流域非点源污染景观源汇格局因子空间定量计算方法研究

项目名称： 流域非点源污染景观源汇格局因子空间定量计算方法研究

项目编号： No.61473286

项目类型： 面上项目

立项/批准年度： 2015

项目学科： 其他

项目作者： 张新

作者单位： 中国科学院遥感与数字地球研究所

项目金额： 82万元

中文摘要： 水环境危机是我国生态环境中最复杂且最具挑战性的问题。没有健康的流域，就没有健康的河流。本申请针对流域非点源污染景观源汇格局与河流水质的关系研究中的 仅求出景观变量和水质指标之间的单因素定性或半定量相关性难以准确地说明景观对水质的影响科学问题，从流域非点源污染不同源汇景观斑块的空间大小、形状、排列、连通性、邻接性等景观空间结构因子及其配置的污染输出、削减效应的定量化计算角度，研究流域非点源污染景观源汇格局因子定量计算的智能理解模型；充分挖掘遥感影像图与谱的双重特征优势，提出融合图-谱特征的流域非点源污染景观源汇格局因子多尺度遥感信息智能提取方法；解决流域非点源污染景观源汇格局多因子空间配置动态优化模拟等关键技术；选取福建省龙岩、漳州、厦门三地市超过500 万人的饮用水和工农业水源地的九龙江流域为示范区，开展实验研究，为我国流域非点源污染防控、治理和生态安全格局构建提供科学

中文关键词： 流域；非点源污染；景观格局；遥感信息提取；定量计算

英文摘要： The crisis of water quality is the most complex challenge in China. There is no healthy basin,no healthy river.Facing the problem of constructing the the single factor descriptive or self-quantitative relativity between landscape variables and reiver water quality can not explain the influence of landscape to river water quality,the proposal aims to study the quantitative methods to compute the non-point pollution output or reduce with different basin landscape spatial structure or arrangement style such as the size,the shape,the arrangement style,the connectivity,the adjoin relationship etc. of the landscape objects. Firstly,the landscape factors' quantitative computing intelligent understanding model will be studied. Secondly, the spatial-spectral based multi-scale remote sensing information intelligent extracting method will be studied,which can use the advantages of spatial and spectral of remote sensing data. Thirdly, the key technology of spatial dynamic optimization simulation of the source and assemblage landscape factors of basin non-point pollution will be solved. In the end,the experiment study will be carried in the Jiulong river basin of Fujian province which is the souce of for drink, industray and agriculture of more than 5000 thousands people of Longyan, Xiamen,and Zhangzhou.The study achievement will provide theoretic and technological reference for the basin's non-point pollution defence, control and management, and ecological safety pattern construction.

英文关键词： basin;non-point pollution;landscape pattern;remote sensing information extracting;quantitative computing