Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1016/j.envsoft.2019.01.016 |
Improving development efficiency through decision analysis: Reservoir protection in Burkina Faso | |
Lanzanova, Denis1,2; Whitney, Cory2; Shepherd, Keith3; Luedeling, Eike3,4 | |
通讯作者 | Lanzanova, Denis |
来源期刊 | ENVIRONMENTAL MODELLING & SOFTWARE |
ISSN | 1364-8152 |
EISSN | 1873-6726 |
出版年 | 2019 |
卷号 | 115页码:164-175 |
英文摘要 | In the arid areas of Sub-Saharan Africa, perennial challenges of water scarcity and food insecurity are exacerbated by climate change and variability. The development of robust strategies to cope with the region's climatic challenges requires thorough consideration of uncertainty and risk in decision making. We demonstrate the use of probabilistic decision analysis to compare intervention options to prevent reservoir sedimentation in Burkina Faso. To illustrate this approach, we developed a causal impact pathway model based on the local knowledge of expert stakeholders. Input parameters were described by probability distributions derived from estimated confidence intervals. The model was run in a Monte Carlo simulation to generate the range of plausible decision outcomes, quantified as the net present value and the annual cash flow. We used Partial Least Squares regression analysis to identify the parameters that most affected projected intervention outcomes and we computed the Expected Value of Perfect Information (EVPI) to highlight critical uncertainties. Numerical results show that the preferred intervention to secure agricultural production is a combination of dredging, rock dams and a buffer scheme around the reservoir. The EVPI calculation reveals an information value for the profit per ton of vegetables, indicating that more information on this variable would be useful for supporting the decision. However, without the need for follow-up analysis, the results show high probability of benefits given the combined interventions, which, given the current state of information, should be preferred over inaction. |
英文关键词 | Monte-Carlo simulation Decision analysis Uncertainty assessment Reservoir sedimentation Burkina Faso |
类型 | Article |
语种 | 英语 |
国家 | Switzerland ; Germany ; Kenya |
开放获取类型 | Green Published |
收录类别 | SCI-E ; SSCI |
WOS记录号 | WOS:000460643900014 |
WOS关键词 | SENSITIVITY-ANALYSIS ; DEEP UNCERTAINTY ; CLIMATE-CHANGE ; MODELS ; AGRICULTURE ; IRRIGATION ; MANAGEMENT ; REGRESSION ; KNOWLEDGE ; FRAMEWORK |
WOS类目 | Computer Science, Interdisciplinary Applications ; Engineering, Environmental ; Environmental Sciences ; Water Resources |
WOS研究方向 | Computer Science ; Engineering ; Environmental Sciences & Ecology ; Water Resources |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/215458 |
作者单位 | 1.Univ Geneva, Inst Environm Sci, Blvd Carl Vogt 66, CH-1205 Geneva, Switzerland; 2.Univ Bonn, Res Dev Ctr, Genscherallee 3, D-53113 Bonn, Germany; 3.World Agroforestry Ctr, United Nations Ave, Nairobi, Kenya; 4.Univ Bonn, INRES Hort Sci, Hugel 6, D-53121 Bonn, Germany |
推荐引用方式 GB/T 7714 | Lanzanova, Denis,Whitney, Cory,Shepherd, Keith,et al. Improving development efficiency through decision analysis: Reservoir protection in Burkina Faso[J],2019,115:164-175. |
APA | Lanzanova, Denis,Whitney, Cory,Shepherd, Keith,&Luedeling, Eike.(2019).Improving development efficiency through decision analysis: Reservoir protection in Burkina Faso.ENVIRONMENTAL MODELLING & SOFTWARE,115,164-175. |
MLA | Lanzanova, Denis,et al."Improving development efficiency through decision analysis: Reservoir protection in Burkina Faso".ENVIRONMENTAL MODELLING & SOFTWARE 115(2019):164-175. |
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