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2019 | 28 | 4 |
Tytuł artykułu

Temporal-spatial variation characteristics of soil erosion in the Pisha sandstone area, Loess Plateau, China

Autorzy
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Soil erosion in the Pisha sandstone area of the Loess Plateau in China has become a severe environment issue that has raised concerns globally. The projects of ecological restoration in this area and their impact on soil erosion have been analyzed using the unmanned aerial vehicle remote sensing system (UAVRSS) and the revised universal soil loss equation (RUSLE) in the Two-Tiger Valley Basin in 2013 and 2015. Our findings show that: 1) The volume of soil erosion and average soil erosion modulus decreased from 126.24 t year-1 and 6465.295 t km-2 year−1 to 114.7 t year-1 and 6333.19 t km-2 year−1 between 2013 and 2015, respectively. 2) Spatial-temporal variations of soil erosion are extremely significant. All erosion grades recorded different degrees of decline across the study period, except for the level of severe erosion. 3) There is a significant positive correlation between slope degree and soil erosion. When the slope degree was <5°, the soil erosion modulus was 51.355 t km-2 year−1, accounting for only 0.87 % of total erosion in this area. When the slope degree was >35°, the soil erosion modulus attained 2574.413 t km-2 year−1, and the erosion amount accounted for 43.52% of total erosion. Although anti-erosion and the promotion of plant growth measures have achieved noticeable ecological benefits, the present situation of preventing and controlling soil and water loss is still severe.
Słowa kluczowe
EN
Wydawca
-
Rocznik
Tom
28
Numer
4
Opis fizyczny
p.2205-2214,fig.,ref.
Twórcy
autor
  • College of Environment and Planning, Henan University, Kaifeng, China
  • Key Laboratory of Geospatial Technology for Middle and Lower Yellow River Region, Kaifeng, China
  • Collaborative Innovation Center of Urban-Rural Coordinated Development, Zhengzhou, China
autor
  • College of Environment and Planning, Henan University, Kaifeng, China
  • Key Laboratory of Geospatial Technology for Middle and Lower Yellow River Region, Kaifeng, China
  • Collaborative Innovation Center of Urban-Rural Coordinated Development, Zhengzhou, China
autor
  • College of Environment and Planning, Henan University, Kaifeng, China
  • Key Laboratory of Geospatial Technology for Middle and Lower Yellow River Region, Kaifeng, China
  • Collaborative Innovation Center of Urban-Rural Coordinated Development, Zhengzhou, China
autor
  • College of Environment and Planning, Henan University, Kaifeng, China
Bibliografia
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  • 2. WANG Y., WU Y., KOU Q., MIN D., CHANG Y., ZHANG R. Definition of arsenic rock zone borderline and its classification, Science of Soil and Water Conservation. 5 (1), 14, 2007.
  • 3. MORGAN R.P.C., QUINTON J.N., SMITH R.E., GOVERS G., POESEN J.W.A., AUERSWALD K. The European soil erosion model (EUROSEM): A dynamic approach for predicting sediment transport from fields and small catchment, Earth Surface Processes and Landforms. 23 (6), 527, 2015.
  • 4. MONDAL A., KHARE D., KUNDU S. A comparative study of soil erosion modelling by MMF, USLE and RUSLE. Geocarto International, 2016.
  • 5. XI J., ZHAO X., WANG X., ZHANG Z. Assessing the impact of land use change on soil erosion on the Loess Plateau of China from the end of the 1980s to 2010. Journal of Soil and Water Conservation. 72 (5), 452, 2017.
  • 6. BAGYARAJ M., RAMKUMAR T., VENKATRAMANAN S., CHUNG S. Y. GURUGNANAM B. Assessment of soil erosion probability in Kodaikanal, India using GIS and remote sensing. Disaster Advances. 7 (2), 36, 2014.
  • 7. NOORI H., KARAMI H., FARZIN S., SIADATMOUSAVI S. M., MOJARADI B., KISI O. Investigation of RS and GIS techniques on MPSIAC model to estimate soil erosion. Natural Hazards Journal of the International Society for the Prevention and Mitigation of Natural Hazards. 91 (1), 221, 2018.
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  • 10. HANCOCK G.R., VERDONKIDD D., JBC L. Soil erosion predictions from a landscape evolution model – An assessment of a post-mining landform using spatial climate change analogues. Science of the Total Environment, 601, 109, 2017.
  • 11. YU M., HUANG Y., SUN C.F., WU Y. Spatial-Temporal Analysis of Soil Erosion in Ninghua County Based on the RUSLE, Springer Singapore, 2017.
  • 12. TAMENE L., ADIMASSU Z., ELLISON J., YAEKOB T., WOLDEAREGAY K., MEKONNEN K., THORNEF P., LE B. Mapping soil erosion hotspots and assessing the potential impacts of land management practices in the highlands of Ethiopia. Geomorphology, 2017.
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  • 16. GANASRI B.P., RAMESH. Assessment of soil erosion by RUSLE model using remote sensing and GIS - A case study of Nethravathi Basin. Geoscience Frontiers, 7 (6), 953, 2016.
  • 17. TAGUAS E.V., MORAL C., AYUSO J.L., PÉREZ R., GÓMEZ J.A. Modelling the spatial distribution of water erosion within a Spanish olive orchard microcatchment using the SEDD model, Geomorphology, 133 (2), 47, 2011.
  • 18. ELMOUDEN A., ALAHIANE N., FASKAOUI M.E., MORJANI Z.E.A.E. Dams Siltation and Soil Erosion in the Souss-Massa River Basin. Morocco. Springer, Cham. 95, 2016.
  • 19. Li X.Y., Yue G.F., Ran S.U., Juan Y.U. Research on Pisha-sandstone’s anti-erodibility based on grey multilevel comprehensive evaluation method. Journal of Groundwater Science and Engineering. 4 (2), 103, 2016.
  • 20. ZHANG C.C., QIN F., WANG H., LI N., LI Y. Quantization and Spatial Variation of Topographic Features Using 3D Fractal Dimensions in Arsenic Rock Area, Scientia Geographica Sinica. 36 (1), 142, 2016.
  • 21. SHENG Y., QIN F.C., ZHANG Y.J. Study on Land-use Change and Pattern Optimization of Small Watershed in Soft Rock Region, Research of Soil and Water Conservation. 21 (2), 76, 2014.
  • 22. YAO J.N., QIN F. Comprehensive assessment on Ecoenvironmental quality of the area of sandstone, Research of Soil and Water Conservation. 21 (6), 193, 2014.
  • 23. YE J.D., QIN F.C., YUE Y.J., ZHANG Y. The applicability of WEPP in simulating the soil erosion in soft rock region, Journal of Arid Land Resources and Environment. 26 (7), 132, 2012.
  • 24. CORREA S.W., MELLO C.R., CHOU S.C., CURI N., NORTON L.D. Soil erosion risk associated with climate change at Mantaro River basin, Peruvian Andes. Catena. 147, 110, 2016.
  • 25. LIU X., CHEN P., TONG X., LIU S., LIU S.J., HONG Z.H., LI L.Y., LUAN K.F. UAV-based low-altitude aerial photogrammetric application in mine areas measurement, 2012 Second International Workshop on Earth Observation and Remote Sensing Applications (EORSA), 240, 2012.
  • 26. LI X.Y., Yue G.F., Ran S.U., YU J. Research on Pishasandstone’s anti-erodibility based on grey multi-level comprehensive evaluation method. Journal of Groundwater Science and Engineering, 4 (2), 103, 2016.
  • 27. WISCHMEIER W.H., SMITH D.D. Predicting rainfall erosion losses - a guide to conservation planning. United States. dept. of Agriculture. agriculture Handbook, 1978.
  • 28. RENARD K.G., FOSTER G.R., WEESIES G.A., PORTER J.P. RUSLE: Revised universal soil loss equation, Journal of soil and Water Conservation. 46 (1), 30, 1991.
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  • 32. THE MINISTRY OF WATER RESOURCES PRC. SL190- 2007, Standards for classification and Gradation of Soil Erosion, Beijing: China Water Power Press, 2008.
  • 33. WANG J., ZHUO J. Quantitative Assessment of Soil Erosion in Areas Under Grain for Green Project in Loess Plateau of Northern Shaanxi Province Based on GIS and RS. Bulletin of Soil and Water Conservation, 35 (1), 220, 2015.
Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.agro-d7b06d2c-c3c0-46e7-ab9f-c70c1d5ea71c
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