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社区管理雨水收集的决策支持系统:以孟加拉国盐碱化沿海地区为例

Decision support system for community managed rainwater harvesting: A case study in the salinity-prone coastal region of Bangladesh.

作者信息

Saha Abir, Setu Salahuddin, Das Swadhin, Hossain Md Imran, Rahman Ahm Khalequr, Rahman Md Mafizur

机构信息

Department of Civil Engineering, Bangladesh University of Engineering and Technology, Dhaka, Bangladesh.

Department of Urban and Regional Planning, Khulna University of Engineering and Technology, Khulna, Bangladesh.

出版信息

Heliyon. 2024 May 3;10(9):e30455. doi: 10.1016/j.heliyon.2024.e30455. eCollection 2024 May 15.

DOI:10.1016/j.heliyon.2024.e30455
PMID:38774099
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11106838/
Abstract

Climate change-induced saline intrusion into both surface and groundwater, extreme weather events, and unregulated water usage are serious threats to the drinking water supply in coastal areas worldwide, especially in least-developed countries. This research developed a data-driven decision-making methodology to evaluate the performance of rainwater harvesting (RWH) systems in the saline-prone southwestern coastal region of Bangladesh. Twenty-five community managed RWH systems, recently piloted in two major coastal districts, were considered the case study to develop and validate this evaluation tool. The evaluation methodology integrates daily water models, lifetime cost analysis, Geographic Information System (GIS)-based parameters supported by the Analytical Hierarchy Process (AHP), and field observation. While the meteorological parameters as well as the hydrological and economic performance were found to be highly suitable, 36 % of the systems showed moderate performance, as challenges remain in ensuring proper operation and maintenance practices at the community level. However, 40 % of the systems showed high performance, with two systems showing very high suitability, which suggests community managed RWH systems as a sustainable adaptation for coastal water supply.

摘要

气候变化导致的海水入侵地表水和地下水、极端天气事件以及无节制的用水,对全球沿海地区,尤其是最不发达国家的饮用水供应构成严重威胁。本研究开发了一种数据驱动的决策方法,以评估孟加拉国西南部沿海易盐渍地区雨水收集(RWH)系统的性能。在两个主要沿海地区最近试点的25个社区管理的雨水收集系统被视为开发和验证该评估工具的案例研究。该评估方法整合了日用水模型、生命周期成本分析、基于地理信息系统(GIS)且由层次分析法(AHP)支持的参数以及实地观察。虽然气象参数以及水文和经济性能被发现非常合适,但36%的系统表现中等,因为在社区层面确保适当的运营和维护做法仍存在挑战。然而,40%的系统表现出色,有两个系统表现出非常高的适用性,这表明社区管理的雨水收集系统是沿海供水的一种可持续适应方式。

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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5739/11106838/c69fff433141/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5739/11106838/5822f491fb20/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5739/11106838/78db46524358/gr6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5739/11106838/a5bd4eec8399/gr7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5739/11106838/0b2e5744e76e/gr8.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5739/11106838/c7f9f5364586/gr10.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5739/11106838/89662cc8af3a/gr11.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5739/11106838/513d5681c2c5/gr12.jpg
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Groundwater salinization and associated co-contamination risk increase severe drinking water vulnerabilities in the southwestern coast of Bangladesh.
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