Knowledge Resource Center for Ecological Environment in Arid Area
项目编号 | 61375002 |
漳河流域多尺度遥感信息提取支持下的非线性水环境评价方法研究 | |
李万庆 | |
主持机构 | 河北工程大学 |
开始日期 | 2014 |
结束日期 | 2017 |
资助经费 | 680000(CNY) |
项目类别 | 面上项目 |
资助机构 | CN-NSFC(国家自然科学基金) |
语种 | 中文 |
国家 | 中国 |
英文简介 | The crisis of water quality is the most complex challenge in China. As the complex ecological system of watersheds, its ecological crisis evaluation is very complex resulting in the spatial heterogeneity and continuity of the biological and physical process. In this proposal,taking the Zhang River watershed as the typica lexperiment region,whichi is one of the upper reaches of Hai River in the half arid region,the study content will be carried as follow.At first, the pollution database will be constructed based on the station monitoring.Secondly,facing the problem of using the method of factor weight and weighted mean linear model to realize membership degree change, the non-linear membership degree change definition and computation method will be studied. Thirdly, the watershed local water qulaity assessment model will be constructed,which includes the monitoring data assessment model, the synchro assessment model and the pre-assessment model.For the watershed non-point pollution,the multi-scale remote sensing information extracting technologies of water quality factors with spatial heterogeneity characteristics and the pollution load computing method will be studied.And the contrast analysis between the remote sensing data and the settled station observation data will be operated. The research achievement will lay foundation for the water quality abnormity identifying and the construction of safety ecological pattern. The study subject is a multi-subject study and the achievement will provide theoretic and technological reference for the water environment protection of watershed. |
中文关键词 | 流域水质 ; 非线性整合 ; 多尺度遥感信息提取 ; 单污染物不确定性 |
来源机构 | 河北工程大学 |
资源类型 | 项目 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/345649 |
推荐引用方式 GB/T 7714 | 李万庆.漳河流域多尺度遥感信息提取支持下的非线性水环境评价方法研究.2014. |
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