Search results

Filters

  • Journals
  • Authors
  • Keywords
  • Date
  • Type

Search results

Number of results: 51
items per page: 25 50 75
Sort by:
Download PDF Download RIS Download Bibtex

Abstract

One of the main threats to constructions made from rammed earth is destruction due to exposure to water. The way to limit this dangerous phenomenon is to supplement the local soil mixtures with stabilizing agents. The main component used is Portland cement. This article analyses the results of research which focused on the resistance of rammed earth to water erosion. Because of the lack of national standards regarding the method of examining the durability of rammed earth, the research was based on the New Zealand standard NZS 4298: 1998. The results confirm the possibility of using rammed earth stabilized by cement in a temperate climate.

Go to article

Authors and Affiliations

P.L. Narloch
P. Woyciechowski
E. Dmowska
K. Halemba
Download PDF Download RIS Download Bibtex

Abstract

The Sianjo-anjo reservoir is used to meet the need for downstream clean water. Land activity at the Sianjo- anjo reservoir watershed can potentially increase the rate of erosion and the silting of rivers and reservoirs due to sedimentation. Reservoir siltation is a crucial challenge for reservoir management because it can reduce its function and affect its service life. However, sediment yield is often overlooked in reservoir planning and environmental assessment. This study aims to predict the rate of land erosion and sediment yield, and create an erosion hazard map of the Sianjo-anjo reservoir watershed. The study used a Geographic Information System, GIS-based Universal Soil Loss Equation (USLE) method and discovered that the erosion rate of the Sianjo-anjo reservoir watershed was between 35.23 Mg∙ha –1∙y –1 until 455.08 Mg∙ha –1∙y –1, with 95.85% classified as the low level, 0.03% as moderate, and 4.12% as high. Meanwhile, the sediment yield from the Sianjo-anjo reservoir watershed was 218,812.802 Mg∙y –1. USLE is vital to identify areas susceptible to erosion and crucial for reservoir sustainability. Furthermore, it is necessary to plan good sediment management. Long-term land conservation is required to maintain storage capacity and ensure effective operation of the reservoir.
Go to article

Authors and Affiliations

Felia Gusma
1
Azmeri Azmeri
1
ORCID: ORCID
Faris Z. Jemi
2
ORCID: ORCID
Hafnati Rahmatan
3
ORCID: ORCID

  1. Universitas Syiah Kuala, Engineering Faculty, Civil Engineering Department, Syech Abdur-Rauf No. 7 Darussalam, 23111, Banda Aceh, Indonesia
  2. Universitas Syiah Kuala, Engineering Faculty, Electrical Engineering Department, Banda Aceh, Indonesia
  3. Universitas Syiah Kuala, Faculty of Education and Teacher Training, Biology Department, Banda Aceh, Indonesia
Download PDF Download RIS Download Bibtex

Abstract

Forest stand decomposition of the Silesian Beskids which is followed by the tree cutting has been observed since the beginning of the 21st century. Changes in forest management due to the introduction of heavy machines for forest work mainly for skidding have been observed in the Silesian Beskids for the last decade. The paper presents results of a three-year investigation of erosion gullies forming in mountain forest after the skidding performed with use of heavy equipment. In the Wilczy Potok catchment comprising an area of above 100 ha 40 gullies were identified. The measurement of the length and depth of gullies showed that the total volume of soil and rock material removed from the catchment area due to erosion accelerated by skidding exceeded 9 000 m3. The year erosion rate for deep gullies was found to be 10%. The presented results show that necessary protective actions and preventive measures should be taken to mitigate the soil degradation processes.

Go to article

Authors and Affiliations

Włodzimierz Łukasik
Piotr Kubiesa
Tomasz Staszewski
Download PDF Download RIS Download Bibtex

Abstract

The study on water erosion in the catchment basin of the Jeleni Brook was carried out in the years 1995–1999. The catchment of the Jeleni Brook has complex relief, receives frequent pre-cipitations and thus is more threatened by water erosion. Soil cultivation and water from quickly melting snow can also be the factors affecting soil erosion. Waters from the melting snow produce rills of the following dimensions (mean values): width from 11.5 to 13.6 cm, depth – from 6.4 to 7.1 cm and length – from 39 to 112 m. The mean values of soil losses vary from 0.5 to 2.02 t·ha–1.

Erosion caused by intensive storm precipitation occurs less frequently but makes much higher soil losses. One of the registered incidents shows that 51.6 t·ha–1 (4.5 mm of soil layer) can be washed out from the area of 0.66 ha. Combined effect of outwashing and ploughing in lower parts of slopes created new forms of relief such as agricultural terraces (escarps). Agricultural terraces assume the shape of scarps up to 2 m high and of different length (e.g. 150 m) along with the land use border-lines between e.g. forest and field or field and grassland.

Agriculturally used soils within this catchment need protection based mainly on agrotechnical measures or on alteration of land use. Some areas should be afforested.

Go to article

Authors and Affiliations

Adam Koćmit
Marek Podlasiński
ORCID: ORCID
Małgorzata Roy
Tomasz Tomaszewicz
Justyna Chudecka
Download PDF Download RIS Download Bibtex

Abstract

The construction of the Keuliling Reservoir aims to accommodate and utilise water for agricultural purposes. In this research, soil erosion modelling using the USLE method showed that the level of erosion hazard for each Keuliling Reservoir sub-watershed was classified into low-moderate. Land erosion occurred in the area around the reservoir inundation is the most significant contribution to the magnitude of erosion (38.62 Mg∙ha–1∙y–1. Based on the point of sediment sampling in the Keuliling reservoir, the sediment volume was 1.43 Mg∙m–3. So, the volumetric sediment input from the Keuliling reservoir watershed is 20.918,32 m3∙y–1. The degradation of reservoir function due to sedimentation can affect reservoir services. The ability to estimate the rate of watershed surface erosion and sediment deposition in the reservoir is vital for reservoir sustainability. Besides the land erosion in the Keuliling Reservoir, there are also other potential sources of erosion that can reduce the capacity of the reservoir, i.e. the rate of sedimentation from a reservoir cliff landslide. The USLE estimation results show that the soil erosion analysis provides important and systematic information about nature, intensity and spatial distribution in the watershed and sediment volume in the Keuliling Reservoir. This finding allows the identification of the most vulnerable areas and the type of erosion dominant for long-term land management.
Go to article

Bibliography

ADEDIJI A., TUKUR A.M., ADEPOJU K.A. 2010. Assessment of Revised Universal Soil Loss Equation (RUSLE) in Katsina Area, Katsina State of Nigeria using Remote Sensing (RS) and Geographic Information System (GIS). Iranian Journal of Energy and Environment. Vol. 1(3) p. 255–264.
ALEXAKIS D.D., HADJIMITSIS D.G., AGAPIOU A. 2013. Integrated use of remote sensing, GIS and precipitation data for the assessment of soil erosion rate in the catchment area of “Yialias” in Cyprus. Atmospheric Research. Vol. 131 p. 108–124. DOI 10.1016/j.atmosres.2013.02.013.
ARIF A. 2013. Study of erodibility level of several land types in Baturagung Mountains Putat Village and Nglanggeran District Patuk Gunungkidul Regency. Information. Vol. 39. No. 2 p. 15– 31. DOI 10.21831/informasi.v0i2.4441.
ARMIDO A., AZMERI A., FATIMAH E., NURBAITI N., YOLANDA S.N. 2020. The sedimentation datasets of Keuliling Reservoir. Data in Brief. Vol. 32, 106181. DOI 10.1016/j.dib.2020.106181.
ARNOLDUS H.M.J. 1980. An approximation of the rainfall factor in the Universal Soil Loss Equation. In: Assessment of erosion. Eds. M. De Boodt, D. Gabriels. Chichester, UK. Wiley p. 127–132.
ARSYAD S. 2012. Conservation of Land and Water. Second edition. IPB Press, Bogor. ISBN 979-493-003-2 pp. 96. ASDAK C. 2014. Hydrology and watershed management. 3rd edition. Yogyakarta. Gajah Mada University Press. ISBN 979-420-737-3 pp. 625.
AZMERI A., LEGOWO S., REZKYNA N. 2020. Interphase modeling of soil erosion hazard using a Geographic Information System and the Universal Soil Loss Equation. Journal of Chinese Soil and Water Conservation. Vol. 51(2) p. 65–75. DOI 10.29417/JCSWC.202006_51(2).0003.
AZMERI, HADIHARDAJA I.K., VADYA R. 2016. Identificationof flashfloodhazard zones in the small mountainous watershed of Aceh Besar Regency, Aceh Province, Indonesia. The Egyptian Journal of Remote Sensing and Space Sciences. Vol. 19 p. 143–160. DOI 10.1016/j.ejrs.2015.11.001.
BENZER N. 2010. Using the geographical information system and remote sensing techniques for soil erosion assessment. Polish Journal of Environmental Study. Vol. 19(5) p. 881–886.
BISWAS S. 2012. Estimation of soil erosion using remote sensing and GIS and prioritization of catchments. International Journal of Emerging Technology and Advanced Engineering. Vol. 2(7) p. 124–128.
BWS Sumatera I. 2018. Report of Survey and Sedimentation Study of Keuliling Reservoir. Balai Wilayah Sungai Sumatera I. Banda Aceh pp. 181.
CHATTERJEE S., KRISHNA A.P., SHARMA A.P. 2014. Geospatial assessment of soil erosion vulnerability at watershed level in some sections of the Upper Subarnarekha river basin, Jharkhand, India. Environmental Earth Sciences. Vol. 71(1) p. 357–374.
DABRAL P.P., BAITHURI N., PANDEY A. 2008. Soil erosion assessment in a hilly catchment of North eastern India using USLE, GIS and remote sensing. Water Resources Management. Vol. 22(12) p. 1783–1798. DOI 10.1007/s11269-008-9253-9.
DEMIRCI A., KARABURUN A. 2012. Estimation of soil erosion using RUSLE in a GIS framework: A case study in the Buyukcekmece Lake watershed, Northwest Turkey. Environmental Earth Sciences. Vol. 66 p. 903–913.
DUTA S. 2016. Soil erosion, sediment yield and sedimentation of reservoir: A review. Modeling Earth Systems and Environment. Vol. 2, 123. DOI 10.1007/2Fs40808-016-0182-y.
DOUCET-BEER E. 2011. Modelling alternative agricultural scenarios using RUSLE and GIS to determine erosion risk in the Chippewa River Watershed, Minnesota [online]. PhD Thesis. University of Michigan pp. 87. [Access 10.03.2021]. Avalable at: http://hdl.handle.net/2027.42/88166.https://deepblue.lib.umich.edu/bit-stream/handle/2027.42/88166/EDoucetBeer_MS_Practicum_F-inal.pdf?sequence=1&isAllowed=y
FU B.J., ZHAO W.W., CHEN L.D., ZHANG Q.J., LU Y.H., GULINCK H., POESEN J. 2005. Assessment of soil erosion at large watershed scale using RUSLE and GIS: A case study in the Loess Plateau of China. Land Degradation & Development. Vol. 16, 7385. DOI 10.1002/ldr.646.
HAREGEWEYN N., POESEN J., NYSSEN J., GOVERS G., VERSTRAETEN G., DECKERS J., MOEYERSONS J., HAILE M., DE VENTE J. 2008. Sediment yield variability in Northern Ethiopia: A quantitative analysis of its controlling factors. Catena. Vol. 75 p. 65–76. DOI 10.1016/j.catena.2008.04.011.
HOYOS N. 2005. Spatial modeling of soil erosion potential in a tropical watershed of the Colombian Andes. Catena. Vol. 63 (1) p. 85–108. DOI https://doi.org/10.1016/j.catena.2005.05.012.
IONUŞ O., BOENGIU S., LICURICI M., POPESCU L., SIMULESCU D. 2013. Mapping soil erosion susceptibility using GIS techniques within the Danube Floodplain, the Calafat – Turnu Măgurele Sector (Romania). Journal of the Geographical Institute “Jovan Cvijic”, SASA 2013. Vol. 63. Iss. 3. Conference Issue: International Conference Natural Hazards – Link between Science and Practice p. 73–82. DOI 10.2298/IJGI1303073I.
ISSA L.K., LECH-HAB K.B.H., RAISSOUNI A., EL ARRIM A. 2016. Cartographie quantitative du risque d’erosion des sols par approche SIG/USLE au niveau dubassin versant Kalaya (Maroc Nord Occidental) [Quantitative mapping of soil erosion risk using GIS/USLE approach at the Kalaya Watershed (North Western Morocco)]. Journal of Materials and Environmental Science. Vol. 7(8) p. 2778–2795.
JIANG B. 2013. GIS-based time series study of soil erosion risk using the Revised Universal Soil Loss Equation (RUSLE) model in a microcatchment on Mount Elgon, Uganda. MSc Thesis. Department of Earth and Ecosystem Sciences Physical Geography and Ecosystems Analysis Lund University, Sweden pp. 51.
KALSUM U., YUNUS Y., FERIJAL T. 2017. Meureudu Watershed Conservation Directive using Geographic Information Systems. Vol. 2. No. 2. p. 423–429.
KAMUJU N. 2016. Soil erosion and sediment yield analysis using prototype & enhanced SATEEC GIS system models. International Journal of Advanced Remote Sensing and GIS. Vol. 5(1) p. 1471– 1482. DOI 10.23953/cloud.ijarsg.39
KIRONOTO B.A. 2003. Sediment Transpor. Civil Engineering Graduate Program UGM, Yogyakarta pp. 100.
KOTHYARI U.C., JAIN S.K. 1997. Sediment yield estimation using GIS. Hydrology Science Journal. Vol. 42 p. 833–843. DOI 10.1080/0262666970949208.
KOURGIALAS N.N., KOUBOURIS G.C., KARATZAS G.P., METZIDAKIS I. 2016. Assessing water erosion in Mediterranean tree crops using GIS techniques and field measurements: The effect of climate change. Natural Hazards. Vol. 83(1) p. 65–81. DOI 10.1007/s11069-016-2354-5.
KURNIA U., SUWARDJO H. 1984. Erosion sensitivity of several soil types in Java according to the USLE Method. Pemberitaan Penelitian Tanah dan Pupuk. No. 3 p. 17–20.
LAL R. 2001. Soil degradation by erosion. Land Degradation and Development. Vol. 12(6) p. 519–539. DOI 10.1002/ldr.472.
LEGOWO S., HADIHARDAJA I.K., AZMERI 2009. Estimation of bank erosion due to reservoir operation in cascade (Case study: Citarum cascade reservoir). ITB ITB Journal of Engineering Science. Vol. 41(2) p. 148–166. DOI 10.5614/itbj.eng.sci.2009.41.2.5
LIM J.K., SAGONG M., ENGEL B.A., TANG Z., CHOI J., KIM K. 2005. GIS based sediment assessment tool. Catena. Vol 64 p. 61–80. DOI 10.1016/J.CATENA.2005.06.013.
MERRITT W.S., LETCHER R.A., JAKEMAN A.J. 2003. A review of erosion and sediment transport models. Environmental Modelling and Software. Vol. 18 p. 761–799. DOI 10.1016/S1364-8152(03)00078-1.
MEUSBURGER K., BÄNNINGER D., ALEWELL C. 2010. Estimating vegeta-tion parameter for soil erosion assessment in an alpine catchment by means of QuickBird imagery. International Journal of Applied Earth Observation and Geoinformation. Vol. 12 p. 201–207. DOI 10.1016/j.jag.2010.02.009.
NAMR K.I., MRABET R. 2004. Influence of agricultural management on chemical quality of a clay soil of semi-arid Morocco. Journal of African Earth Sciences. Vol. 39 p. 485–489. DOI 10.1016/j.jafrearsci.2004.07.016.
PANDEY A., CHOWDARY V.M., MAL B.C. 2007. Identification of critical erosion prone areas in the small agricultural watershed using USLE, GIS and remote sensing. Water Resources Management. Vol. 21(4) p. 729–746. DOI 10.1007/s11269-006-9061-z.
PARK S., OH C., JEON S., JUNG H., CHOI C. 2011. Soil erosion risk in Korean watershed, assessed using Revised Universal Soil Loss Equation. Journal Hydrology. Vol. 399(3–4) p. 263–273. DOI 10.1016/j.jhydrol.2011.01.004.
PEROVIĆ V., ŽIVOTIĆ L., KADOVIĆ R., ĐORĐEVIĆ A., JARAMAZ D., MRVIĆ V., TODOROVIĆ M. 2013. Spatial modelling of soil erosion potential in a mountainous watershed of South-eastern Serbia. Environmental Earth Sciences. Vol. 68 p. 115–128. DOI 10.1007/s12665-012-1720-1.
PRASANNAKUMAR V., VIJITH H., ABINOD S., GEETHA N. 2012. Estimation of soil erosion risk within a small mountainous sub-watershed in Kerala, India, using Revised Universal Soil Loss Equation (RUSLE) and geo-information technology. Geoscience Frontiers. Vol. 3(2) p. 209–215. DOI 10.1016/j.gsf.2011.11.003.
RAHMAN M.R., SHI Z.H., CHONGFA C. 2009. Soil erosion hazard evaluation – An integrated use of remote sensing, GIS and statistical approaches with biophysical parameters towards management strategies. Ecological Modelling. Vol. 220. Iss. 13–14 p. 1724–1734. DOI 10.1016/j.ecolmodel.2009.04.004.
SAHU A., BAGHEL T., SINHA M.K., AHMAD I., VERMA M.K. 2017. Soil erosion modeling using Rusle and GIS on Dudhawa catchment. International Journal of Applied Environmental Sciences. Vol. 12. No. 6 p. 1147–1158.
SHEIKH A.H., PALRIA S., ALAM A. 2011. Integration of GIS and Universal Soil Loss Equation (USLE) for soil loss estimation in a Himalayan watershed. Recent Research in Science and Technology. Vol. 3(3) p. 51–57.
Peraturan Direktur Jenderal Bina Pengelolaan Daerah Aliran Sungai dan Perhutanan Sosial nomor: P. 3/V-SET/2013 tentang pedoman identifikasi karakteristik daerah aliran sungai [The Regulation of the Director-General of Watershed Management and Social Forestry of the Republic of Indonesia number P. 3/V-SET/2013 regarding guidelines for identifying watershed characteristics] [online]. [Access 15.02.2020]. Available at: https://www.course-hero.com/file/44617251/P3-V-SET-2013-PEDOMAN-IDENTI-FIKASI-KARAKTERISTIK-DAERAH-ALIRAN-SUNGAIpdf/
Peraturan Menteri Kehutanan Republik Indonesia nomor: P. 61 /Menhut-II/2014 tentang monitoring dan evaluasi pengelolaan daerah aliran sungai [Regulation of the Minister of Forestry of the Republic of Indonesia number: P. 61 /Menhut-II/2014 regarding monitoring and evaluation of watershed management] [online]. [Access 15.02.2020]. Available at: http://satudata.semarangkota.go.id/adm/file/20171004150653PERMENKEMENHUTNo-morP.61-MENHUT-II-2014Tahun2014kemenhutnop.61-menhut-II-2014.pdf
Qanun Kabupetan Aceh Besar nomor 4 tahun 2013 tentang rencana tata ruang Willayah Kabupaten Aceh Besar tahun 2012–2032 [The Regulation of the spatial plan for the Aceh Besar Regency, 2012– 2032] [online]. [Access 15.02.2020]. Available at: http://bappeda.acehbesarkab.go.id/?p=820
TATIPATA W.H., SOEKARNO I., SABAR A., DAN LEGOWO S. 2015. Analysis of settle sediment volumes after t-year reservoirs in operation (Case study: Cirata Reservoir). Journal of Civil Engineering Theoretical and Applied Journal of Civil Engineering. Vol. 22(3) p. 235–242. DOI 10.5614/jts.2015.22.3.7.
UDDIN K., MURTHY M.S.R., SHAHRIAR M., WAHID MIR A., MATIN 2016. Estimation of Soil Erosion Dynamics in the Koshi Basin Using GIS and Remote Sensing to Assess Priority Areas for Conserva-tion. PLOS ONE. Vol. 1(3), e0150494. DOI 10.1371/journal.pone.0150494.
VERSTRAETEN G., POESEN J. 2001. Variability of dry sediment bulk density between and within retention ponds and its impact on the calculation of sediment yield. Earth Surface Processes and Landforms. Vol. 26 p. 375–394. DOI 10.1002/esp.186.
VIJITH H., MADHU G. 2008. Estimating potential landslide sites of an upland sub-watershed in Western Ghat’s of Kerala (India) through frequency ratio and GIS. Environmental Geology. Vol. 55(7) p. 1397–1405. DOI 10.1007/s00254-007-1090-2.
WISCHMEIER W.H., SMITH D.D. 1978. Predicting rainfall erosion losses – A guide to conservation planning. Agriculture Handbook. No. 537. Washington, DC, USA. US Department of Agriculture Science and Education Administration pp. 168.
XU Y., SHAO X., KONG X., PENG J., CAI Y. 2008. Adapting the RUSLE and GIS to model soil erosion risk in a mountains karst watershed, Guizhou Province, China. Environmental Monitoring and Assessment. Vol. 141 p. 275–286. DOI 10.1007/s10661-007-9894-9.
ZARFL C., LUCIA A. 2018. The connectivity between soil erosion and sediment entrapment in reservoirs. Current Opinion in Environ-mental Science & Health. Vol. 5 p. 53–59. DOI https://dx.doi.org/10.1016/j.coesh.2018.05.001.
ZHANG K., SHU A., XU X., YANG Q., YU B. 2008. Soil erodibility and its estimation for agricultural soils in China. Journal of Arid Environments. Vol. 72 p. 1002–1011. DOI 10.1016/j.jaridenv.2007.11.018.
Go to article

Authors and Affiliations

Azmeri Azmeri
1
ORCID: ORCID
Nurbaiti Nurbaiti
2
Nurul Mawaddah
1
Halida Yunita
1
ORCID: ORCID
Faris Zahran Jemi
3
ORCID: ORCID
Devi Sundary
1
ORCID: ORCID

  1. Universitas Syiah Kuala, Engineering Faculty, Civil Engineering Department, Syech Abdur-Rauf No. 7 Darussalam, 23111, Banda Aceh, Indonesia
  2. Ministry of Public Works and Housing (PUPR) BWS Sumatera-I, Indonesia
  3. Universitas Syiah Kuala, Engineering Faculty, Electrical Engineering Department, Banda Aceh, Indonesia
Download PDF Download RIS Download Bibtex

Abstract

The paper presents the results of the pitting resistance investigations of selected stainless steels in the chloride environment and the simultaneous impact of erosive factors using the cyclic polarization technique. Additionally, using electrochemical techniques, ie: electrochemical impedance spectroscopy (EIS) and measurement of corrosion potential, the behavior of the passive layer of selected stainless steels in the environment of chlorides and erosion was examined. On the basis of the obtained results, the resistance of stainless steels 1.4301 and 1.4404 was found, both on the effect of chloride ions and erosive factors in the studied systems. Both tested steels are susceptible to pitting corrosion. It was found that a good measure of erosive impact on stainless steel is both impedance spectrum analysis and continuous monitoring of the corrosion potential of steel.

Go to article

Authors and Affiliations

S. Krakowiak
S. Kierepa
Download PDF Download RIS Download Bibtex

Abstract

The fundamental problem from the point of view of pipeline exploitation in KGHM Polska Miedz S.A. is the very high overwearing of the pipes used for the transport of tailings, as well as determining the time of trouble-free operation of pipe system components. Failures involve significant financial outlays, severe restrictions on operation and in some cases even stopping operation. For this reason, it is vital to monitor the condition of the transport systems, as well as to determine the permissible service life of the pipe sections, after which segments at risk should be replaced or turned over in order to extend their further operation. This paper focuses on the application of interval numbers to assess the durability of piping systems. The calculations were made using classical interval numbers by using code written in INTLAB libraries. The correctness of the solutions obtained was verified using the Monte Carlo method, assuming a uniform distribution of random variables.
Go to article

Authors and Affiliations

Iwona Duszyńska
1
ORCID: ORCID
Tomasz Krykowski
2
ORCID: ORCID
Paweł Stefanek
1
ORCID: ORCID
Joanna Bzówka
3
ORCID: ORCID

  1. KGHM Polska Miedz S.A., Oddział Zakład Hydrotechniczny, Lubin, Poland
  2. Silesian University of Technology, Faculty of Civil Engineering, Department of Mechanics and Bridges, Gliwice, Poland
  3. Silesian University of Technology, Faculty of Civil Engineering, Department of Geotechnics and Roads, Gliwice, Poland
Download PDF Download RIS Download Bibtex

Abstract

A sediment trap with bamboo materials can be utilized as one alternative of eco-friendly technology to reduce the ero-sion that occurred on agricultural land. This study aims to determine the most efficient form of that sediment trap in the field. Location study is in the Tulungrejo Village, Batu, Indonesia, which has andosol soil type and 35 cases of a landslide in 2013. Three forms of sediment traps were used (square, trapezoidal, and stratified type) with the purpose to find the most effective form. It is obtained that the most effective sediment trap is a stratified form with the 31.91% effectiveness or able to withstand sediment of 25.02 kg, while the adequate number is two pieces with the ability to withstand the most consider-able sediment of (91.70%). Therefore this stratified form of sediment traps is effective in erosion prevention on agriculturalland in the study area. For further development, it is required to test out the variations of the contents in a broader area with a more varied level of the slope.

Go to article

Authors and Affiliations

Riyanto Haribowo
Ussy Andawayanti
Rahmah Dara Lufira
Download PDF Download RIS Download Bibtex

Abstract

The disposal of ash in a thermal plant through the slurry pipe is subjected to some erosion wear due to the abrasive characteristics of the slurry. A simulation study of particle-liquid erosion of mild steel pipe wall based on CFD-FLUENT that considers the solid-liquid, solid-solid and solid-wall interaction is presented in this work.The multi-phase Euler-Lagrange model with standard k- ϵ turbulence modeling is adopted to predict the particulate erosion wear caused by the flow of bottom ash water suspension. Erosion rate for different particle size and concentration is evaluated at variable flow rate. It is observed that the pressure drop and erosion rate share direct relationships with flow velocity, particle size and concentration. The flow velocity is found to be the most influencing parameter. A model capable of predicting the erosion wear at variable operating conditions is presented.The simulation findings show good agreement with the published findings.
Go to article

Authors and Affiliations

Vikas Kannojiya
M.B. Darshan
Yogender Pal Chandra
Download PDF Download RIS Download Bibtex

Abstract

Soil erosion is an important factor that should be considered when planning renewable natural resource projects, effects of which can be measured by modelling techniques. Therefore, disintegration models determine soil loss intensity and support soil conservation practices. This study estimates soil loss rates by water erosion using the Erosion Potential Method (EPM) in the Kebir Rhumel Watershed located in Northeast Algeria. The area is north to south sub-humid to semi-arid, receives irregular rainfall, and has steep slopes and low vegetation cover which makes it very vulnerable to erosion. The main factors in the EPM (soil erodibility, soil protection, slope, temperature, and rainfall) were evaluated using the Geographical Information System (GIS) and data provided by remote sensing technologies. The erosion intensity coefficient Z was 0.60, which indicates medium erosion intensity. While the results showed the average annual soil erosion of 17.92 Mg∙ha–1∙y–1, maximum and minimum losses are 190.50 Mg∙ha–1∙y–1 and 0.21 Mg∙ha–1∙y–1, respectively. The EPM model shows satisfactory results compared to some studies done in the basin, where the obtained results can be used for more appropriate management of land and water resources, sustainable planning, and environmental protection.
Go to article

Bibliography

ABDULWAHAB F., JASIM S. 2019. Building a model for the risk of water erosion in Kifri Basin by the use of fuzzy logic. Journal of Tikrit University for Humanities. Vol. 26. No. 9 p. 281–257. DOI 10.25130/hum.v26i9.819.
ABU HAMMAD A. 2011. Watershed erosion risk assessment and management utilizing revised universal soil loss equation- geographic information systems in the Mediterranean environments. Water and Environment Journal. Vol. 25 p. 149–162. DOI 10.1111/j.1747-6593.2009.00202.x.
AHMED A., ADIL D., HASNA B., ELBACHIR A., LAZAAR R. 2019. Using EPM Model and GIS for estimation of soil erosion in Souss Basin, Morocco. Turkish Journal of Agriculture – Food Science and Technology. Vol. 7 p. 1228–1232. DOI 10.24925/turjaf.v7i8.1228-1232.2562. BEHERA M., SENA D.R., MANDAL U., KASHYAP P.S., DASH S.S. 2020. Integrated GIS-based RUSLE approach for quantification of potential soil erosion under future climate change scenarios. Environmental Monitoring and Assessment. Vol. 192, 733 p. 1–18. DOI 10.1007/s10661-020-08688-2.
BOUGUERRA H., BOUANANI A., KHANCHOUL K., DERDOUS O., TACHI S.E. 2017. Mapping erosion prone areas in the Bouhamdane watershed (Algeria) using the revised universal soil loss equation through GIS. Journal of Water and Land Development. No. 32 p. 13–23. DOI 10.1515/jwld-2017-0002.
BOUHADEB C.E., MENANI M.R., BOUGUERRA H., DERDOUS O. 2018. Assessing soil loss using GIS based RUSLE methodology. Case of the Bou Namoussa watershed – North-East of Algeria. Journal of Water and Land Development. No. 36 p. 27–35. DOI 10.2478/ jwld-2018-0003.
BOU-IMAJJANE L., BELFOUL M.A., ELKADIRI R., STOKES M. 2020. Soil erosion assessment in a semi-arid environment: A case study from the Argana Corridor, Morocco. Environmental Earth Sciences. Vol. 79 p. 1–14. DOI 10.1007/s12665-020-09127-8.
CERDÀ A., DOERR S.H. 2008. The effect of ash and needle cover on surface runoff and erosion in the immediate post-fire period. Catena. Vol. 74 p. 256–263. DOI 10.1016/j.catena.2008.03.010.
CHAAOUAN J., FALEH A., SADIKI A., MESRAR H. 2013. Télédétection, sig et modélisation de l’érosion hydrique dans le bassin versant de l’oued Amzaz, Rif Central [Remote sensing, sig and modeling of water erosion in the watershed of Wadi Amzaz, Central Rif]. Revue française de photogrammétrie et de télédétection. No. 203 p. 19–25. DOI 10.52638/rfpt.2013.26.
DRAGIČEVIĆ N., KARLEUŠA B., OŽANIĆ N. 2017. Erosion potential method (Gavrilović method) sensitivity analysis. Soil and Water Research. Vol. 12 p. 51–59. DOI 10.17221/27/2016-SWR.
EFTHIMIOU N., LYKOUDI E., KARAVITIS C. 2017. Comparative analysis of sediment yield estimations using different empirical soil erosion models. Hydrological Sciences Journal. Vol. 62 p. 2674–2694. DOI 10.1080/02626667.2017.1404068.
EFTHIMIOU N., LYKOUDI E., PANAGOULIA D., KARAVITIS C. 2016. Assessment of soil susceptibility to erosion using the EPM and RUSLE models: The case of Venetikos River Catchment. Global NEST Journal. Vol. 18 p. 164–179. DOI 10.30955/gnj.001847.
FERNANDEZ C., WU J.Q., MCCOOL D.K., STÖCKLE C.O. 2003. Estimating water erosion and sediment yield with GIS, RUSLE, and SEDD. Journal of Soil and Water Conservation. Vol. 58 p. 128–136.
GAVRILOVIC Z. 1988. Use of an empirical method (erosion potential method) for calculating sediment production and transportation in unstudied or torrential streams. In: International Conference on River Regime. 18–20.05.1988 Wallingford, England. Oxon UK. Hydraulics Research Limited, Wallingford p. 411–422.
GITAS I.Z., DOUROS K., MINAKOU C., SILLEOS G.N., KARYDAS C.G. 2009. Multi-temporal soil erosion risk assessment in N. Chalkidiki using a modified USLE raster model. EARSeL eProceedings. Vol. 8 p. 40–52.
GLOBEVNIK L., HOLJEVIC D., PETKOVSEK G., RUBINIC J. 2003. Applicability of the Gavrilovic method in erosion calculation using spatial data manipulation techniques. Proceedings of symposium HS01 held during IUGG2003 at Sapporo, July 2003 International Association of Hydrological Sciences Publications. No. 279 p. 224–233.
HAAN C.T., BARFIELD, B.J., HAYES J.C. 1994. Design hydrology and sedimentology for small catchments. Elsevier. ISBN 978-0-12- 312340-4 pp. 588.
IGHODARO I.D., LATEGAN F.S., YUSUF S.F. 2013. The impact of soil erosion on agricultural potential and performance of Sheshegu community farmers in the Eastern Cape of South Africa. Journal of Agricultural Science. Vol. 5. No. 5 p. 140–147. DOI 10.5539/jas.v5n5p140. KOSTADINOV S., DRAGOVIĆ N., ZLATIĆ M., TODOSIJEVIĆ M. 2008. Erosion control works and the intensity of soil erosion in the upper part of the river Toplica drainage basin. In: IOP Conference Series: Earth and Environmental Science. IOP Publishing. Vol. 4. No. 1, 012040.

KUNTA K. 2009. Effects of geographic information quality on soil erosion prediction. ETH Zurich. ISBN 978-3-906467-84-9 pp. 153.
LENSE G.H.E., MOREIRA R.S., PARREIRAS T.C., SANTANA D.B., BOLELLI T. DE M., MINCATO R.L. 2020. Water erosion modeling by the Erosion Potential Method and the Revised Universal Soil Loss Equation: A comparative analysis. Revista Ambiente & Água. Vol. 15(4). DOI 10.4136/ambi-agua.2501.
MAROUF N., REMINI B. 2011. Temporal variability in sediment concentration and hysteresis in the Wadi Kebir Rhumel Basin of Algeria. HKIE Transactions. Vol. 18 p. 13–21. DOI 10.1080/1023697X.2011.10668219.
MAZOUR M., ROOSE E. 2002. Influence de la couverture végétale sur le ruissellement et l’érosion des sols sur parcelles d’érosion dans les bassins versants du Nord-ouest de l’Algérie. En: Techniques traditionnelles de GCES en milieu méditerranéen [Influence of plant cover on runoff and soil erosion on erosion plots in the watersheds of northwestern Algeria. In: Traditional GCES techniques in the Mediterranean environment]. Eds. E. Roose, M. Sabir, G. De Noni. Bulletin – Réseau Erosion. No. 21 p. 320– 330.
MEDDI M., TOUMI S. 2015. Spatial variability and cartography of maximum annual daily rainfall under different return periods in Northern Algeria. Journal of Mountain Science. Vol. 12 p. 1403– 1421. DOI 10.1007/s11629-014-3084-3.
MEGHRAOUI M., HABI M., MORSLI B., REGAGBA M., SELADJI A. 2017. Mapping of soil erodibility and assessment of soil losses using the RUSLE model in the Sebaa Chioukh Mountains (northwest of Algeria). Journal of Water and Land Development. No. 34 p. 205–213. DOI 10.1515/jwld-2017-0055.
MOSTEPHAOUI T., MERDAS S., SAKAA B., HANAFI M.T., BENAZZOUZ M.T. 2013. Cartographie des risques d’érosion hydrique par l’applica-tion de l’équation universelle de pertes en sol à l’aide d’un système d’information géographique dans le bassin versant d’El hamel (Boussaâda) Algérie [Mapping of water erosion risks by applying the universal soil loss equation using a Geographical Information System in El Hamel (Boussaâda) watershed]. A Journal algérien des régions arides. No. Special p. 131–147.
NEARING M.A., JETTEN V., BAFFAUT C., CERDAN O., COUTURIER A., HERNANDEZ M., LE BISSONNAIS Y., NICHOLS M.H., NUNES J.P., RENSCHLER C.S. 2005. Modeling response of soil erosion and runoff to changes in precipitation and cover. Catena. Vol. 61 p. 131–154. DOI 10.1016/j.catena.2005.03.007.
NEHAÏ S.A., GUETTOUCHE M.S. 2020. Soil loss estimation using the revised universal soil loss equation and a GIS-based model: A case study of Jijel Wilaya, Algeria. Arabian Journal of Geosciences. Vol. 13, 152. DOI 10.1007/s12517-020-5160-z.
NUNES A.N., DE ALMEIDA A.C., COELHO C.O. 2011. Impacts of land use and cover type on runoff and soil erosion in a marginal area of Portugal. Applied Geography. Vol. 31. No. 2 p. 687–699. DOI 10.1016/j.apgeog.2010.12.006.
PANAGOS P., STANDARDI G., BORRELLI P., LUGATO E., MONTANARELLA L., BOSELLO F. 2018. Cost of agricultural productivity loss due to soil erosion in the European Union: From direct cost evaluation approaches to the use of macroeconomic models. Land Degradation & Development. Vol. 29 p. 471–484. DOI 10.1002/ldr.2879.
ROOSE E. 1994. Introduction à la gestion conservatoire de l’eau, de la biomasse et de la fertilité des sols (GCES) [Introduction to the conservation management of water, biomass and soil fertility (GCES)]. Bulletin pédologique de la FAO. No. 70. ISBN 92-5- 203451-X pp. 420.
ROUSEL J.W., HAAS R.H., SCHELL J.A., DEERING D.W. 1973. Monitoring vegetation systems in the great plains with ERTS. In: Proceedings of the Third Earth Resources Technology Satellite – 1 Symposium; NASA SP-351 p. 309–317.
SAHLI Y., MOKHTARI E., MERZOUK B., LAIGNEL B., VIAL C., MADANI K. 2019. Mapping surface water erosion potential in the Soummam watershed in Northeast Algeria with RUSLE model. Journal of Mountain Science. Vol. 16 p. 1606–1615. DOI 10.1007/s11629-018-5325-3.
SAKUNO N.R.R., GUIÇARDI A.C.F., SPALEVIC V., AVANZI J.C., SILVA M.L.N., MINCATO R.L. 2020. Adaptation and application of the erosion potential method for tropical soils. Revista Ciência Agronômica. Vol. 51 p. 1–10.
SEKERTEKIN A., BONAFONI S. 2020. Land surface temperature retrieval from Landsat 5, 7, and 8 over rural areas: assessment of different retrieval algorithms and emissivity models and toolbox imple-mentation. Remote Sensing. Vol. 12 p. 294. DOI 10.3390/rs12020294.
SHARDA V.N., MANDAI D., OJASVI P.R. 2013. Identification of soil erosion risk areas for conservation planning in different states of India. Journal of Environmental Biology. Vol. 34 p. 219–226.
SHARPLEY A.N., WILLIAMS J.R. (eds.) 1990. EPIC-Erosion/Productivity Impact Calculator. I: Model documentation. II: User manual. USDA. Technical Bulletin. No. 1768 pp. 127.
SOLAIMANI K., MODALLALDOUST S., LOTFI S. 2009. Investigation of land use changes on soil erosion process using geographical information system. International Journal of Environmental Science & Technology. Vol. 6 p. 415–424. DOI 10.1007/BF03326080.
TAMRABET Z., MAROUF N., REMINI B. 2019. Quantification of suspended solid transport in Endja watercourse [Dehamecha basin-Algeria]. GeoScience Engineering. No. 4 p. 71–91. DOI 10.35180/gse-2019-0025.
TANG Q., XU Y., BENNETT S.J., LI Y. 2015. Assessment of soil erosion using RUSLE and GIS: A case study of the Yangou watershed in the Loess Plateau, China. Environmental Earth Sciences. Vol. 73 p. 1715–1724. DOI 10.1007/s12665-014-3523-z.
TOUMI A., REMINI B. 2018. Perte de la capacité de stockage d’eau au barrage de Beni Haroun, Algérie [Loss of water storage capacity at the Beni Haroun dam, Algeria]. Systèmes Agraires et Environnement. Vol. 2 p. 80–97.
ZAHNOUN A.A., MAKHCHANE M., CHAKIR M., AL KARKOURI J., WATFAE A. 2019. Estimation and cartography the water erosion by integra-tion of the Gavrilovic “EPM” model using a GIS in the Mediterranean watershed: Lower Oued Kert watershed (Eastern Rif, Morocco). International Journal of Advance Research, Ideas and Innovations in Technology. Vol. 5 p. 367–374.
ZAKERINEJAD R., MAERKER M. 2015. An integrated assessment of soil erosion dynamics with special emphasis on gully erosion in the Mazayjan basin, southwestern Iran. Natural Hazards. Vol. 79 p. 25–50. DOI 10.1007/s11069-015-1700-3.
ZANTER K. 2019. Landsat 8 (L8) data users handbook. Version 5.0. Sioux Falls, SD. EROS pp. 106.
ZEMLJIC M. 1971. Calcul du debit solide – Evaluation de la vegetation comme un des facteurs antierosif [Calculation of the solid flow – Evaluation of the vegetation as one of the anti-erosive factors]. In: International Symposium Interpraevent. Villaco. Vol. 2 p. 379– 391.
ZORN M., KOMAC B. 2008. The response of soil erosion to land-use change with particular reference to the last 200 year (Julian Alps, Western Slovenia). [24th Conference of the Danubian Countries on the Hydrological Forecasting and Hydrological Bases of Water Management]. [02–06.2008 Bled, Slovenia].

Go to article

Authors and Affiliations

Amer Zeghmar
1
ORCID: ORCID
Nadir Marouf
1
ORCID: ORCID
Elhadj Mokhtari
2
ORCID: ORCID

  1. University of Larbi-Ben-M’hidi, Faculty of Sciences and Applied Sciences, Department of Hydraulic, Laboratory of Functional Ecology and Environment, Laboratory of Natural Resources and Management of Sensitive Environments, PO Box 358, 04000 Oum El Bouaghi, Algeria
  2. University Mohamed Boudiaf M’sila, Faculty of Technology, Department of Hydraulic, Algeria
Download PDF Download RIS Download Bibtex

Abstract

On the Polish-Czech Odra river section between Chalupki (Poland) and the Olza river mouth there are unique in European scale meanders (km 21.3 - 26.8). In the 20th century the break-up of two meanders caused by floods in 1967 and 1997 occurred. The total length ofmeandering section has become shorter and the hydraulic gradient increased. The sediments eroded and transported by the stream have settled in different zones of the meandering section. In 1997 the inlet to the meander I was blocked by settled sediments causing the break-up of this meander. The paper presents the preliminary estimation ofmorphological changes of the river bed and the physical and rheological characteristics for settled sediments.
Go to article

Authors and Affiliations

Robert Głowski
Robert Kasperek
Włodzimierz Parzonka
Mirosław Wiatkowski
Download PDF Download RIS Download Bibtex

Abstract

Water reaches a river in the form of surface runoff (precipitation that has not seeped into the ground) or underground outflow (groundwater). Both of these factors affect the erosion and river deposition processes that shape the river valley. Understanding them is crucial for effective river management.

Go to article

Authors and Affiliations

Tomasz Falkowski
ORCID: ORCID
Ewa Falkowska
Download PDF Download RIS Download Bibtex

Abstract

Changes in land use as a result of human activities may generate the alteration of hydrometeorological disasters. Erosion, sedimentation, floods and landslides frequently occur in the Sanenrejo watershed (±292 km2), located in East Java, Indonesia. In this paper, the soil and water assessment tool (SWAT) model is used to evaluate the hydrological processes in this small watershed. The digital elevation model (DEM) is used as the primary input for deriving the topographic and physical properties of the watershed. Other input data used for the modelling processes include soil type, land use, observed discharge data and climate variables. These data are integrated into the SWAT to calculate discharge, erosion and sedimentation processes. The existing observed discharge data used to calibrate the SWAT output at the watershed outlet. The calibration results produce Nash–Sutcliffe efficiency ( NSE) of 0.62 and determination coefficient (R2) of 0.75, then the validation result of 0.5 (NSE) and 0.63 (R2). The middle area faced the highest erosion and sedimentation that potentially contribute to hydrometeorological disasters.
Go to article

Authors and Affiliations

Mohamad Wawan Sujarwo
1
ORCID: ORCID
Indarto Indarto
1
ORCID: ORCID
Marga Mandala
1
ORCID: ORCID

  1. University of Jember, Faculty of Agricultural Technology, Jl kalimantan No. 37 Kampus Tegalboto, 68121, Jember, Jawa Timur, Indonesia
Download PDF Download RIS Download Bibtex

Abstract

Erosion and sedimentation have a very big influence on flooding. Floods are strongly influenced by land use and population activities that change the river’s physical condition, including erosion and sedimentation. The river upstream was very steep, and the downstream was narrowing and meandering with high rainfall recorded. This study analyses erosion, sedimentation, and its handling using the eco-hydraulic base. The method involves input rainfall data, river hydraulics, land use, watershed area, and land cover. The analysis of hydrology, hydraulics, land use, flood discharge, and eco-hydraulic, inundation height, vegetation diameter, velocity reduced, and riverbank width measured in five bridges cross-sections along the river. The eco-hydraulic compares the width of existing riverbanks and design, high inundation, and the vegetation diameter to minimise flood discharge. Erosion in the right cliff is 22.73% and the left cliff is 37.04%, land erosion was 225.83 Mg∙ha –1∙year –1. The river’s bottom is formed by rocks of 0.18–1.30 mm. The plantation land used around the Lae Kombih River grows mainly an oil palm with a diameter of 0.5–0.7 m. The riverbank design on 100 m for vegetation diameter of 0.1–1.0 m can retain flood discharge for five years return period up to 72.3%, resulting in discharge of 112.04209.43 m 3∙s –1. The largest erosion and sedimentation on the river border is Dusun Silak, so it is recommended to plant Vetiveria zizanioides, Ipomoea carnea and Bambusoideae. An inundation height of 0.9 m can be recommended to design an embankment to be used as flood mitigation.
Go to article

Authors and Affiliations

Ziana Ziana
1 2
ORCID: ORCID
Azmeri Azmeri
1 2
ORCID: ORCID
Alfiansyah Yulianur
1 2
ORCID: ORCID
Ella Meilianda
1 2
ORCID: ORCID

  1. Universitas Syiah Kuala, Doctoral Program, School of Engineering, Banda Aceh, 23111, Indonesia
  2. Universitas Syiah Kuala, Department of Civil Engineering, Banda Aceh, 23111, Indonesia
Download PDF Download RIS Download Bibtex

Abstract

The article presents research on solid particle erosive wear resistance of ductile cast iron after laser surface melting. This surface treatment technology enables improvement of wear resistance of ductile cast iron surface. For the test ductile cast iron EN GJS-350-22 surface was processed by high power diode laser HPDL Rofin Sinar DL020. For the research single pass and multi pass laser melted surface layers were made. The macrostructure and microstructure of multi pass surface layers were analysed. The Vickers microhardness tests were proceeded for single pass and multi pass surface layers. The solid particle erosive test according to standard ASTM G76 – 04 with 30°, 60° and 90° impact angle was made for each multi pass surface layer. As a reference material in erosive test, base material EN GJS-350-22 was used. After the erosive test, worn surfaces observations were carried out on the Scanning Electron Microscope. Laser surface melting process of tested ductile cast iron resulted in maximum 3.7 times hardness increase caused by microstructure change. This caused the increase of erosive resistance in comparison to the base material.

Go to article

Authors and Affiliations

A. Kotarska
D. Janicki
J. Górka
ORCID: ORCID
T. Poloczek
Download PDF Download RIS Download Bibtex

Abstract

To improve bioremediation of arsenic (As) contamination in soil, the use of microorganisms to efficiently reduce As and their assessment of genetic erosion by DNA damage using genomic template stability (GTS) evaluation and using RAPD markers were investigated. The five sites examined for microorganisms and contaminated soils were collected from affected gold mining areas. The highest As concentration in gold mining soil is 0.72 mg/kg. Microorganism strains isolated from the gold mining soil samples were tested for As removal capacity. Two bacterial isolates were identified by 16S rRNA gene sequence analysis and morphological characteristics as Brevibacillus reuszeri and Rhodococcus sp. The ability to treat As in nutrient agar (NA) at 1,600 mg/L and contaminated soil samples at 0.72 mg/kg was measured at 168 h, revealing more efficient As removal by B. reuszeri than Rhodococcus sp. (96.67% and 94.17%, respectively). Both species have the capacity to remove As, but B. reuszeri shows improved growth compared to the Rhodococcus sp. B. reuszeri might be suitable for adaptation and use in As treatment. The results are in agreement with their genetic erosion values, with B. reuszeri showing very little genetic erosion (12.46%) of culture in As concentrations as high as 1,600 mg/L, whereas 82.54% genetic erosion occurred in the Rhodococcus sp., suggesting that Rhodococcus sp. would not survive at this level of genetic erosion. Therefore, B. reuszeri has a high efficiency and can be used for soil As treatment, as it is capable to tolerate a concentration of 0.72 mg/kg and as high as 1,600 mg/L in NA.

Go to article

Authors and Affiliations

Lamyai Neeratanaphan
Tawatchai Tanee
Alongklod Tanomtong
Bundit Tengjaroenkul
Download PDF Download RIS Download Bibtex

Abstract

This paper presents technological trials aimed at producing Ag-W, Ag-WC, Ag-W-C and Ag-WC-C composite contact materials and characterizing their properties. These materials were obtained using two methods, i.e. press-sinter-repress (PSR) at the refractory phase content of less than 30% by weight as well as press-sinter-infiltration (PSI) at the refractory phase content of ≥50% by weight). The results of research into both the physical and electrical properties of the outcome composites were shown. They include the analysis of the influence of the refractory phase content (W or WC) on arc erosion and contact resistance changes for the following current range: 6 kAmax in the case of composites with a low refractory phase content, 10 kAmax in the case of composites with the refractory phase content of ≥50% by weight.
Go to article

Authors and Affiliations

K. Frydman
P. Borkowski
K. Pietrzak
D. Wójcik-Grzybek
A. Gładki
A. Sienicki
Download PDF Download RIS Download Bibtex

Abstract

The paper deals with susceptibility of nodular cast iron with ferritic -pearlitic matrix on cavitation erosion . Cavitation tests were carried out with the use of a cavitation erosion vibratory apparatus employing a vibration exciter operated at frequency of 20 kHz. The study allowed to determine the sequence of subsequent stages in which microstr ucture of cast iron in superficial regions is subject to degradation. The first features to be damaged are graphite precipitates. The ferritic matrix of the alloy turned out to be definitely less resistant to cavitation erosion compared to the pearlitic matrix component.

Go to article

Authors and Affiliations

A. Trytek
M. Tupaj
M. Mróz
A.W. Orłowicz
M. Radoń
M. Jacek
Download PDF Download RIS Download Bibtex

Abstract

The paper presents the capabilities of welding techniques to creating properties of wear resistant high chromium cast iron alloy. The use

of the right kind of welding sequence allows you to change the structure and properties of the obtained welds. Tests were conducted for

one type of additive material in the form of self shielded core wire. In order to determine the effect of the type of welding sequence on the

properties of welds performed welding using string bead and weave bead. The resulting weld was tested on hardness and research structure

in an optical microscope. In the following studies have been made erosive tests wear of made hardfacing. String beads gave structure rich

in carbides and harder about 270 HV of the weld with weave bead. Also, wear resistance was nearly twice as better for welds made with

string beads. In the experiment a decisive role in the resistance to wear plays a high hardness of the deposit and the presence of carbides in

its structure. Changes in the basic parameters of the deposition process allows for the formation of structure and properties of hardfacing

welds in a wide range.

Go to article

Authors and Affiliations

T. Wyleciał
M. Gucwa
J. Winczek
R. Bęczkowski
Download PDF Download RIS Download Bibtex

Abstract

The sintered stainless steels of different microstructures (austenitic, ferritic and duplex) were laser surface alloyed with hard powders (SiC, Si3N4) and elemental alloying powders (Cr, FeCr, FeNi) to obtain a complex steel microstructure of improved properties. Laser surface alloying (LSA) involved different strategies of powder placing: the direct powder feeding to the molten metal pool and filling grooves machined on the sample surface by powder, and then laser surface melting. Obtained microstructures were characterised and summarised, basing on LOM, SEM and XRD analysis. The links between base material properties, like superficial hardness and microhardness, derived microstructures and erosion resistance was described. The LSA conditions and alloying powder placement strategies on erosion resistance was evaluated. The erosion wear is lower for Cr, FeCr, FeNi laser alloying, where powders were dissolved in the steel microstructure, and hard phases were not precipitated. Precipitations of hard phases (carbides, silicides, martensite formation) reduce erosion resistance of SiC alloyed stainless steel. The LSA with Si3N4 works better due to lack of precipitates and formation of a soft and ductile austenitic microstructure. The erosion wear at the impingement angle of 90° is high for hard and therefore brittle surface layers obtained as a result of alloying by hard particles (SiC, Si3N4). The softer and ductile austenitic stainless steel resist better than harder ferritic and duplex stainless steel material at studied erodent im pingement angle.

Go to article

Authors and Affiliations

Z. Brytan
Download PDF Download RIS Download Bibtex

Abstract

Soil erosion in the Nangka watershed has always been a matter of concern. Over the last decade, soil erosion has led to continuous environmental problems. A thorough examination of the extent of the problem was required to identify an appropriate soil conservation strategy within the watershed. This study was conducted to observe erosion rates and map out the erosion hazard level. Erosion predictions were analysed by using the Revised Universal Soil Loss Equation (RUSLE) model with the help of ArcGIS software. RUSLE was selected because of its quantitative ability to estimate average annual soil erosion and its compatibility with the GIS interface. The potential hazard of soil erosion was classified and ranked into five class categories as set by the national authority. The results reveal that the Nangka watershed is prone to soil erosion with the annual average values ranging from 1.33 Mg·ha –1·y –1 to 2472.29 Mg·ha –1·y –1. High soil erosion rates of 9.8% are in severe (class IV) and very severe (class V) conditions, primarily in the upper course of the watershed. The low annual average of soil erosion (class I and class II), which accounted for 75.95% of the total erosion, mostly took place in the steepness below 35%. The remaining area of 14.25% within the watershed is in moderate condition (class III). It is expected that the results of this study will help the authority in the implementation of soil conservation measures.
Go to article

Authors and Affiliations

Yusron Saadi
1
ORCID: ORCID
Sus Mardiana
2
Eko Pradjoko
1
ORCID: ORCID

  1. University of Mataram, Faculty of Engineering, Department of Civil Engineering, Center for Disaster Risk Management, Majapahit St, No. 62, Mataram, NTB, 83125, Indonesia
  2. Nusa Tenggara I River Basin Organisation, Mataram, NTB, Indonesia

This page uses 'cookies'. Learn more