| 摘要: |
| 【目的】为了识别华南地区省际间的用水效率水平差异及主要影响因素。虽然华南地区水资源量较丰富，但人民节水意识较为薄弱，因此，制定有针对性的措施以有效提高华南地区的用水效率水平至关重要。【方法】主要采用TOPSIS-信息量权重法，从生活、农业、工业、生态、社会经济五大方面构建全面的用水效率评价指标体系，对华南地区以省行政区为单位，综合评价其用水效率水平，分析2000-2018年华南地区用水效率水平的时间差异及变化趋势。其次，运用泰尔系数分析了各指标省际间的空间差异变化趋势，采用灰色关联法深入探求华南各省用水效率的主要驱动因子。【结果结论】结果表明：2000-2018年间，福建省用水效率水平最高，远超广西海南，广东省第二，广西壮族自治区最差；指标空间差异方面，万元GDP用水量及万元工业增加值用水量空间差异最大，农田灌溉用水效率及综合人均用水量空间差异最小；驱动因素方面，四省均受用水环节相关指标影响，耗水量、排水量影响最大，其次还与经济、水资源总量有关。 |
| 关键词: 华南地区、用水效率、Topsis分析、信息量权重、泰尔系数、灰色关联 |
| DOI： |
| 分类号:X24 |
| 基金项目:国家自然科学基金项目（U1911204，51861125203），国家重点研发计划项目（2017YFC0405900) |
|
| Study on Temporal-Spatial Difference and affecting factors of Interprovincial Water Use Efficiency in South China |
|
Liu Wenyu, Chen Xiaohong
|
|
Center for Water Resources and Environment, Sun Yat-sen University,Guangzhou
|
| Abstract: |
| 【Objective】In order to identify the temporal and spatial difference and the main influencing factors of water use efficiency between provinces in South China. Although the amount of water resources in South China is richer than that in other parts of the country, the people's consciousness of saving water is relatively weak. Therefore, it is very important to formulate targeted measures to effectively improve the water use efficiency in South China.【Method】A comprehensive evaluation index system of water use efficiency is constructed from five aspects: life, agriculture, industry, ecology and economy. The water use efficiency of South China is comprehensively evaluated by administrative regions, and the temporal difference and change trend of water use efficiency in South China from 2000 to 2018 are analyzed. The inter-provincial spatial variation trend of each index is analyzed by using Thiel coefficient, and the main driving factors of water use efficiency in South China are explored by Grey correlation method.【Conclusion】As regard to water use efficiency level, from 2000 to 2018, Fujian Province is the highest, far higher than Hainan, Guangdong Province, and Guangxi Autonomous Region is the worst. As for the spatial difference of index, the spatial difference of water consumption of ten thousand yuan GDP and ten thousand yuan industrial added value are the largest, and the spatial difference of irrigation water efficiency and comprehensive per capita water consumption are the smallest. In terms of driving factors, the four provinces are mostly affected by water consumption and drainage, and also affected by economy and total water resources,etc. |
| Key words: South China; Water Use Efficiency; Topsis analysis; Information weight; Thiel coefficient; Grey correlation method |
