基于RS和GIS的江苏省水土流失重点预防区和治理区定量监测
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摘要
[目的]对江苏省水土流失重点治理区和预防区代表县进行水土流失定量监测,以掌握该区水土流失情况,为该区水土流失动态监测提供技术方法和理论支持。[方法]收集江苏省徐州市铜山区和连云港市赣榆区2015年度高分一号遥感影像、DEM和降雨量,以中国土壤流失方程(CSLE)为基本算法。[结果]铜山区水土流失面积1 917.82km~2,轻度以上流失面积175.76km~2,占总流失面积的9.16%;赣榆区水土流失面积1 511.2km~2,轻度以上流失面积131.95km~2,占总流失面积的8.73%。[结论]本研究方法模型参数真实、客观,不受人为因素干扰,适合多期、大尺度水土流失动态监测,能为江苏省水土流失动态监测提供高效可行的技术方法。
[Objective]Quantitative monitoring of soil and water loss in representative districts of soil and water loss in key control and prevention areas was conducted to grasp the relative conditions of soil and water loss,and to provide technical methods and theoretical support for dynamic monitoring of soil erosion.[Methods]High-resolution remote sensing images,DEM and rainfall data in Tongshan District of Xuzhou City and Ganyu District of Lianyungang City in Jiangsu Province were collected.And Chinese soil erosion equation(CSLE)was used as the basic algorithm to calculate the potential losses of soil and water.[Results]The area of soil erosion in Tongshan district was 1 917.82 km~2,mild loss area and above was 175.76 km~2,accounting for 9.16% of the total loss area.The area of soil erosion in Ganyu district was 1 511.2 km~2,mild loss area and above is 131.95 km~2,accounting for 8.73% of the total loss area.[Conclusion]The model parameters of the research are real and objective,and are not interfered by human factors.It is suitable for multi-period and/or large-scale dynamic monitoring of soil erosion,and will provide an efficient and feasible method for the dynamic monitoring of soil erosion in Jiangsu Province in the future.
[Objective]Quantitative monitoring of soil and water loss in representative districts of soil and water loss in key control and prevention areas was conducted to grasp the relative conditions of soil and water loss,and to provide technical methods and theoretical support for dynamic monitoring of soil erosion.[Methods]High-resolution remote sensing images,DEM and rainfall data in Tongshan District of Xuzhou City and Ganyu District of Lianyungang City in Jiangsu Province were collected.And Chinese soil erosion equation(CSLE)was used as the basic algorithm to calculate the potential losses of soil and water.[Results]The area of soil erosion in Tongshan district was 1 917.82 km~2,mild loss area and above was 175.76 km~2,accounting for 9.16% of the total loss area.The area of soil erosion in Ganyu district was 1 511.2 km~2,mild loss area and above is 131.95 km~2,accounting for 8.73% of the total loss area.[Conclusion]The model parameters of the research are real and objective,and are not interfered by human factors.It is suitable for multi-period and/or large-scale dynamic monitoring of soil erosion,and will provide an efficient and feasible method for the dynamic monitoring of soil erosion in Jiangsu Province in the future.
引文
[1]江苏省水利厅.关于发布江苏省省级水土流失重点预防区和重点治理区的公告(苏水农[2014]48号)[R].江苏南京:江苏省水利厅,2014.
[2]李晓松,姬翠翠,曾源,等.基于遥感和GIS的水土流失动态监测:以河北省赤城县为例[J].生态学杂志,2009,28(9):1723-1729.
[3]刘耀林,罗志军.基于GIS的小流域水土流失遥感定量监测研究[J].武汉大学学报:信息科学版,2006,31(1):35-38.
[4]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:以贵州省(原)安顺市为例[J].矿物学报,2000,20(1):13-21.
[5]叶健.江苏省第一次全国水利普查成果汇编[M].江苏南京:河海大学出版社,2015.
[6]Renard K G.RUSLE Agricultural Manual NR.703;Predicting Soil Erosion by Water:A Guide to Conservation Planning with the Revised Universal Soil Loss Equation(RUSLE)[M].USA Springfield:United States Department of Agriculture,1992.
[7]McCool D K.Revised slope steepness factor for the universal soil loss equation[J].Transactions of the American Society of Agricultural Engineers,1987,30(5):1388-1396.
[8]Wischmeier W H,Smith D D.Agriculture Handbook No.537;Predicting Rainfall Erosion Losses:A Guide to Conservation Planning with the Universal Soil Loss Equation(USLE)[M].USA Springfield:United States Department of Agriculture,1978.
[9]符素华,吴敬东,段淑怀,等.北京密云石匣小流域水土保持措施对土壤侵蚀的影响研究[J].水土保持学报,2001,15(2):21-24.
[10]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.
[11]林杰,张金池,顾哲衍,等.基于叶面积指数的植被覆盖管理措施因子C的遥感定量估算[J].林业科学,2013,49(2):86-92.
[12]李叶鹏.对水土保持措施及其减水减沙效益分析[J].中国房地产业,2015(S2):114.
[13]朱虹,唐婷婷,蔡艳蓉.土壤侵蚀预报模型中的水土保持措施因子研究进展[J].科技展望,2015(21):222-224.
[14]章文波,刘宝元.基于GIS的中国土壤侵蚀预报信息系统[J].水土保持学报,2003,17(2):89-92.
[15]柯克比.土壤侵蚀[M].北京:水利电力出版社,1987.
[2]李晓松,姬翠翠,曾源,等.基于遥感和GIS的水土流失动态监测:以河北省赤城县为例[J].生态学杂志,2009,28(9):1723-1729.
[3]刘耀林,罗志军.基于GIS的小流域水土流失遥感定量监测研究[J].武汉大学学报:信息科学版,2006,31(1):35-38.
[4]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:以贵州省(原)安顺市为例[J].矿物学报,2000,20(1):13-21.
[5]叶健.江苏省第一次全国水利普查成果汇编[M].江苏南京:河海大学出版社,2015.
[6]Renard K G.RUSLE Agricultural Manual NR.703;Predicting Soil Erosion by Water:A Guide to Conservation Planning with the Revised Universal Soil Loss Equation(RUSLE)[M].USA Springfield:United States Department of Agriculture,1992.
[7]McCool D K.Revised slope steepness factor for the universal soil loss equation[J].Transactions of the American Society of Agricultural Engineers,1987,30(5):1388-1396.
[8]Wischmeier W H,Smith D D.Agriculture Handbook No.537;Predicting Rainfall Erosion Losses:A Guide to Conservation Planning with the Universal Soil Loss Equation(USLE)[M].USA Springfield:United States Department of Agriculture,1978.
[9]符素华,吴敬东,段淑怀,等.北京密云石匣小流域水土保持措施对土壤侵蚀的影响研究[J].水土保持学报,2001,15(2):21-24.
[10]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.
[11]林杰,张金池,顾哲衍,等.基于叶面积指数的植被覆盖管理措施因子C的遥感定量估算[J].林业科学,2013,49(2):86-92.
[12]李叶鹏.对水土保持措施及其减水减沙效益分析[J].中国房地产业,2015(S2):114.
[13]朱虹,唐婷婷,蔡艳蓉.土壤侵蚀预报模型中的水土保持措施因子研究进展[J].科技展望,2015(21):222-224.
[14]章文波,刘宝元.基于GIS的中国土壤侵蚀预报信息系统[J].水土保持学报,2003,17(2):89-92.
[15]柯克比.土壤侵蚀[M].北京:水利电力出版社,1987.