Remote Sensing Technology and Application, Volume. 40, Issue 2, 308(2025)
Analysis of the Black-Odorous Water Remediation in Shenzhen City and Its Relationship with Industries: A Case Study from 2013 to 2023
Figures & Tables(14)
Fig. 3. The field verification points for black and odorous water in Shenzhen in 2017 and 2023
Fig. 4. The verified results of black and odorous water in Shenzhen
Fig. 6. Change of total length and area of black and odorous water in Shenzhen from 2013
Fig. 7. Rapid growth phase spatial distribution of black and odorous water
Fig. 8. The spatial distribution of black and odorous water during the remediation phase
Fig. 9. The correlation between the length and area of black and odorous water with social and economic factors in Shenzhen
Fig. 10. The three major industries， the proportion of black and odorous water and the number of non-registered residents in each jurisdiction
Table 1.
Imaging parameters of GF1， GF2 and GF6 PMS View tableView in ArticleTable 1.
Imaging parameters of GF1， GF2 and GF6 PMS 卫星 空间分辨率/m 幅宽
/km
回归周期
/d
波谱范围/nm 全色 多光谱 GF1 2 8 70（2台） 41 全色：450~900
Band 1(蓝)：450~520
Band 2(绿)：520~590
Band 3(红)：630~690
Band 4(近红外):
770~890
GF2 1 4 45（2台） 69 GF6 2 8 90 41
Table 2.
Identification model for black and odorous water bodies View tableView in ArticleTable 2.
Identification model for black and odorous water bodies 模型 公式 阈值 单波段法[ 34 ]黑臭水体：
一般水体：
差值法HCI2[ 29 ]一般水体：
黑臭水体：
比值法HCI4[ 29 ]一般水体：
黑臭水体：
比值法WCI[ 31 ]黑臭水体：
一般水体：
Table 3.
Discrimination criteria of physical and chemical indexes of black and odorous water View tableView in ArticleTable 3.
Discrimination criteria of physical and chemical indexes of black and odorous water 特征指标（单位） 一般水体 轻度黑臭 重度黑臭 透明度（cm） >25 25~10* <10* 溶解氧（mg/L） >2.0 0.2~2.0 <0.2 氧化还原点位（mV） >50 -200~50 <-200 氨氮（mg/L） <8.0 8.0~15 >15
Table 4.
The verification results for 2017 and 2023 View tableView in ArticleTable 4.
The verification results for 2017 and 2023 模型 单波段 差值(HCI2) 比值(HCI4) WCI 2017年验证精度 62.0% 67.4% 72.8% 73.9% 2023年验证精度 69.7% 72.7% 75.8% 81.8%
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Shenghua HUANG, Yong XIE, Jiaguo LI, Ning ZHANG, Liuzhong YANG, Tao YU, Xingfeng CHEN, Jiaqi LI. Analysis of the Black-Odorous Water Remediation in Shenzhen City and Its Relationship with Industries: A Case Study from 2013 to 2023[J]. Remote Sensing Technology and Application, 2025, 40(2): 308
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Received: Dec. 11, 2023
Accepted: --
Published Online: May. 23, 2025
The Author Email: Yong XIE (xieyong@nuist.edu.cn)
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