<br>基于水效益的城市生态环境质量评价生态指数,IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

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基于水效益的城市生态环境质量评价生态指数
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing ( IF 4.7 ) Pub Date : 2021-07-21 , DOI: 10.1109/jstars.2021.3098667
Zhijun Jiao ₁ , Genyun Sun ₁ , Aizhu Zhang ₁ , Xiuping Jia ₂ , Hui Huang ₃ , Yanjuan Yao ₄

Affiliation

城市化和气候变化导致城市生态环境对水的依赖程度越来越高。然而，城市开放水域和绿地不断减少，水资源日益紧缺。迫切需要一种符合当前城市现状、能够快速评估城市生态环境质量（UEEQ）的方法。传统UEEQ方法抛弃了水因素，忽视了水对生态环境的影响。在现代城市中，水作为城市生态环境运行和维护的保障，必须在UEEQ系统中得到考虑。因此，我们提出了基于水效益的生态指数（WBEI）。在WBEI的制定中，我们综合了水生态因子、热环境和土地覆盖类型来代表地表生态环境。我们首先构建表面潜在水丰度指数（SPWI）来描述水的空间分布。 SPWI和归一化潜热指数的结合使WBEI能够更好地评估水域周围的UEEQ。然后，我们选择地表温度来代表热环境。 WBEI采用比值植被指数和归一化差异土壤指数来表征土地覆盖类型。最后，我们使用基于熵的融合方法来融合这些指标并获得WBEI值。使用具有各种环境特征的八个数据集测试了 WBEI 的性能。结果表明，75%的WBEI结果与EI值一致。 WBEI与EI的相关系数为0.8883，明显优于其他方法。研究显示，青岛西海岸经济新区UEEQ正以每年3.7%的速度持续下降。 2013年至2017年，环境良好地区比例下降21.46%，环境较差地区比例上升12.76%。城市内部UEEQ沿主要交通路线呈放射状向外恶化，郊区UEEQ变化不明显，水域UEEQ明显恶化。这些相关研究成果可以为城市绿色可持续发展提供量化信息。

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Water Benefit-Based Ecological Index for Urban Ecological Environment Quality Assessments

Urbanization and climate change cause the urban ecological environment to become increasingly dependent on water. However, open water areas and green spaces in cities are constantly decreasing, making water resources increasingly scarce. There is an urgent need for a method that aligns with the current urban status and can quickly assess the urban ecological–environmental quality (UEEQ). Traditional UEEQ methods have abandoned the water factor, neglecting the influence of water on the ecological environment. In modern cities, water, which guarantees the operation and maintenance of the urban ecological environment, must be considered in the UEEQ system. Therefore, we propose a water benefit-based ecological index (WBEI). In the formulation of the WBEI, we integrate a water ecofactor, the thermal environment, and the land cover type to represent the surface ecological environment. We first construct a surface potential water abundance index (SPWI) to describe the spatial distribution of water. The combination of the SPWI and the normalized difference latent heat index allows the WBEI to better evaluate the UEEQ around water areas. Then, we choose the land-surface temperature to represent the thermal environment. To represent the land cover type, the ratio vegetation index and the normalized difference soil index are adopted in the WBEI. Finally, we use an entropy-based fusion method to fuse these indicators and obtain the WBEI values. The performance of the WBEI is tested using eight datasets with a variety of environmental characteristics. The results show that 75% of the WBEI results are consistent with the EI values. The correlation coefficient between the WBEI and EI is 0.8883, which is significantly better than those of the other methods. The research shows that the UEEQ of the Qingdao West-Coast Economic New Zone is declining continuously at a rate of 3.7% per year. From 2013 to 2017, the percentage of areas with good environments decreased by 21.46%, and the percentage of areas with poor environments increased by 12.76%. The UEEQ inside the city deteriorated radially outward along the main traffic route, the UEEQ in the suburbs did not change significantly, and the UEEQ in the water areas deteriorated significantly. These relevant research results can provide quantitative information for the green sustainable development of cities.

更新日期：2021-07-21

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