城区重度污染水体遥感识别研究

doi:10.13474/j.cnki.11-2246.2018.0143

测绘通报 ›› 2018, Vol. 0 ›› Issue (5): 54-58,140.doi: 10.13474/j.cnki.11-2246.2018.0143

城区重度污染水体遥感识别研究

李佳琦^1,2, 戴华阳¹, 李家国^2,3, 朱利⁴, 周亚明⁴

1. 中国矿业大学(北京), 北京 100083;
2. 中国科学院遥感与数字地球研究所, 北京 100101;
3. 三亚中科遥感研究所, 三亚 572029;
4. 环境保护部卫星环境应用中心, 北京 100094

收稿日期:2017-09-05 修回日期:2017-11-13 出版日期:2018-05-25 发布日期:2018-05-31
通讯作者: 李家国。E-mail:jacoli@126.com E-mail:jacoli@126.com
作者简介:李佳琦(1994-),女,硕士生,研究方向为水色遥感。E-mail:lijiaqi_wrs@163.com
基金资助:
国家重点研发计划重点专项项目（2016YFC080250）；高分辨率对地观测系统国家重大科技专项项目（30-Y20A07-9003-17/18）；海南自然科学基金创新研究团队项目（2017CXTD015）；国家自然科学基金（41301388）

Remote Sensing Identification of Heavily Polluted Water in Urban Areas

LI Jiaqi^1,2, DAI Huayang¹, LI Jiaguo^2,3, ZHU Li⁴, ZHOU Yaming⁴

1. China University of Mining & Technology(Beijing), Beijing 100083, China;
2. Institute of Remote Sensing Application and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China;
3. Sanya Zhongke Research Institute of Remote Sensing, Sanya 572029, China;
4. Satellite Environment Center, Ministry of Environmental Protection, Beijing 100094, China

Received:2017-09-05 Revised:2017-11-13 Online:2018-05-25 Published:2018-05-31

摘要/Abstract

摘要：

城市污染水体整治对城市良好水环境具有重大意义。本文基于污染水体形成机理，构建污染水体遥感识别模型，实现了城市污染水体快速、高效、大范围的提取。本文以银川市为研究区，开展银川市污染水体遥感识别，并进行实地验证。验证结果表明污染水体遥感识别精度可达62.96%，共确定银川市污染水体12条，为银川市污染水体整治工作提供参考。此外，本文还分析了影响识别精度的原因，以提高后续污染水体遥感识别精度。由于遥感识别污染水体尚属首次，因此识别精度一般。在今后研究工作中，将会加入其他指标继续研究，以提高精度。

关键词: 遥感识别, 污染水体, 污染形成机理

Abstract:

The remediation of polluted water is of great significance to the good water environment of the city.Based on the formation mechanism of polluted water,the remote sensing identification model of polluted water bodies is constructed,and the rapid and efficient extraction of polluted water bodies is realized.This paper takes Yinchuan city as the study area to carry out the remote sensing identification of Yinchuan polluted water and field validation.The verification results show that the remote sensing identification accuracy of polluted water can reach 62.96%,which can be used to identify twelve polluted waters in Yinchuan City,which will provide references for the remediation of polluted water in Yinchuan.In order to improve the remote sensing accuracy of polluted water recognition,we also analyzed the reasons that affect the accuracy in this paper.Since it is the first time for the remote sensing to identify polluted water,the identification accuracy is not high.After the research work,we will continue to study other indicators to improve the accuracy.

Key words: remote sensing identification, polluted water, formation mechanism of polluted water

中图分类号:

P237

李佳琦, 戴华阳, 李家国, 朱利, 周亚明. 城区重度污染水体遥感识别研究[J]. 测绘通报, 2018, 0(5): 54-58,140.

LI Jiaqi, DAI Huayang, LI Jiaguo, ZHU Li, ZHOU Yaming. Remote Sensing Identification of Heavily Polluted Water in Urban Areas[J]. 测绘通报, 2018, 0(5): 54-58,140.

参考文献

[1] 住房城乡建设部.城市黑臭水体整治工作指南[EB/OL].(2015-08-28)[2016-06-21].http://www.mohurd.gov.cn/wjfb/201509/t20150911_224828.html.
[2] 林培.《城市黑臭工作指南》解读[J].建设科技,2015(8):14-15.
[3] 李建,田礼乔,陈晓玲.水环境参数定量遥感反演空间尺度误差分析[J].测绘学报,2017,46(4):478-486.
[4] 中国科学院遥感与数字地球研究所.遥感技术首次辅助城市黑臭水体整治工作取得进展[EB/OL].(2017-04-20)[2017-04-28].http://www.radi.ac.cn/dtxw/kjyw/201704/t20170420_4777980.html.
[5] 周星宇,张继贤,高绵新,等.高分辨率遥感影像下沿海地区地表覆盖信息的提取[J].测绘通报,2017(2):19-24.
[6] 张兵,李俊生,王桥,等.内陆水体高光谱遥感[M].北京:科学出版社,2012.
[7] 谢飞,吴俊锋.城市黑臭河流成因及治理技术研究[J].污染防治技术.2016,29(1):1-3.
[8] 王旭,王永刚,孙长虹,等.城市黑臭水体形成机理与评价方法研究进展[J].应用生态学报,2016,27(4):1331-1340.
[9] 黑臭水体是怎么形成的?[J].环境经济.2015(Z3):38.
[10] 王逢武,封勇.我国黑臭水体形成机理及治理技术研究进展[J].水资源保护,2016,32(1):52-56.
[11] 李学萌.黑臭水体的产生原因及综合治理研究[J].当代化工研究,2016(8):85-86.
[12] DUAN H T,MA R H,LOISELLE S A,et al.Optical Characterization of Black Water Blooms in Eutrophic Waters[J].Science of the Total Environment,2014,482-483:174-183.
[13] WANG G F,LI X N,FANG Y,et al.Analysis on the Formation Condition of the Algae-induced Odorous Black Water Agglomerate[J].Saudi Journal of Biological Sciences,2014,21:594-607.
[14] CANFIELD D E,LINDA S B,HODGSON L M,et al.Relations between Color and Some Limnological Characteristics of Florida Lakes[J].Journal of the American Water Resources Association,1984(20):323-329.
[15] 马荣华,段洪涛,唐军武,等.湖泊水环境遥感[M].北京:科学出版社,2010.
[16] 孙淑雲,古小治,张启超,等.水草腐烂引发的黑臭水体应急处置技术研究[J].湖泊科学,2016,28(3):485-493.
[17] SUGIURA N,UTSUMI M,WEI B,et al.Assessment for the Complicated Occurrence of Nuisance Odours from Phytoplankton and Environmental Factors in a Eutrophic Lake[J].Lakes & Reservoirs:Research and Management,2004(9):195-201.

城区重度污染水体遥感识别研究

Remote Sensing Identification of Heavily Polluted Water in Urban Areas

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