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Risk assessment of soil erosion by application of remote sensing and GIS in Yanshan Reservoir catchment, China

Natural Hazards volume 79, pages 277–289 (2015)Cite this article

Abstract

Soil erosion is considered to be a serious problem for environmental sustainability. Healthy and stable soils are crucial for human well-being, providing important ecosystem functions and services. There is a need for a simple and practical approach which estimates and maps soil erosion risk that uses available information as input data to facilitate water and soil conservation. In this work, we developed a predictive approach to estimating the soil erosion risk of the Yanshan Reservoir catchment, which combines remote sensing information, geographic information system spatial analysis technology and a soil erosion risk assessment model. Three dominating factors affecting soil erosion were considered: vegetation coverage, topographic slope and land use. The soil erosion risk was divided into six levels: slight, light, moderate, intense, severe and extremely severe. The slight and light erosion risk accounted for about 83 % of the watershed and was prominent in cultivated land areas, while areas with relatively higher erosion risk were on steep slopes. This approach pointed to inappropriate land use and development as a source of increased risk of soil erosion of the Yanshan Reservoir catchment. Compared with field survey data, the soil erosion modeling approach was shown to have a high accuracy. Therefore, this model could be used to estimate and map soil erosion intensity and distribution at the catchment scale, and could provide useful information for managers and planners to make land management and conservation decisions.

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References

  • Agapiou A, Hadjimitsis DG (2011) Vegetation indices and field spectroradiometric measurements for validation of buried architectural remains-verification under area surveyed with geophysical campaigns. Appl Remote Sens 5(1):053554

    Article  Google Scholar 

  • Ai L, Fang NF, Zhang B, Shi ZH (2013) Broad area mapping of monthly soil erosion risk using fuzzy decision tree approach-integration of multi-source data within GIS. Int J Geogr Inf Sci 27(6):1251–1267

    Article  Google Scholar 

  • Alexakis DD, Hadjimitsis DG, 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. Atmos Res 131:108–124

    Article  Google Scholar 

  • Burrough PA, McDonell RA (1998) Principles of geographical information systems. Oxford University Press, New York, p 190

    Google Scholar 

  • China MOWR (2008) Standards for classification and gradation of soil erosion: SL 190-2007. China Water Power Press, Beijing, p 20 (in Chinese)

    Google Scholar 

  • Datta PS, Schack-Kirchner H (2010) Erosion relevant topographical parameters derived from different DEMs-A comparative study from the Indian lesser Himalayas. Remote sense 2:1941–1961

    Article  Google Scholar 

  • Fadul HM, Salih AA, Ali IA, Inanaga S (1999) Use of remote sensing to map gully erosion along the Atbara River, Sudan. Int J Appl Obs Geoinf 1(3–4):175–180

    Article  Google Scholar 

  • Hu Y, Lei Y, Tian G, He S, He R (2014) The ecosystem health evaluation of the water-level-fluctuating zone in Yanshan Reservoir. J Henan Agric Univ 48(6):757–764 (in Chinese)

    Google Scholar 

  • Kheir RB, Cerdan O, Abdallah C (2006) Regional soil erosion risk mapping in Lebanon. Geomorphology 82:347–359

    Article  Google Scholar 

  • Kirkby MJ, Irvine BJ, Jones RJA, Govers G, The PT (2008) The PESERA coarse scale erosion model for Europe. І.-Model rationale and implementation. Eur J Soil Sci 59:1293–1306

    Article  Google Scholar 

  • Kouli M, Soupios P, Vallianatos F (2009) Soil erosion prediction using the revised universal soil loss equation (RUSLE) in a GIS framework, Chania, Northwestern Crete. Greece. Environ Geol 57(3):483–497

    Article  Google Scholar 

  • Laflen JM, Moldenhauer WC (2003) Pioneering soil erosion prediction-the USLE story. World Association of Soil and Water Conservation, Beijing

    Google Scholar 

  • Liu C, Qi S, Shi M (2001) Process of study on relationship between land use change and soil erosion. J Soil Water Conserv 15(5):10–13 (in Chinese)

    Google Scholar 

  • Nusser SM, Goebel JJ (1997) The national resources inventory-A long-term multi-resource monitoring programmer. Environ Ecol Stat 4(3):181–204

    Article  Google Scholar 

  • OECD (2008) Environmental performance of agricultural at a Glance. OECD Publications, Paris, p 126

    Google Scholar 

  • Panagos P, Meusburger K, Marc VL, Alewell C, Hiederer R, Montanarella L (2014) Assessing soil erosion in Europe based on data collected through a European network. Soil Sci Plant Nutr 60:15–29

    Article  Google Scholar 

  • Prasannakumar V, Shiny R, Geetha N, Vijith H (2011) Spatial prediction of soil erosion risk of by remote sensing, GIS and RUSLE approach-a case study of Siruvani river watershed in Attapady valley, Kerala, India. Environ Earth Sci 64:965–972

    Article  Google Scholar 

  • Qiao G, Tan L, Chen E (2009) Experimental study on deceleration of soil erosion by watershed vegetation. Water Resour Prot 25(3):52–56 (in Chinese)

    Google Scholar 

  • Renard KG, Foster GR, Weesies GA, Porter JP (1991) RUSLE-revised universal soil loss equation. J Soil Water Conserv 46(1):30–33

    Google Scholar 

  • Servenay A, Prat C (2003) Erosion extension of indurated volcanic soils of Mexico by aerial photographs and remote sensing analysis. Geoderma 117(3–4):367–375

    Article  Google Scholar 

  • She Q, Wang Z, Zhao Z, Ding N, Li J (2010) Monitoring and assessment on water quality of Yanshan wetland reservoir. J Anhui Agric Sci 38(19):10212–10213 (in Chinese)

    Google Scholar 

  • Si W, Yin X (2012) The evaluation of Yanshan reservoir water quality. Water Resour South-to-North Water Divers 14:22–23 (in Chinese)

    Google Scholar 

  • Silva RMD, Montenegro SMGL, Santos CAG (2012) Integration of GIS and remote sensing for estimation of soil loss and prioritization of critical sub-catchments-a case study of Tapacura catchment. Nat Hazards 62:953–970

    Article  Google Scholar 

  • Song X, Ma Y, Zhao Y, Kou C, Chen J (2011) Assessment of soil erosion of Danjiangkou reservoir area in Xichuan country based on GIS and RS. J Zhengzhou University (Nat Sci Edn) 43(2):119–123 (in Chinese)

    Google Scholar 

  • Stroosnijder L (2005) Measurement of erosion-Is it possible. Catena 64(2–3):162–173

    Article  Google Scholar 

  • Tian YC, Zhou YM, Wu BF, Zhou WF (2009) Risk assessment of water soil ersoion in upper basin of Miyun Reservoir, Beijing. China Environ Geol 57(4):937–942

    Article  Google Scholar 

  • Tiwari AK, Risse LM, Nearing MA (2000) Evaluation of WEPP and its comparison with USLE and RUSLE. Soil Water Div ASAE 43(5):1129–1135

    Google Scholar 

  • Tsara M, Kosmas C, Kirkby MJ, Kosma D, Yassoglou N (2006) An evaluation of the PESERA soil erosion model and its application to a case study in Zakynthos, Greece. Soil Use Manage 21(4):377–385

    Article  Google Scholar 

  • Vrieling A, Sterk G, Beaulieu N (2002) Erosion risk mapping-A methodological case study in the Colombian Eastern plains. J Soil Water Conserv 57(3):158–163

    Google Scholar 

  • Vrieling A, De Jong SM, Sterk G, Rodrigues SC (2008) Timing of erosion and satellite data: a multi-resolution approach to soil erosion risk mapping. Int J Appl Earth Obs Geoinf 10:267–281

    Article  Google Scholar 

  • Wang L (2004) China’s water conservancy encyclopedia: volume of soil and water conservation. China Water Power Press: Beijing (in Chinese)

  • Wang L, Huang J, Du Y, Hu Y, Han P (2013) Dynamic assessment of soil erosion risk using landsat tm and hj satellite data in Danjiangkou reservoir area. China. Remote sensing 5(8):3826–3848

    Article  Google Scholar 

  • Wen Z, Lees BG, Jiao F, Lei W, Shi H (2010) Stratified vegetation cover index-A new way to assess vegetation impact on soil erosion. Catena 83:87–93

    Article  Google Scholar 

  • Wischmeier WH (1976) Use and misuse of the universal soil loss equation. J Soil Water Conserv 31(1):5–9

    Google Scholar 

  • Zhang X, Wu B, Ling F, Zeng Y, Yan N, Yuan C (2010) Identification of priority areas for controlling soil erosion. Catena 83:76–86

    Article  Google Scholar 

  • Zhang J, Gao C, Chen N (2011) Assessment on impact of reservoir construction on ecological environment. J Anhui Agric Sci 39(5):2876–2878,2916 (in Chinese)

  • Zhou P, Luukkanen O, Tokola T, Nieminen J (2008) Effect of vegetation cover on soil erosion in a mountainous watershed. Catena 75:319–325

    Article  Google Scholar 

  • Zhu D, Wang T, Cai C, Li L, Shi Z (2010) Rapid assessment of regional soil erosion based on fuzzy neural system and GIS. Trans Chin Soc Agric Eng 26(1):103–107 (in Chinese)

    Google Scholar 

  • Zhu M, Tan S, Zhang Q (2014) Characteristics of soil erodibility in the South-to-North water transfer project (middle route), China. Resour Environ Yangtze Basin 23(8):1161–1165 (in Chinese)

    Google Scholar 

Download references

Acknowledgments

This work was supported by the National Natural Science Foundation of China (No. 31470029) and the Innovation Scientists and Technicians Troop Construction Projects of Zhengzhou City (No. 096SYJH32108). We thank two anonymous reviewers for comments which greatly improved this manuscript.

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Authors and Affiliations

  1. College of Forestry, Henan Agricultural University, Zhengzhou, 450002, China

    Yanfang Hu, Guohang Tian & Ruizhen He

  2. School of Forest Resources and Environmental Science, Michigan Technological University, Houghton, MI, 49931, USA

    Yanfang Hu & Audrey L. Mayer

  3. Department of Social Sciences, Michigan Technological University, Houghton, 49931, MI, USA

    Audrey L. Mayer

Authors
  1. Yanfang Hu
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  2. Guohang Tian
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  3. Audrey L. Mayer
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  4. Ruizhen He
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Correspondence to Guohang Tian or Audrey L. Mayer.

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Hu, Y., Tian, G., Mayer, A.L. et al. Risk assessment of soil erosion by application of remote sensing and GIS in Yanshan Reservoir catchment, China. Nat Hazards 79, 277–289 (2015). https://doi.org/10.1007/s11069-015-1841-4

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  • DOI: https://doi.org/10.1007/s11069-015-1841-4

Keywords

  • Soil erosion
  • Risk assessment
  • VSCI model
  • Remote sensing
  • GIS

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