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Spatial modeling of rainfall patterns and groundwater on the coast of northeastern Brazil
Urban Climate ( IF 6.0 ) Pub Date : 2021-07-03 , DOI: 10.1016/j.uclim.2021.100911
Marcos Vinícius da Silva 1 , Héliton Pandorfi 1 , Alexandre Maniçoba da Rosa Ferraz Jardim 1, 2 , José Francisco de Oliveira-Júnior 3 , Jesiele Silva da Divincula 1 , Pedro Rogerio Giongo 4 , Thieres George Freire da Silva 1, 2 , Gledson Luiz Pontes de Almeida 1 , Geber Barbosa de Albuquerque Moura 1 , Pabricio Marcos Oliveira Lopes 1, 5
Affiliation  

The objective of this study was to characterize the patterns of monthly rainfall in the mesoregions of Zona da Mata and Metropolitan of Recife in the state of Pernambuco, Brazil, based on geostatistical techniques and multivariate analysis, in addition to establishing rain flow strategies in urban centers and alerting of possible impacts on local aquifers. The meteorological data are from a 20-year time series (2000–2019). Maps of the projection of aquifers, hydrochemical and hydrogeological for the study region were established. The pluviometric data were submitted to descriptive, geostatistical, and multivariate analysis. The Gaussian model was the one that best fitted (R2 ≥ 0.84). The Atlantic interhemispheric sea surface temperature gradient together with Easterly Wave Disturbances, Intertropical Convergence Zone, sea breezes circulations, and trade winds interfered in the dynamics of coastal rains, especially on the Northeast Brazilian coast. The hydrogeological formation of groundwater on the coast, of the porous type, justified the higher flows of groundwater associated with the greater rainfall. Kriging maps were consistent in the spatialization of rains on the coast of Pernambuco and, thus, making it possible to assess the dynamics of rains and the creation of socio-economic strategies, to minimize the impacts during the period of heavy rains and major floods.



中文翻译:

巴西东北部海岸降雨模式和地下水的空间模拟

本研究的目的是基于地质统计技术和多变量分析,除了在城市中心建立雨流策略外,还描述了巴西伯南布哥州 Zona da Mata 和累西腓大都会中间区域的月降雨模式。并就对当地含水层的可能影响发出警报。气象数据来自 20 年时间序列(2000-2019)。绘制了研究区域的含水层、水化学和水文地质投影图。将雨量数据提交给描述性、地质统计和多变量分析。高斯模型是最适合的模型(R 2 ≥ 0.84)。大西洋半球间海面温度梯度以及东风波扰动、热带辐合带、海风环流和信风干扰了沿海降雨的动态,尤其是在巴西东北部海岸。沿海地下水的水文地质构造,多孔类型,证明了与更大降雨量相关的更高地下水流量是合理的。克里金地图在伯南布哥海岸的降雨空间化方面是一致的,因此可以评估降雨动态和制定社会经济战略,以尽量减少大雨和大洪水期间的影响。

更新日期:2021-07-04
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