首页> 外文期刊>International Journal of Environmental Research and Public Health >The Impacts of Spatiotemporal Landscape Changes on Water Quality in Shenzhen, China
【24h】

The Impacts of Spatiotemporal Landscape Changes on Water Quality in Shenzhen, China

机译:深圳市时空景观变化对水质的影响

获取原文
           

摘要

The urban landscape in China has changed rapidly over the past four decades, which has led to various environmental consequences, such as water quality degradation at the regional scale. To improve water restoration strategies and policies, this study assessed the relationship between water quality and landscape change in Shenzhen, China, using panel regression analysis. The results show that decreases in natural and semi-natural landscape compositions have had significant negative effects on water quality. Landscape composition and configuration changes accounted for 39–58% of the variation in regional water quality degradation. Additionally, landscape fragmentation indices, such as patch density (PD) and the number of patches (NP), are important indicators of the drivers of water quality degradation. PD accounted for 2.03–5.44% of the variability in water quality, while NP accounted for ?1.63% to ?4.98% of the variability. These results indicate that reducing landscape fragmentation and enhancing natural landscape composition at the watershed scale are vital to improving regional water quality. The study findings suggest that urban landscape optimization is a promising strategy for mitigating urban water quality degradation, and the results can be used in policy making for the sustainable development of the hydrological environment in rapidly urbanizing areas.
机译:在过去的四十年中,中国的城市景观发生了迅速的变化,导致了各种环境后果,例如区域范围内的水质恶化。为了改善水恢复策略和政策,本研究使用面板回归分析评估了中国深圳的水质与景观变化之间的关系。结果表明,自然和半自然景观成分的减少对水质具有明显的负面影响。景观组成和配置变化占区域水质退化变化的39–58%。此外,景观破碎指数,例如斑块密度(PD)和斑块数量(NP),是水质退化驱动因素的重要指标。 PD占水质变化的2.03-5.44%,而NP占水质变化的1.63%至4.98%。这些结果表明,在流域范围内减少景观破碎化并增加自然景观组成对改善区域水质至关重要。研究结果表明,城市景观优化是缓解城市水质退化的一种有前途的策略,其结果可用于快速城市化地区水文环境可持续发展的政策制定。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号