Bhave Ajay Gajanan, Conway Declan, Dessai Suraje, Stainforth David A
London School of Economics and Political Science Grantham Research Institute on Climate Change and the Environment London UK.
Sustainability Research Institute and ESRC Centre for Climate Change Economics and Policy, School of Earth and Environment University of Leeds Leeds UK.
Water Resour Res. 2018 Feb;54(2):708-728. doi: 10.1002/2017WR020970. Epub 2018 Feb 3.
Decision-Making Under Uncertainty (DMUU) approaches have been less utilized in developing countries than developed countries for water resources contexts. High climate vulnerability and rapid socioeconomic change often characterize developing country contexts, making DMUU approaches relevant. We develop an iterative multi-method DMUU approach, including scenario generation, coproduction with stakeholders and water resources modeling. We apply this approach to explore the robustness of adaptation options and pathways against future climate and socioeconomic uncertainties in the Cauvery River Basin in Karnataka, India. A water resources model is calibrated and validated satisfactorily using observed streamflow. Plausible future changes in Indian Summer Monsoon (ISM) precipitation and water demand are used to drive simulations of water resources from 2021 to 2055. Two stakeholder-identified decision-critical metrics are examined: a basin-wide metric comprising legal instream flow requirements for the downstream state of Tamil Nadu, and a local metric comprising water supply reliability to Bangalore city. In model simulations, the ability to satisfy these performance metrics without adaptation is reduced under almost all scenarios. Implementing adaptation options can partially offset the negative impacts of change. Sequencing of options according to stakeholder priorities into Adaptation Pathways affects metric satisfaction. Early focus on agricultural demand management improves the robustness of pathways but trade-offs emerge between intrabasin and basin-wide water availability. We demonstrate that the fine balance between water availability and demand is vulnerable to future changes and uncertainty. Despite current and long-term planning challenges, stakeholders in developing countries may engage meaningfully in coproduction approaches for adaptation decision-making under deep uncertainty.
在水资源领域,不确定性下的决策(DMUU)方法在发展中国家的应用不如在发达国家广泛。发展中国家的情况往往具有高度的气候脆弱性和快速的社会经济变化,这使得DMUU方法具有相关性。我们开发了一种迭代的多方法DMUU方法,包括情景生成、与利益相关者共同生产以及水资源建模。我们应用这种方法来探索印度卡纳塔克邦高韦里河流域针对未来气候和社会经济不确定性的适应方案和途径的稳健性。使用观测到的流量对水资源模型进行了令人满意的校准和验证。利用印度夏季风(ISM)降水和需水的合理未来变化来驱动2021年至2055年的水资源模拟。研究了两个利益相关者确定的决策关键指标:一个是全流域指标,包括泰米尔纳德邦下游邦的法定河道内流量要求;另一个是地方指标,包括对班加罗尔市的供水可靠性。在模型模拟中,几乎在所有情景下,不采取适应措施时满足这些绩效指标的能力都会下降。实施适应方案可以部分抵消变化的负面影响。根据利益相关者的优先顺序将方案排序为适应途径会影响指标满意度。早期关注农业需求管理可提高途径的稳健性,但流域内和全流域水资源可利用量之间会出现权衡。我们证明,水资源可利用量与需求之间的微妙平衡容易受到未来变化和不确定性的影响。尽管存在当前和长期的规划挑战,但发展中国家的利益相关者可能会在深度不确定性下有意义地参与适应决策的共同生产方法。