[1] STATE COUNCIL. Water Pollution Prevention and Control Action Plan. https：//www.gov.cn/zhengce/content/2015-04/16/content_9613.htm

[2] JI Xiaoyan, HOU Huanhuan, WANG Shanshan et al. Recent characteristics of surface water quality changes in China. Environmental Science, 43, 4419-4429(2022).

[3] LIN Tao, YU Haiqing, WANG Qing et al. Surface water quality assessment based on the Integrated Water Quality Index in the Maozhou River basin， Guangdong， China. Environmental Earth Sciences, 80, 1-12(2021).

[4] SHENZHEN MUNICIPAL GOVERNMENT. Shenzhen Takes the Lead in Eliminating Black and Odorous Water Bodies Citywide. http：∥www.sz.gov.cn/cn/xxgk/zfxxgj/zwdt/content/post_10032661.html

[5] GENERAL OFFICE OF THE PEOPLE’S GOVERNMENT OF GUANGDONG PROVINCE. Notice of the People’s Government of Guangdong Province on Issuing the Implementation Plan for the Water Pollution Prevention and Control Action Plan in Guangdong Province. http：∥www.gd.gov.cn/gkmlpt/content/0/144/post_144639.html#7

[6] YAO Yue, SHEN Qian, ZHU Li et al. Remote sensing identification of black and odorous water in Shenyang City based on GF-2 satellite. Journal of Remote Sensing, 23, 13(2019).

[7] CAO Hongye. Optical characteristics analysis and remote sensing identification model of black and odorous water in typical Chinese cities(2017).

[8] SHANG Fangze, JIA Juanhua, LI Bing et al. Research on the treatment of small black-odorous water bodies based on FBR biological circulating bed. Environmental Science & Technology, 44, 259-265(2021).

[9] SADO-INAMURA Y, FUKUSHI K. Considering water quality of urban rivers from the perspectives of unpleasant odor. Sustainability, 10, 650(2018).

[10] WANG Xu, WANG Yonggang, SUN Changhong et al. Research progress on formation mechanism and evaluation methods of urban black-odorous water. Chinese Journal of Applied Ecology, 27, 1331-1340(2016).

[11] CRINI G, LICHTFOUSE E. Wastewater treatment： an overview. Green Adsorbents for Pollutant Removal： Fundamentals and Design, 1-21(2018).

[12] CHEN C X, YANG F J, DENG Y Y et al. Optimization of constructed wetlands on purifying black-odorous water and their potential purification mechanism. Water Science and Technology, 86(2022).

[13] LIU M S, LI T T, WANG Z C et al. Effect of aeration on water quality and sediment humus in rural black-odorous water. Journal of Environmental Management, 320(2022).

[14] YU S B, HANG C, HUANG Y B et al. Case study of the in-situ restoration of black-odorous water by combined process of forced aeration and biological contact oxidation. Water Science and Technology, 85, 827-838(2022).

[15] LI P, YE J F, ZHANG W C et al. The blackening process of black-odor water： Substance types determination and crucial roles analysis. Journal of Hazardous Materials(2022).

[16] FU Yishun, SUN Yanhan, TAN Lin et al. Analysis of the causes and countermeasures for urban black-odorous water bodies, 5(2021).

[17] LIU Xiaoling, XU Yaoyao, SONG Chen et al. Analysis of treatment technologies and measures for urban black-odorous water bodies. Chinese Journal of Environmental Engineering, 519-529(2019).

[18] WANG Zhongzhi. Construction and application of early warning methods for urban black-odorous water bodies(2023).

[19] MA Ying, DING Yan, QIAN Binjie et al. Research on evaluation methods for urban black-odorous water bodies. Shanxi Architecture, 44, 187-189(2018).

[20] HUA Guochun. Study on the formation mechanism and early warning evaluation methods of black-odorous water bodies(2021).

[21] YU Xin, CHEN Tianan. Simple evaluation method for river black-odor pollution. Environmental Science and Management, 40, 176-179(2015).

[22] CHENG Z H, ZHANG Q. Exploration on water environment control scheme of black and odorous water body in Houhai River Basin. IOP Conference Series： Earth and Environmental Science, 781, DOI：10.1088/1755-1315/781/3/032060(2021).

[23] WANG F Y, HU H Y, LUO Y R et al. Monitoring of urban black-odor water using UAV multispectral data based on extreme gradient boosting. Water, 14, 3354(2022).

[24] QI Keke, SHEN Qian, LUO Xiaojun et al. Remote sensing hierarchical identification of black-odorous water in Shenyang City based on GF-2 images. Remote Sensing Technology and Application, 35, 424-434(2020).

[25] ZHOU X Y, HUANG Z Q, WAN Y H et al. A new method for continuous monitoring of black and odorous water body using evaluation parameters： A case study in Baoding. Remote Sensing, 14, 374(2022).

[26] ZHANG X, LI J G, HU Y Y et al. Study on the spectral characteristics of black-odorous water： A case study of Shenzhen City， China. International Journal of Remote Sensing, 42(2021).

[27] YANG Y, XIAN C F, CHAO Z et al. Urban black and odorous water body mapping from Gaofen-2 images. Open Geosciences, 14, 1190-1205(2022).

[28] ZHANG Xue, LAI Jibao, LI Jiaguo et al. Remote sensing identification of black-odorous water in Shenzhen City based on GF-1 images. Science Technology and Engineering, 19, 268-274(2019).

[29] JI Gang. Research and application of remote sensing-based identification methods for black-odorous water bodies(2017).

[30] SHEN Qian, ZHU Li, CAO Hongye. Research progress on remote sensing monitoring and screening of urban black-odorous water bodies. Chinese Journal of Applied Ecology, 28, 3433-3439(2017).

[31] LI Jiaqi, LI Jiaguo, ZHU Li et al. Remote sensing identification and ground verification of black-odorous water in Taiyuan City. Journal of Remote Sensing, 23, 773-784(2019).

[32] YU Z F, HUANG Q Y, PENG X X et al. Comparative study on recognition models of blackodorous water in Hangzhou based on GF-2 satellite data. Sensors （Basel， Switzerland）, 22(2022).

[33] WU Shihong. Research progress on key technologies of remote sensing monitoring for urban black-odorous water bodies. Chinese Journal of Environmental Engineering, 13, 1261-1271(2019).

[34] WEN Shuang, LI Yunmei, ZHU Li et al. Remote sensing identification of urban black-odorous water based on high-resolution images： A case study of Nanjing. Environmental Science, 39, 57-67(2018).

[35] ZHAO Qian. Construction of evaluation model and pollution tracing research for black-odorous water bodies in Guangzhou City(2021).

[36] DING Xiaolei, LI Yunmei, Heng LYU et al. Analysis of absorption characteristics of urban black-odorous water bodies. Environmental Science, 39, 4519-4529(2018).

[37] DONG Xuxin, ZHAO Qichao, LI Jiaguo et al. Construction and application of CART model for remote sensing identification of black-odorous water bodies. Remote Sensing Information, 37, 63-69(2022).

[38] SHAO Huxiang. Research on remote sensing extraction of black-odorous water bodies based on deep learning(2021).

[39] HU Guoqing. Research on remote sensing monitoring of black-odorous water bodies based on deep learning(2021).

[40] MAIRIABA Tuerxun, LIU Zhenyu, ZHAO Wenjing et al. UAV hyperspectral remote sensing identification of urban black-odorous water bodies. Journal of South-Central Minzu University （Natural Science Edition）, 41, 668-675(2022).

[41] QU Liqin, YAN Lijuan, AN Yingyu et al. Identification of black-odorous water in terminal river networks based on multispectral UAV, 8(2020).

[42] DING Yishan. Research on risk management and performance evaluation of black-odorous water treatment projects under PPP mode(2019).

[43] PINGSHAN DISTRICT PEOPLE'S GOVERNMENT. Overview of water resources. http：//www.szpsq.gov.cn/zwgk/zwzt/pssthjswzt/hhzzgz/jsgzjj/content/post_10519221.html

[44] SHENZHEN MUNICIPAL BUREAU OF STATISTICS. Statistical bulletin of Shenzhen's national economic and social development in 2021. https：//tjgb.hongheiku.com/djs/26979.html

[45] ZHANG Jian. Research on water pollution control strategies in Shenzhen City(2020).

[47] ALI I M, DIRAWAN D G, HASIM H A et al. Detection of changes in surface water bodies urban area with NDWI and MNDWI methods. International Journal on Advanced Science， Engineering and Information Technology, 9, 946(2019).

[48] YUTTHANA P, EKASIT K. Revision of Vajiralongkorn Dam’s reservoir characteristic curves using NDWI derived from Landsat 8 data. The Environment and Natural Resou-rces Journal, 18(2020).

[50] ZHANG Chun, GE Yi, REN Yue et al. Remote sensing identification of duckweed-type rural black-odorous water based on optimized DeeplabV3+ network and high-resolution image segmentation. Remote Sensing Technology and Application, 38, 1433-1444(2023).

[51] FU Li, LIU Ge, SONG Kaishan et al. Optical characteristics analysis and remote sensing identification of black-odorous water in typical rural areas. Remote Sensing Technology and Application, 39, 1064-1074(2024).

[52] WANG Ru, SHEN Qian, PENG Hongchun et al. Applicability study of multi-source high-resolution satellite images for monitoring black-odorous water bodies. Journal of Remote Sensing, 26, 179-192(2022).

[53] HU Chengyu, ZHANG Yuanjun, DU Huan et al. Research on monitoring black-odorous water in Chengdu based on satellite remote sensing images. Sichuan Environment, 42, 153-159(2023).

[54] SONG Mengmeng, WANG Chunyan, HUANG Qiang et al. Remote sensing monitoring of urban black-odorous water in Deyang City based on GF-2 images. Leather Manufacture and Environmental Technology, 5, 78-80(2024).

[55] LIU Bing, LI Tianhong. Research on remote sensing identification method of urban black-odorous water based on high-resolution images. Journal of Applied Basic and Engineering Sciences, 32, 314-330(2024).