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皖北刘桥矿采煤塌陷区生态环境动态监测
引用本文:裴文明, 姚素平, 董少春, 胡奎, 段中稳, 王继华, 彭龙超. 皖北刘桥矿采煤塌陷区生态环境动态监测[J]. 煤田地质与勘探, 2015, 43(2): 67-72. DOI: 10.3969/j.issn.1001-1986.2015.02.014
作者姓名:裴文明  姚素平  董少春  胡奎  段中稳  王继华  彭龙超
作者单位:1. 南京大学地球科学与工程学院,江苏 南京,210023
2. 皖北煤电集团有限责任公司,安徽 宿州,234000
基金项目:国家科技支撑计划课题(2012BAC10B02);恒源煤电公司科研项目
摘    要:基于多时相的遥感影像数据,采用遥感技术动态监测皖北刘桥矿区近20 a来土地覆盖变化、塌陷积水区水深及分布和水环境富营养化状态。监测结果表明:2012年矿区塌陷积水面积已达到研究区总面积的23.86%,最大积水水深超过4 m,积水区水质已达到轻度-中度富营养化状态。在此基础上,根据因地制宜、合理开发的原则,对塌陷水域进行划分,提出建立以生态农业为核心,集成景观湿地、休闲娱乐和调蓄功能的采煤塌陷区生态环境综合治理模式。

关 键 词:刘桥矿区  采煤塌陷区  遥感技术  动态监测  生态修复模式
收稿时间:2014-01-16

Dynamic monitoring of ecological environment of subsidence area of Liuqiao coal mining area in Northern Anhui
PEI Wenming, YAO Suping, DONG Shaochun, HU Kui, DUAN Zhongwen, WANG Jihua, PENG Longchao. Dynamic monitoring of ecological environment of subsidence area of Liuqiao coal mining area in Northern Anhui[J]. COAL GEOLOGY & EXPLORATION, 2015, 43(2): 67-72. DOI: 10.3969/j.issn.1001-1986.2015.02.014
Authors:PEI Wenming  YAO Suping  DONG Shaochun  HU Kui  DUAN Zhongwen  WANG Jihua  PENG Longchao
Abstract:In this paper, remote sensing technology has been applied in monitoring of the land cover variation, detection of water depth and distribution as well the eutrophication of water environments in subsided water-accumulating area in past 20 years on the basis of the multi-temporal remote sensing images. The results show that the subsided water-accumulating area has reached 22.23% of the total study area in 2012, the maximum water depth is over 4 meters, and the water is at slight to moderate eutrophication level. According to local conditions and reasonable development, we divide the subsided water area and propose an comprehensive restoration model of ecological environment, which would emphasize on the establishment of ecological agriculture, integration of landscape of wetlands, entertaining and regulation and storage functions in the coal mining.-induced subsidence area. 
Keywords:Liuqiao coal mining area  coal mining-induced subsidence area  remote sensing technology  dynamic moni-toring  ecological restoration model
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