文章摘要
李盟,方瑞,乐峰,吴芳,张雪.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[J].水土保持通报,2018,38(4):228~233
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
Quantitative Monitoring of Soil and Water Loss in Key Control and Prevention Areas of Jiangsu Province Based on RS and GIS
投稿时间:2018-01-10  修订日期:2018-02-22
DOI:10.13961/j.cnki.stbctb.2018.04.037
中文关键词: 遥感  地理信息系统  水土流失  定量监测
英文关键词: RS  GIS  soil and water loss  quantitative monitoring
基金项目:江苏省2015年度财政项目
作者单位
李盟 江苏省水文水资源勘测局, 江苏 南京 210029 
方瑞 江苏省水文水资源勘测局, 江苏 南京 210029 
乐峰 江苏省水文水资源勘测局, 江苏 南京 210029 
吴芳 江苏省水文水资源勘测局, 江苏 南京 210029 
张雪 江苏省水土保持生态环境监测总站, 江苏 南京 210012 
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中文摘要:
      [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1 917.82 km2,轻度以上流失面积175.76 km2,占总流失面积的9.16%;赣榆区水土流失面积1 511.2 km2,轻度以上流失面积131.95 km2,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。
英文摘要:
      [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 km2, mild loss area and above was 175.76 km2, accounting for 9.16% of the total loss area. The area of soil erosion in Ganyu district was 1 511.2 km2, mild loss area and above is 131.95 km2, 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.
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