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Identification of ventilation corridors under the background of typical high temperature and pollution days in the Beijing-Tianjin-Hebei region, China
Urban Climate ( IF 6.0 ) Pub Date : 2024-08-03 , DOI: 10.1016/j.uclim.2024.102081 Yanan Liu , Xin Zhang , Yanmei Chen
Urban Climate ( IF 6.0 ) Pub Date : 2024-08-03 , DOI: 10.1016/j.uclim.2024.102081 Yanan Liu , Xin Zhang , Yanmei Chen
The scientific identification of ventilation corridors according to the circulation situation and evaluation of their ventilation efficiency are critical to mitigating regional climatic and environmental problems and optimizing the ventilation process. In this study, we analyzed the circulation types and near-surface wind fields during extreme events of high-temperature and air pollution from 2016 to 2021 using the Lamb-Jenkinson (L-J) circulation classification method. Using meteorological, remote sensing, land use type, and other data, we established two regional-scale models: one for identifying ventilation corridors and the other for evaluating ventilation efficiency. The results showed that the Beijing-Tianjin-Hebei region (BTH) was controlled by N-type circulation, with a high likelihood of PM pollution of moderate degree or above, while being controlled by C-type circulation, resulting in more occurrences of high-temperature days. Based on the above two typical near-surface wind fields when atmospheric environmental problems occur, the three-level ventilation corridor network system to alleviate the climate and environmental problems in the BTH was identified and evaluated. Among them, there were 4 first-level ventilation corridors with a total length of 2658.91 km, 6 second-level ventilation corridors with a total length of 2140.86 km, and 36 third-level ventilation corridors with a total length of 4471.58 km. Our findings should provide a scientific basis for designing regional ecological security patterns conducive to regional sustainable development.
中文翻译:
京津冀地区典型高温污染日背景下通风廊道识别
根据流通情况科学识别通风廊道并评估其通风效率对于缓解区域气候环境问题、优化通风过程至关重要。本研究采用Lamb-Jenkinson(LJ)环流分类方法对2016年至2021年高温和空气污染极端事件期间的环流类型和近地表风场进行了分析。利用气象、遥感、土地利用类型和其他数据,我们建立了两个区域尺度模型:一个用于识别通风走廊,另一个用于评估通风效率。结果表明,京津冀地区受N型环流控制,PM中度及以上污染的可能性较大,同时受C型环流控制,导致高浓度PM污染发生较多。 - 温度天数。基于上述大气环境问题发生时的两个典型近地表风场,对缓解京津冀气候环境问题的三级通风廊道网络系统进行了识别和评价。其中,一级通风廊道4条,总长2658.91公里;二级通风廊道6条,总长2140.86公里;三级通风廊道36条,总长4471.58公里。我们的研究结果将为设计有利于区域可持续发展的区域生态安全格局提供科学依据。
更新日期:2024-08-03
中文翻译:
京津冀地区典型高温污染日背景下通风廊道识别
根据流通情况科学识别通风廊道并评估其通风效率对于缓解区域气候环境问题、优化通风过程至关重要。本研究采用Lamb-Jenkinson(LJ)环流分类方法对2016年至2021年高温和空气污染极端事件期间的环流类型和近地表风场进行了分析。利用气象、遥感、土地利用类型和其他数据,我们建立了两个区域尺度模型:一个用于识别通风走廊,另一个用于评估通风效率。结果表明,京津冀地区受N型环流控制,PM中度及以上污染的可能性较大,同时受C型环流控制,导致高浓度PM污染发生较多。 - 温度天数。基于上述大气环境问题发生时的两个典型近地表风场,对缓解京津冀气候环境问题的三级通风廊道网络系统进行了识别和评价。其中,一级通风廊道4条,总长2658.91公里;二级通风廊道6条,总长2140.86公里;三级通风廊道36条,总长4471.58公里。我们的研究结果将为设计有利于区域可持续发展的区域生态安全格局提供科学依据。