基于高分一号影像的深圳市黑臭水体遥感识别
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摘要
城市黑臭水体空间分布的精准识别对准确和全面治理黑臭水体具有重要意义。针对当前黑臭水体遥感识别主要的模型算法,包括单波段法、差值法、比值法、黑臭水体模型判别指数法(HCI),结合地面试验测量数据对其进行阈值修正,从修订后的算法中选取精度最高的差值算法对2017年深圳市黑臭水体空间分布进行识别并计算识别精度。结果表明:深圳市建成区内共识别黑臭河段26条,总长度128. 409 km。深圳市黑臭水体主要分布在宝安区和龙岗区,且宝安区数量大于龙岗区。其中,宝安区的黑臭水体长度为100. 789 km,占该区水体的25. 92%;龙岗区的长度为27. 620 km,占该区水体的22. 04%。黑臭水体遥感识别在城市黑臭水体识别中具有较高的应用价值,为城市黑臭水体整治提供技术与数据支撑。
Accurate identification of spatial distribution of urban black-odor water bodies is of great significance for accurate and comprehensive treatment of black-odor water bodies. Aiming at the main model algorithm of current black-odor water bodies remote sensing recognition,including single band method,difference method,ratio method,discriminant index method for black-odor water bodies( HCI),and combined with the ground test data to revise the threshold. The highest precision difference algorithm is selected from the revised algorithm to identify the spatial distribution of the Shenzhen black-odor water bodies in 2017 and calculate the accuracy of the recognition.The results show that: 26 black-odor river sections are identified in the built-up area of Shenzhen and the entire length is 128. 409 km. The black-odor water bodies in Shenzhen are mainly distributed in Baoan and Longgang District,and the quantity of Baoan District is larger than that of Longgang. Among them,the length of black-odor water bodies is 100. 789 km in Baoan District,accounting for 25. 92% of the total water bodies in the area. The length of the Longgang District is 27. 620 km,accounting for 22. 04% of the water bodies in the area. Remote sensing identification of black-odor water has a high application value in the identification of urban black-odor water,which provides technical and data support for the treatment of urban black-odor water.
Accurate identification of spatial distribution of urban black-odor water bodies is of great significance for accurate and comprehensive treatment of black-odor water bodies. Aiming at the main model algorithm of current black-odor water bodies remote sensing recognition,including single band method,difference method,ratio method,discriminant index method for black-odor water bodies( HCI),and combined with the ground test data to revise the threshold. The highest precision difference algorithm is selected from the revised algorithm to identify the spatial distribution of the Shenzhen black-odor water bodies in 2017 and calculate the accuracy of the recognition.The results show that: 26 black-odor river sections are identified in the built-up area of Shenzhen and the entire length is 128. 409 km. The black-odor water bodies in Shenzhen are mainly distributed in Baoan and Longgang District,and the quantity of Baoan District is larger than that of Longgang. Among them,the length of black-odor water bodies is 100. 789 km in Baoan District,accounting for 25. 92% of the total water bodies in the area. The length of the Longgang District is 27. 620 km,accounting for 22. 04% of the water bodies in the area. Remote sensing identification of black-odor water has a high application value in the identification of urban black-odor water,which provides technical and data support for the treatment of urban black-odor water.
引文
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15 杨永刚,崔宁博,胡笑涛,等.中国三大灌区参考作物蒸散量温度法模型的修订与适应性评价[J].中国农业气象,2018,39(6):357-369Yang Yonggang,Cui Ningbo,Hu Xiaotao,et al. Revision and adaptability evaluation of temperature-based methods for reference crop evapotranspiration in the three irrigation districts of China[J].Chinese Journal of Agrometeorology,2018,39(6):357-369
16 李晨,崔宁博,冯禹,等.四川省不同区域参考作物蒸散量计算方法的适用性评价[J].农业工程学报,2016,32(4):127-134Li Chen,Cui Ningbo,Feng Yu,et al. Adaptation evaluation for reference evapotranspiration methods in different regions of Sichuan[J]. Transactions of the Chinese Society of Agricultural Engineering,2016,32(4):127-134
2 徐敏,姚瑞华,宋玲玲,等.我国城市水体黑臭治理的基本思路研究[J].中国环境管理,2015,7(2):74-78Xu Ming,Yao Ruihua,Song Lingling,et al. Primary exploration of general plan of the urban black-odor river treatment in China[J].Chinese Journal of Environmental Management,2015,7(2):74-78
3 杨卓,陈婧,苗利军,等.北戴河新区减河水环境污染现状及评价研究[J].科学技术与工程,2013,13(23):6970-6974Yang Zhuo,Chen Jing,Miao Lijun,et al. The research of the status and evaluation of water environment pollution in Jian River in Beidaihe New District[J]. Science Technology and Engineering,2013,13(23):6970-6974
4 于玉彬,黄勇.城市河流黑臭原因及机理的研究进展[J].环境科技,2010,23(增刊2):111-114Yu Yubin,Huang Yong. Review of reason and mechanism of black and stink in urban rivers[J]. Environmental Science and Technology,2010,23(S2):111-114
5 陈玉辉.典型城市黑臭河道治理后的富营养化分析与预测研究[D].上海:华东师范大学,2013Chen Yuhui. Analysis and prediction of eutrophication of typical urban malodorous-black river after treating[D]. Shanghai:East China Normal University,2013
6 王莉君,吴思麟.南京黑臭河道底泥污染特征及评价[J].科学技术与工程,2018,18(3):117-122Wang Lijun,Wu Silin. Pollution characteristics and contamination assessment of sediment from black-odor rivers in Nanjing City[J].Science Technology and Engineering,2018,18(3):117-122
7 Noblet J,Schweitzer L,Ibrahim E,et al. Evaluation of a taste and odor incident on the Ohio River[J]. Water Science&Technology,1999,40(6):185-193
8 Defoer N,De B I,Van L H,et al. Gas chromatography-mass spectrometry as a tool for estimating odour concentrations of biofilter effluents at aerobic composting and rendering plants[J]. Journal of Chromatography A,2002,970:259-273
9 Müezzinoglu A,Sponza D,Ken I K,et al. Hydrogen sulfide and odor control in Izmir Bay[J]. Water Air&Soil Pollution,2000,123:245-257
10 Watts S F. The mass budgets of carbonyl sulfide,dimethyl sulfide,carbon disulfide and hydrogen sulfide[J]. Atmospheric Environment,2000,34(5):761-779
11 纪刚.基于遥感的黑臭水体识别方法研究及应用[D].兰州:兰州交通大学,2016Ji Gang. Research and application on black and odorous water body by remote sensing[D]. Lanzhou:Lanzhou Jiaotong University,2016
12 温爽,王桥,李云梅,等.基于高分影像的城市黑臭水体遥感识别:以南京为例[J].环境科学,2018,39(1):57-67Wen Shuang,Wang Qiao,Li Yunmei,et al. Remote sensing identification of urban black-odor water bodies based on high-resolution image:A case study of Nanjing[J]. Environmental Science,2018,39(1):57-67
13 曹红业.中国典型城市黑臭水体光学特性分析及遥感识别模型研究[D].成都:西南交通大学,2017Cao Hongye. Study on analysis of optical properties and remote sensing identifiable models of black and malodorous water in typical cities in China[D]. Chengdu:Southwest Jiaotong University,2017
14 靳海霞,潘健.基于高分二号卫星融合数据的城镇黑臭水体遥感监测研究[J].国土资源科技管理,2017,34(4):107-117Jin Haixia,Pan Jian. Urban black-odor water body remote sensing monitoring based on GF-2 satellite data fusion[J]. Scientific and Technological Management of Land and Resources,2017,34(4):107-117
15 杨永刚,崔宁博,胡笑涛,等.中国三大灌区参考作物蒸散量温度法模型的修订与适应性评价[J].中国农业气象,2018,39(6):357-369Yang Yonggang,Cui Ningbo,Hu Xiaotao,et al. Revision and adaptability evaluation of temperature-based methods for reference crop evapotranspiration in the three irrigation districts of China[J].Chinese Journal of Agrometeorology,2018,39(6):357-369
16 李晨,崔宁博,冯禹,等.四川省不同区域参考作物蒸散量计算方法的适用性评价[J].农业工程学报,2016,32(4):127-134Li Chen,Cui Ningbo,Feng Yu,et al. Adaptation evaluation for reference evapotranspiration methods in different regions of Sichuan[J]. Transactions of the Chinese Society of Agricultural Engineering,2016,32(4):127-134