An integrated assessment of soil erosion dynamics with special emphasis on gully erosion in the Mazayjan basin, southwestern Iran

被引:0
作者
Reza Zakerinejad
Michael Maerker
机构
[1] Eberhard-Karls-University of Tübingen,Institute of Geography
[2] Semnan University,Faculty of Desert Studies
[3] Università degli studi di Firenze,Dipartimento Scienze della Terra
来源
Natural Hazards | 2015年 / 79卷
关键词
Soil erosion; Gully erosion; GIS; Data mining; Stream power index (SPI); USPED;
D O I
暂无
中图分类号
学科分类号
摘要
Soil erosion by water is a significant problem in arid and semi-arid areas of large parts of Iran. Water erosion is one of the most effective phenomena that leads to decreasing soil productivity and pollution of water resources; especially, in the Mazayjan watershed in the southwest of Fars Province gully erosion contributes to the sediment dynamics in a significant way. Consequently, the intention of this research is to identify the different types of soil erosion processes acting in the area and to assess the process dynamics in an integrative way. Therefore, we applied GIS and satellite image analysis techniques to derive input information for the numeric models. For sheet and rill erosion the Unit Stream Power-based Erosion Deposition Model (USPED) was utilized. The spatial distribution of gully erosion was assessed using a statistical approach, which used three variables (stream power index, slope, and flow accumulation) to predict the spatial distribution of gullies in the study area. The eroded gully volumes were estimated for a 7-year period by fieldwork and Google Earth high-resolution images. Finally the gully retreat rates were integrated into the USPED model. The results show that the integration of the SPI approach to quantify gully erosion with the USPED model is a suitable method to qualitatively and quantitatively assess water erosion processes. The application of GIS and stochastic model approaches to spatialize the USPED model input yields valuable results for the prediction of soil erosion in the Mazayjan catchment. The results of this research help to develop an appropriate management of soil and water resources in the southwestern parts of Iran.
引用
收藏
页码:25 / 50
页数:25
相关论文
共 237 条
[1]  
Adediji 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) Iran J Energy Environ 1 255-264
[2]  
Tukur AM(2011)Runoff and sediment yield modeling using WEPP in a semi-arid environment (Case study: Orazan Watershed) Desert 16 5-12
[3]  
Adepoju KA(2007)Future long-term changes in global water resources driven by socio-economic and climatic changes Hydrol Sci J 52 247-275
[4]  
Ahmadi H(2012)Mapping soil erosion and sediment yield susceptibility using RUSLE, remote sensing and GIS (Case study: Cham Gardalan Watershed, Iran) Adv Environ Biol 6 109-124
[5]  
Taherib S(2012)Estimation of soil losses by USLE model using GIS at Mashhad plain, Northeast of Iran Arab J Geosci 7 211-220
[6]  
Feizniac S(2011)Investigation of relationships among the environmental factors and water erosion changes using EPM model and GIS Int Res J Appl Basic Sci 3 945-949
[7]  
Azarnivandd H(1980)ANSWERS: a model for watershed planning Trans ASCE 23 938-944
[8]  
Alcamo J(2005)Digital soil mapping using artificial neural networks J Plant Nutr Soil Sci 168 21-33
[9]  
Flörke M(2000)Extending the RUSLE with the Monte Carlo error propagation technique to predict long-term average off-site sediment accumulation J Soil Water Conserv 55 35-42
[10]  
Märker M(2010)Water erosion prediction using the revised universal soil loss equation (RUSLE) in a GIS framework, Central Chile Chil J Agric Res 70 159-169