基于环境一号卫星影像的淮南潘集采煤塌陷积水区富营养化评价  

Eutrophication evaluation of water-accumulating mining-induced collapsed area in Huainan Panji using CCD images from HJ-1 satellite

作　　者：裴文明[1] 董少春[1] 姚素平[1] 徐翀[2] 陈永春[2] 

机构地区：[1]南京大学地球科学与工程学院,江苏南京201193 [2]淮南矿业(集团)有限责任公司煤矿生态环境保护国家工程实验室,安徽淮南232001

出　　处：《煤田地质与勘探》2013年第5期49-55,共7页Coal Geology & Exploration

基　　金：国家科技支撑计划课题(2012BAC10B02);淮南矿业集团科研项目(HNKY-JT-JS-2011)

摘　　要：通过研究淮南潘集杨庄采煤塌陷积水区水体水质指标与环境一号卫星影像4个波段反射率值之间的关系,针对叶绿素、透明度、总磷、总氮、高锰酸钾指数5项主要水质参数建立了遥感监测模型。采用综合营养状态指数法,评价了该地区水体整体水质富营养化程度。评价结果表明,该塌陷积水区水体为轻度—中度富营养化,与实测水样分析监测的结果基本吻合,证明了水质遥感模型反演技术在当地水质监测中的适用性和可靠性,为实现该地区水质动态监测与预警提供了技术支持。This paper takes Panji mining area of Huainan city as the study area to evaluate the water quality based on HJ-1 imaging data. We first had establish relationship between water quality indicators of Yangzhuang wa-ter-accumulating area collapsed due to coal mining and the HJ-1/CCD data. And then we created remote sensing monitoring models aiming at Chl、SD、TP、TN and CODMn separately. Comprehensive nutrition state index method was adopted to evaluate the water quality of the study area. The results show that the study area is of light-middle eu-trophication, which is accorded with the monitoring results of in-situ measurements. This research work demonstrates that the monitoring models that we established for the study area is reliable and could provide impo rtant technical support to realize the dynamic monitoring of water quality by remote sensing and early warning in the future.

关 键 词：环境一号卫星 采煤塌陷积水区 水质监测 反演模型 富营养化 

分 类 号：P641.69[天文地球—地质矿产勘探] X141[天文地球—地质学]