Search

Analysis on the Characteristics of Black and Odorous Water Body Indicators in Coal-based Cities: Taking Suzhou City as an Example

Author(s)

Yifan Sun, Yong Zhang*, Wei Su

Affiliation(s)

School of Environment and Surveying Engineering, Suzhou University, Suzhou, Anhui, China *Corresponding Author

Abstract

In this study, ten rivers in the main urban area of Suzhou City were selected for field sampling and comprehensive investigation. The single pollution index method and black‑odorous water evaluation model were applied to systematically analyze the pollution characteristics and current status of the water bodies. The results showed that ammonia nitrogen was the main pollutant in the rivers with the content of 1.6~31mg/L. The exceedance rate of sample points was 80% under the environmental quality standard of V water of GB3838-2002. The river black and odorous index is 0.23~29.17, and those belonging to heavy black odorous are Yunliang River, Huiyuan Ditch and Railway Transport, and those belonging to light black odorous are Sanba River, and the degree of black odorous pollution is Railway Transport > Yunliang River > Huiyuan Ditch > Sanba River > Long River > Sanba Ditch > Sumeng Ditch > Huancheng River > Tuo River > Huancheng Yinhe. Rivers within the Nemerow comprehensive water quality index black odorous index of 0.37 ~ 2.98, belonging to the heavy black odorous is the Sanba Ditch, Huiyuan Ditch, Sanba River, Railway Transport, belonging to the light black odorous is the Huancheng River, Yunliang River, Long River, Sumeng Dtich, the degree of black odorous pollution for the Saba River > Railway Transport > Sanba Ditch > Huiyuan Ditch > Long River > Yunliang River > Sumeng Ditch > Huancheng River > Huancheng Yinhe > Tuo River.

Keywords

Black and Odorous Water; Water Quality Indicators; Black Smelly Index Method; Suzhou City

References

[1] Chen Z H, Lan S X, Zhang J S, Zhang W, Li H D, Zhao L F. Reviews of Remote Sensing Monitoring of Urban Black and Odorous Water. Remote Sensing Technology and Application, 2025, 40(4): 909–922. [2] Lin P. Interpretation of Guidelines for the Remediation of Urban Black and Odorous Water Bodies. Construction Science and Technology, 2015(18): 14-15, 21. [3] Liang J C, Cheng G W, et al. Evaluation of black and odorous degree of main inland rivers in Nanning by black-odorous index method. Environmental Engineering, 2018, 36(9): 176–179. [4] Liu B, Li T H. Research on remote sensing identification methods of urban black and odorous water bodies with Gaofen images. Journal of Basic Science and Engineering, 2024, 32(2): 314–330. [5] Li J Y, Li W F, Meng J, et al. Evaluation and judgment criteria for black and odorous rivers in the central urban area of Tianjin. China Water Supply and Drainage, 2017, 33(19), 91-95. [6] Liang D S, Zeng L W, Sun D Z. Evaluation of Treatment Technologies for Black and Odorous Water Bodies in Rural Areas of the Yellow River Basin. Research of Environmental Sciences, 2025, 38(11): 2442–2452. [7] Pu M M, Wang L, et al. Analysis and Research on Black and Odorous Water Pollution of Suzhou Huancheng River. Modern Chemical Research, 2017(10): 63–67. [8] Liu R R, Gu N N, et al. Water Quality Assessment of Liuhe River Based on Single-Factor Standard Index Method. Journal of Jianghan University, 2019, 47(2): 139–144. [9] Yang Y, Ma X X, Shang X. Evaluation of black and odorous water in Wenruitang River of Wenzhou. Journal of Zhejiang Agricultural Sciences, 2012(4): 566–569. [10] Luo A Q, Chen H H, Zhang Y Y, Xiao P, Yang J. Identification of black and odorous water bodies and evaluation of their treatment effect in Wuhan. Engineering Journal of Wuhan University.2023, 56(8):1006-1012. [11] Gao C. Application research on treatment of black and odorous water bodies in urban river-lake water system based on rain-sewage diversion renovation. Environmental Protection and Circular Economy, 2025, 45(2): 48–52. [12] Wang L X, Xu Y H. Research on treatment measures of urban black and odorous water bodies. China Resources Comprehensive Utilization, 2024, 42(9): 274–276.