A sensitivity study of urbanization impacts on regional meteorology using a Bayesian functional analysis of variance [0.03%]
基于贝叶斯函数方差分析的城市化对区域气象影响的敏感性研究
Giacomo Moraglia,Matthew Bonas,Paola Crippa
Giacomo Moraglia
Urbanization affects atmospheric boundary layer dynamics by altering cloud formation and precipitation patterns through the urban heat island (UHI) effect, perturbed wind flows, and urban aerosols, that overall contribute to the urban rainf...
Utilizing non-stationary extreme value model to quantify extreme rainfall in two major cities in Bangladesh [0.03%]
利用非平稳极值模型量化孟加拉国两个主要城市极端降雨量
Asim K Dey,Mohammad Shaha A Patwary
Asim K Dey
Bangladesh is highly susceptible to the impacts of climate change, particularly extreme rainfall during the monsoon season, leading to severe floods and landslides. This study introduces a nonstationary generalized extreme value (GEV) model...
Prediction of heatwave related mortality magnitude, duration and frequency with climate variability and climate change information [0.03%]
基于气候变异性与气候变化信息的热浪相关死亡人数、持续时间和频次预测
Taha B M J Ouarda,Pierre Masselot,Céline Campagna et al.
Taha B M J Ouarda et al.
Given the link between climatic factors on one hand, such as climate change and low frequency climate oscillation indices, and the occurrence and magnitude of heat waves on the other hand, and given the impact of heat waves on mortality, th...
Exploring substitution random functions composed of stationary multi-Gaussian processes [0.03%]
基于多高斯过程的随机置换函数及应用研究
Julien Straubhaar,Philippe Renard
Julien Straubhaar
Simulation of random fields is widely used in Earth sciences for modeling and uncertainty quantification. The spatial features of these fields may have a strong impact on the forecasts made using these fields. For instance, in flow and tran...
A comparison of numerical approaches for statistical inference with stochastic models [0.03%]
随机模型统计推断的数值方法比较
Marco Bacci,Jonas Sukys,Peter Reichert et al.
Marco Bacci et al.
Due to our limited knowledge about complex environmental systems, our predictions of their behavior under different scenarios or decision alternatives are subject to considerable uncertainty. As this uncertainty can often be relevant for so...
Adaptive LASSO estimation for functional hidden dynamic geostatistical models [0.03%]
功能隐藏动态地理统计模型的自适应LASSO估计方法
Paolo Maranzano,Philipp Otto,Alessandro Fassò
Paolo Maranzano
We propose a novel model selection algorithm based on a penalized maximum likelihood estimator (PMLE) for functional hidden dynamic geostatistical models (f-HDGM). These models employ a classic mixed-effect regression structure with embedde...
An analytical approach to evaluate the impact of age demographics in a pandemic [0.03%]
分析评估人口年龄结构对新冠疫情影响的方法
Ismail Abdulrashid,Hamdi Friji,Kazim Topuz et al.
Ismail Abdulrashid et al.
The time required to identify and confirm risk factors for new diseases and to design an appropriate treatment strategy is one of the most significant obstacles medical professionals face. Traditionally, this approach entails several clinic...
The long-run analysis of COVID-19 dynamic using random evolution, peak detection and time series [0.03%]
基于随机演化、峰值检测和时间序列的COVID-19长期动态分析
Vaghawan Prasad Ojha,Shantia Yarahmadian,Richard Hunt Bobo
Vaghawan Prasad Ojha
It is now almost three years that COVID-19 has been the cause of misery for millions of people around the world. Many countries are in process of vaccination. Due to the social complexity of the problem, the future of decisions is not clear...
Spatiotemporal variations, photochemical characteristics, health risk assessment and mid pandemic changes of ambient BTEX in a west Asian metropolis [0.03%]
西亞大城市的室外BTEX的时空变化、光化学特性、健康风险评估及中期疫情変化研究
Sam Dehhaghi,Hossein Hasankhani,Ahmad Taheri
Sam Dehhaghi
This study examined the concentration of BTEX in Tehran from 2018 to 2020 in five monitoring stations with different backgrounds, which has been accomplished using the combination of passive sampling and GC-FID method. The total concentrati...
An innovative approach for predicting pandemic hotspots in complex wastewater networks using graph theory coupled with fuzzy logic [0.03%]
基于图论与模糊逻辑的复杂污水管网疫情预测新方法研究
Puru Dutt Sharma,Srinivas Rallapalli,Naga Rajiv Lakkaniga
Puru Dutt Sharma
Early prediction of COVID-19 infected communities (potential hotspots) is essential to limit the spread of virus. Diagnostic testing has limitations in big populations because it cannot deliver information at a fast enough rate to stop the ...