Study on the Spectral Characteristics of Black-Odorous Water: A Case Study of Shenzhen City, China
Study on the Spectral Characteristics of Black-Odorous Water: A Case Study of Shenzhen City, China
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DOI：
10.1080/01431161.2020.1871096
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发表时间：
2021-05
影响因子：
3.4
通讯作者：
Xue Zhang;Jiaguo Li;Yanyang Hu;Li Zhu;Ningdan Zhang
中科院分区：
文献类型：
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作者：
Xue Zhang;Jiaguo Li;Yanyang Hu;Li Zhu;Ningdan Zhang
摘要城市沃茨黑臭是一个普遍存在的问题，具有偶发性、季节性和常年性的规律。城市污水处理已成为我国水资源管理者的重要任务。以深圳市实测的13种水质参数和BOW光谱数据为基础，对归一化谱、差分谱和比值谱等3种光谱数据进行处理，揭示了光谱数据与水质参数之间的相关性，特别是光谱数据与BOW的4个判别指标之间的相关性。这四个指标包括Secchi深度（SD）、溶解氧（DO）、氧化还原电位（ORP）和氨氮（NH3-N）。进一步分析了不同水质参数的光谱敏感性，建立了水质参数与纵向光谱之间的定量回归模型。结果表明：（1）4项指标中，SD和NH3-N均与轻度和重度BOW谱显著相关，ORP仅与重度BOW谱显著相关。DO与BOW的相关性不显著。(2)对于轻度BOW，SD的敏感谱带为404至572 nm和704至864 nm，NH3-N的敏感谱带为705至717 nm。对于重度BOW，SD为499至606 nm和730至900 nm，NH3-N为556至664 nm，ORP为642至709 nm。(3)SD与BOW光谱的相关性最强。在404 ~ 572 nm范围内，在489 nm附近，SD与BOW光谱的相关性呈对称分布，而在499 ~ 606 nm范围内，545 nm则以545 nm为中心。(4)SD与BOW之间的最佳回归关系分别为R489/R714（决定系数R2 = 0.8806）和R545（R2 = 0.4868）。NH3-N与轻度BOW的回归关系为R489-R607（R2 = 0.7598）。研究结果对城市BOW遥感的波段选择、模型构建和结果验证具有重要的指导意义和应用价值。
ABSTRACT The occurrence of black-odorous water (BOW) in urban waters is a common problem in China that has occasional, seasonal, and perennial rules. The treatment of urban has become an important task for water managers in China. Based on field BOW spectra and 13 types of water quality parameters measured in Shenzhen City, in this study, we processed three types of spectra, including normalized, difference, and ratio spectra, to reveal the correlation between the spectra and the water quality parameters, especially for the spectra and four indicators that are used to distinguish BOW. The four indicators include Secchi depth (SD), dissolved oxygen (DO), oxidation-reduction potential (ORP), and ammonia nitrogen (NH3-N). Furthermore, we analysed the spectral sensitivity of the different water quality parameters to build a quantitative regression model between the water quality parameters and the portrait spectrum. The results showed the following: (1) Of the four indicators, both SD and NH3-N were significantly related to the spectrum of mild and severe BOW, and the ORP was only significantly related to the spectrum of severe BOW. The correlation between DO and BOW was not significant. (2) For mild BOW, the sensitive bands were 404 to 572 nm and 704 to 864 nm for the SD and 705 to 717 nm for NH3-N. For severe BOW, they were 499 to 606 nm and 730 to 900 nm for the SD, 556 to 664 nm for NH3-N, and 642 to 709 nm for the ORP. (3) The SD had the strongest correlation with the BOW spectrum. The correlation between the SD and the BOW spectrum was symmetrically distributed in the range of 404 to 572 nm near 489 nm, whereas 545 nm appeared as the centre in the range of 499 to 606 nm. (4) The best regression relationship between the SD and BOW was R 489/ R 714 (coefficient of determination R 2 = 0.8806) and R 545 (R 2 = 0.4868) for the mild and severe grades, respectively. The best regression relationship was R 489- R 607 (R 2 = 0.7598) between NH3-N and mild BOW. The results of this study provide important guidance significance and application value regarding the selection of bands, model construction, and result verification for urban BOW using remote sensing.