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我室梁赛教授团队在《Water Research》(IF13.40)期刊发表题为“Pollution exacerbates interregional flows of virtual scarce water driven by energy demand in China”的学术论文

发布日期:2022-09-19    作者:     来源:     点击:

近日,大湾区城市环境安全与绿色发展教育部重点实验室学术带头人梁赛教授团队题为《Pollution exacerbates interregional flows of virtual scarce water driven by energy demand in China》的学术论文在国际环境领域著名期刊Water Research杂志上发表,论文第一作者为博士生李慧,通讯作者为梁雨晗博士后。




    论文DOI:https://doi.org/10.1016/j.watres.2022.118980

水是人类不可缺少的自然资源。水资源供需不足及水质退化使得水资源短缺成为阻碍中国社会经济可持续发展的重要挑战。能源生产是造成水资源短缺的主要因素之一。鉴于能源和水资源之间的关联性,系统地研究水-能耦联关系对于缓解水资源短缺至关重要。

能源生产和消费之间的地理分离使得确保能源和水安全的政策设计更加复杂化。能源资源的转移促使稀缺水隐含在商品贸易中跨区域流动,进一步加剧能源出口地区的水资源压力。基于投入产出方法解析能源需求驱动下的虚拟稀缺水流,可从供应链视角揭示水-能空间关联,为制定水-能协同管理策略提供数据基础和科学支撑。

以往研究通常根据蓝水足迹(取水量或水消耗量)和基于水量的区域水资源压力指数(取水量或水资源消耗量/水资源总量)核算虚拟稀缺水流,而未考虑灰水足迹(将污染负荷同化吸收所需水量)及水质退化对可用水资源量的约束。有研究者基于灰水足迹概念,开发了基于水质-水量的区域水资源压力评估方法,但主要从生产视角出发着力于当地水资源管理。供应链作用下,能源需求驱动的虚拟稀缺水流对水质性缺水的影响尚未可知。

本研究拟在水-能关联背景下,将水质纳入虚拟稀缺水流评估中。首先,通过比较灰水足迹、取水量、及可用水资源量,提出改进的基于水质-水量的稀缺水量化方法。然后,将2012年和2017年中国31地区48部门(其中包括11个能源部门)的稀缺水数据与多区域投入产出模型相结合,解析能源需求驱动的虚拟稀缺流。本研究通过全面考虑水质和水量要素,分析了能源需求驱动的虚拟稀缺水流对区域水资源短缺的影响。研究结果可为制定能源相关和区域层面水资源管理策略提供详细信息。

英文摘要:

Existing studies on the virtual scarce water flows within the water-energy context focus on water quantity while largely ignoring water quality. This study improves the quantification method of scarce water uses by considering both blue water (representing water quantity) and grey water (indicating water quality). Based on a scarce-water extended multi-regional input–output model, we investigate the virtual scarce water flows driven by energy demand across 31 Chinese regions in 2012 and 2017. The results show that considering water quality provides new insights into the patterns of interregional flows of virtual scarce water driven by energy demand. The virtual integrated scarce water (VISW) flows, which consider both water quantity and quality, are 5 times the volume of virtual quantity-based scarce water (VQSW) flows. Moreover, certain regions (e.g., Hebei) are recognized as net VISW exporters, but are net importers in terms of VQSW. There are significant differences in the critical interregional pairs identified based on net VISW flows (e.g., Shandong–Zhejiang, and Shandong-Guangdong) and net VQSW flows (e.g., Heilongjiang-Guangdong, and Liaoning–Shaanxi). To reduce water scarcity based on the combined effect of both quantity and quality, the critical VISW interregional pairs should enhance cooperation through compensation payments and interregional technology transfer. This study highlights the importance of water quality in the assessment of virtual scarce water uses. Employing virtual scarce water as a policy tool to mitigate water scarcity might fail without the consideration of water quality.


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