Search results

Filters

  • Journals
  • Authors
  • Keywords
  • Date
  • Type

Search results

Number of results: 3
items per page: 25 50 75
Sort by:
Download PDF Download RIS Download Bibtex

Abstract

The environmental assessment of the surface water quality of the Western Bug River has been made using the system of classification quality of land surface water of Ukraine in accordance with the approved methodology, which allows comparing water quality of separate areas of water objects of different regions. The calculation of the environmental as-sessment of water quality has been carried according to three blocks: block of salt composition, block of trophic and sapro-bic (ecological and sanitary) indicators and block of indicators of content of specific toxic substances. The results are pre-sented in the form of a combined environmental assessment, based on the final conclusions of the three blocks and consists in calculating the integral ecological index. Comprehensive studies of changes in the water quality of the Western Bug Riv-er have been conducted within the territory of Ukraine for a long-term period. The water quality of the river on the final values of the integral indicators of the ecological condition corresponded mainly to 4nd category of the 3rd class – the wa-ter is “satisfactory” by condition and “little polluted” by degree of purity (except for points of observation that located within the Volyn region, where the water quality corresponded to 3rd category and the 2nd class. It is “good” by condition and “fairly clean” by the degree of purity). Visualization and part of the analysis are performed using GIS technologies in the software of the ArcGIS 10.3.

Go to article

Authors and Affiliations

Igor Gopchak
Tetiana Basiuk
Ihor Bialyk
Oleg Pinchuk
Ievgenii Gerasimov
Download PDF Download RIS Download Bibtex

Abstract

Water and wind erosion are the most powerful factors in the decrease of soil fertility and a threat to food security. The study was conducted on the steppe zone in Ukraine (total area of 167.4 thous. km2), including agricultural land (131.6 thous. km2). At the first stage, the modeling of spatial differentiation of water and wind erosion manifestations was carried out to calculate losses of soil (Mg·ha–1) and to determine their degradation. At the second stage, soil-climatic bonitet of zonal soils (points) is carried out to determine their natural fertility (Mg·ha–1). At the third stage, the spatial adjustment of the natural soil fertility to the negative effect of erosion was carried out. This made it possible to calculate crop losses and total financial losses due to water and wind erosion. The integrated spatial modeling showed that about 68.7% of arable land was constantly affected by the combined erosion, in particular the area of low eroded arable land (16.8%), and medium and highly eroded land (22.1%). Due to erodibility of soil, about 23.3% of agricultural land transferred from the category of high and medium quality to medium, low and very low quality, which is caused by the loss of soil fertility of up to 70%, crop losses of up to 1.93 Mg·ha–1 ha–1 and eduction of agricultural income up to 390 USD·ha–1. In the steppe region under the research, gross crop losses from erosion were up to 15.11 thous. Mg·ha–1 (3.05 mln USD). In order to protect soils, improve fertility and increase crop yields in the steppe zone in Ukraine, the following measures were suggested: adaptive and landscape erosion control design with elements of conservation farming in accordance with the spatial differentiation of soil quality and extent of water erosion deflation danger.
Go to article

Authors and Affiliations

Nataliia Dudiak
1
ORCID: ORCID
Vitalii Pichura
1
ORCID: ORCID
Larisa Potravka
1
ORCID: ORCID
Natalia Stratichuk
1
ORCID: ORCID

  1. Kherson State Agrarian and Economic University, Faculty of Fisheries and Nature Management, Stritens'ka str. 23, Kherson, 73006, Ukraine
Download PDF Download RIS Download Bibtex

Abstract

The article presents results of quality class determination and regulatory and monetary valuation of agricultural land in the steppe soils irrigation zone using the Karmanov’s methodology of soil and climatic quality class determination and au-thor's methodology of ecological, agro-ameliorative and climatic soils quality class determination. Based on the results of spatial modeling, a series of maps was created and characteristics of ecological, agro-ameliorative and relief and climatic components of soils quality class were presented based on the example of the Kherson Region, Ukraine. According to the results soil and climatic quality class determination, it is established that the value of the class varies from 25 to 46 points; the regulatory and monetary value of agricultural land varies from USD 490 per 1 ha for dark chestnut and chestnut al-kaline soils up to USD1,360 per ha for ordinary chernozem. According to the results of ecological, agro-ameliorative and climatic soils quality class determination, it is established that the value of the class varies from 6 to 59 points; the regulato-ry and monetary value of agricultural land varies from USD145 per 1 ha for degraded and highly saline chestnut soils up to USD2,060 per ha for irrigated southern chernozem. The suggested methodology of soil quality class calculation can have multiple purposes. It is intended to be used for different physiographic conditions of land use to develop adaptive soils pro-tection measures at different territorial levels of agricultural production management with the overall objective of ensuring sustainable land use.
Go to article

Bibliography

BEZNITSKA N.V. 2017. Modelyuvannya g'runtovo-klimatychnogo potentsyalu sil's'kogospodars'kykh zemel' Khersons'koyi oblasti iz zastosuvannya GIS-tekhnologyi [Modeling of soil and climatic potential of agricultural lands of the Kherson region using GIS-technology]. Visnyk Natsional'nogo universytetu vodnogo gospodarstva ta pryrodokorystuvannja. No. 4 (76) p. 31–43.
BREUS D., YEVTUSHENKO O., SKOK S., RUTTA O. 2019. Retrospective studies of soil fertility change on the example of the Kherson region (Ukraine). International Multidisciplinary Scientific GeoConference Surveying Geology and Mining Ecology Management, SGEM. Vol. 19 (5.1) p. 645–652. DOI 10.5593/sgem2019/5.1/S20.080.
BURYAK ZH.A., GRIGOREVA O.I., PAVLYUK YA.V. 2014. GIS maintenance of rural territories geoplanning under basin principles. International Journal of Advanced Studies. Vol. 4 (2) p. 56–60. DOI 10.12731/2227-930X-2014-2-8.
DOMARATSKY YE.O., ZHUYKOV O.G., IVANIV M.O. 2018. Influence of sowing periods and seeding rates on yield of grain sorghum hybrids under regional climatic transformations. Indian Journal of Ecology. Vol. 45(4) p. 785–789.
DUDIAK N.V., PICHURA V.I., POTRAVKA L.A., STRATICHUK N.V. 2019a. Geomodelling of destruction of soils of Ukrainian steppe due to water erosion. Journal of Ecological Engineering. Vol. 20(8) p. 192–198. DOI 10.12911/22998993/110789.
DUDIAK N.V., PICHURA V.I., POTRAVKA L.A., STROGANOV A.A. 2020. Spatial modeling of the effects of deflation destruction of the steppe soils of Ukraine. Journal of Ecological Engineering. Vol. 21(2) p. 166–177. DOI 10.12911/22998993/ 116321.
DUDIAK N.V., POTRAVKA L.A., STROGANOV A.A. 2019b. Soil and climatic bonitation of agricultural lands of the steppe zone of Ukraine. Indian Journal of Ecology. Vol. 46(3) p. 534–540.
JENSENA J.L., SCHJØNNINGA P., WATTSB C.W., CHRISTENSENA B.T., OBOURAC P.B., MUNKHOLMA L.J. 2020. Soil degradation and recovery – Changes in organic matter fractions and structural stability. Geoderma. Vol. 364. DOI 10.1016/ j.geoderma.2020.114181.
Kabinet Ministriv Ukrayiny 2016. Metodyka normatyvnoyi hroshovoyi otsinky zemelʹ silʹsʹkohospodarsʹkoho pryznachennya [Methods of normative monetary valuation of agricultural land] [online]. November 16, 2016. No. 831. [Access 20.03.2020]. Available at: https://zakon.rada.gov.ua/laws/show/831-2016-%D0%BF
KARMANOV I.I. 1980. Plodorodye pochv SSSR [Soil fertility of the USSR]. Moscow. Kolos pp. 224.
KARMANOV I.I., BULGAKOV D.S. 2012. Metodika pochvenno-agroklimaticheskoy otsenki pakhotnykh zemel' dlya kadastra [Methodology of soil and agroclimatic assessment of arable land for cadaster]. Moscow. Rossiyskaya akademiya sel'skokhozyaystvennykh nauk, Gosudarstvennoe nauchnoe uchrezhdeniye Pochvennyy institut imeni V.V. Dokuchayeva. ISBN 978-5-904761-32-5 pp. 119.
KARMANOV I.I., BULGAKOV D.S., SHISHKONAKOVA E.A. 2013. Sistema otsenki prirodno-antropogennykh vozdeystviy na izmeneniye plodorodiya pochv pakhotnykh zemel' na osnove pochvenno-agroklimaticheskogo indeksa [An assessment system of natural and anthropogenic effects on changes]. Byulleten' Pochvennogo instituta imeni V.V. Dokuchaeva. No. 72 pp. 65–83.DOI 10.19047/0136-1694-2013-72-65-83.
LI J., CHEN H., ZHANG C. 2020. Impacts of climate change on key soil ecosystem services and interactions in Central Asia. Ecological Indicators. Vol. 116. DOI 10.1016/j.ecolind.2020.106490.
LISETSKII F., CHEPELEV O. 2014. Quantitative substantiation of pedogenesis model key components. Advances in Environmental Biology. Vol. 8(4) p. 996–1000.
LISETSKII F.N. 2012. Soil reproduction in steppe ecosystems of different ages. Contemporary Problems of Ecology. Vol. 5(6) p. 580–588. DOI 10.1134/S1995425512060108.
LISETSKII F.N., PICHURA V.I., BREUS D.S. 2017a. Use of geoinformation and neurotechnology to assess and to forecast the humus content variations in the steppe soils. Russian Agricultural Sciences. No. 2(43) p. 151–155. DOI 10.1134/S1995425512060108.
LISETSKII F.N., STOLBA V.F., PICHURA V.I. 2017b. Late-Holo¬cene palaeoenvironments of Southern Crimea: Soils, soil-climate relationship and human impact. Holocene. Vol. 27(12) p. 1859–1875. DOI 10.1177/0959683617708448.
MEDVEDEV V.V. 2009. Neodnorodnost' pochv i tochnoye zemledeliye [Soil heterogeneity and precision farming]. Part 2. Kharkov. KP «Gorodskaya topografiya». ISBN 978-966-8726-50-7 pp. 260.
MEDVEDEV V.V., PLISKO I.V. 2006. Bonitirovka i kachestvennaya otsenka pakhotnykh zemel' Ukrainy [Bonitation and qualitative assessment of arable land in Ukraine]. Kharkov. 13 tipografiya. ISBN 966-8726-31-6 pp. 386.
PICHURA V.I., DOMARATSKY Y.A., YAREMKO YU.I., VOLOCHNYUK Y.G., RYBAK V.V. 2017. Strategic ecological assessment of the state of the transboundary catchment basin of the Dnieper River under extensive agricultural. Indian Journal of Ecology. Vol. 44 (3) p. 442–450.
PICHURA V.I., POTRAVKA L.A., DUDIAK N.V., SKRYPCHUK P.M., STRATICHUK N.V. 2019. Retrospective and forecast of heterochronal climatic fluctuations within territory of Dnieper Basin. Indian Journal of Ecology. Vol. 46(2) p. 402–407.
RASMUSSEN C., TABOR N.J. 2007. Applying a quantitative pedogenic energy model across a range of environmental gradients. Soil Science Society of America Journal. Vol. 71(6) p. 1719–1729. DOI 10.2136/sssaj2007.0051.
STORIE R.E. 1978. Storie index soil rating. Division of Agricultural Sciences. Vol. 32(3) p. 1–4.
TSYBIKDORZHIEV TS.TS., KHUBRAKOVA B.TS., GONCHIKOV B-M.N. 2009. Bonitirovka i kadastrovaya otsenka pochv Dzhidinskogo rayona Respubliki Buryatiya [Valuation and cadastral valuation of soils of the Dzhidinsky district of the Republic of Buryatia]. Vestnik Buryatskoy gosudarstvennoy sel'skokhozyaystvennoy akademii im. V.R. Filippova. No. 3(16) p. 143–150.
ZELENSKAYA E., PICHURA V., DOMARATSKY YE. 2018. Priorities of agroecological monitoring of the composition of soil trace elements taking into account the peculiarities of its formation over time. Journal of Engineering and Applied Sciences. Vol. 13 p. 5807–5813. DOI 10.3923/jeasci.2018.5807.5813.

Go to article

Authors and Affiliations

Vitalii Pichura
1
ORCID: ORCID
Larisa Potravka
1
ORCID: ORCID
Nataliia Dudiak
1
ORCID: ORCID
Alexander Stroganov
1
Olha Dyudyaeva
1

  1. Kherson State Agrarian and Economic University, Stritens'ka str. 23, Kherson, 73006, Ukraine

This page uses 'cookies'. Learn more