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结合成本核算与适宜性建模以识别需要基于自然的服务的高洪水风险区域。

Combining Co$ting Nature and Suitability Modeling to Identify High Flood Risk Areas in Need of Nature-Based Services.

作者信息

Prybutok Sara, Newman Galen, Atoba Kayode, Sansom Garett, Tao Zhihan

机构信息

Department of Landscape Architecture and Urban Planning, Texas A&M University, College Station, TX 77843, USA.

Department of Marine Biology, Texas A&M University at Galveston, Galveston, TX 77554, USA.

出版信息

Land (Basel). 2021 Aug;10(8). doi: 10.3390/land10080853. Epub 2021 Aug 15.

DOI:10.3390/land10080853
PMID:34532079
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8443209/
Abstract

Coastal areas are often subject to the severe consequences of flooding from intense storms or hurricanes. Increases in coastal development have amplified both flooding intensity and negative impacts for coastal communities. Reductions in pervious land cover and replacement with impervious ones have reduced the amount of ecosystem services. This research examines the services provided by nature-based solutions by applying outputs from Co$ting Nature models into suitability models to quantify ecosystem services along the Texas Coast. Results show that only around 13% of the Houston-Galveston coastal area has relatively high NBS, and nearly of the area shows relatively low NBS. The majority of the areas lie in the middle, which, due to increases in development, are at particular risk for becoming areas offering low NBS in the future if not treated. Such vulnerability assessment informs future implementation strategies for NBS in coastal communities to protect people and property from flooding.

摘要

沿海地区经常遭受强烈风暴或飓风引发的洪水带来的严重后果。沿海地区开发的增加加剧了洪水强度以及对沿海社区的负面影响。透水土地覆盖面积的减少和不透水土地的替代降低了生态系统服务的数量。本研究通过将“自然成本”模型的输出结果应用于适宜性模型,以量化德克萨斯海岸沿线的生态系统服务,从而检验基于自然的解决方案所提供的服务。结果表明,休斯顿-加尔维斯顿沿海地区只有约13%具有相对较高的基于自然的解决方案,而近 的地区显示出相对较低的基于自然的解决方案。大部分地区处于中等水平,由于开发的增加,如果不加以治理,这些地区未来特别有可能成为提供低水平基于自然的解决方案的区域。这种脆弱性评估为沿海社区基于自然的解决方案的未来实施策略提供了信息,以保护人员和财产免受洪水侵害。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/72de/8443209/6711544193c2/nihms-1736659-f0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/72de/8443209/f60ec3eba508/nihms-1736659-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/72de/8443209/88a06e3efd05/nihms-1736659-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/72de/8443209/0dadf7eab980/nihms-1736659-f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/72de/8443209/6711544193c2/nihms-1736659-f0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/72de/8443209/f60ec3eba508/nihms-1736659-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/72de/8443209/88a06e3efd05/nihms-1736659-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/72de/8443209/0dadf7eab980/nihms-1736659-f0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/72de/8443209/6711544193c2/nihms-1736659-f0004.jpg

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