Background:A remarkable drop in tuberculosis(TB)incidence has been achieved in China,although in 2019 it was still considered the second most communicable disease.However,TB’s spatial features and risk factors in urb...Background:A remarkable drop in tuberculosis(TB)incidence has been achieved in China,although in 2019 it was still considered the second most communicable disease.However,TB’s spatial features and risk factors in urban areas remain poorly understood.This study aims to identify the spatial diferentiations and potential infuencing factors of TB in highly urbanized regions on a fne scale.Methods:This study included 18 socioeconomic and environmental variables in the four central districts of Guangzhou,China.TB case data obtained from the Guangzhou Institute of Tuberculosis Control and Prevention.Before using Pearson correlation and a geographical detector(GD)to identify potential infuencing factors,we conducted a global spatial autocorrelation analysis to select an appropriate spatial scales.Results:Owing to its strong spatial autocorrelation(Moran’s I=0.33,Z=4.71),the 2 km×2 km grid was selected as the spatial scale.At this level,TB incidence was closely associated with most socioeconomic variables(0.31<r<0.76,P<0.01).Of fve environmental factors,only the concentration of fne particulate matter displayed signifcant correlation(r=0.21,P<0.05).Similarly,in terms of q values derived from the GD,socioeconomic variables had stronger explanatory abilities(0.08<q<0.57)for the spatial diferentiation of the 2017 incidence of TB than environmental variables(0.06<q<0.27).Moreover,a much larger proportion(0.16<q<0.89)of the spatial diferentiation was interpreted by pairwise interactions,especially those(0.60<q<0.89)related to the 2016 incidence of TB,ofcially appointed medical institutions,bus stops,and road density.Conclusions:The spatial heterogeneity of the 2017 incidence of TB in the study area was considerably infuenced by several socioeconomic and environmental factors and their pairwise interactions on a fne scale.We suggest that more attention should be paid to the units with pairwise interacting factors in Guangzhou.Our study provides helpful clues for local authorities implementing more efective intervention measures to reduce TB incidence in China’s municipal areas,which are featured by both a high degree of urbanization and a high incidence of TB.展开更多
The urban and community forestry movement in the United States has matured over the last 20 years from managing street trees, to understanding the benefits of trees in urban ecosystems, and now to managing urban green...The urban and community forestry movement in the United States has matured over the last 20 years from managing street trees, to understanding the benefits of trees in urban ecosystems, and now to managing urban green infrastructure. This paper introduced the history, development, and major accomplishments of the urban and community forestry movement, highlighted the economic, ecological, environmental, and social values of forests and trees to communities, and discussed issues and trends of the urban and community forestry program in the United States.展开更多
This paper explores urban temperature in Hong Kong using long-term time series. In particular, the characterization of the urban temperature trend was investigated using the seasonal unit root analysis of monthly mean...This paper explores urban temperature in Hong Kong using long-term time series. In particular, the characterization of the urban temperature trend was investigated using the seasonal unit root analysis of monthly mean air temperature data over the period January 1970 to December 2013. The seasonal unit root test makes it possible to determine the stochastic trend of monthly temperatures using an autoregressive model. The test results showed that mean air temperature has increased by 0.169~ C （10 yr） - 1 over the past four decades. The model of monthly temperature obtained from the seasonal unit root analysis was able to explain 95.9% of the variance in the measured monthly data -- much higher than the variance explained by the ordinary least-squares model using annual mean air temperature data and other studies alike. The model accurately predicted monthly mean air temperatures between January 2014 and December 2015 with a root-mean-square percentage error of 4.2%. The correlation between the predicted and the measured monthly mean air temperatures was 0.989. By analyzing the monthly air temperatures recorded at an urban site and a rural site, it was found that the urban heat island effect led to the urban site being on average 0.865~C warmer than the rural site over the past two decades. Besides, the results of correlation analysis showed that the increase in annual mean air temperature was significantly associated with the increase in population, gross domestic product, urban land use, and energy use, with the R2 values ranging from 0.37 to 0.43.展开更多
Flood runoff models of urbanization from farmland based on the physical characteristics of a basin have been minimally used in previous research until today. Consequently, the runoff analysis has not been performed th...Flood runoff models of urbanization from farmland based on the physical characteristics of a basin have been minimally used in previous research until today. Consequently, the runoff analysis has not been performed that is based on physical basis. Therefore, this research undertook flood discharge analysis from urbanization using the unit flood discharge concept that is enhanced the previous research. The study area was selected at the Kurabe River basin, which is 17.5 km2 in area having a very steep landscape. Twenty-one rainfall events at 10-minute intervals were selected, and five urbanized years were tested. From 1976 to 2009 during 35 years, the flood discharge increased approximately 2.0 times, in which residential areas increased from 23% to 48%;the maximum specific discharge was 21.7 m3·s-1·km-2 in a some block, which is a remarkably large amount. Furthermore, following issues investigated: changes in the hydrograph were associated with urbanization, the effect of a small reservoir aiming to cut down the peak discharge and the relationship between the unit discharge, and the relationship between our method and the discharge estimated by a “Rational Formula”. In particular, the effect of the small reservoir for flood control was found to be remarkably efficient. Finally, the validity of our method was confirmed at the study area in the observed discharge. This result is very useful for estimating runoff discharge changes by urbanization from farmland.展开更多
文摘Background:A remarkable drop in tuberculosis(TB)incidence has been achieved in China,although in 2019 it was still considered the second most communicable disease.However,TB’s spatial features and risk factors in urban areas remain poorly understood.This study aims to identify the spatial diferentiations and potential infuencing factors of TB in highly urbanized regions on a fne scale.Methods:This study included 18 socioeconomic and environmental variables in the four central districts of Guangzhou,China.TB case data obtained from the Guangzhou Institute of Tuberculosis Control and Prevention.Before using Pearson correlation and a geographical detector(GD)to identify potential infuencing factors,we conducted a global spatial autocorrelation analysis to select an appropriate spatial scales.Results:Owing to its strong spatial autocorrelation(Moran’s I=0.33,Z=4.71),the 2 km×2 km grid was selected as the spatial scale.At this level,TB incidence was closely associated with most socioeconomic variables(0.31<r<0.76,P<0.01).Of fve environmental factors,only the concentration of fne particulate matter displayed signifcant correlation(r=0.21,P<0.05).Similarly,in terms of q values derived from the GD,socioeconomic variables had stronger explanatory abilities(0.08<q<0.57)for the spatial diferentiation of the 2017 incidence of TB than environmental variables(0.06<q<0.27).Moreover,a much larger proportion(0.16<q<0.89)of the spatial diferentiation was interpreted by pairwise interactions,especially those(0.60<q<0.89)related to the 2016 incidence of TB,ofcially appointed medical institutions,bus stops,and road density.Conclusions:The spatial heterogeneity of the 2017 incidence of TB in the study area was considerably infuenced by several socioeconomic and environmental factors and their pairwise interactions on a fne scale.We suggest that more attention should be paid to the units with pairwise interacting factors in Guangzhou.Our study provides helpful clues for local authorities implementing more efective intervention measures to reduce TB incidence in China’s municipal areas,which are featured by both a high degree of urbanization and a high incidence of TB.
文摘The urban and community forestry movement in the United States has matured over the last 20 years from managing street trees, to understanding the benefits of trees in urban ecosystems, and now to managing urban green infrastructure. This paper introduced the history, development, and major accomplishments of the urban and community forestry movement, highlighted the economic, ecological, environmental, and social values of forests and trees to communities, and discussed issues and trends of the urban and community forestry program in the United States.
文摘This paper explores urban temperature in Hong Kong using long-term time series. In particular, the characterization of the urban temperature trend was investigated using the seasonal unit root analysis of monthly mean air temperature data over the period January 1970 to December 2013. The seasonal unit root test makes it possible to determine the stochastic trend of monthly temperatures using an autoregressive model. The test results showed that mean air temperature has increased by 0.169~ C （10 yr） - 1 over the past four decades. The model of monthly temperature obtained from the seasonal unit root analysis was able to explain 95.9% of the variance in the measured monthly data -- much higher than the variance explained by the ordinary least-squares model using annual mean air temperature data and other studies alike. The model accurately predicted monthly mean air temperatures between January 2014 and December 2015 with a root-mean-square percentage error of 4.2%. The correlation between the predicted and the measured monthly mean air temperatures was 0.989. By analyzing the monthly air temperatures recorded at an urban site and a rural site, it was found that the urban heat island effect led to the urban site being on average 0.865~C warmer than the rural site over the past two decades. Besides, the results of correlation analysis showed that the increase in annual mean air temperature was significantly associated with the increase in population, gross domestic product, urban land use, and energy use, with the R2 values ranging from 0.37 to 0.43.
文摘Flood runoff models of urbanization from farmland based on the physical characteristics of a basin have been minimally used in previous research until today. Consequently, the runoff analysis has not been performed that is based on physical basis. Therefore, this research undertook flood discharge analysis from urbanization using the unit flood discharge concept that is enhanced the previous research. The study area was selected at the Kurabe River basin, which is 17.5 km2 in area having a very steep landscape. Twenty-one rainfall events at 10-minute intervals were selected, and five urbanized years were tested. From 1976 to 2009 during 35 years, the flood discharge increased approximately 2.0 times, in which residential areas increased from 23% to 48%;the maximum specific discharge was 21.7 m3·s-1·km-2 in a some block, which is a remarkably large amount. Furthermore, following issues investigated: changes in the hydrograph were associated with urbanization, the effect of a small reservoir aiming to cut down the peak discharge and the relationship between the unit discharge, and the relationship between our method and the discharge estimated by a “Rational Formula”. In particular, the effect of the small reservoir for flood control was found to be remarkably efficient. Finally, the validity of our method was confirmed at the study area in the observed discharge. This result is very useful for estimating runoff discharge changes by urbanization from farmland.
