Assessing Sustainability in Rural Water Supply Systems in Developing Countries Using a Novel Tool Based on Multi-Criteria Analysis

Domínguez, Isabel; Oviedo-Ocaña, Édgar Ricardo; Hurtado, K.; Barón, Andrés; Hall, Ralph P.

doi:10.3390/su11195363

Cited by 27 publications

(26 citation statements)

References 44 publications

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“…In order to overcome this issue, the application of multi-criteria analysis concerning the evaluation of sustainability in rural water supply systems considered semi-structured interviews, social mapping, technical and household surveys, and water monitoring. For example, Domínguez et al (2019) applied Multi-Attribute Theory using the Analytic Hierarchy Process (AHP) on a rural water supply system for assessing multiple communities' direct influence and sustainability. The conclusive remarks of their study highlighted the gravity of incorporating multiple attributes into a single aspect besides evaluating the sustainability of the rural water supply system.…”

Section: Assessment Of Water Systems Through Different Applicationsmentioning

confidence: 99%

Assessment of sustainability index for rural water management using ANN

Kumar

Gupta

2021

Water Supply

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The current study proposes a sustainability index (SI) measure based on artificial neural networks (ANN) and globally accepted parameters. Some of the available methods for SI measurement are multi-criteria analysis, external costs, energy analysis, and ecological footprint methods. However, validity remains a concern due to a system's needs, criteria, and requirements. Generally, sustainability is assessed in economic, environmental, and social issues, which varies across regions and countries. Most of the studies accept sub-indices but to a limited extent. Therefore, the proposed study develops an SI evaluation method based on the idea of multi-sustainability incorporating operations, institutions, risks, and climate factors besides economic, environmental, and social issues. All these issues might not be applicable to a single project but may help to develop a complete index when applied. The present study considered different scenarios in building a method to calculate SI using ANN. The results obtained by the ANN model for various input parameters helped to identify the best water conservation strategy. Sensitivity analysis was also performed to determine the uncertainty contribution/significance of the input variables for the water scarcity in the study region. The developed model in the study is tested on a rural water management system.

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Section: Assessment Of Water Systems Through Different Applicationsmentioning

confidence: 99%

Assessment of sustainability index for rural water management using ANN

Kumar

Gupta

2021

Water Supply

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“…In addition, many studies were concerned with the availability of the services, the satisfaction of water users, and the level of household payment for clean water (Montangero, 2009). Inheriting the above research results, the study of Domínguez et al (2019) came up with 17 criteria with 95 quantifiable sub-criteria to assess the sustainability of the clean water system in Colombia. The tool's completeness was represented by its extensive attributes and metrics that provide a powerful analytical framework of the state of the system, help identify improvement strategies, and monitor the management of the system over time.…”

Section: Selection Of Criteria To Assess the Sustainability Of The Rural Clean Water Supplymentioning

confidence: 99%

Sustainability Assessment of the Rural Clean Water Supply System in Hai Phong City

Quynh

Hùng²

2021

vjas

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Since the end of 2019, 92.1% of rural households in Hai Phong city had been able to access and use clean drinking water, which meets national standards as a result of developing a clean water supply system consisting of 205 plants with various management models. The authors applied the desk-study method to collect and review literature research, select a group of six criteria, and then applied the criteria to assess the system's sustainability based on Likert's 3-point scale. The results show that criteria scores ranged from 1.9 points to 2.5 points, while the total score of the whole system is 12.9 points - reaching an average sustainability level. The authors propose that in order to improve the sustainability of the clean water supply system in the rural areas of Hai Phong city in the future, management agencies and investors need to apply a solution of propagating rural people to increase their usage volume of clean water, which will help to increase the actual operating capacities of the plants, thereby increasing the revenue and profits of plant investors.

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“…At present, there is a lack of literature to back-up the practical concept of real-time data collection for waterborne pathogen populations except in water infrastructure facilities. This is especially predominant in low-and middle-income countries where water treatment facilities if they exist, do not have the extra resources for high-resolution water quality testing [72]. For the collection of real-time qualitative data, devices are required to be placed in situ.…”

Section: Real-time Quantitative Datamentioning

confidence: 99%

Integrated Electrochemical Biosensors for Detection of Waterborne Pathogens in Low-Resource Settings

et al. 2020

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More than 783 million people worldwide are currently without access to clean and safe water. Approximately 1 in 5 cases of mortality due to waterborne diseases involve children, and over 1.5 million cases of waterborne disease occur every year. In the developing world, this makes waterborne diseases the second highest cause of mortality. Such cases of waterborne disease are thought to be caused by poor sanitation, water infrastructure, public knowledge, and lack of suitable water monitoring systems. Conventional laboratory-based techniques are inadequate for effective on-site water quality monitoring purposes. This is due to their need for excessive equipment, operational complexity, lack of affordability, and long sample collection to data analysis times. In this review, we discuss the conventional techniques used in modern-day water quality testing. We discuss the future challenges of water quality testing in the developing world and how conventional techniques fall short of these challenges. Finally, we discuss the development of electrochemical biosensors and current research on the integration of these devices with microfluidic components to develop truly integrated, portable, simple to use and cost-effective devices for use by local environmental agencies, NGOs, and local communities in low-resource settings.

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Assessing Sustainability in Rural Water Supply Systems in Developing Countries Using a Novel Tool Based on Multi-Criteria Analysis

Cited by 27 publications

References 44 publications

Assessment of sustainability index for rural water management using ANN

Assessment of sustainability index for rural water management using ANN

Sustainability Assessment of the Rural Clean Water Supply System in Hai Phong City

Integrated Electrochemical Biosensors for Detection of Waterborne Pathogens in Low-Resource Settings

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