Climate change impacts on hydro-generation and land suitability for agriculture in Cambodia, Laos and Myanmar

O. Dessens, G. Anandarajah, J. Cronin
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Abstract

This paper quantifies and analyses the impacts of climate change on water availability for hydro generation and land suitability for key crops in three least developed countries in the Greater Mekong Sub-region, namely, Cambodia, Laos and Myanmar. The method used for the climate study is supported by the inter-sectoral model inter-comparison project (ISIMIP database). The recent ISIMIP input dataset, ISIMIP2b, outlines simulation scenarios divided into different emissions pathways (or “Representative Concentration Pathways” known as RCPs). This paper focuses on the two extreme RCPs, specifically RCP2.6 and RCP8.5, which would result in global average temperature increases of approximately 1.6 and 4.3°C respectively. Th analysis concentrates on the difference between the historic period and the end of the century (toward 2100) for the climate conditions for the future. The fuzzy logic global land suitability model has been used to calculate the suitability of the land to support growing crops as well as to investigate how the climate changing could impact this. The analysis shows that quite significant changes in hydro-generation potential can occur depending on the region: Laos and Cambodia show decrease when Myanmar shows increase in output potential between present and RCP2.5 and RCP8.5 respectively. Quite significant increases or decreases in land suitability can occur depending on the region and the crop.
气候变化对柬埔寨、老挝和缅甸水力发电和土地适宜性的影响
本文量化分析了气候变化对大湄公河次区域三个最不发达国家(柬埔寨、老挝和缅甸)水力发电用水有效性和主要作物土地适宜性的影响。用于气候研究的方法得到了跨部门模式比对项目(ISIMIP数据库)的支持。最近的ISIMIP输入数据集ISIMIP2b概述了分为不同排放路径(或称为rcp的“代表性浓度路径”)的模拟情景。本文重点研究了两个极端rcp,即RCP2.6和RCP8.5,它们将分别导致全球平均气温升高约1.6和4.3°C。分析集中在历史时期和本世纪末(2100年之前)对未来气候条件的差异。模糊逻辑全球土地适宜性模型已被用于计算土地对种植作物的适宜性,并研究气候变化如何影响这一点。分析表明,根据区域不同,水力发电潜力可能发生相当大的变化:老挝和柬埔寨的产出潜力下降,而缅甸的产出潜力分别在目前和RCP2.5和RCP8.5之间增加。根据地区和作物的不同,土地适宜性可能出现相当显著的增加或减少。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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