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通过集成 QUAL2K、GEFC 和 GIS 技术,在不同水情和污染情景下对河流水质进行制图和评估。

Mapping and assessment of river water quality under varying hydro-climatic and pollution scenarios by integrating QUAL2K, GEFC, and GIS.

机构信息

Hydroclimatic Research Group, Lab for Spatial Informatics, International Institute of Information Technology, Gachibowli, Hyderabad, Telangana, 500032, India.

Hydroclimatic Research Group, Lab for Spatial Informatics, International Institute of Information Technology, Gachibowli, Hyderabad, Telangana, 500032, India.

出版信息

Environ Res. 2023 Dec 15;239(Pt 1):117250. doi: 10.1016/j.envres.2023.117250. Epub 2023 Oct 4.

Abstract

Water quality modelling has proved to be effective method for managing river water quality. But the most effective and comprehensive approach involving integration of river water quality simulation and pollution visualization with the objective of pollution reduction and maintenance of environmental flow strategies has gained less attention. Thus, the objective of this study was to employ an integrated approach for mapping and analysing river water quality under various hydro-climatic and pollution scenarios. Specifically, this approach involved the integration of a river water quality simulation model, QUAL2K, Global Environmental Flow Calculator (GEFC), and Geographical Information System (GIS) to develop water quality index (WQI) based map charts of water quality. The calibrated QUAL2K model was utilized to simulate WQI parameters including water temperature, pH, electrical conductivity, dissolved oxygen (DO), biological oxygen demand (BOD), nitrates (NO), ammonia (NH), and alkalinity. To analyse the WQI, the Weighted Arithmetic-Water Quality Index (WA-WQI) method was employed for various individual and combined pollution scenarios, environmental flow (Eflow), and climate change scenarios. The developed integrated approach was applied to the Bhadravati segment of Bhadra River, India. The findings revealed that the prevailing WQI status of the study stretch ranged from poor to unsuitable for drinking purposes. This deterioration can be attributed to the impact of both industrial and municipal effluents. By maintaining the effective Environmental Management Class (EMC) flow rates (class C flowrate of EMC (40.32 m/s)) in conjunction with appropriate Pollution Reduction (PR) level (10% PR) at headwater and incoming drains, the stream self-purification capacity was enhanced resulting in the Bhadravati River stretch water quality transitioning to favourable water quality condition.

摘要

水质模型已被证明是管理河流水质的有效方法。但是,将河流水质模拟和污染可视化与减少污染和维护环境流策略相结合的最有效和全面的方法却没有得到太多关注。因此,本研究的目的是采用综合方法在各种水-气候和污染情景下对河流水质进行制图和分析。具体来说,这种方法涉及到将河流水质模拟模型 QUAL2K、全球环境流计算器 (GEFC) 和地理信息系统 (GIS) 集成在一起,以开发基于水质指数 (WQI) 的水质图图表。经过校准的 QUAL2K 模型用于模拟 WQI 参数,包括水温、pH 值、电导率、溶解氧 (DO)、生化需氧量 (BOD)、硝酸盐 (NO)、氨 (NH) 和碱度。为了分析 WQI,采用加权算术-水质指数 (WA-WQI) 方法对各种单一和综合污染情景、环境流 (Eflow) 和气候变化情景进行分析。所开发的综合方法应用于印度巴德拉河流域的巴德拉蒂段。研究结果表明,研究区域的现有 WQI 状况从较差到不适宜饮用不等。这种恶化可归因于工业和市政废水的双重影响。通过维持有效的环境管理类别 (EMC) 流量(EMC 的 C 类流量 (40.32 m/s))以及上游和来水渠的适当污染减少 (PR) 水平(10% PR),增强了溪流自净能力,使巴德拉蒂河的水质状况过渡到有利的水质条件。

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