Time filter

Source Type

Zhang G.,Hainan Institute of Meteorological Science | Zhang G.,Key Laboratory of South China Sea Meteorological Disaster Prevention and Mitigation of Hainan Province | Yang L.,Hainan University
Wuhan Daxue Xuebao (Xinxi Kexue Ban)/Geomatics and Information Science of Wuhan University | Year: 2015

The traditional geostatistical model requires regional precipitation fulfills assumption of multivariate normal distribution in order to estimate the probability density function (PDF) of any ungauged location. And the classical statistical model describes precipitation of any ungauged location using only one PDF. The study attempted to use copula-based geostatistical technology to model the uncertainty of monthly precipitation at any ungauged location and compare it with the above two methods. A case study showed that Copula-based geostatistical model could get the PDF of any ungauged location, which not only depended on the density of the observation network, but also on the magnitude of the measurements and the coverage of cross-validation confidence intervals was better than that of the ordinary Kriging and ordinary Kriging with Box-Cox transformation. ©, 2015, Wuhan University. All right reserved.


Xie M.,Nanjing University | Xie M.,Key Laboratory of South China Sea Meteorological Disaster Prevention and Mitigation of Hainan Province | Xie M.,Jiangsu Collaborative Innovation Center for Climate Change | Zhu K.-G.,Nanjing University | And 7 more authors.
Zhongguo Huanjing Kexue/China Environmental Science | Year: 2015

In this study, the temporal and spatial variations of anthropogenic heat flux over China as well as the relevant influence factors were investigated by using the province depended unregenerate energy consumption data from Chinese Statistical Yearbook and the gridding population data with a resolution of 2.5 min. The results show that the anthropogenic heat flux in China has been increased continually since 1985, especially in the period after 2000. The national average anthropogenic heat flux has been increased from 0.09 to 0.16 W/m2 during the period between 1985 and 2000 while to 0.38 W/m2 till 2013. The spatial distributions of anthropogenic heat flux are similar to those of population and economy activities. High levels of the fluxes are mostly found in Central (Wuhan), Northeast (Dalian, Shenyang, Changchun and Harbin), East and South China, with a maximum annual mean value of 113.5 W/m2 in Shanghai in 2010, while the lower ones appear in Northwest and Southwest China except for Chengdu and Chongqing. The annual growth of anthropogenic heat flux in Shanghai can reach to 0.6 W/m2. Our results might imply that the thermal pollution would get more serious with the rapid growth of the urbanization, which thereby would substantially result in regional climate change and air pollution. ©, 2015, Chinese Society for Environmental Sciences. All right reserved.


Zhu K.-G.,Nanjing University | Xie M.,Nanjing University | Xie M.,Key Laboratory of South China Sea Meteorological Disaster Prevention and Mitigation of Hainan Province | Xie M.,Jiangsu Collaborative Innovation Center for Climate Change | And 9 more authors.
Zhongguo Huanjing Kexue/China Environmental Science | Year: 2015

Based on the meteorological observation data from 1951 to 2010 at the station 58238, as well as air pollutant monitoring data in 2007 from Caochangmen air quality monitoring stations, the variation trend of the meteorological factors in Nanjing and the relationship between air pollution and meteorology were analyzed. With the aid of WRF-CALGRID, impacts of urbanization on local meteorological fields and ozone concentration over Nanjing were discussed. The results show that the elevated air temperature, the decreased wind speed and the reduced air humidity in Nanjing can be attributed to urban sprawl. And in consideration of the effects of meteorological factors, such as air temperature and wind, on the concentration of ozone, urbanization in Nanjing may evidently impact ozone formation and distribution. The simulated results illustrated that changes of land-use in Nanjing cause an increase in air temperature over 1℃, a decrease in wind speed with 0.4 m/s, a decrease in air humidity with 0.5 g/kg, and an increase in mixing layer height with 100 m. Urbanization reduces near surface NOx concentration due to the increase of PBLH, with the maximum decrease over 6×10-9. In the north and west of Nanjing, urbanization increases the concentration of O3 with the value over 2×10-9, which can be related to the increase of air temperature, the decrease of wind speed and the change of NO. In the south and east of Nanjing, O3 can be lowered about 1×10-9~3×10-9 due to the increase of the height of mixing layer. ©, 2015, Chinese Society for Environmental Sciences. All right reserved.


Liu S.-J.,Hainan Institute of Meteorological Science | Liu S.-J.,Key Laboratory of South China Sea Meteorological Disaster Prevention and Mitigation of Hainan Province | Zhou G.-S.,Chinese Academy of Meteorological Sciences | Fang S.-B.,Chinese Academy of Meteorological Sciences
Chinese Journal of Ecology | Year: 2015

The characteristics of rubber chilling injury were analyzed by annual integrative chilling injury indexes based on the “rubber chilling injury grade (QX/T 169-2012) ” of China Meteorological Administration (CMA) and the related meteorological data during 1961-2010 in major rubber producing areas in China. The results indicated that rubber radiation chilling injury and advection chilling injury showed obvious spatial differences. The high annual average accumulative temperatures of radiation type rubber chilling injury appeared in Yunnan and Fujian provinces, while the high annual average accumulative temperatures of advection type rubber chilling injury appeared in Guangxi, Fujian, Guangdong provinces and Pingbian of Yunnan Province. The occurrence frequencies of moderate, severe, severe rubber chilling injury showed a decreasing tendency, while light rubber chilling injury showed an increasing tendency during 1961-2010. The average occurrence frequencies of light, medium, heavy and severe rubber chilling injury were 3.50%, 28.24%, 14.93%, and 15.93%, respectively. In Jinghong and Mengna of Yunnan Province and Hainan Island, the occurrence frequencies of rubber chilling injury were far lower than those in the whole study area. The results provide scientific reference for decisionmaking in coping with the rubber chilling injury in China. © 2015, editorial Board of Chinese Journal of Ecology. All rights reserved.


Liu S.,Hainan Institute of Meteorological Science | Liu S.,Key Laboratory of South China Sea Meteorological Disaster Prevention and Mitigation of Hainan Province | Zhou G.,Chinese Academy of Meteorological Sciences | Fang S.,Chinese Academy of Meteorological Sciences
Shengtai Xuebao/ Acta Ecologica Sinica | Year: 2016

The rubber tree (Hevea brasiliensis) originated in Brazil and was a typical tropical plant with thermophilic and hygrophilous characteristics, sensitive to strong winds. As an untraditional planting area, South China frequently sees tropical cyclones and cold-weather damage to plants. Thus, the climatic conditions were the key factor affecting the planting of the rubber tree in China. The safe northern planting boundary of the rubber tree was guided by the desire to effectively avoid cold-weather damage and strong winds. Various studies (since 1980s) on the suitability of rubber tree planting in China have discussed the northern planting boundary of the rubber tree and provided a rationale for the planting, which promoted development of the rubber tree industry in China. Rubber production was concentrated in the suitable climatic conditions, and regional layout was becoming more suitable gradually. Chinese researchers have developed cold- and wind- resistant strains of the rubber tree and a good base of rubber production. Nowadays, Hainan, Yunnan, and Guangdong Provinces in South China are suitable for rubber tree cultivation, and the amount of rubber trees is increasing continuously. Nevertheless, climate change has seriously influenced temperature and precipitation on the global and regional scale and is expected to affect the rubber tree cultivation system. The existing research on Chinese rubber tree cultivation has been limited by the shortage of early climatic data and by the insufficient number of meteorological stations. Particularly, climatic factors that affect rubber tree cultivation have been mainly selected in accordance with practical experience, and researchers did not consider the comprehensive effects of all climatic factors on cultivation of the rubber tree. These factors influenced the boundary of rubber tree cultivation and are important for accurate assessment of suitability of rubber tree planting, for planning of rubber tree plantations, and for formulating response measures to climate change decision-making. Accordingly, the five main climatic factors, i.e., mean temperature of the coldest month, mean extremely low temperature, the number of monthly days with mean temperature ≥18 °C, mean annual temperature, and mean annual precipitation, were confirmed by the maximum entropy model based on the geographical distribution of rubber tree cultivation and the corresponding climatic data. The northern planting boundary of the rubber tree was selected at the 80% rate of climate guarantee, which is believed to correspond to a high and stable yield of rubber cultivation. This boundary covered the actual main production area of rubber tree plantations in China. The maximum entropy model that we used to confirm the northern planting boundary of rubber tree plantations in China has certain advantages over other methods according to comparison with the existing research results. The maximum entropy model can fully take into account the intrinsic interactions of various factors, to a certain extent, it can overcome the interference by the artificial division factor range and then more objectively predict the potential spatial distribution of Chinese rubber tree planting. This model can prevent blind planting of rubber trees with consequent waste of human labor, materials, and financial resources. Therefore, the maximum entropy model should help to rationally choose a geographic location for rubber production. Nevertheless, the northern planting boundary of the rubber tree was ascertained to offer the 80% rate of climate resource guarantee. Thus, the northern boundary has essentially been a rubber stable and a high-yield planting boundary. Our results should facilitate scientific decision-making regarding distribution of rubber tree planting as well as disaster prevention and mitigation in China. © 2016, Ecological Society of China. All rights reserved.


Fu C.-B.,Hainan Meteorological Observatory | Fu C.-B.,CAS Institute of Atmospheric Physics | Fu C.-B.,Key Laboratory of South China Sea Meteorological Disaster Prevention and Mitigation of Hainan Province | Chen Y.-L.,Hainan Meteorological Observatory | And 4 more authors.
Huanjing Kexue/Environmental Science | Year: 2015

The temporal-spatial characteristics of the tropospheric column NO2 (TroNO2) and total column NO2 (TotNO2) over Hainan Island are analyzed using remote sensing data derived from OMI sensor, and also combining surface wind, SO2, HYSPLIT model to research the source of atmospheric pollutants over Hainan Island. The results show that: The value of NO2 in northern area is higher than that in southern area, and the value of NO2 in central mountainous area is lower than those other places. In addition, the seasonal variation of NO2 indicates that NO2 is higher in winter and lower in summer, which can be attributed to precipitation in summer and external transport of atmospheric pollutants in winter. Long-term changes of NO2 in Hainan Island appear opposite trends during winter and summer, which is declining in winter and has a weak increase in summer. The reasonable explanation is that local emissions of pollutants play an important role in summer, but external transport is the main resource of pollutants over Hainan Island. The TroNO2 in Haikou City has a good relationship with favorable delivered days in PRD, the correlation coefficient is 0.84 with 99% confidence level. Moreover, there are 3 transport paths in Dec. 2013 which can impact Haikou City from backward trajectory analysis, but all of them pass through the PRD, which can further prove that atmospheric pollutants of Hainan Island in winter are mainly delivery from PRD region. ©, 2015, Science Press. All right reserved.


Fu C.,Hainan Meteorological Observatory | Fu C.,CAS Institute of Atmospheric Physics | Fu C.,Key Laboratory of South China Sea Meteorological Disaster Prevention and Mitigation of Hainan Province | Tang J.,Hainan Meteorological Observatory | And 4 more authors.
Huanjing Kexue Xuebao/Acta Scientiae Circumstantiae | Year: 2015

An aerosol particle event occurred in Haikou City in December 2013. This work showed that the concentration of PM2.5 in Haikou City exceeded threshold of the Grade 2 of national ambient air quality standard on the 9th and peaked on the 11th with the daily average value of 87.96 μg·m-3. The concentration had significantly negative correlation with the local visibility. In the former period (7th~9th am), the atmospheric pollutants were mainly from local emission. In the latter period (9th pm~11th) however, transport from the Pearl River Delta region played a more important role, which was verified by the backward trajectories simulation from HYSPLIT. Our analyses further suggested that the meteorological condition, which was associated with weak cold air movements in 500 hPa and a warm centre in 925 hPa, contributed greatly to this aerosol particle event. This low-level inversion layer made the atmosphere more stable with weak wind near the surface and prevented pollutant dispersions. The weakened vertical wind shear was favorable to the near-surface air pollutants accumulation. It had a good correlation with the concentration of PM2.5. ©, 2014, Science Press. All right reserved.


Fu C.-B.,Hainan Meteorological Observatory | Fu C.-B.,CAS Institute of Atmospheric Physics | Fu C.-B.,Key Laboratory of South China Sea Meteorological Disaster Prevention and Mitigation of Hainan Province | Tang J.-X.,Hainan Meteorological Observatory | And 4 more authors.
Huanjing Kexue/Environmental Science | Year: 2016

Based on haze observation and related meteorological data from the surface weather stations in China during 1960-2013, we analyzed the variation of haze days and its relationship to meteorological elements using climatic linear-trend estimation, cluster analysis, cumulative departure and the Mann-Kendall test. The results showed that the haze events occurred mainly in mid-eastern and southern China, especially in Beijing, central and southern areas of Shanxi, Henan, the Yangtze River Delta and Pearl River Delta areas. At the same time, the haze days were less frequently observed in western and northeastern China. The occurrence of haze days was increasing in the past 54 years, which was consistent with the total energy consumption in China. While the emission of air pollutant could be an important factor of haze increase, the adverse weather conditions also played a role. The correlation coefficients of precipitation, average wind speed, sunshine duration and relative humidity with haze days were -0.653, -0.635, -0.462 and -0.699, respectively, which all exceeded the 99.9% significance. Cluster analysis showed that haze days of stations with very significant increase, significant increase and obvious increase have accelerated in recent years, and the trend of cumulative variance type was fall-flat-rise. Haze days of slight rise station increased from 1960s to the late 1970s and after 2000, of which cumulative variance type was multi wobbled. Moreover, Haze days of slight fall and obvious fall stations increased from 1960s to 1970s, and their cumulative variance types were rise-gently-fall. Furthermore, haze days showed mutation from more to less during 1992 to 1993. © 2016, Science Press. All right reserved.


Fu C.-B.,Hainan Meteorological Observatory | Fu C.-B.,CAS Institute of Atmospheric Physics | Fu C.-B.,Key Laboratory of South China Sea Meteorological Disaster Prevention and Mitigation of Hainan Province | Dan L.,CAS Institute of Atmospheric Physics | And 4 more authors.
Zhongguo Huanjing Kexue/China Environmental Science | Year: 2016

This study investigates temporal and spatial variations of haze days and the possible climatic factors in South China during recent 54 years. Basic statistical methods are used here based on the observed data from 57 meteorological stations, including linear regression, cluster and correlation analysis. The result shows that more haze days occur in the Pearl River Delta (PRD) region of Guangdong and mid-eastern Guangxi. The haze days increase remarkably during the past 54 years and show a decline trend after 2008. Among the four seasons, the heaviest haze pollution happened in winter, follows spring and autumn, and relatively weak in summer. They are also associated with a decrease trend after 2008 except winter. In addition, all of the haze days in different varied-intensity increased obviously during the past 54 years. It is further found that haze pollution in South China increases not only in the number of days, but also the pollution intensity. The rapidly rise time periods of haze days are different in different regions over South China. It occurs in the 1990s over serious pollution and normally pollution regions, but shows after 2000 for the relatively clean regions. Number of haze days over the serious polluted and normal polluted regions has been decreased during recent 10 years, but it remains a rapid increase for the relatively clean areas. Our further analysis suggests that the decreased trends of precipitation days during recent 54 years would factor in reducing the wet-depositing capacity of atmospheric pollutants. Increase of the breeze days, which connects to the decrease of mean wind speed and strong wind days, on the other hand, would also contribute to the reduction of pollutants diffusion capacity and more haze pollution. © 2016, Editorial Board of China Environmental Science. All right reserved.


Liu S.,Hainan Institute of Meteorological Science | Liu S.,Key Laboratory of South China Sea Meteorological Disaster Prevention and Mitigation of Hainan Province | Zhang J.,Key Laboratory of South China Sea Meteorological Disaster Prevention and Mitigation of Hainan Province | Cai D.,Hainan Institute of Meteorological Science | And 7 more authors.
Journal of Natural Disasters | Year: 2016

Ilnfluence of typhoon on the rubber plantation is a complex process. In this paper, the typhoon Ramma-sun (201409), the strongest typhoon landing in Southern China since 1973, was chosen as a study case. The NDVI value of rubber plantation was used as an index to express the damage degree of rubber by using the Landsat 8 remote sensing data before and after the landfall of typhoon. The model of rubber vegetation influence index was established by analyzing the correlation of NDVI value with typhoon damage potential index and topography index to predict a typhoon impact on rubber plantation. The results indicated that; ( 1 ) the change of rubber NDVI value could reflect typhoon influence degree of the rubber in a certain extent, so the Landsat 8 remote sensing data could be used to monitor the typhoon impact on rubber plantation. (2) Wind speed was the main factor that influenced the rubber plantation destruction severity, and typhoon damage potential index could objectively reflect the influence degree of typhoon on the rubber plantation. (3) The defined typhoon rubber vegetation influence index could predict the typhoon impact degree on rubber plantation in a certain extent, but it still needs a lot of examples to verify.

Loading Key Laboratory of South China Sea Meteorological Disaster Prevention and Mitigation of Hainan Province collaborators
Loading Key Laboratory of South China Sea Meteorological Disaster Prevention and Mitigation of Hainan Province collaborators