水资源与水工程学报

文章摘要

易武英，苏维词，喻理飞，赵卫权，邢丹.基于STIRPAT扩展模型平塘县农业水足迹变化及驱动机制研究Journal of Water Resources and Water Engineering[J].,2018,29(5):243-248

基于STIRPAT扩展模型平塘县农业水足迹变化及驱动机制研究

Study on the change of agricultural water footprint and driving force mechanism based on STIRPAT extended model in Pingtang County

DOI：10.11705/j.issn.1672-643X.2018.05.40

中文关键词: 农业水足迹驱动力 STIRPAT扩展模型喀斯特峰丛洼地

英文关键词: agricultural water footprint driving force STIRPAT extended model karst peak cluster depression

基金项目:贵州省科技计划项目（黔科合SY字［2015］3018）；贵州省科技计划项目（黔科合基础［2016］1528-3）；国家自然科学基金项目（31460225）

Author Name	Affiliation
YI Wuying^1,2, SU Weici^2,3, YU Lifei¹, ZHAO Weiquan², XING Dan⁴	(1.贵州大学生命科学学院，贵州贵阳 550025； 2.贵州科学院贵州省山地资源研究所，贵州贵阳550001；3.重庆师范大学地理与旅游学院，重庆 400047； 4.贵州省农业科学院蚕业研究所，贵州贵阳 550006）

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中文摘要:

平塘县水资源短缺问题突出，农业生产使得水资源匮乏日益加剧，因此，该地区急需明晰农业水资源利用关键影响因素，以达到构建低水耗高效农业生产模式，提高水资源利用效率目标。利用水足迹核算模型，定量测算2001-2015年平塘县农业用水状况，在经典IPAT环境压力等式基础上，从人口、经济、技术、城镇化、膳食结构、气候6个方面，构建水足迹STIRPAT扩展模型，剖析平塘县农业水足迹变化主要驱动因素。结果显示：平塘县农业水足迹从2001年6.02×10⁸ m³增加到2015年8.60×10⁸ m³，增加了42.86%，绿水、蓝水的增加主要由于农业产业结构调整、种植技术改进、作物新品种推广等，灰水水足迹快速增长主要由于化肥大量使用；平塘县农业水足迹驱动因子贡献率由大到小排序为：膳食结构>降水量>人口>经济>技术>城镇化，上述驱动因子每变化1%，分别导致农业水足迹总量变化-0.1071%、0.09393%、0.0684%、0.0585%、0.0581%、0.0453%。平塘县属于典型喀斯特峰丛洼地区，由于特殊“二元”结构特征，地表调蓄功能极弱，农药化肥大量使用，导致灰水对农业用水增长率的贡献率较大，而经济欠发达，生活水平低，以植物性食物为主的膳食结构，在一定程度节省农业用水。

英文摘要:

Pingtang County is facing severe water shortage and the agricultural water use makes the situation worse; therefore, there is an urgent need to clarify the key factors affecting the utilization of agricultural water resources in this area, to construct high efficiency agricultural production model, and to improve water resources use efficiency. Using the water footprint research model, quantitative estimation of agricultural water use in Pingtang County from 2001 to 2015 was carried out, and the STIRPAT extension model of water footprint variation was constructed considering six factors including population, economy, technology, urbanization, dietary structure and climate and based on the classical IPAT environmental pressure equation.The main driving factors of agricultural water footprint change in Pingtang County was analyzed. The results show that: the water footprint of Pingtang County increased by 42.86% from 6.02×10⁸m³ in 2001 to 8.60×10⁸m³ in 2015. The increasing footprint of green water and blue water was due to the adjustment of agricultural industrial structure, the improvement of planting technology, the extension of new crop varieties. The rapid growth of ash water footprint was mainly due to the heavy use of chemical fertilizers; The driving contribution of the driving factor of agricultural water footprint change in Pingtang County was ranked from large to small as follows: dietary structure > precipitation > population > economy > Technology > urbanization, and every 1% change in the above driving factors will cause the change of the total agricultural water footprint -0.1071%, 0.09393%, 0.0684%, 0.0585%, 0.0581%, and 0.0453%, respectively. Pingtang County belongs to a typical karst peak cluster depression, and surface storage function is very weak, due to the special surface and underground "dual" structural characteristics. The contribution rate of grey water to agricultural water use growth rate is large, due to heavy use of pesticides and fertilizers. However, the economy is underdeveloped, with low living standard, the dietary structure are mainly vegetative food, which saves agricultural water to a certain extent.

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