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Quantitative assessment of background pollutants using a modified method in data-poor regions

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Abstract

Heavy background pollutant loads pose a difficult problem for the assessment and management of regional water quality, especially in areas where surface water quality is less affected by anthropogenic pollution. Deducting background values from those derived from water quality monitoring is a new method for evaluating surface water environments in areas with heavy background loads. In this study, river source reserves in Heilongjiang province were evaluated with an export coefficient model (ECM) that considers the rainfall influence factor, has an improved timescale, and is based on synchronous rainfall monitoring data and concentrations. Moreover, the ECM was combined with a mechanism model. The chemical oxygen demand, ammonia nitrogen, and other water quality indices are affected by background environment, and therefore, suitable export coefficients for the study area were determined and a regression equation between the rainfall influence factor and precipitation was established. By combining the ECM and mechanism model, the concentrations entering the river during eight rainfall events in 2018 were predicted, and the background value was calculated to evaluate surface water quality. The predicted values were found to approximate the monitored values. Therefore, this study is of great significance for water quality assessment and management in areas with heavy background pollutant loads.

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Funding

This work was jointly supported by the IWHR Research and Development Support Program (Grant Nos. WE0145B052017).

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Authors and Affiliations

  1. Department of Water Environment, China Institute of Water Resources and Hydropower Research, Beijing, 100038, China

    Maoqing Duan, Xia Du, Wenqi Peng, Shijie Zhang & Yang Ding

  2. College of Hydrology and Water Resources, Hohai University, Nanjing, 210098, China

    Maoqing Duan & Cuiling Jiang

  3. State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing, 100038, China

    Xia Du, Wenqi Peng, Shijie Zhang & Yang Ding

Authors
  1. Maoqing Duan
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  2. Xia Du
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  3. Wenqi Peng
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  4. Cuiling Jiang
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  5. Shijie Zhang
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  6. Yang Ding
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Correspondence to Maoqing Duan.

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Duan, M., Du, X., Peng, W. et al. Quantitative assessment of background pollutants using a modified method in data-poor regions. Environ Monit Assess 192, 160 (2020). https://doi.org/10.1007/s10661-020-8122-8

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