Norms and values in sociohydrological models

Roobavannan, M; Van Emmerik, THM; Elshafei, Y; Kandasamy, J; Sanderson, MR; Vigneswaran, S; Pande, S; Sivapalan, M

Norms and values in sociohydrological models

Roobavannan, M Van Emmerik, THM Elshafei, Y Kandasamy, J Sanderson, MR Vigneswaran, S

Pande, S Sivapalan, M

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Publication Type:: Journal Article
Citation:: Hydrology and Earth System Sciences, 2018, 22 (2), pp. 1337 - 1349
Issue Date:: 2018-02-23

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Field	Value	Language
dc.contributor.author	Roobavannan, M	en_US
dc.contributor.author	Van Emmerik, THM	en_US
dc.contributor.author	Elshafei, Y	en_US
dc.contributor.author	Kandasamy, J	en_US
dc.contributor.author	Sanderson, MR	en_US
dc.contributor.author	Vigneswaran, S https://orcid.org/0000-0002-8117-4322	en_US
dc.contributor.author	Pande, S	en_US
dc.contributor.author	Sivapalan, M	en_US
dc.date.issued	2018-02-23	en_US
dc.identifier.citation	Hydrology and Earth System Sciences, 2018, 22 (2), pp. 1337 - 1349	en_US
dc.identifier.issn	1027-5606	en_US
dc.identifier.uri	http://hdl.handle.net/10453/132328
dc.description.abstract	© Author(s) 2018. Sustainable water resources management relies on understanding how societies and water systems coevolve. Many place-based sociohydrology (SH) modeling studies use proxies, such as environmental degradation, to capture key elements of the social component of system dynamics. Parameters of assumed relationships between environmental degradation and the human response to it are usually obtained through calibration. Since these relationships are not yet underpinned by social-science theories, confidence in the predictive power of such place-based sociohydrologic models remains low. The generalizability of SH models therefore requires major advances in incorporating more realistic relationships, underpinned by appropriate hydrological and social-science data and theories. The latter is a critical input, since human culture - especially values and norms arising from it - influences behavior and the consequences of behaviors. This paper reviews a key social-science theory that links cultural factors to environmental decision-making, assesses how to better incorporate social-science insights to enhance SH models, and raises important questions to be addressed in moving forward. This is done in the context of recent progress in sociohydrological studies and the gaps that remain to be filled. The paper concludes with a discussion of challenges and opportunities in terms of generalization of SH models and the use of available data to allow future prediction and model transfer to ungauged basins.	en_US
dc.relation.ispartof	Hydrology and Earth System Sciences	en_US
dc.relation.isbasedon	10.5194/hess-22-1337-2018	en_US
dc.subject.classification	Environmental Engineering	en_US
dc.title	Norms and values in sociohydrological models	en_US
dc.type	Journal Article
utslib.citation.volume	2	en_US
utslib.citation.volume	22	en_US
utslib.for	0905 Civil Engineering	en_US
utslib.for	0907 Environmental Engineering	en_US
utslib.for	0406 Physical Geography and Environmental Geoscience	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Civil and Environmental Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - CTWW - Centre for Technology in Water and Wastewater Treatment
utslib.copyright.status	open_access
pubs.issue	2	en_US
pubs.publication-status	Published	en_US
pubs.volume	22	en_US

Abstract:

© Author(s) 2018. Sustainable water resources management relies on understanding how societies and water systems coevolve. Many place-based sociohydrology (SH) modeling studies use proxies, such as environmental degradation, to capture key elements of the social component of system dynamics. Parameters of assumed relationships between environmental degradation and the human response to it are usually obtained through calibration. Since these relationships are not yet underpinned by social-science theories, confidence in the predictive power of such place-based sociohydrologic models remains low. The generalizability of SH models therefore requires major advances in incorporating more realistic relationships, underpinned by appropriate hydrological and social-science data and theories. The latter is a critical input, since human culture - especially values and norms arising from it - influences behavior and the consequences of behaviors. This paper reviews a key social-science theory that links cultural factors to environmental decision-making, assesses how to better incorporate social-science insights to enhance SH models, and raises important questions to be addressed in moving forward. This is done in the context of recent progress in sociohydrological studies and the gaps that remain to be filled. The paper concludes with a discussion of challenges and opportunities in terms of generalization of SH models and the use of available data to allow future prediction and model transfer to ungauged basins.

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http://hdl.handle.net/10453/132328