دورية أكاديمية
Assessment of sustainability index for rural water management using ANN
| العنوان: | Assessment of sustainability index for rural water management using ANN |
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| المؤلفون: | R. Raghavendra Kumar, Gaurav Kumar, Rajiv Gupta |
| المصدر: | Water Supply, Vol 22, Iss 2, Pp 1421-1433 (2022) |
| بيانات النشر: | IWA Publishing, 2022. |
| سنة النشر: | 2022 |
| المجموعة: | LCC:Water supply for domestic and industrial purposes LCC:River, lake, and water-supply engineering (General) |
| مصطلحات موضوعية: | artificial intelligence, rural areas, scenario development, sustainability index, water resource management, Water supply for domestic and industrial purposes, TD201-500, River, lake, and water-supply engineering (General), TC401-506 |
| الوصف: | 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. HIGHLIGHTS Numerous approaches were performed regarding Sustainability Index (SI), but in the current study SI using multiple factors was assessed.; Artificial Neural Networks (ANN) model was trained and developed for future scenarios.; Current research work has a case study application on a community in a village.; Determination of SI was helpful in following and setting up a rainwater harvesting method at a selected village.; |
| نوع الوثيقة: | article |
| وصف الملف: | electronic resource |
| اللغة: | English |
| تدمد: | 1606-9749 1607-0798 |
| العلاقة: | http://ws.iwaponline.com/content/22/2/1421Test; https://doaj.org/toc/1606-9749Test; https://doaj.org/toc/1607-0798Test |
| DOI: | 10.2166/ws.2021.346 |
| الوصول الحر: | https://doaj.org/article/a5ad139bbf004718a129704bd86d6015Test |
| رقم الانضمام: | edsdoj.5ad139bbf004718a129704bd86d6015 |
| قاعدة البيانات: | Directory of Open Access Journals |
| تدمد: | 16069749 16070798 |
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| DOI: | 10.2166/ws.2021.346 |