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| DOI：10.13522/j.cnki.ggps.2019198 |
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| Origins and Estimation of the Pollutants in Main Rivers in Urban Area of Harbin |
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SONG Zihan, CUI Song, FU Qiang, GAO Qingfeng,LI Kunyang, GAO Shang, ZHAO Yanchao, JIA Zhaoyang
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1.International Joint Research Center for Persistent Toxic Substances (IJRC-PTS),School of Water Conservancy and Civil Engineering, Northeast Agricultural University, Harbin 150030, China；
2. Harbin Institute of Water Science and Research, Harbin 150090, China
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| Abstract: |
| 【Objective】This paper aims to estimate the pollutants and their origins in the rivers flowing through the main urban area of Harbin.【Method】There are four main rivers: Majia River, Hejia River, Yunliang River and Fasheng River across the urban area. Each river was divided into a number of control units based on their locations, hydrology, and regional economic development; we estimated COD, total nitrogen (TN) and total phosphorous (TP) in each unit using the source strength coefficient method. The pollutants entering the rivers were estimated by river influx coefficient based on the impact of the locations where the pollutants entered the river; Monte Carlo simulations were used to analyze the uncertainty of the estimation and its sensitivity to each parameter.【Result】The total annual discharge of COD, TN and TP in the rivers were 5 857.96, 2 479.62 and 340.96 t respectively, and their associated load to river pollution was 2 331.97, 624.00 and 64.50 t, respectively. The annual pollution load of COD, TN and TP was correlated with the measured data at significant level (p<0.01). Spatially, the degree of pollutant in different areas was ranked as suburban area > rural area > urban area (p<0.05). Disposed domestic wastes from the rural areas and non-point pollution in agriculture were the sources of the pollutants, accounting for 49% and 31% of the total pollutants respectively.【Conclusion】The pollution in the rivers in the urban area of Harbin was found mainly in the suburban areas, with most pollutants emanating from rural domestic wastes and agricultural fields. These results have important implications for river pollution controls in this area and beyond. |
| Key words: river influx coefficient; river pollution load; uncertainty and sensitivity analysis |
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