PDF Download

[1]GU Shi-xian,WANG Xiao-dan,LIU Shu-zhen.The Preliminary Research on the Model Method of Soil Erodibility in the Aixigou Watershed of Jinsha River[J].Research of Soil and Water Conservation,2011,18(01):77-81.

Copy

The Preliminary Research on the Model Method of Soil Erodibility in the Aixigou Watershed of Jinsha River

Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume: 18 Number of periods: 2011 01 Page number: 77-81 Column: Public date: 2011-02-20

Title:: The Preliminary Research on the Model Method of Soil Erodibility in the Aixigou Watershed of Jinsha River

Author(s):: GU Shi-xian¹, WANG Xiao-dan², LIU Shu-zhen²; 1. Zhanjiang Normal University, Zhanjiang, Guangdong, 524048, China;
2. Key Laboratory of Mountain Environment and Regulation, Institute of Mountain Hazards and Environmnet, CAS, Chengdu, 610041

Keywords:: upper reaches of Jinsha River; soil erodibility; model method

CLC:: S157

DOI:: -

Abstract:: In the Aixigou watershed of the Jinsha River, its production capability is backward, soil and water loss is heavy and the anti-erosion ability of soil is not good, all of which cause the Aixigou watershed the main sediment provider of the upper reaches in the Jinsha River. The study on the soil erodibility factor K is the foundation of the soil and water conservation in that area, not only could help to conserve the soil loss of the grassland and farmland, but also could help to reduce the sediment in the Jinsha River. Based on the investigation results of the soil anti-erosion ability and soil erosion characteristics, this paper compared 3 kinds of classical model methods of soil erodibility using various field investigation data. The digital feature, the relationship between the predicted value and the field investigated value and the reliability of the predicted value span were comparative studied. As a result, the best model for soil erodibility estimation in the study area was the USLE-K model, the K value order of different soils was grey cinnamonic soil > alpine meadow soil > brown soil > dark brown forest soil, and the average K value of the watershed was 0.005 which was low around the country.

References:: [1] Ashish Pandey V M, Chowdary B C Mal. Identification of critical erosion prone areas in the small agricultural watershed using USLE, GIS and remote sensing[J].Water Resour. Manage, 2007, 21:729-746.
[2] Dabral P P. Neelakshi Baithuri. Ashish Pandey. Soil Erosion Assessment in a Hilly Catchment of North Eastern India Using USLE, GIS and Remote Sensing[J]. Water Resour Manage, 2008, 22:1783-1798.
[3] Shirazi M A, Boersma L. A unifying quantitative analysis of soil texture[J]. Soil Sci. Soc. Am. J., 1984, 48:142-147.
[4] 张科利, 彭文英, 杨红丽.中国土壤可蚀性值及其估算[J].土壤学报, 2007, 44(1):7-13.
[5] 刘吉峰, 李世杰, 秦宁生, 等.青海湖流域土壤可蚀性K值研究[J].干旱地区研究, 2006, 29(3):321-326.
[6] 王小丹, 钟祥浩, 王建平, 等.西藏高原土壤可蚀性及其空间分布规律初步研究[J].干旱地区农业研究, 2004, 27(3):343-346.
[7] Nikolaus J K, Rorke B B. Drying, soil surface condition and interrill erosion on two Ontario soils[J].Catena, 2004, 57(2):1l3-133.
[8] Tan Guoxin, Shibasaki R. Global estimation of crop productivity and the impacts of global warming by GIS and EPIC integration[J]. Ecological Modelling, 2003, 168:357-370.
[9] Hagen L J, Wagner L E, Tatatko J, et a1. Wind Erosion Prediction System:technical description[C]//Proceedings of WEPP／WEPS Symposium, August 9, Des Moines, IA[J]. Soil and Water Conservation Society, Ankeny, 1995.

Similar References:

Memo

Last Update: 1900-01-01