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New Framework for Dynamic Water Environmental Capacity Estimation Integrating the Hydro-Environmental Model and Load–Duration Curve Method—A Case Study in Data-Scarce Luanhe River Basin

Author

Listed:
  • Huiyu Jin

    (Department of Environmental Science and Engineering, Fudan University, Shanghai 200433, China)

  • Wanqi Chen

    (Department of Environmental Science and Engineering, Fudan University, Shanghai 200433, China)

  • Zhenghong Zhao

    (Department of Environmental Science and Engineering, Fudan University, Shanghai 200433, China)

  • Jiajia Wang

    (Department of Environmental Science and Engineering, Fudan University, Shanghai 200433, China)

  • Weichun Ma

    (Department of Environmental Science and Engineering, Fudan University, Shanghai 200433, China
    Institute of Eco-Chongming (IEC), No. 3663 Northern Zhongshan Road, Shanghai 200062, China
    Shanghai Key Laboratory of Policy Simulation and Assessment for Ecology and Environment Governance, Shanghai 201804, China
    Institute of Digitalized Sustainable Transformation, Fudan University, Shanghai 200433, China)

Abstract

A better understanding of river capacity for contaminants (i.e., water environmental capacity, WEC) is essential for the reasonable utilization of water resources, providing government’s with guidance about sewage discharge management, and allocating investments for pollutant reduction. This paper applied a new framework integrating a modified hydro-environmental model, Soil and Water Assessment Tool (SWAT) model, and load–duration curve (LDC) method for the dynamic estimation of the NH 3 -N WEC of the data-scarce Luanhe River basin in China. The impact mechanisms of hydrological and temperature conditions on WEC are discussed. We found that 77% of the WEC was concentrated in 40% hydrological guarantee flow rates. While the increasing flow velocity promoted the pollutant decay rate, it shortened its traveling time in streams, eventually reducing the river WEC. The results suggest that the integrated framework combined the merits of the traditional LDC method and the mechanism model. Thus, the integrated framework dynamically presents the WEC’s spatiotemporal distribution under different hydrological regimes with fewer data. It can also be applied in multi-segment rivers to help managers identify hot spots for fragile water environmental regions and periods at the basin scale.

Suggested Citation

  • Huiyu Jin & Wanqi Chen & Zhenghong Zhao & Jiajia Wang & Weichun Ma, 2022. "New Framework for Dynamic Water Environmental Capacity Estimation Integrating the Hydro-Environmental Model and Load–Duration Curve Method—A Case Study in Data-Scarce Luanhe River Basin," IJERPH, MDPI, vol. 19(14), pages 1-23, July.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:14:p:8389-:d:859063
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    References listed on IDEAS

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    1. Ranran Li & Zhihong Zou, 2015. "Water Environmental Capacity Analysis of Taihu Lake and Parameter Estimation Based on the Integration of the Inverse Method and Bayesian Modeling," IJERPH, MDPI, vol. 12(10), pages 1-13, September.
    2. Kang, M.S. & Park, S.W. & Lee, J.J. & Yoo, K.H., 2006. "Applying SWAT for TMDL programs to a small watershed containing rice paddy fields," Agricultural Water Management, Elsevier, vol. 79(1), pages 72-92, January.
    3. Qiankun Liu & Jingang Jiang & Changwei Jing & Jiaguo Qi, 2018. "Spatial and Seasonal Dynamics of Water Environmental Capacity in Mountainous Rivers of the Southeastern Coast, China," IJERPH, MDPI, vol. 15(1), pages 1-21, January.
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