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From modelling to management

Hydrological models bring clarity and consensus to challenging policy issues
Free access to all articles in this special edition of Water International.
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Volume 37, Issue 4, 2012

Special Issue: How Hydrological Models Support Informed Decision Making in Developing Countries

DOI: 10.1080/02508060.2012.704554
Vladimir Smakhtin & Robyn Johnston
pages 357-361
Version of record first published: 21 Aug 2012

The Blue Nile Falls in Ethiopia. Computer modelling has enabled researchers to more accurately predict how new developments in irrigation and hydropower will affect water availability.
The Blue Nile Falls in Ethiopia. Computer modelling has enabled researchers to more accurately predict how new developments in irrigation and hydropower will affect water availability.
Photo: Alastair Rae on Flickr

Making management decisions about landscapes has always been challenging. It is very hard to predict how a complex system will respond when changes are made in the way that a resource is used or conserved. Unforeseen consequences can have calamitous results. With the advent of computer modelling techniques, however, the lives of landscape policymakers got significantly easier. Also, as computing power has improved, its influence on natural resource management has rocketed. By processing and modelling large amounts of digital data, a complicated water system, such as a river basin, becomes far more predictable. Different management regimes can be quickly and easily tested using models, giving policymakers new insights on best practices and more sustainable approaches.

A large number of computer models for water systems have been developed worldwide in both the commercial and public domains. This special issue of Water International takes a step back from the technical complexities of model development, to examine the roles that models currently play in water resource policy in the developing world. The articles review the effectiveness of models in addressing policy and management concerns, and assess the constraints on their adoption and use.

Water management students at the Kyrgyz National University learn the measuring and data collection techniques that computer modellers depend upon for accurate predictions.
Water management students at the Kyrgyz National University learn the measuring and data collection techniques that computer modellers depend upon for accurate predictions.
Photo: Ikuru Kuwajima/IWMI

Hydrologic models are particularly useful in bringing attention to policy issues in developing countries, where data describing water resources are often limited and the understanding of water systems is incomplete. The Blue Nile in Ethiopia is a good example. It is vitally important to the region’s food security. Millions of households depend on it. However, pressure for hydropower has led the government to invest in a huge dam in the Benishangul-Gumuz region. This has made downstream governments in Sudan and Egypt nervous. However, a team of researchers, led by the International Water Management Institute (IWMI), linked several models describing climate, hydrology and water management to analyze water allocation issues in the Blue Nile Basin. They found that contrary to widely held regional assumptions, proposed large-scale development of hydropower and irrigation in the Upper Blue Nile Basin will only have modest impacts on downstream flows. The policy implications of this revelation for economic development and international negotiations in the Blue Nile Basin are profound.

The Blue Nile Falls in Ethiopia. Computer modelling has enabled researchers to more accurately predict how new developments in irrigation and hydropower will affect water availability.
The Global Environmental Flow Calculator (GEFC)

Taken together, the studies in this special issue demonstrate the many ways in which hydrological models contribute to policy analysis in developing countries. Many of the modelling efforts focus on the management end of the policy cycle. Yet, there are important applications also in problem definition and agenda setting. Models can also be very effective agents in promoting consensus solutions to challenging questions. To that end, simplicity, transparency and consistency are probably as important as technical accuracy in ensuring the successful uptake of the results.

 

 

 
   
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This page was last updated on Tuesday, September 11, 2012