Search results

Filters

  • Journals
  • Authors
  • Keywords
  • Date
  • Type

Search results

Number of results: 16
items per page: 25 50 75
Sort by:
Download PDF Download RIS Download Bibtex

Abstract

The paper deals with examination of financial profitability of the introduction of rainwater utilization system (RWUS) in multi-family residential buildings. The aim of the work was to build a simulation model of such system and mak_e an LCC analysis of some options of rainwater utilization system. The proposed conception of a new method of selecting the most cost-effective option of RWUS includes: building of simulation model of such system, making the LCC analysis and using a scenario analysis for supporting decision making process with uncertainty. This new method has been applied to a dwelling house in Poland. The results obtained from the analysis demonstrate the unprofitabiliry of the introduction o fRWUS in multi-family residential buildings for the adopted location in Poland. The presented method can be used by individual designers and managers to decide on the selection of the most appropriate water supplying option for a specific location.
Go to article

Authors and Affiliations

Daniel Słyś
Tadeusz Bewszko
Download PDF Download RIS Download Bibtex

Abstract

This study tried to assess the impact of climate change on water resources of the upper Awash River sub- basin (Ethiopia) using a statistical downscaling model (SDSM). The future climatic parameters (rainfall, maximum and minimum temperatures) were generated by downscaling outputs of HadCM3 (Hadley Centre Coupled Model, ver-sion 3) general circulation model to watershed level for A2a (medium-high) and B2a (medium-low) emission scenarios at representative stations (Addis Ababa, Ginchi and Bishoftu). These SDSM generated climatic data were used to develop current/baseline period (1971–2010) and future climate change scenarios: 2020s (2011–2040), 2050s (2041– 2070) and 2080s (2071–2099). The projected future rainfall and mean monthly potential evapotranspiration at these stations were weighted and fed to HBV hydrological model (Hydrologiska Byråns Vattenbalansavdelning model) for future stream flow simulation. These simulated future daily flow time series were processed to monthly, seasonal and annual time scales and the values were compared with that of base period for impact assessment. The simulation result revealed the possibility for significant mean flow reductions in the future during Summer or “Kiremt” (main rainy season) and apparent increase during “Belg” or winter (dry season). Autumn flow volume showed decreasing trend (2020s), but demonstrated increasing trend at 2050s and 2080s. A mean annual flow reduction (ranging from 13.0 to 29.4%) is also expected in the future for the three studied benchmark periods under both emission scenarios. Generally, the result signals that the water resources of upper Awash River basin will be expected to be severely affected by the changing climate. Therefore, different adaptation options should be carried out in order to reduce the likely impact and ensure water security in the sub-basin.
Go to article

Authors and Affiliations

Eshetu Ararso Heyi
1
Megersa Olumana Dinka
2
ORCID: ORCID
Girma Mamo
3
ORCID: ORCID

  1. Oromia Agricultural Research Institute, Agricultural Engineering Research Directorate, Addis Ababa, Ethiopia
  2. University of Johannesburg, Faculty of Engineering and the Built Environment, Department of Civil Engineering Sciences, PO Box 524, Auckland Park, 2006 Johannesburg, South Africa
  3. Ethiopian Institute of Agricultural Research, Addis Ababa, Ethiopia
Download PDF Download RIS Download Bibtex

Abstract

The most worldwide method of liquidating underground hard coal mines is by spontaneous flooding as the result of the discontinuation of the rock mass drainage. Due to the hydrological reconstruction of the previously disturbed water system by mining operations, the movements of the rock mass with the opposite direction than subsidence appear. These movements are called rock mass uplift. This paper aims to present possible hazards related to land surface objects and the environment, which can appear during the flooding of the underground mine. The issue of proper forecasting of this phenomenon has so far been marginal in world literature. To date, only a few analytical methods have been used to predict the possible effects of surface deformation. Nowadays, the most common analytical method of forecasting surface deformation caused by the liquidation of underground workings by flooding is Sroka’s method. In this paper, the authors have presented analyses of flooding scenarios developed for a Polish mine and their impact on the land surface as well as the environment. The scenarios presented in the manuscript were selected for analysis as the most probable concerning the mine and the future plans of the mining enterprise. The process of flooding coal mines results in several risks for surface objects and underground infrastructure. This is why the uplift caused by the flooding of the mine should be predicted. The resulting uplifting movements can also, apart continuous deformation lead to the creation of much more dangerous phenomena involving discontinuous deformations.
Go to article

Bibliography

  1. Álvarez, R., Ordóñez, A., De Miguel, E. & Loredo, C. (2016). Prediction of the flooding of a mining reservoir in NW Spain. Journal of Environmental Management, 184, 219–228. DOI: 10.1016/j.jenvman.2016.09.072
  2. Baglikow, V. (2011). Damage-relevant effects of mine water recovery – conclusions from the Erkelenz hard coal district. Markscheidewesen, 118, 10–16.
  3. Bekendam, R.F. & Pöttgens, J.J.E. (1995). Ground movements over the coal mines of southern Limburg, The Netherlands, and their relation to rising mine waters. 5tfh International Symposium on Land Subsidence, 3–12.
  4. Blachowski, J., Cacoń, S., & Milczarek, W. (2009). Analysis of post-mining ground deformations caused by underground coal extractions in complicated geological conditions. Acta Geodyn. Geomater, 6(3), 351–357.
  5. Caro Cuenca, M., Hooper, A.J. & Hanssen, R.F. (2013). Surface deformation induced by water influx in the abandoned coal mines in Limburg, The Netherlands observed by satellite radarinterferometry. Journal of Applied Geophysics, 88, 1–11. DOI: 10.1016/j.jappgeo.2012.10.003
  6. Devleeschouwer, X., Declercq, P.Y., Flamion, B., Brixko, J., Timmermans, A. & Vanneste, J. (2008). Uplift revealed by radar interferometry around Liège (Belgium): a relation with rising mining groundwater. Proceedings of Post-Mining 2008, 1–13.
  7. Dudek, M., Rusek, J., Tajduś, K. & Słowik, L. (2021). Analysis of steel industrial portal frame building subjected to loads resulting from land surface uplift following the closure of underground mines. Archives of Civil Engineering, 67(3). Dudek, M., & Tajduś, K. (2021). FEM for prediction of surface deformations induced by flooding of steeply inclined mining seams. Geomechanics for Energy and the Environment, 100254. DOI: 10.1016/j.gete.2021.100254
  8. Dudek, M., Tajduś, K., Misa, R. & Sroka, A. (2020). Predicting of land surface uplift caused by the flooding of underground coal mines – A case study. International Journal of Rock Mechanics and Mining Sciences, 132, 104377. DOI: 10.1016/j.ijrmms.2020.104377
  9. Fenk, J. (2000). An analytical solution for calculating urface heave when flooding underground mine workings , 107, 4220–4422.
  10. Gudmundsson, A., Simmenes, T.H., Larsen, B. & Philipp, S.L. (2010). Effects of internal structure and local stresses on fracture propagation, deflection, and arrest in fault zones. Journal of Structural Geology, 32(11), 1643–1655. DOI: 10.1016/j.jsg.2009.08.013
  11. Heitfeld, K., Heitfeld, M., Rosner, P. & Sahl, H. (2003). Controlled mine water increase in Aachen and Sudlimburg stone coal district. 5. Aachener Bergschandemkundliches Kolloquium, 71–85. (in German)
  12. Heitfeld, M., Rosner, P. & Mühlenkamp, M. (2016). Gutachten zu den Bodenbewegungen im Rahmen des stufenweisen Grubenwasseranstiegs in den Wasserprovinzen Reden und
  13. Duhamel. Bewertung des Einwirkungspotentials und Monitoring Konzept-Anstieg bis – 320 m NHN.
  14. Heitfeld, M., Rosner, P., Mühlenkamp, M. & Sahl, H. (2004). Bergschäden im Erkelenzer Steinkohlenrevier. 4. Altbergbaukolloquium, 281–295.
  15. Jakubick, A., Jenk, U. & Kahnt, R. (2002). Modelling of mine flooding and consequences in the mine hydrogeological environment: flooding of the Koenigstein mine, Germany. Environmental Geology, 42(2–3), 222–234. DOI: 10.1007/s00254-001-0492-9
  16. Jewartowski, T., Mizerka, J. & Mróz, C. (2015). Coal-Mine Liquidation as a Strategic Managerial Decision: a Decision-Making Model Based on the Options Approach / Archives of Mining Sciences, 60(3), 697–713. DOI: 10.1515/amsc-2015-0046 (in Polish)
  17. John, A. (2021). Monitoring of Ground Movements Due to Mine Water Rise Using Satellite-Based Radar Interferometry – A Comprehensive Case Study for Low Movement Rates in the German Mining Area Lugau/Oelsnitz. Mining, 1(1), 35–58. DOI: 10.3390/mining1010004
  18. Knothe, S. (1984). Prognozowanie wpływów eksploatacji górniczej. Wydawnictwo Śląsk (in Polish).
  19. Kołodziejczyk, P., Musioł, S. & Wesołowski, M. (2007). Ability to forecast mining area uplift as a result of mine flooding. 63(9), 6–11.
  20. Kowalska, I. J. (2014). Risk management in the hard coal mining industry: Social and environmental aspects of collieries’ liquidation. Resources Policy, 41, 124–134. DOI: 10.1016/j.resourpol.2014.05.002
  21. Krzemień, A., Suárez Sánchez, A., Riesgo Fernández, P., Zimmermann, K. & González Coto, F. (2016). Towards sustainability in underground coal mine closure contexts: A methodology proposal for environmental risk management. Journal of Cleaner Production, 139, 1044–1056. DOI: 10.1016/j.jclepro.2016.08.149
  22. Liu, D. (2020). A numerical method for analyzing fault slip tendency under fluid injection with XFEM. Acta Geotechnica, 15(2), 325–345. DOI: 10.1007/s11440-019-00814-w
  23. Management of environmental risks during and after mine closure, Contract No. RFCR-CT-2015-00004. (2020).
  24. Milczarek, W. (2011). Analysis of changes in the rock mass surface after mining in a selected area of the former Wałbrzych Basin.Wroclaw University of Science and Technology. (in Polish).
  25. Mróz, T.M. & Grabowska, W. (2021). The use of geothermal energy in co-generated heat and power production in Poland – a case study. Archives of Environmental Protection, 47(3), 82–91. DOI: 10.24425/aep.2021.138466
  26. Pöttgens, J.J.E. (1985). Bodenhebung durch ansteigendes Grubenwasser. 6. Internationaler Kongress Für Markscheidewesen, 928–938.
  27. Preuβe, A., Kateloe, H.J. & Sroka, A. (2013). Subsidence and uplift prediction in German and Polish hard coal mining.Markscheidewesen, 120, 23–34.
  28. Samsonov, S., D’Oreye, N. & Smets, B. (2013). Ground deformation associated with post-mining activity at the French–German border revealed by novel InSAR time series method. International Journal of Applied Earth Observation and Geoinformation, 23, 142–154. DOI: 10.1016/j.jag.2012.12.008
  29. Sattari, A. & Eaton, D. (2014). Finite element modelling of fault stress triggering due to hydraulic fracturing. GeoConvention 2014: FOCUS Adapt, Refine, Sustain.
  30. Schaefer, W. (2007). Ground movements in the tectonics of the Rhenish lignite mining area, 215–225. (in Polish).
  31. Sroka, A. (2005). Ein Beitrag zur Vorausberechnung der durch den Grubenwasseranstieg bedingten Hebungen. 5. Altbergbau- -Kolloquium, 453–462.
  32. Sroka, A., Preuβe, A., Tajduś, K. & Misa, R. (2016). Gutachterliche Stellungnahme zum Einfluss möglicher Grubenwasserregulierungsmaßnahmen auf die Abwasserinfrastruktur der Emschergenossenschaft Teil 1/1: Markscheiderische Beurteilung.
  33. Sroka, A., Tajduś, K. & Misa, R. (2017). Gutachterliche Stellungnahme zur Auswirkung des Grubenwasseranstiegs im Ostfeld des Bergwerkes Ibbenbüren auf die Tagesoberfläche.
  34. Tajduś, A. & Tokarski, S. (2020). Risks Related to Energy Policy of Poland Until 2040 (EPP 2040). Archives of Mining Sciences, 877–899.
  35. Tajduś, K., Sroka, A., Misa, R. & Dudek, M. (2017). Examples of threats to the ground surface with discontinuous deformations of the surface type appearing over liquidated underground mining excavations, 19(3), 3–10. (in Polish).
  36. Vervoort, A. & Declercq, P.-Y. (2017). Surface movement above old coal longwalls after mine closure. International Journal of Mining Science and Technology, 27(3), 481–490. DOI: 10.1016/j.ijmst.2017.03.007
  37. Vervoort, A. & Declercq, P.-Y. (2018). Upward surface movement above deep coal mines after closure and flooding of underground workings. International Journal of Mining Science and Technology, 28(1), 53–59. https://doi.org/10.1016/j.ijmst.2017.11.008
  38. Wasielewski, R., Wojtaszek, M. & Plis, A. (2020). Investigation of fly ash from co-combustion of alternative fuel (SRF) with hard coal in a stoker boiler. Archives of Environmental Protection, 46 (No 2), 58–67. DOI: 10.24425/aep.2020.133475
  39. Wesołowski, M. (2012). Computer simulation of the impact of flooding mine workings of the former mine "Gliwice" and "Pstrowski" on land surface, 68(5), 54–59. (in Polish).
  40. Wysocka, M., Skubacz, K., Chmielewska, I., Urban, P. & Bonczyk, M. (2019). Radon migration in the area around the coal mine during closing process. International Journal of Coal Geology, 212, 103253. DOI: 10.1016/j.coal.2019.103253
  41. Zwierzchowski, R. & Różycka-Wrońska, E. (2021). Operational determinants of gaseous air pollutants emissions from coal-fired district heating sources. Archives of Environmental Protection, 47(3), 108–119. DOI: 10.24425/aep.2021.1384
Go to article

Authors and Affiliations

Mateusz Dudek
1
ORCID: ORCID
Krzysztof Tajduś
1
ORCID: ORCID
Janusz Rusek
2
ORCID: ORCID

  1. Strata Mechanics Research Institute, Polish Academy of Sciences, ul. Reymonta 27, 30-059 Cracow, Poland
  2. Faculty of Mining Surveying and Environmental Engineering, AGH University of Science and Technology, al. Mickiewicza 30, 30-059 Cracow, Poland
Download PDF Download RIS Download Bibtex

Abstract

The output of renewable energy is strongly uncertain and random, and the distribution of voltage and reactive power in regional power grids is changed with the access to large-scale renewable energy. In order to quantitatively evaluate the influence of renewable energy access on voltage and reactive power operation, a novel combinational evaluation method of voltage and reactive power in regional power grids containing renewable energy is proposed. Firstly, the actual operation data of renewable energy and load demand are clustered based on the K-means algorithm, and several typical scenarios are divided. Then, the entropy weight method (EWM) and the analytic hierarchy process (AHP) are combined to evaluate the voltage qualified rate, voltage fluctuation, power factor qualified rate and reactive power reserve in typical scenarios. Besides, the evaluation results are used as the training samples for back-propagation (BP) neural networks. The proposed combinational evaluation method can calculate the weight coefficient of the indexes adaptively with the change of samples, which simplifies the calculation process of the indexes’ weight. At last, the case simulation of an actual regional power grid is provided, and the historical data of one year is taken as the sample for training, evaluating and analyzing. And finally, the effectiveness of the proposed method is verified based on the comparison with the existing method. The evaluated results could provide reference and guidance to the operation analysis and planning of renewable energy.
Go to article

Bibliography

[1] Sharif A., Raza S.A., Ozturk I., Afshan S., The dynamic relationship of renewable and nonrenewable energy consumption with carbon emission: a global study with the application of heterogeneous panel estimations, Renewable Energy, vol. 133, pp. 685–691 (2019), DOI: 10.1016/j.renene.2018.10.052.
[2] Ossowska L.J., Janiszewska D.A., Toward sustainable energy consumption in the European Union, Archives of Electrical Engineering, vol. 23, no. 1, pp. 37–48 (2020), DOI: 10.33223/epj/119371.
[3] Zhang W.Q., Zhang X.Y., Huang S.W., Xia Y.K., Fan X.C., Evolution of a transmission network with high proportion of renewable energy in the future, Renewable Energy, vol. 102, pp. 372–379 (2017), DOI: 10.1016/j.renene.2016.10.057.
[4] Zhou Q., Wang N.B., Shen C.Y., Zhao L., Wang D.M., Zhang J.M., Analysis of the reasons and prospect for the abandonment of new energy power in China, Proceedings of the 2016 5th International Conference on Energy and Environmental Protection, Shenzhen, China (2016).
[5] Tang Z.Y., Hill D.J., Liu T., Two-stage voltage control of subtransmission networks with high penetration of wind power, Control Engineering Practice, vol. 62, pp. 1–10 (2017), DOI: 10.1016/j.conengprac.2017.02.013.
[6] da Costa J.N., Passos J.A., Henriques R.M., Loading margin sensitivity analysis in systems with significant wind power generation penetration, Electric Power Systems Research, vol. 175, pp. 1–9 (2019), DOI: 10.1016/j.epsr.2019.105900.
[7] Cai Y., Wang Z.C., Li Y., Cao Y.J., Tan Y.D., Tang X., A novel operation of regional power grids in china: the generator voltage-class-reduction scheme, IEEE Access, vol. 7, pp. 132841–132850 (2019), DOI: 10.1109/ACCESS.2019.2939925.
[8] Kumar V.S.S., Reddy K.K., Thukaram D., Coordination of reactive power in grid-connected wind farms for voltage stability enhancement, IEEE Transactions on Power Systems, vol. 29, pp. 2381–2390 (2014), DOI: 10.1109/TPWRS.2014.2300157.
[9] Liu Q.J., Yu L.F., Li Z.H., Zeng J., Chen S.Y., Regional grid voltage reactive power optimization strategy based on voltage qualification rate evaluation function, 2018 International Conference on Power System Technology, Guangzhou, China, pp. 3875–3882 (2018).
[10] Mahela O.P., Khan B., Alhelou H.H., Siano P., Power quality assessment and event detection in distribution system with wind energy penetration using S-transform and fuzzy clustering, IEEE Transactions on Industrial Informatics, vol. 16, no. 11, pp. 6922–6932 (2020), DOI: 10.1109/TII.2020.2971709.
[11] Mahela O.P., Khan B., Alhelou H.H., Tanwar S., Assessment of power quality in the utility grid integrated with wind energy generation, IET Power Electronics, vol. 13, no. 13, pp. 2917–2925 (2020), DOI: 10.1049/iet-pel.2019.1351.
[12] Swain S., Ray P.K., Short circuit fault analysis in a grid connected DFIG based wind energy system with active crowbar protection circuit for ride through capability and power quality improvement, International Journal of Electrical Power and Energy System, vol. 84, pp. 64–75 (2017), DOI: 10.1016/j.ijepes.2016.05.006.
[13] Wang S.X., Ge L.J., Cai S.X., Wu L., Hybrid interval AHP-entropy method for electricity user evaluation in smart electricity utilization, Journal of Modern Power Systems and Clean Energy, vol. 6, pp. 701–711 (2018), DOI: 10.1007/s40565-017-0355-3.
[14] Huang Y.S., Jiang Y.Q., Wang J., Li J., Adaptability evaluation of distributed power sources connected to distribution network, IEEE Access, vol. 9, pp. 42409–42423 (2021), DOI: 10.1109/ACCESS.2021.3066206.
[15] Du J., Cai C., Xie Z.J., Geng M.Z., Comprehensive energy efficiency evaluation of municipal power grid based on TOPSIS method, 2020 5th Asia Conference on Power and Electrical Engineering, Chengdu, China, pp. 829–833 (2020).
[16] Xu J.Z., Tong G.Q., Chen Q.,Wu M., A new evaluation method of the fault recovery scheme for mediumlow voltage dc distribution network, 2020 5th Asia Conference on Power and Electrical Engineering, Chengdu, China, pp. 1730–1735 (2020).
[17] Cheng Y.M., Liu C., Wu J., Liu H.M., Lee I.K., Niu J., Cho J.P., Koo K.W., Lee M.W., Woo D.G., A back propagation neural network with double learning rate for PID controller in phase-shifted full-bridge soft-switching power supply, Journal of Electrical Engineering and Technology, vol. 15, no. 6, pp. 2811–2822 (2020), DOI: 10.1007/s42835-020-00523-5.
[18] Li J.J., Zhang M.Y., Li Z.G., Zhang T., Zhang Q., Chi C., Study on grid planning method considering multiple energy access, 2018 International Conference on Smart Grid and Electrical Automation, Changsha, China, pp. 59–62 (2018).
[19] Malengret M., Gaunt C.T., Active currents, power factor, and apparent power for practical power delivery systems, IEEE Access, vol. 8, pp. 133095–133113 (2020), DOI: 10.1109/ACCESS.2020.3010638.
[20] Wiczynski G., Determining location of voltage fluctuation source in radial power grid, Electric Power Systems Research, vol. 180, pp. 1–10 (2020), DOI: 10.1016/j.epsr.2019.106069.
[21] Hong Y., Bie Z.H., Li G.F., Liu S.Y., Berizzi A., The integrated reliability evaluation of distribution system considering the system voltages adjustment, 2017 1st IEEE International Conference on Environment and Electrical Engineering and 2017 17th IEEE Industrial and Commercial Power Systems Europe, Milan, Italy (2017).
[22] Truong D.N., Ngo V.T., Estimation of parameters associated with individual sources of voltage fluctuations, International Journal of Electrical Power and Energy Systems, vol. 65, no. 2, pp. 425–431 (2015), DOI: 10.1109/TPWRD.2020.2976707.
[23] Zhang W.M., Zhang Y.X., The reactive power and voltage control management strategy based on virtual reactance cloud control, Archives of Electrical Engineering, vol. 69, no. 4, pp. 921–936 (2020), DOI: 10.24425/aee.2020.134639.
[24] Bian H.H., Zhong Y.Q., Sun J.S., Shi F.C., Study on power consumption load forecast based on K-means clustering and FCM-BP model, Energy Reports, vol. 6, pp. 693–700 (2020), DOI: 10.1016/j.egyr.2020.11.148.
[25] Chen Z., Du Z.B., Zhan H.Q., Wang K., An evaluation method of reactive power and voltage control ability for multiple distributed generators in an islanded micro-grid, 2018 International Conference on Power System Technology, Guangzhou, China, pp. 1819–1825 (2018).
[26] Lin C.F., Fang C.Z., Chen Y.L., Liu S.Y., Bie Z.H., Scenario generation and reduction methods for power flow examination of transmission expansion planning, 2017 IEEE 7th International Conference on Power and Energy Systems, Toronto, Canada, pp. 90–95 (2017).
Go to article

Authors and Affiliations

Yuqi Ji
1
ORCID: ORCID
Xuehan Chen
1
Han Xiao
2
Shaoyu Shi
2
Jing Kang
2
Jialin Wang
2
Shaofeng Zhang
2

  1. Zhengzhou University of Light Industry College of Electrical and Information Engineering, China
  2. Sanmenxia Power Supply Company of State Grid Henan Electric Power Company, China
Download PDF Download RIS Download Bibtex

Abstract

The pressure on the use of water and climate change has caused a decreased availability of water resources in semi-arid areas in the last decades. The Setif Province is one of the semi-arid zones of Algeria as it receives an average less than 400 mm∙year–1. The question of the evolution of demographic pressures and their impacts on water resources arise. By applying WEAP software (water evaluation and planning), the aim is to develop a model of water resources management and its uti-lization, assess the proportion of the resource-needs balance and analyse the future situation of water according to different scenarios. This approach allows to identify the most vulnerable sites to climatic and anthropogenic pressures. The estima-tion of the needs for drinking water and wastewater in the Setif Province has shown that these needs increase over time and happening when the offer is not able to cover the demand in a suitable way. It is acknowledged that there is a poor exploita-tion of water resources including underground resources, which translates into unmet demand in all sites of demand.

Go to article

Authors and Affiliations

Imad E. Bouznad
Omar Elahcene
Mohamed S. Belksier
Download PDF Download RIS Download Bibtex

Abstract

The subject of this paper is to analyse the climate change and its influence on the energy performance of building and indoor temperatures. The research was made on the example of the city of Kielce, Poland. It was was carried out basing on the Municipal Adaptive Plan for the city of Kielce and climate data from the Ministry of Investment and Development.The predicted, future parameters of the climate were estimated using the tool Weather Shift for Representative Concentration Pathways (RCP). The analysis took into consideration the RCP4.5 and RCP8.5 scenarios for years 2035 and 2065, representing different greenhouse gas concentration trajectories. Scenario RCP4.5represents possible, additional radiative forcing of 4.5 W/m2 in 2100, and RCP8.5 an additional 8.5 W/m2. The calculated parameters included average month values of temperature and relative humidity of outdoor air, wind velocity and solar radiation. The results confirmed the increase of outdoor temperature in the following year. The values of relative humidity do not change significantly for the winter months, while in the summer months decrease is visible. No major changes were spotted in the level of solar radiation or wind speed. Based on the calculated parameters dynamic building modelling was carried out using the TRNSYS software. The methodology and results of the calculations will be presented in the second part of the paper.
Go to article

Bibliography


[1] D. Burghila, C.-E. Bordun, M. Doru, N. Sarbu, A. Badea, and S. M. Cimpeanu, “Climate Change Effects – Where to Next?,” Agric. Agric. Sci. Procedia, 2015, https://doi.org/10.1016/j.aaspro.2015.08.107
[2] H. Kawase et al., “Changes in extremely heavy and light snow-cover winters due to global warming over high mountainous areas in central Japan,” Prog. Earth Planet. Sci., 2020, https://doi.org/10.1186/s40645-020-0322-x
[3] Z. Zhou et al., “Is the cold region in Northeast China still getting warmer under climate change impact?,” Atmos. Res., 2020, https://doi.org/10.1016/j.atmosres.2020.104864
[4] J. Hansen, M. Sato, R. Ruedy, K. Lo, D. W. Lea, and M. Medina-Elizade, “Global temperature change,” Proc. Natl. Acad. Sci. U. S. A., 2006, https://doi.org/10.1073/pnas.0606291103
[5] Z. W. Kundzewicz et al., “Flood risk and climate change: global and regional perspectives,” Hydrol. Sci. J., 2014, https://doi.org/10.1080/02626667.2013.857411
[6] L. Gu et al., “Projected increases in magnitude and socioeconomic exposure of global droughts in 1.5 and 2 °C warmer climates,” Hydrol. Earth Syst. Sci., 2020, https://doi.org/10.5194/hess-24-451-2020
[7] M. Kocsis, A. Dunai, A. Makó, A. Farsang, and J. Mészáros, “Estimation of the drought sensitivity of Hungarian soils based on corn yield responses,” J. Maps, 2020, https://doi.org/10.1080/17445647.2019.1709576
[8] E. M. Blyth, A. Martínez-de la Torre, and E. L. Robinson, “Trends in evapotranspiration and its drivers in Great Britain: 1961 to 2015,” Prog. Phys. Geogr., 2019, https://doi.org/10.1177/0309133319841891
[9] V. Diaz, G. A. Corzo Perez, H. A. J. Van Lanen, D. Solomatine, and E. A. Varouchakis, “Characterisation of the dynamics of past droughts,” Sci. Total Environ., 2019, https://doi.org/10.1016/j.scitotenv.2019.134588
[10] J. Ma et al., “The Characteristics of Climate Change and Adaptability Assessment of Migratory Bird Habitats in Wolonghu Wetlands,” Wetlands, 2019, https://doi.org/10.1007/s13157-018-1068-8
[11] R. Bhambri et al., “The hazardous 2017–2019 surge and river damming by Shispare Glacier, Karakoram,” Sci. Rep., 2020, https://doi.org/10.1038/s41598-020-61277-8
[12] D. Parkes and B. Marzeion, “Twentieth-century contribution to sea-level rise from uncharted glaciers,” Nature. 2018, https://doi.org/10.1038/s41586-018-0687-9
[13] M. Zemp et al., “Global glacier mass changes and their contributions to sea-level rise from 1961 to 2016,” Nature. 2019, https://doi.org/10.1038/s41586-019-1071-0
[14] A. F. S. Ribeiro, A. Russo, C. M. Gouveia, P. Páscoa, and C. A. L. Pires, “Probabilistic modelling of the dependence between rainfed crops and drought hazard,” Nat. Hazards Earth Syst. Sci. Discuss., 2019, https://doi.org/10.5194/nhess-2019-37
[15] T. Frederikse et al., “Antarctic Ice Sheet and emission scenario controls on 21st-century extreme sea-level changes,” Nat. Commun., 2020, https://doi.org/10.1038/s41467-019-14049-6
[16] A. Di Luca, R. de Elía, M. Bador, and D. Argüeso, “Contribution of mean climate to hot temperature extremes for present and future climates,” Weather Clim. Extrem., 2020, https://doi.org/10.1016/J.WACE.2020.100255
[17] T. F. Stocker et al., Climate change 2013 the physical science basis: Working Group I contribution to the fifth assessment report of the intergovernmental panel on climate change. 2013.
[18] S. Schaphoff, U. Heyder, S. Ostberg, D. Gerten, J. Heinke, and W. Lucht, “Contribution of permafrost soils to the global carbon budget,” Environ. Res. Lett., 2013, https://doi.org/10.1088/1748-9326/8/1/014026
[19] D. M. Lawrence, C. D. Koven, S. C. Swenson, W. J. Riley, and A. G. Slater, “Permafrost thaw and resulting soil moisture changes regulate projected high-latitude CO2 and CH4 emissions,” Environ. Res. Lett., 2015, https://doi.org/10.1088/1748-9326/10/9/094011
[20] S. T. Ngai et al., “Future projections of Malaysia daily precipitation characteristics using bias correction technique,” Atmos. Res., 2020, https://doi.org/10.1016/j.atmosres.2020.104926
[21] B. E. Berglund, “Human impact and climate changes - Synchronous events and a causal link?,” Quat. Int., 2003, https://doi.org/10.1016/s1040-6182(02)00144-1
[22] C. K. Folland et al., “Global temperature change and its uncertainties since 1861,” Geophys. Res. Lett., 2001, https://doi.org/10.1029/2001GL012877
[23] A. Goliger et al., “Comparative study between poland and south africa wind climates, the related damage and implications of adopting the eurocode for wind action on buildings,” Arch. Civ. Eng., 2013, https://doi.org/10.2478/ace-2013-0003
[24] T. Skoczkowski, S. Bielecki, A. Węglarz, M. Włodarczak, and P. Gutowski, “Impact assessment of climate policy on Poland’s power sector,” Mitig. Adapt. Strateg. Glob. Chang., 2018, https://doi.org/10.1007/s11027-018-9786-z
[25] A. Miszczuk, “Influence of air tightness of the building on its energy-efficiency in single-family buildings in Poland,” in MATEC Web of Conferences, 2017, vol. 117, https://doi.org/10.1051/matecconf/201711700120
[26] S. Firlag, “Wpływ rodzaju systemu ogrzewczego na komfort cieplny i zużycie energii w jednorodzinnych budynkach pasywnych,” Czas. Tech., vol. 107, no. 4, pp. 49–57, 2010.
[27] Sotiris Vardoulakis, Chrysanthi Dimitroulopoulou, John Thornes, Ka-Man Lai, Jonathon Taylor, Isabella Myers, Clare Heaviside, Anna Mavrogianni, Clive Shrubsole, Zaid Chalabi, Michael Davies, Paul Wilkinson, Impact of climate change on the domestic indoor environment and associated health risks in the UK, Environment International, Volume 85, 2015, Pages 299–313, ISSN 0160-4120, https://doi.org/10.1016/j.envint.2015.09.010
[28] Mancini F, Lo Basso G. How Climate Change Affects the Building Energy Consumptions Due to Cooling, Heating, and Electricity Demands of Italian Residential Sector. Energies. 2020; 13(2): p. 410. https://doi.org/10.3390/en13020410
[29] Stagrum, A.E.; Andenæs, E.; Kvande, T.; Lohne, J. Climate Change Adaptation Measures for Buildings – A Scoping Review. Sustainability 2020, 12, 1721. https://doi.org/10.3390/su12051721
[30] I. Szer, E. Błazik-Borowa, and J. Szer, “The Influence of Environmental Factors on Employee Comfort Based on an Example of Location Temperature,” Arch. Civ. Eng., 2017, https://doi.org/10.1515/ace-2017-0035
[31] Knera D, Heim D. Application of a BIPV to cover net energy use of the adjacent office room. Manag Environ Qual An Int J 2016;27:649–62. https://doi.org/10.1108/MEQ-05-2015-0104
[32] Wieprzkowicz A, Heim D. Energy performance of dynamic thermal insulation built in the experimental façade system. Manag Environ Qual 2016;27. https://doi.org/10.1108/MEQ-05-2015-0097
[33] Barecka MH, Zbicinski I, Heim D. Environmental, energy and economic aspects in a zero-emission façade system design. Manag Environ Qual An Int J 2016;27:708–21. https://doi.org/10.1108/MEQ-05-2015-0105
[34] Firląg S, Piasecki M. NZEB Renovation Definition in a Heating Dominated Climate: Case Study of Poland. Applied Sciences. 2018; 8(9):1605. https://doi.org/10.3390/app8091605
[35] M. Kuśmierz, A., Hajto, M., Kacprzyk, W., Lisowska-Mieszkowska, E., Pawlak, J., Rymwid-Mickiewicz, K., Śnieżek, T., Grzegorczyk, I., Gorczyński, C., Kacprzyk, K., Borzyszkowski, J., Kamiński, Plan Adaptacji do zmian klimatu Miasta Kielce do roku 2030. Kielce, Warszawa, 2018.
[36] S. C. Maberly et al., “Global lake thermal regions shift under climate change,” Nat. Commun., 2020, https://doi.org/10.1038/s41467-020-15108-z
[37] Ministry of Investment and Development, Typical meteorological years and statistical climate data for energy calculations of buildings. Warsaw, 2018
[38] A. D. McGuire et al., “Dependence of the evolution of carbon dynamics in the northern permafrost region on the trajectory of climate change,” Proc. Natl. Acad. Sci. U. S. A., 2018, https://doi.org/10.1073/pnas.1719903115
[39] K. Riahi, A. Grübler, and N. Nakicenovic, “Scenarios of long-term socio-economic and environmental development under climate stabilization,” Technol. Forecast. Soc. Change, 2007, https://doi.org/10.1016/j.techfore.2006.05.026
[40] Intergovernmental Panel on Climate Change, Towards new scenarios for analysis of emissions, climate change, impacts, and response strategies. IPCC Expert Meeting Report on New Scenarios. Noordwijkerhout, 2008.
[41] J. Wibig, “Heat waves in Poland in the period 1951–2015: trends, patterns and driving factors”, Meteorol. Hydrol. Water Manag., 2017, https://doi.org/10.26491/mhwm/78420
[42] A. Krzyżewska and J. Dyer, “The August 2015 mega-heatwave in Poland in the context of past events”, Weather, 2018, https://doi.org/10.1002/wea.3244
[43] S. Russo, J. Sillmann, and E. M. Fischer, “Top ten European heatwaves since 1950 and their occurrence in the coming decades”, Environ. Res. Lett., 2015, https://doi.org/10.1088/1748-9326/10/12/124003
Go to article

Authors and Affiliations

Szymon Firląg
1
ORCID: ORCID
Artur Miszczuk
1
ORCID: ORCID
Bartosz Witkowski
2
ORCID: ORCID

  1. Warsaw University of Technology, Faculty of Civil Engineering, Al. Armii Ludowej 16, 00-637 Warsaw, Poland
  2. Faculty of Civil Engineering, Wroclaw University of Science and Technology, Na Grobli 15, 50-421 Wrocław, Poland
Download PDF Download RIS Download Bibtex

Abstract

Hydrogen-based power engineering has great potential for upgrading present and future structures of heat and electricity generation and for decarbonizing industrial technologies. The production of hydrogen and its optimal utilization in the economy and transport for the achievement of ecological and economic goals requires a wide discussion of many technological and operational – related issues as well as intensive scientific research. The introductory section of the paper indicates the main functions of hydrogen in the decarbonization of power energy generation and industrial processes, and discusses selected assumptions and conditions for the implementation of development scenarios outlined by the Hydrogen Council, 2017 and IEA, 2019. The first scenario assumes an 18% share of hydrogen in final energy consumption in 2050 and the elimination 6 Gt of carbon dioxide emissions per year. The second document was prepared in connection with the G20 summit in Japan. It presents the current state of hydrogen technology development and outlines the scenario of their development and significance, in particular until 2030. The second part of the paper presents a description of main hybrid Power-to-Power, Power-to-Gas and Power-to-Liquid technological structures with the electrolytic production of hydrogen from renewable sources. General technological diagrams of the use of water and carbon dioxide coelectrolysis in the production of fuels using F-T synthesis and the methanol production scheme are presented. Methods of integration of renewable energy with electrolytic hydrogen production technologies are indicated, and reliability indicators used in the selection of the principal modules of hybrid systems are discussed. A more detailed description is presented of the optimal method of obtaining a direct coupling of photovoltaic (PV) panels with electrolyzers.

Go to article

Authors and Affiliations

Tadeusz Chmielniak
Download PDF Download RIS Download Bibtex

Abstract

Bierwiaczonek (2013: 201-202) proposed an analysis of the polysemy of the verb see based on propositional metonymic mappings. In Matusz (2020) I supported this claim with a short dictionary analysis. In the present paper, I propose a similar analysis of the polysemy of hear based on propositional metonymy processes. In order to do that a short dictionary analysis is performed to determine the basic non- metonymic meaning of the verb and to distinguish the senses motivated by metonymic mappings. The analysis performed on the basis of three dictionary sources shows that a significant number of senses of hear may plausibly be explained as cases of PART FOR WHOLE propositional metonymic patterns. The metonymic shift may be demonstrated on the basis of State-of-Affairs Scenarios (SASs), as proposed by Panther and Thornburg (1999), due to the fact that within such scenarios the stage of auditory perception constitutes a particularly salient stage (a stage of SAS for SAS). Alternatively, some dictionary samples are ambiguous between the PART FOR WHOLE metonymic interpretation and the metaphoric reading wherein metonymy plays an active role in the emergence of the metaphoric shift. Thus, reference to metonymy-metaphor interaction appears indispensable. In the paper, I propose an analysis of such cases based on Ruiz de Mendoza and Díez Velasco (2002), who consider the role of metonymic domain expansion within the source of the metaphoric mappings.
Go to article

Authors and Affiliations

Łukasz Matusz
1

  1. University of Silesia
Download PDF Download RIS Download Bibtex

Abstract

Air quality in Warsaw is mainly affected by two classes of internal polluting sources: transportation and municipal sector emissions, apart from external pollution inflow. Warsaw authorities prepared strategies of mitigating emissions coming from both these sectors. In this study we analyze effects of the implementation of these strategies by modeling air pollution in Warsaw using several mitigation scenarios. The applied model, operating on a homogeneous discretization grid, forecasts the annual average concentrations of individual pollutants and the related population health risk. The results reveal that the measures planned by the authorities will cause almost 50% reduction of the residents’ exposure to NOx pollution and almost 23% reduction of the exposure to CO pollution due to the transport emissions, while the residents’ exposure reductions due to the municipal sector are 10% for PM10, 15% for PM2.5, and 26% for BaP. The relatively smaller reductions due to municipal sector are connected with high transboundary inflow of pollutants (38% for PM10, 45% for PM2.5, 36% for BaP, and 45% for CO). The implementation of the discussed strategies will reduce the annual mean concentrations of NOx and PM2.5 below the limits of the Ambient Air Quality Directive. Despite the lower exposure reduction, the abatement of municipal sector emissions results in a very significant reduction in health risks, in particular, in the attributable mortality and the DALY index. This is due to the dominant share of municipal pollution (PM2.5 in particular) in the related health effects.
Go to article

Bibliography

  1. Bebkiewicz, K., Chłopek, Z., Lasocki, J., Szczepański, K. & Zimakowska-Laskowska, M. (2020). The inventory of pollutants hazardous to the health of living organisms, emitted by road transport in Poland between 1990 and 2017, Sustainability, 12, pp. 1–2, 5387, DOI: 10.3390/su12135387
  2. Berkowicz, R., Winther, M. & Ketzel, M. (2006). Traffic pollution modelling and emission data. Environmental Modelling & Software, 21, pp. 454–460. DOI: 10.1016/j.envsoft.2004.06.013
  3. Buchholz, S., Krein, A., Junk, J., Heinemann, G. & Hoffmann, L. (2013). Simulation of Urban-Scale Air Pollution Patterns in Luxembourg: Contributing Sources and Emission Sce-narios. Environmental Modeling & Assessment, 18, pp. 271–283, DOI: 10.1007/s10666-012-9351-1
  4. Calori, G., Clemente, M., De Maria, R., Finardi, S., Lollobrigida, F., Tinarelli, G. (2006). Air quality integrated modelling in Turin urban area. Environmental Modelling & Software, 21, pp. 468–476, DOI:10.1016/j.envsoft.2004.06.009
  5. Costa, S., Ferreira, J., Silveira, C., Costa, C., Lopes, D., Revals, H., Borrego, C., Robeling, P., Miranda, A.I., Texeira, J.P. (2014). Integrating Health on Air Quality Assessment - Review Report on Health Risks of Two Major European Outdoor Air Pollutants: PM and NO2. Journal of Toxicology and Environmental Health, Part B, 17(6), pp. 307–340. DOI: 10.1080/10937404.2014.946164
  6. Degraeuwe, B., Thunis, P., Clappier, A., Weiss, M., Lefebvre, W., Janssen, S., Vranckx, S. (2017). Impact of passenger car NOx emissions on urban NO2 pollution – Scenario analysis for 8 European cities. Atmospheric Environment, 171, pp. 330–337, DOI: 10.1016/j.atmosenv.2017.10.040
  7. Degraeuwe, B., Pisoni, E., Peduzzi, E., De Meij, A., Monforti-Ferrario, F., Bodis, K., Mascherpa, A., Astorga-Llorens, M., Thunis, P and Vignati, E. (2019). Urban NO2 Atlas (EUR 29943 EN), Publications Office of the European Union, Luxembourg.
  8. EC (2008). AAQD, 2008. Directive 2008/50/EC of the European Parliament and of the Council of 21 May 2008 on ambient air quality and cleaner air for Europe. https://eur-lex.europa.eu/eli/dir/2008/50/oj
  9. EC (2015). Urban air pollution – what are the main sources across the world? https://ec.europa.eu/jrc/en/news/what-are-main-sources-urban-air-pollution
  10. EC (2016). SHERPA: a computational model for better air quality in urban areas.
  11. European Commission Report. https://ec.europa.eu/jrc/en/news/sherpa-computational-model-better-air-quality-urban-areas
  12. EC (2019). Air quality: traffic measures could effectively reduce NO2 concentrations by 40% in cities. https://ec.europa.eu/jrc/en/news/air-quality-traffic-measures-could-effectively-reduce-no2-concentrations-40-europe-s-cities
  13. EEA (2018). Air quality in Europe — 2018 report. EEA Report, No 12/2018. https://www.eea.europa.eu/publications/air-quality-in-europe-2018
  14. EEA (2019). Air quality in Europe — 2019 report. EEA Report, No 10/2019 https://www.eea.europa.eu/publications/air-quality-in-europe-2019.
  15. Holnicki, P., Kałuszko, A., Stankiewicz, K. (2016). Particulate matter air pollution in an urban area. A case study. Operations Research and Decisions, 3, pp. 43–56. DOI: 10.5277/ord160303
  16. Holnicki, P., Kałuszko, A., Nahorski, Z., Stankiewicz, K., & Trapp, W. (2017a) Air quality modeling for Warsaw agglomeration. Archives of Environmental Protection, 43, pp. 48–64, DOI: 10.1515/aep-2017-0005
  17. Holnicki, P., Tainio, M., Kałuszko, A., Nahorski, Z. (2017b). Burden of mortality and disease attributable to multiple air pollutants in Warsaw, Poland. International Journal of Environmental Research and Public Health, 14, 1359, DOI:10.3390/ijerph14111359
  18. Holnicki, P., Kałuszko, A., Nahorski, Z., Tainio, M. (2018). Intra-urban variability of the intake fraction from multiple emission sources. Atmospheric Pollution Research, 9, pp. 1184–1193, DOI: 10.1016/j.apr.2018.05.003
  19. Juda-Rezler, K., Reizer. M., Maciejewska, K., Błaszczak, B., Klejnowski, K. (2020). Characterization of atmospheric PM2.5 sources at a Central European urban background site. Science of the Total Environment, 713, 136729 pp. 1–15. DOI: 10.1016/j.scitotenv.2020.136729
  20. Karagulian, F., Belis, C.A., Dora, C.F.C., Prüss-Ustün, A.M., Bonjour, S., Adair-Rohani, H., Amann, M. (2015). Contributions to cities' ambient particulate matter (PM): A systematic review of local source contributions at global level. Atmospheric Environment, 120, pp. 475–483, DOI: 10.1016/j.atmosenv.2015.08.087
  21. Kiesewetter, G., Borken-Kleefeld, J., Schöpp, W., Heyes, C., Thunis, P., Bessagnet. B., Terrenoire, E., Gsella, A., and Amann, M. (2014). Modelling NO2 concentrations at the street level in the GAINS integrated assessment model: projections under current legislation. Atmospheric Chemistry and Physics, 14, pp. 813–829. DOI: 10.5194/acp-14-813-2014
  22. Mediavilla-Sahagún, A., ApSimon, H.M. (2006). Urban scale integrated assessment for London: Which emission reduction strategies are more effective in attaining prescribed PM10 air quality standards by 2005? Environmental Modelling & Software, 21, pp. 501–513, DOI:10.1016/j.envsoft.2004.06.010
  23. Pisoni, E., Thunis, P., Clappier, A. (2019). Application of the SHERPA source-receptor relationships, based on the EMEP MSC-W model, for the assessment of air quality policy scenarios. Atmospheric Environment, X4, 100047, pp. 1–11. DOI: 10.1016/j.aeaoa.2019.100047
  24. Połednik, B., Piotrowicz, A., Pawłowski, L., Guz, Ł. (2018). Traffic-related particle emissions and exposure on an urban road. Archives of Environmental Protection, 44, no. 2, pp. 83–93, DOI: 10.24425/119706
  25. Rith, M., Fillone, A.M., Biona, J.B.M.M. (2020). Energy and environmental benefits and policy implications for private passenger vehicles in an emerging metropolis of Southern Asia – A case study of Metro Manila. Applied Energy, 275, 115240, DOI: 10.1016/j.apenergy.2020.115240
  26. Tainio, M. (2015). Burden of disease caused by local transport in Warsaw, Poland. Journal of Transport & Health, 2, pp. 423–433, DOI: 10.1016/j.jth.2015.06.005
  27. Thunis, P., Clappier, A., Tarrason, L., Cuvelier, C., Monteiro, A., Pisoni, E., Wesseling, J., Belis, C.A., Pirovano, G., Janssen, S., Guerreiro, C., Peduzzi, E. (2019). Source apportionment to support air quality planning: Strengths and weaknesses of existing approaches. Environment International, 130, pp. 1-12, DOI: 10.1016/j.envint.2019.05.019
  28. Thunis, P., Degraeuwe, B., Pisoni, E., Ferrari, F., Clappier, A. (2016). On the design and assessment of regional air quality plans: The SHERPA approach. Journal of Environmental Management, 183, pp. 952-958, DOI: 10.1016/j.jenvman.2016.09.049
  29. WHO (2015). Database on source apportionment studies for particulate matter in the air (PM10 and PM2.5). https://www.who.int/quantifying_ehimpacts/global/source_apport/en/
  30. WHO (2018). Ambient (outdoor) air pollution. https://www.who.int/news-room/fact-sheets/detail/ambient-(outdoor)-air-quality-and-health
  31. WIOŚ (2012). Environment Quality in Mazovian Voivodship in the year 2012. Voivodship Inspectorate of Environment Protection. Report for the year 2012. (in Polish).
  32. Dieselnet_LD (2019). https://dieselnet.com/standards/eu/ld.php 15 JUNE 2020
  33. Instalreporter (2013). https://instalreporter.pl/ogolna/porownanie-emisji-zanieczyszczen-roznych-technologii-grzewczych-wg-raportu-ipts-dla-komisji-europejskiej 25 JAN 2018 (in Polish).
  34. Interia (2019). https://biznes.interia.pl/gospodarka/news-mieszkancy-warszawy-chca-wymieniac-kopciuchy-na-nowe-zrodla-,nId,4268597 26 DEC 2019 (in Polish).
  35. SMOGLAB (2016). https://smoglab.pl/warszawa-ma-prawie-dwa-razy-wiecej-zarejestrowa-nych-pojazdow-na-km2-niz-krakow-wroclaw-i-berlin 20 OCT 2019 (in Polish).
  36. Transportpolicy (2018). https://www.transportpolicy.net/standard/eu-heavy-duty-emissions 10 DEC 2018.
  37. UM (2020). https://www.um.warszawa.pl/aktualnosci/deklaracja-stolicy-na-rzecz-poprawy-jako-ci-powietrza 26 FEB 2020 (in Polish).
Go to article

Authors and Affiliations

Piotr Holnicki
1
Andrzej Kałuszko
1
Zbigniew Nahorski
1

  1. Systems Research Institute, Polish Academy of Sciences, Poland
Download PDF Download RIS Download Bibtex

Abstract

Flooding in the northern part of The Netherlands has caused serious economic threats to densely populated areas. Therefore a project has been carried out in a pilot area to assess the retention of water in two river basins as a way to reduce flooding. The physically-based groundwater and sur-face water model SIMGRO was used to model the hydrology of the basins. The model was calibrated using discharges and groundwater levels. Scenarios of measures to assess the possibility of retaining water in the basin were then defined and tested. The first measure was the retention of higher dis-charges using culverts or gates in the upstream part of the basin. The second measure was to make the streams shallower and thereby, increase flood plain storage. The last measure was flood water storage in a designated area in the downstream part of one basin. The analysis indicates that holding water in the upstream parts of the basins proved to be feasible and can result in significant reductions of peak flows.

Go to article

Authors and Affiliations

Erik P. Querner
Download PDF Download RIS Download Bibtex

Abstract

FAO AquaCrop model ver. 6.1 was calibrated and validated by means of an independent data sets during the harvesting seasons of 2016/2017 and 2017/2018, at El Noubaria site in western north of Egypt. To assess the impact of the increase in temperature and CO2 concentration on potato biomass and tuber yield simulations, experiments were carried out with four downscaled and bias-corrected of General Circulation Models (GCMs) data sets based on the fifth phase of the Coupled Model Intercomparison Project (CMIP5) scenarios under demonstrative Concentration Trails (RCPs) 4.5 and 8.5, selected for 2021–2040 and 2041–2060. The study showed that the model could satisfactorily simulate potato canopy cover, biomass, harvest and soil water content under various irrigation treatments. The biomass and yield decreased for all GCMs in both future series 2030s and 2050s. Biomass reduction varied between 5.60 and 9.95%, while the reduction of the simulated yield varied between 3.53 and 7.96% for 2030. The lowest values of biomass and yield were achieved by HadGEM2-ES under RCP 8.5 with 27.213 and 20.409 Mg∙ha–1, respectively corresponding to –9.95 and –7.96% reduction. The lowest reductions were 5.60 and 3.53% for biomass and yield, respectively, obtained with MIROC5 under RCP 8.5 for 2030. Reductions in biomass and yield in 2050 were higher than in 2030. The results are showing that higher temperatures shortened the growing period based on calculated growing degree days (GDD). Therefore, it is very important to study changing sowing dates to alleviate the impact of climate change by using field trials, simulation and deep learning models.
Go to article

Authors and Affiliations

Osama Dewedar
1 2
ORCID: ORCID
Finn Plauborg
2
ORCID: ORCID
Ahmed El-Shafie
1
ORCID: ORCID
Abdelbaset Marwa
1
ORCID: ORCID

  1. Water Relations and Field Irrigation Department, Agricultural and Biological Research Division, National Research Centre, 33 El Buhouth St. Dokki, P.O. Box 12622, Cairo, Egypt
  2. Aarhus University, Department of Agroecology, Tjele, Denmark
Download PDF Download RIS Download Bibtex

Abstract

Rainfall in the Lake Tana basin is highly seasonal and the base flow contribution is also low resulting in the need for reservoirs to meet the agricultural demand during the dry season. Water demand competition is increasing because of in-tense agricultural production. The objective of this study is to develop water balance models. The Mike Basin model has been selected for water allocation modelling and identifying potential changes needed to the existing water allocation scheme to reduce the stress due to increased water demand. The study considers baseline and future development scenarios. The construction of new dams results in two competing effects with respect to evaporation loss. The first effect is increased evaporation from new reservoirs, while the other is reduced evaporation from the Lake Tana as a result of a decreased sur-face area of the lake and reduced inflow of water to the lake. Once a dam is built, there will be an additional free water sur-face area and more evaporation loss. In dry months from January to May, the irrigation water demand deficit is up to 16 Mm3. It is caused by reservoirs built in the basin, which reduce the inflow to the Lake Tana. The inflow varies between wet and dry months, and there is more water flow in wet months (July, August and September) and reduced flow in dry months because of the regulatory effects produced by the reservoirs.
Go to article

Bibliography

ADSWE, LUPESP 2015. Hydrology and water resource assessment in Tana sub basin [online]. Vol. 3. Bahir Dar, Ethiopia. Amhara National Regional State, BoEFPLAU. [Access 23.11.2015]. Available at: https://mahiderzewdie.files.wordpress.com/2015/08/livestock-final-draft.pdf
ASCE 1993. Criteria for evaluation of watershed models. American Society of Civil Engineering. Journal of Irrigation and Drainage Engineering. Vol. 119(3) p. 429–442. DOI 10.1061/(ASCE)0733-9437(1993)119:3(429).
EL-RAEY M., EL-QUOSY D.H., EL-SHAER M., EL-KHOLY O.A., SOLIMAN A. 1995. Egypt: Inventory and mitigation options, and vulnerability and adaptation assessment. CSP Interim Report – Egypt, U.S. Country Studies Program.
HASHIMOTO T., STENDINGER J.R., LOUCKS D.P. 1982. Reliability, resiliency, and vulnerability criteria for water resources system performance evaluation. Water Resources Research. Vol. 18. No. 1 p. 14–20.
JHA M.K., GUPTA A.D. 2003. Application of Mike Basin for water management strategies in a watershed. Water International. Vol. 28. No. 1 p. 27–35. DOI 10.1080/02508060308691662.
KEBEDE S., TRAVI Y., ALEMAYEHU T., MARC V. 2006. Water balance of Lake Tana and its sensitivity to fluctuations in rainfall, Blue Nile basin, Ethiopia. Journal of Hydrology. Vol. 316 p. 233–247.
LEGATES D.R., MCCABE G.J. Jr. 1999. Evaluating the use of “goodness-of-fit” measures in hydrologic and hydroclimatic model validation. Water Resources Resources. Vol. 35(1) p. 233–241. DOI 10.1029/1998WR900018.
MACDONALD M. 2004. Koga irrigation project interim report. Addis Ababa, Ethiopia. Ministry of Water Resource.
MORIASI D.N., ARNOD J.G., VAN LIEW M.W., BINGNER R.L., HARME R.D., VEITH T.L. 2007. Model evaluation guidelines for systematic quantification of accuracy in watershed simulations. Transactions of the ASABE. Vol. 50(3) p. 885−900.
MoWR 2009. Growth corridor for Tana and Beles Sub-Basin: Endowment, potential and constraints. Vol. I. Main Text. Addis Ababa. Ministry of Water Resource.
NASH J.E., SUTCLIFFE J.V. 1970. River flow forecasting through conceptual models. Part 1. A discussion of principles. Journal of Hydrology. Vol. 10(3) p. 282–290.
PASTOR A.V., LUDWIG F., BIEMANS H., HOFF H, KABAT P. 2014. Accounting for environmental flow requirements in global water assessments. Hydrology and Earth System Sciences. Vol. 18 p. 5041–5059. DOI 10.5194/hess-18-5041-2014.
SETEGN S.G., SRINVASAN R., DARGAHI B. 2008. Hydrological modelling in the Lake Tana Basin, Ethiopia using SWAT model. The Open Hydrology Journal. Vol. 2 p. 49–62.
SMEC 2008. Hydrological study of the Tana-Beles Sub-Basin main Report. Addis Ababa, Ethiopia. Ministry of Water Resources. Melbourne, Australia. SMEC (Snowy Mountains Engineering Corporation) pp. 110.
Studio Pietrangli 1990. Tana Beles project. Part 2. Chara Chara Weir General Report. Addis Ababa, Ethiopia.
WALE A. 2008. Hydrological Balance of Lake Tana, Upper Blue Nile basin, Ethiopia [online]. MSc thesis. Enschede. ITC, Netherlands. [Access 23.11.2015]. Available at: https://webapps.itc.utwente.nl/librarywww/papers_2008/msc/wrem/wale.pdf
WALKER G.R., ZHANG L. 2001. Plot-scale models and their application to recharge studies. In: Studies in catchment hydrology: The basics of recharge and discharge. Eds. L. Zhang, G.R. Walker. Melbourne. CSIRO Publishing. DOI 10.1071/ 9780643105423.
YOHANNES D. 2007. Remote sensing based assessment of water resource potential for Lake Tana [online]. MSc Thesis. Addis Ababa University Civil Engineering. [Access 23.11.2015]. Available at: http://etd.aau.edu.et/handle/123456789/2719

Go to article

Authors and Affiliations

Asegdew G. Mulat
1

  1. Bahir Dar University, Bahir Dar Institute of Technology, Faculty of Civil and Water Resource Engineering, P.O. Box. 26, Bahir Dar, Ethiopia
Download PDF Download RIS Download Bibtex

Abstract

According to the SRES A1B climate change scenario, by the end of the 21st century temperature in Poland will increase by 2–4°C, no increase in precipitation totals is predicted. This will rise crop irrigation needs and necessity to develop irrigation systems. Due to increase in temperature and needs of sustainable agriculture development some changes in crop growing structure will occur. An increase interest in high protein crops cultivation has been noted last years and further extension of these acreage is foreseen. Identifying the future water needs of these plants is crucial for planning and implementing sustainable agricultural production. In the study, the impact of projected air temperature changes on soybean water needs, one of the most valuable high-protein crops, in 2021–2050 in the Kuyavia region in Poland was analysed. The calculations based on meteorological data collected in 1981–2010 were considered as the reference period. Potential evapotranspiration was adopted as a measure of crop water requirements. The potential evapotranspiration was estimated using the Penman–Monteith method and crop coefficient. Based on these estimations, it was found that in the forecast years the soybean water needs will increase by 5% in the growing period (from 21 April to 10 September), and by 8% in June–August. The highest monthly soybean water needs increase (by 15%) may occur in August. The predicted climate changes and the increase in the arable crops water requirements, may contribute to an increase in the irrigated area in the Kuyavia region and necessity of rational management of water resources.
Go to article

Authors and Affiliations

Wiesława Kasperska-Wołowicz
1
ORCID: ORCID
Stanisław Rolbiecki
2
ORCID: ORCID
Hicran A. Sadan
2
ORCID: ORCID
Roman Rolbiecki
2
ORCID: ORCID
Barbara Jagosz
3
ORCID: ORCID
Piotr Stachowski
4
ORCID: ORCID
Daniel Liberacki
4
ORCID: ORCID
Tymoteusz Bolewski
1
ORCID: ORCID
Piotr Prus
5
ORCID: ORCID
Ferenc Pal-Fam
6
ORCID: ORCID

  1. Institute of Technology and Life Sciences – National Research Institute, Hrabska Av. 3, Falenty, 05-090 Raszyn, Poland
  2. Bydgoszcz University of Science and Technology, Faculty of Agriculture and Biotechnology, Department of Agrometeorology, Plant Irrigation and Horticulture, Bydgoszcz, Poland
  3. University of Agriculture in Krakow, Faculty of Biotechnology and Horticulture, Department of Plant Biology and Biotechnology, Krakow, Poland
  4. Poznan University of Life Sciences, Faculty of Environmental Engineering and Mechanical Engineering, Department of Land Improvement, Environmental Development and Spatial Management, Poznań, Poland
  5. Bydgoszcz University of Science and Technology, Faculty of Agriculture and Biotechnology, Laboratory of Economics and Agribusiness Advisory, Bydgoszcz, Poland
  6. Hungarian University of Agriculture and Life Sciences (MATE), Kaposvár, Hungary
Download PDF Download RIS Download Bibtex

Abstract

Today’s fast-changing environment for construction companies requires rapid responses and adaptation of their projects. Despite the multitude of tools applied for project cost management in engineering and construction companies, there is a need to form comprehensive solutions. The purpose of the study is to form a methodological approach to project cost management in the field of engineering construction based on alternative models to diagnose the development, assessment and selection of functional areas and content of cost management in the construction project, which allows one to increase adaptability and flexibility in the process of its implementation. The basis of research methodology is modeling, which allows one to adjust the economic and financial flows based on three S-curves, one for each component of the total cost of the work: direct costs, indirect costs and reserves. These curves include the direct cost curve for the main purchasing packages as well. This brings financial flows closer to reality because it is possible to adjust the S-curves according to the behavior of each subsystem. The contribution of the study is the proposed approach of integrating concepts related to the coordination and development of project design and production management (lean construction), forming a “3D model of management”, in a broad and comprehensive management system. It assumes a comprehensive and complete way to manage civil engineering projects. The proposed methodological approach can make a significant contribution to the preparation of forecasts and estimates by planners and controllers in the context of construction projects.
Go to article

Authors and Affiliations

Yang Yang
1 2
ORCID: ORCID
Wanxin Xiao
2 3
Margarita Lyshenko
2
Yang Zhang
2 4

  1. Department of Construction Engineering, Xinxiang Vocational and Technical College, Xinxiang, China
  2. Faculty of Economics and Management, Sumy National Agrarian University, Sumy, Ukraine
  3. Funding Center, Education Bureau of Hongqi District, Xinxiang City, China
  4. Personnel Department, Henan Expressway Monitoring Toll Communication Network Service Co. Ltd., Zhengzhou, China
Download PDF Download RIS Download Bibtex

Abstract

Recently, the expand of industrial market has led to have long supply chain network. During the long shipment, the probability of having damaged products is likely to occur. The probability of having damaged products is different between stages and that could lead to higher percentage of damaged products when arrived at retailers. Many companies have rejected the entire shipment because the damaged product percentage was higher than that agreed on. Decision-makers have tried to reduce the percentage of damaged products that happened because the transit, loading unloading the shipment, and natural disasters. Companies started to implement recovery centers in the supply chain network in order to return their system steady statues. Recovery models have been developed in this paper to reduce the damaged percentage at minimum costs to do so. Results show that the possibility of implementing an inspection unit and a recovery centers in the system before sending the entire shipment to the retailer based on examining a sample size that has been selected randomly from the shipment and the minimum cost of committing type I and type II errors. Designing a methodology to minimize the total cost associated with the supply chain system when there is a possibility of damage occurring during shipping is the objective of this research.
Go to article

Authors and Affiliations

Mastoor M. Abushaega
1 4
Yahya H. Daehy
2
Saleh Y. Alghamdi
3
Krishna K. Krishnan
2
Abdulrahman Khamaj
1

  1. Industrial Engineering Department, Jazan University, Jazan, KSA
  2. Industrial and Systems Engineering Department, Wichita State University, Wichita, KS, USA
  3. Industrial Engineering Department, King Khalid University, Abha, KSA
  4. Industrial and Systems Engineering Department, University of Oklahoma, Norman, OK, USA

This page uses 'cookies'. Learn more