[1]QI Qing,WANG Tian-ming,KOU Xiao-Jun,et al.Quantitative Assessment of Soil Erosion in Small Watershed in Loess Plateau Based on GIS[J].Research of Soil and Water Conservation,2009,16(03):1-5,37.
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Quantitative Assessment of Soil Erosion in Small Watershed in Loess Plateau Based on GIS
Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume:
16
Number of periods:
2009 03
Page number:
1-5,37
Column:
Public date:
2009-06-20
- Title:
- Quantitative Assessment of Soil Erosion in Small Watershed in Loess Plateau Based on GIS
- Keywords:
- soil erosion; revised universal soil loss equation (RUSLE); QuickBird image; Loess Plateau
- CLC:
- S157.1;TP79
- DOI:
- -
- Abstract:
- Taking small watershed as unit to quantitativly assess soil erosion is an important approach and content to explore the soil erosion rules and assess the benefit of watershed management. Based on the revised universal soil equation (RUSLE), the volume of soil erosion of Nanxiaohegou watershed which lies in Loess Plateau were evaluated using the GIS techniques and QuickBird remote sensing-images and the relationship of soil loss with slope gradient and land use were analyzed. Results showed that the annual soil erosion volume in Nanxiaohegou was 88 504.2 t/a,and soil erosion modulus reached 2 438.98 t/(km2·a),which was in the range of gently erosion and indicate the soil erosion had been greatly controlled. A significant positive relationship of the soil erosion volume with the slope gradient was observed, and the >25° units contribute more than 80% soil loss. Soil erosion varied sharply with different type of vegetations in a decreasing order of natural pasture > unformed forestland > sparse forest > shrub forest > cultivated grassland>arbor forest. Adjusting the structure of sparse forest, enhancing the management unformed forest and natural pasture, strengthening the management of unusable land and barren land to increase the vegetation coverage might be effective approaches to reduce soil erosion.
- References:
-
[1] 徐天蜀, 彭世揆, 岳彩荣.基于GIS的小流域土壤侵蚀评价研究[J].南京林业大学学报:自然科学版, 2002, 26(4):43-46.
[2] Morgan R P C. Soil Erosion and Conservation[M]. London: Longman Group Limited, 1986.
[3] 谢云, 林燕, 张岩.通用土壤流失方程的发展与应用[J].地理科学进展, 2003, 22(3):279-287.
[4] 于兴修, 杨桂山.通用水土流失方程因子定量研究进展与展望[J].自然灾害学报, 2003, 12(3):14-18.
[5] 蔡崇法, 丁树文.应用USLE模型与地理信息系统IDRISI预测小流域土壤侵蚀量的研究[J].水土保持学报, 2000, 14(2):19-24.
[6] 汪明冲, 潘竟虎, 赵军.基于GIS与RS的土壤侵蚀变化定量监测:以黄土高原水保二期世行贷款庆城项目区为例[J].干旱地区农业研究, 2007, 25(6):116-121.
[7] Moore I D, Burch G J.Physical basis of the length slope factor in the Universal Soil Loss Equation[J]. Soil Science Society of America Journal, 1986, 50(5):1294-1298.
[8] Femandez C, Wu J Q, McCool D K, et a1.Estimating water erosion and sediment yield with GIS, RUSLE, and SEDD[J]. Journal of Soil and Water Conservation, 2003, 58(3):128-136.
[9] Moore I D, Wilson J P.Length-slope factors for the Revised Universal Soil Loss Equation:Simplified method of estimation[J]. Journal of Soil and water Conservation, 1992, 7(5):423-428.
[10] 潘竟虎, 董晓峰.基于GIS与QuickBird影像的小流域土壤侵蚀定量评价[J].生态与农村环境学报, 2006, 22(2):1-5.
[11] 刘世梁, 傅伯杰, 马克明, 等.岷江上游高原植被类型与景观特征对土壤性质的影响[J].应用生态学报, 2004, 15(1):26-30.
[12] 张岩, 刘宝元, 史培军, 等.黄土高原土壤侵蚀作物覆盖因子计算[J].生态学报, 2001, 21(7):1050-1055.
[13] 张岩, 袁建平, 刘宝元.土壤侵蚀预报模型中的植被覆盖与管理因子研究进展[J].应用生态学报, 2002, 13(8):1033-1036.
[14] 周斌, 杨柏林, 洪业汤, 等.基于GIS的岩溶地区水土流失遥感定量监测研究[J].矿物学报, 2000, 20(1):13-21.
[15] 同新奇, 胥彦玲, 李怀恩, 等.黄土高原向阳沟流域水土保持措施效益分析[J].水土保持通报, 2006, 26(5):86-93.
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