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加纳库马西市雨洪风险与脆弱性评估的地理空间方法

Geospatial approach to pluvial flood-risk and vulnerability assessment in Sunyani Municipality.

作者信息

Tetteh Aaron Tettey, Moomen Abdul-Wadood, Yevugah Lily Lisa, Tengnibuor Albert

机构信息

School of Mines and Built Environment, University of Energy and Natural Resources, Sunyani, Ghana.

Department of Geospatial Sciences, School of Geosciences, University of Energy and Natural Resources, Ghana.

出版信息

Heliyon. 2024 Sep 18;10(18):e38013. doi: 10.1016/j.heliyon.2024.e38013. eCollection 2024 Sep 30.

Abstract

Historically, and in recent times, efforts have been to understand, predict, analyze, and quantify floods and their impacts in various countries of the globe. Although recent scientific advances have introduced approaches to assessing the risks presented by flooding, little studies have been carried out in the Sunyani Municipality of Ghana for generating a pluvial flood-risk and vulnerability map for risk identification, resilience, emergency preparedness, and urban spatial planning. In this study, five parameters that influence both pluvial and fluvial flooding were assessed to map flood-prone areas within the Sunyani Municipality. These are precipitation, drainage density, LULC, elevation, and slope, which were integrated in GIS. Using an AHP, weights were assigned to each parameter based on its level of influence on flooding. The findings reveal that 21.32 % of the Sunyani Municipality lies within a highly flood-prone area, 39.65 % in a flood-prone area, while 28.06 % and 10.97 % in slightly flood-prone and not flood-prone areas respectively. Built-up areas close to watersheds with lower elevations and larger drainage density are the places that are highly flood-prone. Some towns within the highly flood-prone and flood-prone areas are Abesim, Newtown, Nkwarbeng, Baakoniaba, Kootokrom, and Penkwase. Highly valued infrastructure such as schools, churches, and hospitals have also been found within these highly flood-prone areas. These findings can aid the government and relevant stakeholders in disaster risk management to be better informed, and to effectively plan and prevent flood challenges in the Sunyani Municipality. Moreover, urban spatial planners in the study setting can consider incorporating the flood hazard maps generated from this study into their spatial plans for proactive physical developments.

摘要

从历史到近代,人们一直在努力了解、预测、分析和量化全球各国的洪水及其影响。尽管最近的科学进展引入了评估洪水风险的方法,但在加纳的苏尼亚尼市,为绘制雨洪风险和脆弱性地图以进行风险识别、恢复力建设、应急准备和城市空间规划而开展的研究却很少。在本研究中,评估了影响雨洪和河流洪水的五个参数,以绘制苏尼亚尼市内易发生洪水的区域。这些参数是降水、排水密度、土地利用/土地覆盖变化(LULC)、海拔和坡度,它们被整合到地理信息系统(GIS)中。使用层次分析法(AHP),根据每个参数对洪水的影响程度为其分配权重。研究结果显示,苏尼亚尼市21.32%的区域处于高洪水易发区,39.65%处于洪水易发区,而轻度洪水易发区和非洪水易发区分别占28.06%和10.97%。靠近海拔较低且排水密度较大的流域的建成区是洪水高易发区。高洪水易发区和洪水易发区内的一些城镇包括阿贝西姆、新城、恩夸本、巴科尼亚巴、库托克罗姆和彭夸塞。在这些高洪水易发区内还发现了学校、教堂和医院等高价值基础设施。这些研究结果有助于政府和相关利益攸关方在灾害风险管理方面更好地了解情况,并有效规划和预防苏尼亚尼市的洪水挑战。此外,研究区域内的城市空间规划者可以考虑将本研究生成的洪水灾害地图纳入其空间规划,以实现积极的实体发展。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9922/11459055/79a07ec34a5b/ga1.jpg

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