سابِق|تال

Remote sensing identification and validation of urban black and odorous water in Taiyuan city

  • role： First author第一作者
  • Affiliation：

    Institute of Remote Sensing Application and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China

    College of Geoscience and Surveying Engineering, China University of Mining & Technology (Beijing), Beijing 100083, China

  • Email：lijiaqi_wrs@163.com
  • Introduction：李佳琦，1994年生，女，硕士研究生，研究方向为水环境遥感监测应用。E-mail：lijiaqi_wrs@163.com
LI Jiaqi12,  
  • role： Corresponding author通信作者
  • Affiliation：

    Institute of Remote Sensing Application and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China

  • Email：jacoli@126.com
  • Introduction：李家国，1982年生，男，副研究员，研究方向为传感器辐射定标与校正、水环境遥感监测、遥感大数据快速处理。E-mail：jacoli@126.com
LI Jiaguo1*,  
  • Affiliation：

    Satellite Environment Center, Ministry of Environmental Protection, Beijing 100094, China

ZHU Li3,  
  • Affiliation：

    Institute of Remote Sensing Application and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China

SHEN Qian1,  
  • Affiliation：

    College of Geoscience and Surveying Engineering, China University of Mining & Technology (Beijing), Beijing 100083, China

DAI Huayang2,  
  • Affiliation：

    Institute of Remote Sensing Application and Digital Earth, Chinese Academy of Sciences, Beijing 100101, China

    College of Geoscience and Surveying Engineering, China University of Mining & Technology (Beijing), Beijing 100083, China

ZHU Yunfang12

ملخص

Treatment of urban black and odorous water is important in the control of urban water environment. A remote sensing recognition model of black and odorous water bodies was constructed in this study to identify the affected water bodies for treatment, determine their location, and investigate their space distribution. On the basis of the analysis of formation mechanism of black and odorous water and test data, we constructed a spectrum index called water cleanliness index (WCI) from spectrum characteristics to reflect water cleanliness. We also established interpretation signs from image characteristics, such as water color, secondary environment, river silting, and riparian garbage stacking. Combination of the spectral index and interpretation signs could be used to identify black and odorous water bodies. The proposed method was used to identify the space distribution of black and odorous water bodies in the built-up area of Taiyuan. A total of 14 black and odorous river sections with a length of 52.530 km were obtained. The point accuracy of remote sensing identification of black and odorous water bodies was 92.86%, and the river accuracy of remote sensing identification of black and odorous water bodies was 78.19% without the effects of dried-up rivers. The weights of the spectral index and interpretation signs in the remote sensing identification of black and odorous water bodies were analyzed on the basis of the results of black and odorous river sections. The spectral index and water color had the largest weights among them with 29.60% and 27.10%, respectively. Both of them constituted the main characteristics of remote sensing identification of black and odorous water bodies. Comparison of the results of the two-phase remote sensing image recognition showed that WCI could significantly reflect the change characteristics of black and odorous water bodies. Therefore, this method has high precision in recognizing urban black and odorous water bodies by remote sensing and can be applied in the control of urban water environment.

مفهوم

black and odorous water;remote sensing identification;water cleanliness index;interpretation symbol;Taiyuan city;WCI

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