Assessment of Erosion Risk in Guizhou Province Based on Geological Information System(GIS) Technology

CHEN Qi-wei; XIONG Kang-ning; LAN An-jun

doi:10.11988/ckyyb.20191065

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Journal of Changjiang River Scientific Research Institute ›› 2020, Vol. 37 ›› Issue (12) : 47-52. DOI: 10.11988/ckyyb.20191065

WATERSOIL CONSERVATION AND ECOCONSTRUCTION

Assessment of Erosion Risk in Guizhou Province Based on Geological Information System(GIS) Technology

CHEN Qi-wei^1,2,3, XIONG Kang-ning^1,2, LAN An-jun^1,2

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Abstract

Research on the potential danger of soil erosion in karst area is weak at present. We interpreted the soil erosion intensity in Guizhou Province, a typical karst region, with land use, lithology, and base rock coverage as semantic factors by Geological Information System(GIS) according to Standards for classification and gradation of soil erosion and Techniques standard for comprehensive control of soil erosion and water loss in karst region. Furthermore, we assessed the potential danger of soil erosion in Guizhou by using the soil erosion potential danger index (SEPDI) based on the allowable soil loss value and the soil anti-erosion life. Results suggest that the area of soil and water loss in Guizhou has amounted to 47 831.73 km², dominated by light erosion, with an erosion modulus of 341 t / (km²·a) and a SEPDI of 2.52, indicating high level of potential danger. The SEPDI of 25.3% of villages in Guizhou ranges between 2 and 3, among which Liupanshui, Qianxinan, and Bijie feature the highest risk.We recommend that prevention work should be incorporated into SEPDI rather than merely soil erosion degree, and special attention needs to be given to areas with high SEPDI but weak soil erosion levels.

Key words

soil erosion / karst area / erosion risk assessment / potential danger index(SEPDI) / geological information system(GIS) / Guizhou Province

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CHEN Qi-wei, XIONG Kang-ning, LAN An-jun. Assessment of Erosion Risk in Guizhou Province Based on Geological Information System(GIS) Technology[J]. Journal of Changjiang River Scientific Research Institute. 2020, 37(12): 47-52 https://doi.org/10.11988/ckyyb.20191065

References

[1] ARNHOLD S, LINDNER S, LEE B, et al. Conventional and Organic Farming: Soil Erosion and Conservation Potential for Row Crop Cultivation[J]. Geoderma, 2014, 220(3):89-105.
[2] PARK S, OH C, JEON S, et al. Soil Erosion Risk in Korean Watersheds, Assessed Using the Revised Universal Soil Loss Equation[J]. Hydrology, 2011, 399(3): 263-273.
[3] 张平仓,程冬兵.新时期水土保持内涵及与相关科学的关系[J].长江科学院院报,2014,31(10):23-27.
[4] BORRELLI P, PANAGOS P, MÄRKER M, et al. Assessment of the Impacts of Clear-cutting on Soil Loss by Water Erosion in Italian Forests: First Comprehensive Monitoring and Modelling Approach[J]. Catena, 2017, 149(3): 770-781.
[5] 刘彦伶,李渝,秦松,等.西南喀斯特生态脆弱区实行轮作休耕问题探讨:以贵州省为例[J].中国生态农业学报,2018,26(8):1117-1124.
[6] 李晋,熊康宁.我国喀斯特地区水土流失研究进展[J].土壤通报,2012,43(4):1001-1007.
[7] 李宏伟,田耀金,宋立旺,等.水土流失监测方法研究进展[J].中国人口·资源与环境,2015,25(增刊1):393-395.
[8] 魏兴萍,袁道先,谢世友.运用137Cs与土壤营养元素探讨重庆岩溶槽谷区山坡土壤的流失和漏失[J].水土保持学报,2010,24(6):16-19,23.
[9] 罗为群,蒋忠诚,韩清延,等.岩溶峰丛洼地不同地貌部位土壤分布及其侵蚀特点[J].中国水土保持,2008(12):46-49.
[10]王恒松,熊康宁,张芳美.地形因子对喀斯特坡面水土流失影响的机理研究[J].水土保持通报,2015,35(4):1-7.
[11]李瑞,刘瑞禄,吕涛,等.贵州省喀斯特地区典型小流域不同种植模式坡面径流产沙研究[J].水土保持通报,2012,32(5):132-135.
[12]曹建华,蒋忠诚,杨德生,等.我国西南岩溶区土壤侵蚀强度分级标准研究[J].中国水土保持科学,2008,6(6):1-7,20.
[13]张信宝,王世杰.浅议喀斯特流域土壤地下漏失的界定[J].中国岩溶,2016,35(5):602-603.
[14]严友进,戴全厚,伏文兵,等.下垫面变化对喀斯特坡地地下产流产沙的影响[J].水土保持学报,2018,32(1):67-73,79.
[15]李渊,刘子琦,吕小溪,等.贵州石漠化地区地下漏失水土理化性质特征[J].水土保持学报,2016,30(6):111-117.
[16]孙德亮,赵卫权,李威,等.基于GIS与RUSLE模型的喀斯特地区土壤侵蚀研究:以贵州省为例[J].水土保持通报,2016,36(3):271-276,283.
[17]FENG T, CHEN H, WANG K, et al. Modeling Soil Erosion Using a Spatially Distributed Model in a Karst Catchment of Northwest Guangxi, China[J]. Earth Surface Process and Landforms, 2014, 39(15): 2121-2130.
[18]龙明忠,杨洁,吴克华.喀斯特峡谷区不同等级石漠化土壤侵蚀对比研究:以贵州花江示范区为例[J]. 贵州师范大学学报(自然科学版),2006,24(1):25-30.
[19]陈美淇,魏欣,张科利,等.基于CSLE模型的贵州省水土流失规律分析[J].水土保持学报,2017,31(3):16-21.
[20]倪九派,袁道先,谢德体,等.基于GIS的岩溶槽谷区小流域土壤侵蚀量估算[J].应用基础与工程科学学报,2010,18(2):217-225.
[21]张穗,姜莹,李喆.3S技术支持下的汝溪河水土流失动态监测及分析[J].长江科学院院报,2016,33(11):21-27.
[22]彭双云,杨昆,洪亮, 等.基于USLE模型的滇池流域土壤侵蚀时空演变分析[J].农业工程学报,2018,34(10):138-146,305.
[23]LI Y, BAI X Y, WANG S J, et al. Evaluating of the Spatial Heterogeneity of Soil Loss Tolerance and Its Effects on Erosion Risk in the Carbonate Areas of Southern China[J]. Solid Earth, 2017, 8(3): 661-669.
[24]赵明月,曹益铭.滇东南岩溶区土壤侵蚀敏感性分析及其空间分异特征[J].测绘与空间地理信息,2017,40(3):107-110.
[25]朱翊,王东兴.基于自适应权值的土壤侵蚀危险性模糊评价[J].地理信息世界,2017,24(6):57-60.
[26]陈洪松,冯腾,李成志,等.西南喀斯特地区土壤侵蚀特征研究现状与展望[J].水土保持学报,2018,32(1):10-16.
[27]SL461—2009,岩溶地区土壤侵蚀综合治理技术标准[S]. 北京:水利电力出版社,2009:2-5.
[28]SLl90—2007,土壤侵蚀分类分级标准[S]. 北京:水利电力出版社, 2008:8-12.
[29]王凯,马金辉,夏燕秋,等.基于GIS的泾河北洛河上游重点治理区土壤侵蚀潜在危险度评价[J].水土保持通报,2016,36(2):343-348.
[30]顾再柯,杨勇,王晓宇.改革开放40年贵州省水土保持工作成效与经验[J].中国水土保持,2018(12):59-62.
[31]陈晓平.喀斯特山区环境土壤侵蚀特性的分析研究[J].土壤侵蚀与水土保持学报,1997(4):32-37.