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福建省东南沿海水蚀区土壤侵蚀遥感测报
引用本文:林开旺,陈永宝. 福建省东南沿海水蚀区土壤侵蚀遥感测报[J]. 水土保持通报, 2002, 22(4): 24-28,49
作者姓名:林开旺  陈永宝
作者单位:1. 福建省水土保持亚行办,福建,福州,350003
2. 南安市水土保持试验站,福建,南安,362300
摘    要:以福建省东南沿海水蚀区的晋江流域 (泉州市 )为实验区 ,(1)利用大量的水土保持实验数据和USL E原型结构 (即 A =f RKSL CP) ,建立了适合该流域水蚀区的土壤侵蚀遥感测报模型 ;(2 )在中国南方红壤地区率先建立了县 (市 )级土壤侵蚀定量遥感测报系统 ,实现了土壤侵蚀定量、实时、快速测报 ,并在全流域 1.10× 10 4 km2 土地上推广应用 ;(3)建立了以像元 (30 m× 30 m )为基础的空间数据库系统及其可更新的 GIS系统 ,同时 ,还建立了防治类型预报模型 ,能够根据当地土壤侵蚀防治需要与经济承受能力提出了防治类型预报建议。根据对流域中下游的南安市 (面积 2 0 4 2 .72 km2 )实现动态测报 ,与水文法、径流小区法、实地调查法和档案法比较 ,其一致性达 80 %以上。

关 键 词:土壤侵蚀  监测和预报  水蚀区  中国福建省
文章编号:1000-288X(2002)04-0024-05
收稿时间:2002-07-03

Prediction and Application of Remote Sensing on Soil Erosion in Water Eroded Areas in Southeast Coastal Area of Fujian Province
LIN Kaiwang and CHEN Yongbao. Prediction and Application of Remote Sensing on Soil Erosion in Water Eroded Areas in Southeast Coastal Area of Fujian Province[J]. Bulletin of Soil and Water Conservation, 2002, 22(4): 24-28,49
Authors:LIN Kaiwang and CHEN Yongbao
Affiliation:LIN Kai wang 1,CHEN Yong bao 2
Abstract:Jinjiang watershed, located in the water eroded area of southeast coastal area of Fujian province, was used as an experiment zone. A remote sensing prediction model on the soil erosion suitable for watershed erosion area was established by using a great deal of data collected from soil and water conservation experiments, and prototype structure of USLE(A=fRKSLCP). A quantitative soil erosion remote sensing prediction system at county(city) level in red soil area in southern China was also established innovatively, realizing the quantitative, real time, and quick predicting on soil erosion. This prediction system was applied in an area of 11 000 km2, and a spatial database system based pixels of 30m×30m and its renewable GIS system were established. According to the dynamic prediction made in 1988,1995, and 1996 in Nan'an city which is located in middle and down stream of the watershed. the result consistency comparing with the hydrologic method, runoff plot method, on spot investigation method, and file method reached more than 80%.
Keywords:soil erosion  prediction and remote sensing  water eroded areas  Fujian province
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