利用水文模拟和暴雨模型模拟集水区水质

IF 1.1 4区 工程技术 Q3 ENGINEERING, CIVIL
K. Jung, Yong-Hoon Jeong, In-Kyun Jung, Sufang Kang, S. Yoon, D. Kwak
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引用次数: 0

摘要

由于计算机技术的最新发展和全国积累的水文、土地利用、土壤特征、流量和水质监测数据,需要高水平的模拟结果。然而,由于大多数集水区混合了城市和农村地区,因此很难应用一种有效的模式。本研究将水文模拟程序应用于具有复杂土地利用特征的全州集水区的暴雨水管理模型,以确定集水区的水文循环,分析河流水质并检查排放污染物的结构。相关模型包括对污水管道的分析,这是城市地区水文和污染负荷的主要途径,一个低影响的发展应用,一个水循环改善技术和一个初步的雨水处理设施安装项目。该关联模型对指导未来城市水质政策具有重要意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Using hydrological simulation and a storm water model to simulate catchment water quality
Owing to the recent developments in computer technology and nationally accumulated hydrology, land use, soil characteristics, flow and water quality monitoring data, high-level modelling results are required. However, as most catchments have a mix of urban and rural areas, it is challenging to apply one effective model. This study applied a hydrological simulation programme to a storm water management model for the Jeonju catchment, which has complex land-use characteristics, to determine the hydrological cycle of the catchment, analyse the river water quality and examine the structure of discharge pollutants. The linked model includes an analysis of the sewer pipes, which are the main path of hydrology and pollution loads in urban areas, a low-impact development application, a water circulation improvement technique and an initial storm water treatment facility installation project. This linked model will be very useful for guiding future urban water quality policy.
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来源期刊
CiteScore
2.10
自引率
0.00%
发文量
28
审稿时长
6-12 weeks
期刊介绍: Water Management publishes papers on all aspects of water treatment, water supply, river, wetland and catchment management, inland waterways and urban regeneration. Topics covered: applied fluid dynamics and water (including supply, treatment and sewerage) and river engineering; together with the increasingly important fields of wetland and catchment management, groundwater and contaminated land, waterfront development and urban regeneration. The scope also covers hydroinformatics tools, risk and uncertainty methods, as well as environmental, social and economic issues relating to sustainable development.
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