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Decision Support Indicators (DSIs) and their role in hydrological planning.
- Source :
- Environmental Science & Policy; Jul2024, Vol. 157, pN.PAG-N.PAG, 1p
- Publication Year :
- 2024
-
Abstract
- Decision Support Indicators (DSIs) are metrics designed to inform local and regional stakeholders about the characteristics of a predicted (or ongoing) event to facilitate decision-making. In this paper, the DSI concept was developed to clarify the different aims of different kinds of indicators by naming them, and a framework was developed to describe and support the usage of such DSIs. The framework includes three kinds of DSI: hydroclimatic DSIs which are easy to calculate but hard to understand by non-experts; impact-based DSIs which are often difficult to calculate but easy to understand by non-experts; and event-based DSIs , which compare a current or projected state to a locally well-known historical event, where hydroclimatic and impact-based DSIs are currently mainly used. Tables and figures were developed to support the DSI development in collaboration with stakeholders. To develop and test the framework, seven case studies, representing different hydrological pressures on three continents (South America, Asia, and Europe), were carried out. The case studies span several temporal and spatial scales (hours-decades; 70–6,000 km<superscript>2</superscript>) as well as hydrological pressures (pluvial and riverine floods, drought, and water scarcity), representing different climate zones. Based on stakeholder workshops, DSIs were developed for these cases, which are used as examples of the conceptual framework. The adaptability of the DSI framework to this wide range of cases shows that the framework and related concepts are useful in many contexts. • Decision Support Indicators (DSI) inform stakeholders of future hydrological hazards. • Based on local knowledge about past events, event-based DSIs are highly informative. • A novel framework for indicator development has been developed. • The framework has been tested in seven case studies on three continents. • The framework can be seen as a decision-support tool, facilitating indicator development. [ABSTRACT FROM AUTHOR]
- Subjects :
- DROUGHT management
CLIMATIC zones
WATER shortages
LOCAL knowledge
DROUGHTS
CONTINENTS
Subjects
Details
- Language :
- English
- ISSN :
- 14629011
- Volume :
- 157
- Database :
- Supplemental Index
- Journal :
- Environmental Science & Policy
- Publication Type :
- Academic Journal
- Accession number :
- 177394125
- Full Text :
- https://doi.org/10.1016/j.envsci.2024.103768