4.5 Article

Key criteria for considering decentralization in municipal wastewater management

期刊

HELIYON
卷 7, 期 3, 页码 -

出版社

ELSEVIER SCI LTD
DOI: 10.1016/j.heliyon.2021.e06375

关键词

Wastewater treatment systems; Decentralized systems; Multicriteria analysis; Centralization level; System resilience; Natural wastewater treatment technologies

资金

  1. Universidad Santiago de Cali

向作者/读者索取更多资源

Wastewater pollution issues are linked to population growth and urbanization. Currently, 2.4 billion people lack access to improved sanitation facilities, with 946 million practicing open defecation. Decentralized wastewater treatment systems offer a viable alternative for minimizing environmental impacts, promoting resource recovery, and providing basic sanitation for rural and peri-urban populations.
Wastewater pollution problems are associated with population growth and the concentration of population in large urban centers. According to United Nations projections for 2050, the world population will reach 9 billion people, increasing the pressures on water resources due to their demand and pollution. Based on UNICEF and World Health Organization estimates, 2.4 billion people worldwide currently lack access to improved sanitation facilities, with 946 million practicing open defecation. Decentralized wastewater treatment systems are a viable and necessary alternative for wastewater management, thus, minimizing environmental impacts, facilitating resource recovery, and providing rural and peri-urban inhabitants with access to basic sanitation. This literature review article uses the multicriteria analysis tool to present the key economic, institutional, social, environmental, and technological aspects, criteria, and indicators that must be considered for successful decentralized system implementation planning to strengthen basic sanitation service coverage in the rural and peri-urban areas where it does not exist.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.5
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据