Green infrastructure-based hydrological modelling, a comparison between different urban districts, through the case of Szeged, Hungary

IF 1.4 Q2 GEOGRAPHY Hungarian Geographical Bulletin Pub Date : 2021-12-13 DOI:10.15201/hungeobull.70.4.5
Á. K. Csete, Á. Gulyás
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引用次数: 2

Abstract

Because of the climate uncertainties caused by climate change and the growing urban areas, today’s cities face new environmental challenges. The impervious artificial elements change the urban water cycle. Urban districts with inadequate water infrastructure and treatment can be a major source of environmental risks, like urban flash floods. Modern cities need to be prepared for the changing environment in a sustainable way, which can be realised with the help of green infrastructure. The primary role of the green infrastructure is mitigation, such as surface runoff reduction and retainment. The aim of our research is to examine urban district scale data about the role of green infrastructure in urban water management. Hydrological models can provide adequate data about the surface runoff, infiltration and the mitigating effect of vegetation (interception and evaporation). We compared two significantly different urban districts (downtown and housing estate area), based on land cover and vegetation data. The analysis of the districts of Szeged (Hungary) suggests that the vegetation can significantly contribute to the reduction of surface runoff. Differences between these urban districts can be quantified, thus, these data can serve as a basis for urban water management planning processes.
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基于绿色基础设施的水文建模,通过匈牙利塞格德的案例对不同城市地区进行比较
由于气候变化和不断增长的城市地区造成的气候不确定性,今天的城市面临着新的环境挑战。不透水的人造元素改变了城市水循环。供水基础设施和处理不足的城市地区可能是环境风险的主要来源,如城市山洪暴发。现代城市需要以可持续的方式为不断变化的环境做好准备,这可以在绿色基础设施的帮助下实现。绿色基础设施的主要作用是缓解,如减少地表径流和保持地表径流。我们研究的目的是检验城市区域范围内关于绿色基础设施在城市水资源管理中作用的数据。水文模型可以提供关于地表径流、渗透和植被缓解作用(拦截和蒸发)的充分数据。根据土地覆盖和植被数据,我们比较了两个明显不同的城区(市中心和住宅区)。对塞格德(匈牙利)地区的分析表明,植被可以显著减少地表径流。这些城市区域之间的差异可以量化,因此,这些数据可以作为城市水管理规划过程的基础。
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来源期刊
Hungarian Geographical Bulletin
Hungarian Geographical Bulletin Social Sciences-Geography, Planning and Development
CiteScore
3.20
自引率
0.00%
发文量
24
审稿时长
24 weeks
期刊最新文献
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