制定用水情景,作为适应气候变化的工具

R. Jacinto, M. J. Cruz, F. Santos
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引用次数: 10

摘要

摘要ADAPTACLIMA项目由葡萄牙最大的供水公司EPAL推动,旨在为该公司提供中长期适应战略,以减少其活动对气候变化的脆弱性。我们使用IPCC(政府间气候变化专门委员会)特别报告排放情景(SRES)中采用的四个情景(A1, A2, B1, B2)来生成当地的用水情景。使用线性方法将葡萄牙的可用人口SRES缩小到研究区域。通过以下步骤生成当地土地利用情景:(1)利用Corine land Cover对研究区每个城市的当前土地利用进行表征,并将CLC分类与SRES中使用的分类进行适应;(2)识别研究区土地利用变化的近期趋势;(3)欧洲土地利用变化的SRES趋势识别;(4)地方土地利用情景的生成。水资源利用情景是在考虑人口和土地利用情景以及其他参数变化情景(技术发展、效率提高、气候变化或政治和行为变化)的情况下得出的。A2情景预测研究区域的人口将增加(+16%),而其他情景则显示常住人口将减少(- 6%至8%)。所有情景,尤其是A1情景,都显示农业面积减少,城市面积增加。无论情况如何,用水量将逐步减少,直至2100年。这些减少主要是由于水利用效率的提高和灌溉土地的减少。结果与若干区域和全球水资源利用模拟项目一致。
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Development of water use scenarios as a tool for adaptation to climate change
Abstract. The project ADAPTACLIMA, promoted by EPAL, the largest Portuguese Water Supply Utility, aims to provide the company with an adaptation strategy in the medium and long term to reduce the vulnerability of its activities to climate change. We used the four scenarios (A1, A2, B1, B2) adopted in the Special Report Emissions Scenarios (SRES) of the IPCC (Intergovernmental Panel on Climate Change) to produce local scenarios of water use. Available population SRES for Portugal were downscaled to the study area using a linear approach. Local land use scenarios were produced using the following steps: (1) characterization of the present land use for each municipality of the study area using Corine Land Cover and adaptation of the CLC classes to those used in the SRES; (2) identification of recent tendencies in land use change for the study area; (3) identification of SRES tendencies for land use change in Europe; and (4) production of local scenarios of land use. Water use scenarios were derived considering both population and land use scenarios as well as scenarios of change in other parameters (technological developments, increases in efficiency, climate changes, or political and behavioural changes). The A2 scenario forecasts an increase in population (+16%) in the study area while the other scenarios show a reduction in the resident population (−6 to 8%). All scenarios, but especially A1, show a reduction in agricultural area and an increase in urban area. Regardless of the scenario, water use will progressively be reduced until 2100. These reductions are mainly due to increased water use efficiency and the reduction of irrigated land. The results accord with several projects modelling water use at regional and global level.
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来源期刊
Drinking Water Engineering and Science
Drinking Water Engineering and Science Environmental Science-Water Science and Technology
CiteScore
3.90
自引率
0.00%
发文量
3
审稿时长
40 weeks
期刊最新文献
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