Water conservation for plateau lakeside cities under the new development philosophy

IF 7 2区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES Ecological Indicators Pub Date : 2024-09-01 DOI:10.1016/j.ecolind.2024.112560
Xingfang Pei, Kun Yang, Senlin Zhu, Tingfang Jia, Chunxue Shang, Qingqing Wang, Rixiang Chen, Dingpu Li, Changqing Peng, Yi Luo
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Abstract

Urban progression influences water conservation by altering surface characteristics and local climate regimes, potentially posing significant risks to water sustainability and ecological integrity. Since 2015, the Chinese government has championed a new development philosophy aimed at promoting harmonious coexistence between human and nature. Based on the green connotation of the new development philosophy, this study simulated the spatial and temporal distribution of water conservation in five plateau lakeside cities (Plateau Lakeside City-PLC: Dianchi Lake Basin-DCB, Fuxian Lake Basin-FXB, Erhai Lake Basin-EHB, Qilu Lake Basin-QLB and Xingyun Lake Basin-XYB), established a comprehensive framework of indicators affecting water conservation, and quantified the changes in the drivers of water conservation. The results indicated that, except for DCB, the spatial distribution of water conservation in PLC exhibits similarity, but overall demonstrates a declining trend over time. The average importance of the factors in the PLC was weighed using Geodetector’s q value. The most critical factors affecting water conservation in PLC included climate change (precipitation: q_=0.66; evaporation: q_=0.57) and land cover (q_=0.45). In addition, the topography (slope: q_=0.39; elevation: q_=0.43), vegetation coverage (q_=0.30), and soil (plant available water content: q_=0.38; root restricting layer depth: q_=0.18) were influential factors followed climate change and land cover. Among the social factors, population density (q_=0.37) has a small impact on water conservation, while economic activities and human-related land activities (q_,q_ and q_ are all less than 0.1) do not show a significant impact, due to the government’s implementation of the new development philosophy, which balances development and conservation.
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新发展理念下的高原湖滨城市节水
城市化进程通过改变地表特征和当地气候系统来影响水资源保护,可能对水资源的可持续性和生态完整性构成重大风险。2015 年以来,中国政府倡导新发展理念,旨在促进人与自然和谐共生。基于新发展理念的绿色内涵,本研究模拟了五个高原湖滨城市(高原湖滨城市-PLC:滇池流域-DCB、抚仙湖流域-FXB、洱海流域-EHB、杞麓湖流域-QQLB 和星云湖流域-XYB)的节水时空分布,建立了影响节水的综合指标框架,并量化了节水驱动因素的变化。结果表明,除特大湖泊外,其他流域节水空间分布具有相似性,但总体上呈逐年下降趋势。利用 Geodetector 的 q 值对 PLC 中各因素的平均重要性进行了权衡。影响 PLC 节水的最关键因素包括气候变化(降水:q_=0.66;蒸发:q_=0.57)和土地覆盖(q_=0.45)。此外,地形(坡度:q_=0.39;海拔:q_=0.43)、植被覆盖率(q_=0.30)和土壤(植物可用水量:q_=0.38;根系限制层深度:q_=0.18)也是继气候变化和土地覆盖之后的影响因素。在社会因素中,人口密度(q_=0.37)对水源保护的影响较小,而经济活动和与人类相关的土地活动(q_、q_和 q_均小于 0.1)对水源保护的影响不大,这是因为政府实施了新的发展理念,兼顾了发展与保护。
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来源期刊
Ecological Indicators
Ecological Indicators 环境科学-环境科学
CiteScore
11.80
自引率
8.70%
发文量
1163
审稿时长
78 days
期刊介绍: The ultimate aim of Ecological Indicators is to integrate the monitoring and assessment of ecological and environmental indicators with management practices. The journal provides a forum for the discussion of the applied scientific development and review of traditional indicator approaches as well as for theoretical, modelling and quantitative applications such as index development. Research into the following areas will be published. • All aspects of ecological and environmental indicators and indices. • New indicators, and new approaches and methods for indicator development, testing and use. • Development and modelling of indices, e.g. application of indicator suites across multiple scales and resources. • Analysis and research of resource, system- and scale-specific indicators. • Methods for integration of social and other valuation metrics for the production of scientifically rigorous and politically-relevant assessments using indicator-based monitoring and assessment programs. • How research indicators can be transformed into direct application for management purposes. • Broader assessment objectives and methods, e.g. biodiversity, biological integrity, and sustainability, through the use of indicators. • Resource-specific indicators such as landscape, agroecosystems, forests, wetlands, etc.
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