Interaction of hydro-socio-technology-knowledge indicators in integrated water resources management using soft-computing techniques

Various factors affect the development of social, cultural, and economic aspects of societies. One of these factors is the state of water resources. In this study, countries of the world with decreasing renewable water per capita were examined during the period 2005–2017. Specifically, 35, 5, 20, 48...

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Autores principales:	Masoumeh Zeinali, Sarvin Zamanzad-Ghavidel, Yaser Mehri, Hazi Mohammad Azamathulla
Formato:	article
Lenguaje:	EN
Publicado:	IWA Publishing 2021
Materias:	hydro-socio-technology-knowledge integrated water resources management soft-computing method Water supply for domestic and industrial purposes TD201-500 River, lake, and water-supply engineering (General) TC401-506
Acceso en línea:	https://doaj.org/article/f71a8391196c45d999090e961d06aaf4
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spelling	oai:doaj.org-article:f71a8391196c45d999090e961d06aaf42021-11-06T07:05:05ZInteraction of hydro-socio-technology-knowledge indicators in integrated water resources management using soft-computing techniques1606-97491607-079810.2166/ws.2020.327https://doaj.org/article/f71a8391196c45d999090e961d06aaf42021-02-01T00:00:00Zhttp://ws.iwaponline.com/content/21/1/470https://doaj.org/toc/1606-9749https://doaj.org/toc/1607-0798Various factors affect the development of social, cultural, and economic aspects of societies. One of these factors is the state of water resources. In this study, countries of the world with decreasing renewable water per capita were examined during the period 2005–2017. Specifically, 35, 5, 20, 48, 43, and 151 countries were selected from the American, Oceania, European, African, Asian continents, and the world respectively. Further, three hydro-socio-technology-knowledge indicators associated with demographic, technology, and knowledge dimensions were estimated with soft-computing methods (i.e. Group Method of Data Handling (GMDH), Radial Basis Function (RBF), and Regression Trees (R Trees)) for the world's continents). The GMDH model's performance was the best among the other soft-computing methods in estimating the hydro-socio-technology-knowledge indicators for all the world's continents based on statistical criteria (coefficient of determination (R2), root mean square error (RMSE) and mean absolute error (MAE)). The values of RMSE for GMDH models for the ratio of rural to urban population (PRUP), population density (PD), number of internet users (IU) and education index (EI) indicators equaled (0.291, 0.046, 0.127, 0.199), (0.094, 0.023, 0.174, 0.137), (0.237, 0.044, 0.166, 0.225), (0.173, 0.031, 0.126, 0.163), (0.218, 0.058, 0.142, 0.196) and (0.231, 0.049, 0.167, 0.195) for America, Oceania, Europe, Africa, Asia and the world, respectively. The results indicate that there is an interaction between socio-technology-knowledge indicators. Thus, for water resources in all continents and the world, the hydro-socio-technology-knowledge indicators can be used for proper planning and management of water resources.Masoumeh ZeinaliSarvin Zamanzad-GhavidelYaser MehriHazi Mohammad AzamathullaIWA Publishingarticlehydro-socio-technology-knowledgeintegrated water resources managementsoft-computing methodWater supply for domestic and industrial purposesTD201-500River, lake, and water-supply engineering (General)TC401-506ENWater Supply, Vol 21, Iss 1, Pp 470-491 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	hydro-socio-technology-knowledge integrated water resources management soft-computing method Water supply for domestic and industrial purposes TD201-500 River, lake, and water-supply engineering (General) TC401-506
spellingShingle	hydro-socio-technology-knowledge integrated water resources management soft-computing method Water supply for domestic and industrial purposes TD201-500 River, lake, and water-supply engineering (General) TC401-506 Masoumeh Zeinali Sarvin Zamanzad-Ghavidel Yaser Mehri Hazi Mohammad Azamathulla Interaction of hydro-socio-technology-knowledge indicators in integrated water resources management using soft-computing techniques
description	Various factors affect the development of social, cultural, and economic aspects of societies. One of these factors is the state of water resources. In this study, countries of the world with decreasing renewable water per capita were examined during the period 2005–2017. Specifically, 35, 5, 20, 48, 43, and 151 countries were selected from the American, Oceania, European, African, Asian continents, and the world respectively. Further, three hydro-socio-technology-knowledge indicators associated with demographic, technology, and knowledge dimensions were estimated with soft-computing methods (i.e. Group Method of Data Handling (GMDH), Radial Basis Function (RBF), and Regression Trees (R Trees)) for the world's continents). The GMDH model's performance was the best among the other soft-computing methods in estimating the hydro-socio-technology-knowledge indicators for all the world's continents based on statistical criteria (coefficient of determination (R2), root mean square error (RMSE) and mean absolute error (MAE)). The values of RMSE for GMDH models for the ratio of rural to urban population (PRUP), population density (PD), number of internet users (IU) and education index (EI) indicators equaled (0.291, 0.046, 0.127, 0.199), (0.094, 0.023, 0.174, 0.137), (0.237, 0.044, 0.166, 0.225), (0.173, 0.031, 0.126, 0.163), (0.218, 0.058, 0.142, 0.196) and (0.231, 0.049, 0.167, 0.195) for America, Oceania, Europe, Africa, Asia and the world, respectively. The results indicate that there is an interaction between socio-technology-knowledge indicators. Thus, for water resources in all continents and the world, the hydro-socio-technology-knowledge indicators can be used for proper planning and management of water resources.
format	article
author	Masoumeh Zeinali Sarvin Zamanzad-Ghavidel Yaser Mehri Hazi Mohammad Azamathulla
author_facet	Masoumeh Zeinali Sarvin Zamanzad-Ghavidel Yaser Mehri Hazi Mohammad Azamathulla
author_sort	Masoumeh Zeinali
title	Interaction of hydro-socio-technology-knowledge indicators in integrated water resources management using soft-computing techniques
title_short	Interaction of hydro-socio-technology-knowledge indicators in integrated water resources management using soft-computing techniques
title_full	Interaction of hydro-socio-technology-knowledge indicators in integrated water resources management using soft-computing techniques
title_fullStr	Interaction of hydro-socio-technology-knowledge indicators in integrated water resources management using soft-computing techniques
title_full_unstemmed	Interaction of hydro-socio-technology-knowledge indicators in integrated water resources management using soft-computing techniques
title_sort	interaction of hydro-socio-technology-knowledge indicators in integrated water resources management using soft-computing techniques
publisher	IWA Publishing
publishDate	2021
url	https://doaj.org/article/f71a8391196c45d999090e961d06aaf4
work_keys_str_mv	AT masoumehzeinali interactionofhydrosociotechnologyknowledgeindicatorsinintegratedwaterresourcesmanagementusingsoftcomputingtechniques AT sarvinzamanzadghavidel interactionofhydrosociotechnologyknowledgeindicatorsinintegratedwaterresourcesmanagementusingsoftcomputingtechniques AT yasermehri interactionofhydrosociotechnologyknowledgeindicatorsinintegratedwaterresourcesmanagementusingsoftcomputingtechniques AT hazimohammadazamathulla interactionofhydrosociotechnologyknowledgeindicatorsinintegratedwaterresourcesmanagementusingsoftcomputingtechniques
_version_	1718443895440801792

Interaction of hydro-socio-technology-knowledge indicators in integrated water resources management using soft-computing techniques

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