Targeting investments in small-scale groundwater irrigation using Bayesian networks for a data-scarce river basin in Sub-Saharan Africa
详细信息 查看全文
- 作者：Pamela Katica ; p.katic@cgiar.org" class="auth_mail" title="E-mail the corresponding author ; pamekpa@hotmail.com" class="auth_mail" title="E-mail the corresponding author ; Joanne Morrisb
- 关键词：Smallholders ; Irrigation technologies ; Outscaling ; Decision-support
- 刊名：Environmental Modelling & Software
- 出版年：2016
- 出版时间：August 2016
- 年：2016
- 卷：82
- 期：Complete
- 页码：44-72
- 全文大小：5837 K
文摘
- •
A Bayesian network decision tool is tested for targeting irrigation technologies.
- •
It includes socio-economic and biophysical factors driving technology success.
- •
The development of the tool is illustrated in the White Volta Basin in West Africa.
- •
Water, market access and skills are the most influential factors.