基于“水—能源—食物—生态”纽带因果关系和贝叶斯网络的锡尔河流域用水分析
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施海洋, 罗格平, 郑宏伟, 陈春波, 白洁, 刘铁
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Water use analysis of Syr Darya river basin: Based on "Water-Energy-Food-Ecology" nexus and Bayesian network
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SHI Haiyang, LUO Geping, ZHENG Hongwei, CHEN Chunbo, BAI Jie, LIU Tie
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表5 不同情景下目标变量对情景变量的响应
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Tab. 5 Responses of target variables to scenario variables in different scenarios
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| 目标变量 | 情景变量 | | RF | DR | EI | UR | WR | IQ | DG | DC | DA | UA | DI | WD | | 下游总用水量(低) | -1.2 | | | +0.2 | | +1.2 | +1.7 | | -1.6 | | -1.8 | +0.3 | | 上游总用水量(低) | -4.3 | | | +2.5 | | | | | | -0.9 | | | | 下游人均产值(高) | | | | | | | +0.6 | | +0.5 | | +4.7 | | | 上游人均产值(高) | | | +0.3 | | | | | | | +1.3 | | | | 下游畜牧业产值(高) | | | | | | | | | +5.1 | | | | | 下游粮食产量(高) | | +0.3 | | | | -0.3 | +13.6 | | | | | | | 上游能源总量(高) | +2.0 | | +5.9 | -2.7 | +2.6 | | | | | | | | | 咸海入湖水量(高) | +2.4 | | | +3.6 | +1.3 | +2.3 | +0.5 | +2.6 | | | | +23.5 | | 咸海水量(高) | +1.5 | | | +0.6 | | | | | | | | +3.5 | | 荒漠面积(低) | | +9.6 | | | | | | | | | | | | 土壤盐分含量(低) | | +5.5 | | | | | | | | | | | | 沙、盐尘暴频率(低) | +0.1 | +3.7 | | +0.8 | | | | | | | | +1.1 | | 用水矿化度(低) | | +1.3 | | | | | | | | | | | | 下游人均寿命(高) | | +0.2 | | | | | | | | | | |
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