CHNS Modeling for Study and Management of Human–Water Interactions at Multiple Scales

This paper presents basic definitions and challenges/opportunities from different perspectives to study and control water cycle impacts on society and vice versa. The wider and increased interactions and their consequences such as global warming and climate change, and the role of complex institutio...

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Main Authors: Kumaraswamy Ponnambalam, S. Jamshid Mousavi
Format: Article
Language:English
Published: MDPI AG 2020-06-01
Series:Water
Subjects:
Online Access:https://www.mdpi.com/2073-4441/12/6/1699
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author Kumaraswamy Ponnambalam
S. Jamshid Mousavi
author_facet Kumaraswamy Ponnambalam
S. Jamshid Mousavi
author_sort Kumaraswamy Ponnambalam
collection DOAJ
description This paper presents basic definitions and challenges/opportunities from different perspectives to study and control water cycle impacts on society and vice versa. The wider and increased interactions and their consequences such as global warming and climate change, and the role of complex institutional- and governance-related socioeconomic-environmental issues bring forth new challenges. Hydrology and integrated water resources management (IWRM from the viewpoint of an engineering planner) do not exclude in their scopes the study of the impact of changes in global hydrology from societal actions and their feedback effects on the local/global hydrology. However, it is useful to have unique emphasis through specialized fields such as hydrosociology (including the society in planning water projects, from the viewpoint of the humanities) and sociohydrology (recognizing the large-scale impacts society has on hydrology, from the viewpoint of science). Global hydrological models have been developed for large-scale hydrology with few parameters to calibrate at local scale, and integrated assessment models have been developed for multiple sectors including water. It is important not to do these studies with a silo mindset, as problems in water and society require highly interdisciplinary skills, but flexibility and acceptance of diverse views will progress these studies and their usefulness to society. To deal with complexities in water and society, systems modeling is likely the only practical approach and is the viewpoint of researchers using coupled human–natural systems (CHNS) models. The focus and the novelty in this paper is to clarify some of these challenges faced in CHNS modeling, such as spatiotemporal scale variations, scaling issues, institutional issues, and suggestions for appropriate mathematical tools for dealing with these issues.
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spelling doaj.art-c3a9b97f6fec4c4db723c96e7be799e92023-11-20T03:46:12ZengMDPI AGWater2073-44412020-06-01126169910.3390/w12061699CHNS Modeling for Study and Management of Human–Water Interactions at Multiple ScalesKumaraswamy Ponnambalam0S. Jamshid Mousavi1Department of Systems Design Engineering, University of Waterloo, Waterloo, ON N2L 5R5, CanadaSchool of Petroleum, Civil and Mining Engineering, Amirkabir University of Technology (Tehran Polytechnic), Tehran 15875-4413, IranThis paper presents basic definitions and challenges/opportunities from different perspectives to study and control water cycle impacts on society and vice versa. The wider and increased interactions and their consequences such as global warming and climate change, and the role of complex institutional- and governance-related socioeconomic-environmental issues bring forth new challenges. Hydrology and integrated water resources management (IWRM from the viewpoint of an engineering planner) do not exclude in their scopes the study of the impact of changes in global hydrology from societal actions and their feedback effects on the local/global hydrology. However, it is useful to have unique emphasis through specialized fields such as hydrosociology (including the society in planning water projects, from the viewpoint of the humanities) and sociohydrology (recognizing the large-scale impacts society has on hydrology, from the viewpoint of science). Global hydrological models have been developed for large-scale hydrology with few parameters to calibrate at local scale, and integrated assessment models have been developed for multiple sectors including water. It is important not to do these studies with a silo mindset, as problems in water and society require highly interdisciplinary skills, but flexibility and acceptance of diverse views will progress these studies and their usefulness to society. To deal with complexities in water and society, systems modeling is likely the only practical approach and is the viewpoint of researchers using coupled human–natural systems (CHNS) models. The focus and the novelty in this paper is to clarify some of these challenges faced in CHNS modeling, such as spatiotemporal scale variations, scaling issues, institutional issues, and suggestions for appropriate mathematical tools for dealing with these issues.https://www.mdpi.com/2073-4441/12/6/1699coupled human–natural systemsintegrated water resources managementsociohydrologymodeling perspectivesagent-based modelingdifferential equations
spellingShingle Kumaraswamy Ponnambalam
S. Jamshid Mousavi
CHNS Modeling for Study and Management of Human–Water Interactions at Multiple Scales
Water
coupled human–natural systems
integrated water resources management
sociohydrology
modeling perspectives
agent-based modeling
differential equations
title CHNS Modeling for Study and Management of Human–Water Interactions at Multiple Scales
title_full CHNS Modeling for Study and Management of Human–Water Interactions at Multiple Scales
title_fullStr CHNS Modeling for Study and Management of Human–Water Interactions at Multiple Scales
title_full_unstemmed CHNS Modeling for Study and Management of Human–Water Interactions at Multiple Scales
title_short CHNS Modeling for Study and Management of Human–Water Interactions at Multiple Scales
title_sort chns modeling for study and management of human water interactions at multiple scales
topic coupled human–natural systems
integrated water resources management
sociohydrology
modeling perspectives
agent-based modeling
differential equations
url https://www.mdpi.com/2073-4441/12/6/1699
work_keys_str_mv AT kumaraswamyponnambalam chnsmodelingforstudyandmanagementofhumanwaterinteractionsatmultiplescales
AT sjamshidmousavi chnsmodelingforstudyandmanagementofhumanwaterinteractionsatmultiplescales