当前位置: X-MOL 学术Urban Clim. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Pervious area change as surrogate to diverse climatic variables trends in the CONUS: A county-scale assessment
Urban Climate ( IF 6.4 ) Pub Date : 2020-11-05 , DOI: 10.1016/j.uclim.2020.100733
Yaser Abunnasr , Mario Mhawej

The increase in worldwide population is putting much pressure on the existent urban management plans. In this context, strategies and policies should be updated to conserve natural resources, but more importantly, to improve inhabitants' well-being. Studies focusing on pervious areas have many potentials, particularly regarding the assessment of potential green infrastructures within the vicinities of cities. This study highlights the pervious area change between 2001 and 2016 within every county in the CONtiguous United States (CONUS) based on the National Land Cover Database (NLCD). The study found that 43 different counties can be considered dense. A statistical analysis is followed, highlighting the air temperature, wind speed, precipitation, solar radiation, and Normalized Difference Vegetation Index (NDVI) trends in five characteristic counties. These datasets were retrieved from diverse remote sensing and satellite platforms between 1980 and 2019. The main results also found that air temperature was significantly (at α = 0.95) increasing for the same period. The other climatic variables depict fluctuating and usually insignificant trends. Such information would benefit decision- and policy-makers to focus their initiatives towards the most vulnerable counties while projecting different scenarios based on their current and historical conditions. Furthermore, this approach can be portable to other countries.



中文翻译:

持续的面积变化替代了CONUS中各种气候变量趋势:县级评估

全球人口的增加给现有的城市管理计划带来了很大压力。在这种情况下,应更新战略和政策,以保护自然资源,但更重要的是,要改善居民的福祉。着眼于透水地区的研究具有许多潜力,尤其是在评估城市附近潜在的绿色基础设施方面。这项研究根据国家土地覆盖数据库(NLCD)突出显示了美国连续州(CONUS)中每个县在2001年至2016年之间的先前区域变化。研究发现,可以将43个不同的县视为密集县。随后进行统计分析,突出显示气温,风速,降水,太阳辐射,和五个特征县的归一化植被指数(NDVI)趋势。这些数据集是从1980年至2019年之间从不同的遥感和卫星平台中获取的。主要结果还发现,同期的气温显着升高(α= 0.95)。其他气候变量描述的是波动的且通常微不足道的趋势。这些信息将使决策者和决策者将其计划重点放在最脆弱的县上,同时根据当前和历史情况预测不同的情况。此外,这种方法可以移植到其他国家。95)同期增长。其他气候变量描述的是波动的且通常微不足道的趋势。这些信息将使决策者和决策者将其计划重点放在最脆弱的县上,同时根据当前和历史情况预测不同的情况。此外,这种方法可以移植到其他国家。95)同期增长。其他气候变量描述的是波动的且通常微不足道的趋势。这些信息将使决策者和决策者将其计划重点放在最脆弱的县上,同时根据当前和历史情况预测不同的情况。此外,这种方法可以移植到其他国家。

更新日期:2020-11-06
down
wechat
bug