A tax that is effective in reducing pollution improves public health. We estimate the ATE of a gas-guzzler tax on pollution, controlling for average yearly rainfall, traffic congestion, the level of industrialization, and whether the city has a train or a metro by using a fractional probit ...
rainfall, annualaveragerelative humidity,Julyaveragetemperature, altitude, and annualsunshine hours;however, annualsunshine hoursandaltitudeareofnegative impact. actazool.org actazool.org 结果表明,按其影响程度大小,影响中国翼手目动物地理分布的连续型环境因子依次为年平均气温、大于零度日数 、一月份平均气温、无...
Surface winds shifted to the north and northwest in the late morning, and trace rainfall amounts were also recorded over the region. PM2.5 concentrations dropped sharply in the late morning, consistent with the wind direction shift, an incoming cleaner air mass, and removal of particles by ...
This study combines a nonlinear rainfallrunoff theory with probabilistic water balance model to represent varied source area runoff as a function of rainfall depth and a runoff coefficient at hillslope scale. Analytical solutions of the soil-moisture probability density function and average water balance...
Introduction With the renewed drive towards malaria elimination, there is a need for improved surveillance tools. While time series analysis is an important tool for surveillance, prediction and for measuring interventions’ impact, approximations by com
This causes Northeast Brazil to have above- (below-) average rainfall, particularly in its northern sector [30,35]. Figure 1. Locations of the weather stations in northern Northeast Brazil (NNEB) from where data were sourced. MA, PI, CE, and RN stand for Maranhão, Piauí, Ceará, and...
The negative NSE values indicate that historical monthly averages from IDEAM records are better predictors than both MERRA2 and ERA5 rainfall products. Keywords: rainfall; reanalysis; ERA 5; MERRA 2; Thiessen polygons 1. Introduction Appropriate knowledge of the rainfall regime in a watershed is ...
whereas functional regression has high bias and low variance. In [8], Bayesian networks were used in rainfall forecasting, involving conditional chances between different nodes. This model worked well for the prediction of monthly rainfall, but it requires a great deal of historical data. Otherwise...
With this sharp rise in mountain altitude, the precipitation was also significantly increased. Northwest Loess Plateau, where the No. 53 station is positioned, belongs to semi-arid areas, where the desert is the main landscape, and rainfall is scarce (100 mm–200 mm). However, due to the ...
The question on sign of shape parameter has been discussed for other quantities as well, e.g., maximum daily rainfall. For this quantity, Papalexiou and Koutsoyiannis investigated an impressive number of 15,137 records from all over the world, fitting GEV distributions [25]. They found that...