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大温哥华地区不透水面和径流水文影响的时间序列监测。

Time series monitoring of impervious surfaces and runoff impacts in Metro Vancouver.

机构信息

Integrated Remote Sensing Studio, Department of Forest Resources Management, Faculty of Forestry, University of British Columbia, 2424 Main Mall, Vancouver, British Columbia V6T 1Z4, Canada.

Centre for Interactive Research on Sustainability, School of Architecture + Landscape Architecture, University of British Columbia, 2260 West Mall, Vancouver, British Columbia V6T 1Z4, Canada.

出版信息

Sci Total Environ. 2021 Mar 15;760:143873. doi: 10.1016/j.scitotenv.2020.143873. Epub 2020 Dec 3.

Abstract

Urban areas are increasing rapidly worldwide, leading to widespread changes in land surfaces over time. Urbanized land cover is heterogeneous, and is characterized by a large areal proportion of manufactured impervious surfaces which are linked to ecological degradation, habitat loss, and increase in precipitation runoff leading to pollution and safety risks. Data from the Landsat series of satellites present an opportunity to characterize urban land cover and impervious surfaces, over a large spatial and temporal scale. In this study, land cover changes from 1990 to 2015 are characterized in the large metropolitan area of Metro Vancouver, Western Canada. An ordinal regression is used to link Landsat spectral data with a detailed land classification containing classes of impervious surface used by municipal planners in the region (Spearman's Rho = 0.76). The regression is then used to classify a time series of imagery where static land classifications are not available, providing a 25-year time-series of change in impervious surface area. A trend in increasing impervious surface was detected across the municipalities in the region, with an overall areal increase of 31.96%. Precipitation events were then simulated at each time step, using precipitation rates adjusted for expected changes in climate by 2050. Both runoff depths and inundated area increased over time, with a 51% increase in area inundated by at least 5 cm. Runoff depths were evaluated for each municipality in the region, and compared to projected populations for 2050 to highlight communities that may face elevated levels of runoff risk. Results show a steady increase in impervious surfaces in the region. Impacts of future extreme precipitation events vary across the region, with flat and low-lying topographies appearing to be more severely affected, along with areas containing extensive impervious development.

摘要

全球城市面积迅速增加,导致土地表面随时间发生广泛变化。城市化的土地覆盖是不均匀的,其特点是大面积的人造不透水表面,这与生态退化、生境丧失以及降水径流量增加有关,从而导致污染和安全风险。卫星 Landsat 系列的数据提供了一个机会,可以在较大的时空尺度上描述城市土地覆盖和不透水面。本研究以加拿大西部大温哥华大都市区为例,描述了 1990 年至 2015 年的土地覆盖变化。使用有序回归将 Landsat 光谱数据与详细的土地分类联系起来,该分类包含该地区市政规划者使用的不透水面类别(Spearman's Rho=0.76)。然后,将回归用于对没有静态土地分类的时间序列图像进行分类,从而提供了 25 年不透水面面积变化的时间序列。检测到该地区各城市不透水面呈增加趋势,总面积增加了 31.96%。然后,根据到 2050 年预计气候变化调整降水率,在每个时间步模拟降水事件。随着时间的推移,径流量和淹没面积都有所增加,至少 5cm 淹没的面积增加了 51%。评估了该地区每个城市的径流量,并用 2050 年的预计人口进行了比较,以突出可能面临更高径流风险的社区。结果表明,该地区不透水面持续增加。未来极端降水事件的影响在整个地区有所不同,平坦和地势较低的地形似乎受到更严重的影响,还有广泛的不透水开发区域。

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