An Introduction to the IBMR : A Hydro-Economic Model for Climate Change Impact Assessment in Pakistan’s Indus River Basin
The Indus Basin Model Revised (IBMR) is a hydro-agro-economic optimization model for agricultural investment planning across Pakistan’s Indus Basin provinces. This study describes IBMR-2012, an update and modification of the model that reflects the current agro-economic conditions in Pakistan for th...
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2013
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Online Access: | http://hdl.handle.net/10986/16190 |
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okr-10986-161902021-04-23T14:03:27Z An Introduction to the IBMR : A Hydro-Economic Model for Climate Change Impact Assessment in Pakistan’s Indus River Basin Yang, Yi-Chen E. Brown, Casey M. Yu, Winston H. Savitsky, Andre Indus Basin model water allocation climate GCM uncertainty The Indus Basin Model Revised (IBMR) is a hydro-agro-economic optimization model for agricultural investment planning across Pakistan’s Indus Basin provinces. This study describes IBMR-2012, an update and modification of the model that reflects the current agro-economic conditions in Pakistan for the purpose of evaluating the impact of climate change on water allocation and food security. Results of hydro-climatic parameter sensitivity and basin-wide and provincial-level climate change impacts on crop productions are presented. The study finds that compared to Punjab, Sindh faces both significantly larger climate change impacts on agriculture and higher uncertainty regarding climate change impacts in the future. 2013-10-17T21:11:31Z 2013-10-17T21:11:31Z 2013-09-06 Journal Article Water International 0250-8060 http://hdl.handle.net/10986/16190 en_US CC BY-NC-ND 3.0 IGO http://creativecommons.org/licenses/by-nc-nd/3.0/igo/ World Bank Taylor and Francis Publications & Research :: Journal Article Publications & Research South Asia Pakistan |
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Digital Repository |
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Foreign Institution |
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Digital Repositories |
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World Bank Open Knowledge Repository |
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World Bank |
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en_US |
topic |
Indus Basin model water allocation climate GCM uncertainty |
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Indus Basin model water allocation climate GCM uncertainty Yang, Yi-Chen E. Brown, Casey M. Yu, Winston H. Savitsky, Andre An Introduction to the IBMR : A Hydro-Economic Model for Climate Change Impact Assessment in Pakistan’s Indus River Basin |
geographic_facet |
South Asia Pakistan |
description |
The Indus Basin Model Revised (IBMR) is a hydro-agro-economic optimization model for agricultural investment planning across Pakistan’s Indus Basin provinces. This study describes IBMR-2012, an update and modification of the model that reflects the current agro-economic conditions in Pakistan for the purpose of evaluating the impact of climate change on water allocation and food security. Results of hydro-climatic parameter sensitivity and basin-wide and provincial-level climate change impacts on crop productions are presented. The study finds that compared to Punjab, Sindh faces both significantly larger climate change impacts on agriculture and higher uncertainty regarding climate change impacts in the future. |
format |
Journal Article |
author |
Yang, Yi-Chen E. Brown, Casey M. Yu, Winston H. Savitsky, Andre |
author_facet |
Yang, Yi-Chen E. Brown, Casey M. Yu, Winston H. Savitsky, Andre |
author_sort |
Yang, Yi-Chen E. |
title |
An Introduction to the IBMR : A Hydro-Economic Model for Climate Change Impact Assessment in Pakistan’s Indus River Basin |
title_short |
An Introduction to the IBMR : A Hydro-Economic Model for Climate Change Impact Assessment in Pakistan’s Indus River Basin |
title_full |
An Introduction to the IBMR : A Hydro-Economic Model for Climate Change Impact Assessment in Pakistan’s Indus River Basin |
title_fullStr |
An Introduction to the IBMR : A Hydro-Economic Model for Climate Change Impact Assessment in Pakistan’s Indus River Basin |
title_full_unstemmed |
An Introduction to the IBMR : A Hydro-Economic Model for Climate Change Impact Assessment in Pakistan’s Indus River Basin |
title_sort |
introduction to the ibmr : a hydro-economic model for climate change impact assessment in pakistan’s indus river basin |
publisher |
Taylor and Francis |
publishDate |
2013 |
url |
http://hdl.handle.net/10986/16190 |
_version_ |
1764432445697949696 |