Earth System Science and Climate Change, Wageningen University and Research Centre, P.O. Box 47, 6700 AA Wageningen, Netherlands.
Earth System Science and Climate Change, Wageningen University and Research Centre, P.O. Box 47, 6700 AA Wageningen, Netherlands.
Sci Total Environ. 2013 Dec 1;468-469 Suppl:S117-31. doi: 10.1016/j.scitotenv.2013.05.092. Epub 2013 Aug 6.
The Indian subcontinent faces a population increase from 1.6 billion in 2000 towards 2 billion around 2050. Therefore, expansion of agricultural area combined with increases in productivity will be necessary to produce the food needed in the future. However, with pressure on water resources already being high, and potential effects of climate change still uncertain, the question rises whether there will be enough water resources available to sustain this production. The objective of this study is to make a spatially explicit quantitative analysis of water requirements and availability for current and future food production in five South Asian basins (Indus, Ganges, Brahmaputra, Godavari and Krishna), in the absence or presence of two different adaptation strategies: an overall improvement in irrigation efficiency, and an increase of reservoir storage capacity. The analysis is performed by using the coupled hydrology and crop production model LPJmL. It is found that the Godavari and Krishna basins will benefit most from an increased storage capacity, whereas in the Ganges and the Indus water scarcity mainly takes place in areas where this additional storage would not provide additional utility. Increasing the irrigation efficiency will be beneficial in all basins, but most in the Indus and Ganges, as it decreases the pressure on groundwater resources and decreases the fraction of food production that would become at risk because of water shortage. A combination of both options seems to be the best strategy in all basins. The large-scale model used in this study is suitable to identify hotspot areas and support the first step in the policy process, but the final design and implementation of adaptation options requires supporting studies at finer scales.
印度次大陆面临着人口从 2000 年的 16 亿增长到 2050 年左右的 20 亿。因此,为了生产未来所需的粮食,需要扩大农业面积并提高生产力。然而,随着水资源压力已经很大,气候变化的潜在影响仍不确定,人们不禁要问,是否有足够的水资源来维持这种生产。本研究的目的是对五个南亚流域(印度河、恒河、布拉马普特拉河、戈达瓦里河和克里希纳河)当前和未来粮食生产的水需求和供应进行空间明确的定量分析,不考虑或考虑两种不同的适应策略:全面提高灌溉效率和增加水库储水量。通过使用耦合水文和作物生产模型 LPJmL 进行分析。研究发现,戈达瓦里河和克里希纳河流域将从增加水库储水量中受益最多,而在恒河和印度河流域,水资源短缺主要发生在增加额外储水不会提供额外效用的地区。提高灌溉效率将在所有流域都有益,特别是在印度河和恒河流域,因为它可以减轻对地下水资源的压力,并减少因缺水而面临风险的粮食生产比例。两种选择的结合似乎是所有流域的最佳策略。本研究中使用的大规模模型适合识别热点地区,并支持政策制定过程的第一步,但适应选择的最终设计和实施需要在更精细的尺度上进行支持性研究。