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

• Published in: International journal of environmental research and public health 2022-07, Vol.19 (14), p.8389
• Main Authors: Jin, Huiyu, Chen, Wanqi, Zhao, Zhenghong, Wang, Jiajia, Ma, Weichun
• Format: Article
• Language: English
• Subjects: Ammonia; Case studies; Contaminants; Decay rate; Developing countries; Environmental modeling; Environmental protection; Flow velocity; Hydrologic models; Hydrologic regime; Hydrology; LDCs; Load; Methods; Pollutants; Pollution; Pollution control; River basins; Rivers; Sewage; Soil contamination; Soil water; Spatial distribution; Streams; Temporal distribution; Travel time; Waste management; Water pollution; Water quality; Water resources
• ISSN: 1660-4601; 1661-7827; 1660-4601
• DOI: 10.3390/ijerph19148389

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 NH3-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.