Based on observation data of temperature from automatic meteorological stations in all towns and the national weather station in Guilin City,annual and monthly variations of average temperature,distribution of high-te...Based on observation data of temperature from automatic meteorological stations in all towns and the national weather station in Guilin City,annual and monthly variations of average temperature,distribution of high-temperature days in Guilin in 2013,and weather situations causing high temperature in Guilin were analyzed.The results showed that in 2013,annual average temperature in Guilin was 1.4℃higher than the multiyear average.The hottest weather occurred in Wenqiao Township,Quanzhou County in the northeast,followed by the urban district and suburbs of Guilin,Lianhua Town of Gongcheng County in the south,Tongan,Zhangjia and Dafa towns of Pingle County,Dongchang and Datang towns of Lipu County.Terrain had distinct effects on regional high temperature,that is,there was no hot weather with daily maximum temperature of≥35.0℃in mountainous areas with an altitude of≥1 200 m;temperature was abnormally high in low-lying areas surrounded by mountains.In addition,the Western Pacific subtropical high pressure was the main weather system leading to hot weather in Guilin.展开更多
[Objective] The research aimed to study the variation of rainfall data from Guilin Weather Station during 1957-2007.[Method] Based on the daily rainfall data in Guilin during 1957-2007,the trend,period and mutation of...[Objective] The research aimed to study the variation of rainfall data from Guilin Weather Station during 1957-2007.[Method] Based on the daily rainfall data in Guilin during 1957-2007,the trend,period and mutation of precipitation in Guilin in 51 years were analyzed by using the trend analysis,wavelet analysis and Mann-Kendall non-parameter statistics test method.[Result] The rainfall in Guilin in 51 years presented the rising trend.The rainfall variation was same in the first,second and third quarters of most years,except in the individual year.The rainfall in the fourth quarter had the decrease trend,and the variation was obvious in each year.It illustrated that the rainfall variation in winter was very unstable and had the decrease trend in recent years.But as a whole,the variation of total rainfall in Guilin wasn’t obvious and had the rise trend.It illustrated that the climate variation in Guilin in 51 years wasn’t obvious.The wavelet analysis showed that the rainfall variation in Guilin had 15-year big period and the small period of 2-3 years.Mann-Kendall non-parameter statistics test showed that the mutation situation of total rainfall in Guilin in 51 years wasn’t obvious.But the mutation situations in the second and third quarters were more.The variation in recent 10 years was the most obvious.Maybe it was affected by the global climate variation.[Conclusion] The research provided the theory basis for analyzing the climate variation in Guilin.展开更多
[Objective] The aim was to study the relevance of grassland temperature and ground net radiation in Guilin.[Method] By dint of ground observation data and net radiation of national benchmark climate station in Guilin ...[Objective] The aim was to study the relevance of grassland temperature and ground net radiation in Guilin.[Method] By dint of ground observation data and net radiation of national benchmark climate station in Guilin from 2007 to 2009,the changes of grassland temperature and ground net radiation were expounded and their relations were pointed out.[Result] The annual changes trends of grassland temperature and ground net radiation in Guilin were basically the same.Monthly average maximum value all appeared in summer(July to August).Monthly average lowest value appeared in winter(December to next January);monthly average grassland temperature and monthly average ground net radiation had positive relation.Grassland temperature and ground net radiation had basically same distribution in four seasons.The average largest value of ground net radiation in summer was the largest and average smallest value was the smallest;the average largest value of ground net radiation in cloudy days was the smallest and average minimum value was the largest;the daily difference was the largest in sunny day and daily difference was the smallest in cloudy day.The daily changes trend of grassland temperature and ground net radiation in different weather state were basically the same;when it was sunny or cloudy,the daily largest value of grassland temperature and ground net radiation occurred between 15:00 and 19:00;when it was overcast,there was no distinct peak and daily changes.The largest value of the daily extreme value of grassland temperature and ground net radiation took place from 12:00 to 15:00.The daily lowest value took place from 20:00 to 07:00 on the next day.[Conclusion] The study provided reference for the analysis of temperature changes in Guilin.展开更多
Based on the precipitation data of all counties in Guilin from 1957 to 2010, the analysis has been made on the features of spatial and temporal distribution, the probability of occurrence and the periodic change of dr...Based on the precipitation data of all counties in Guilin from 1957 to 2010, the analysis has been made on the features of spatial and temporal distribution, the probability of occurrence and the periodic change of drought in Guilin. Afterwards, by using the method of disaster risk assessment, the disaster-causing factors, breed disasters environment and fragility of hazard-bearing body of Guilin drought have been analyzed, and the comprehensive evaluation on drought disaster has been made. The results show that above medium drought in Guilin mainly appeared in au- tumn, followed by winter, while Guilin only suffered from slight drought in spring; the principal period of drought occurrence in Guilin was six years, while its secondary period was two years; on the whole, drought risk was high in the southeast and low in the northwest.展开更多
[Objective] The research aimed to study the flood rainstorm in the Lijiang River of Guilin. [Method] By using the observation data of flood rainstorm and water level in the Lijiang River, the flood rainstorm standard ...[Objective] The research aimed to study the flood rainstorm in the Lijiang River of Guilin. [Method] By using the observation data of flood rainstorm and water level in the Lijiang River, the flood rainstorm standard in the Lijiang River was delimited. Via the analysis on the spatial and temporal distribution, weather situation of flood rainstorm in South China, the flood rainstorm in the Lijiang River was systematically studied. [Result] The flood in the Lijiang River closely related to the duration and intensity of torrential rain in the upstream. When the daily rainfall in the upstream ≥100 mm, or the daily rainfall in above continuous 2 d ≥ 50 mm, the flood was easy to happen in the Lijiang River. During April-July in every year, the flood was possible to happen in the flood season in the Lijiang River but mainly happened during May-June. The period of flood water level variation in the Lijiang River was ten-year. When the highest water level was lower than the warning stage (145.00 m) in the year, most of highest water level in the next year surpassed the warning stage and reached above 146.00 m. The weather type which caused the flood rainstorm could be divided into the frontal zone type (frontal zone southward movement type, stationary front northward movement type) and the low pressure vortex type. The upstream in the Lijiang River was the rainstorm center in Guilin area and the key zone of flood rainstorm in the Lijiang River. The special terrain provided the favorable condition for the multi-occurrence of rainstorm. [Conclusion] The research provided the basis for the forecast of flood rainstorm in the Lijiang River.展开更多
文摘Based on observation data of temperature from automatic meteorological stations in all towns and the national weather station in Guilin City,annual and monthly variations of average temperature,distribution of high-temperature days in Guilin in 2013,and weather situations causing high temperature in Guilin were analyzed.The results showed that in 2013,annual average temperature in Guilin was 1.4℃higher than the multiyear average.The hottest weather occurred in Wenqiao Township,Quanzhou County in the northeast,followed by the urban district and suburbs of Guilin,Lianhua Town of Gongcheng County in the south,Tongan,Zhangjia and Dafa towns of Pingle County,Dongchang and Datang towns of Lipu County.Terrain had distinct effects on regional high temperature,that is,there was no hot weather with daily maximum temperature of≥35.0℃in mountainous areas with an altitude of≥1 200 m;temperature was abnormally high in low-lying areas surrounded by mountains.In addition,the Western Pacific subtropical high pressure was the main weather system leading to hot weather in Guilin.
基金Supported by Guangxi Scientific and Technological Project(Guikegong 0816006-10)Scientific Research Item of Guangxi Science and Technology Agency(Guikeneng 0801Z004)
文摘[Objective] The research aimed to study the variation of rainfall data from Guilin Weather Station during 1957-2007.[Method] Based on the daily rainfall data in Guilin during 1957-2007,the trend,period and mutation of precipitation in Guilin in 51 years were analyzed by using the trend analysis,wavelet analysis and Mann-Kendall non-parameter statistics test method.[Result] The rainfall in Guilin in 51 years presented the rising trend.The rainfall variation was same in the first,second and third quarters of most years,except in the individual year.The rainfall in the fourth quarter had the decrease trend,and the variation was obvious in each year.It illustrated that the rainfall variation in winter was very unstable and had the decrease trend in recent years.But as a whole,the variation of total rainfall in Guilin wasn’t obvious and had the rise trend.It illustrated that the climate variation in Guilin in 51 years wasn’t obvious.The wavelet analysis showed that the rainfall variation in Guilin had 15-year big period and the small period of 2-3 years.Mann-Kendall non-parameter statistics test showed that the mutation situation of total rainfall in Guilin in 51 years wasn’t obvious.But the mutation situations in the second and third quarters were more.The variation in recent 10 years was the most obvious.Maybe it was affected by the global climate variation.[Conclusion] The research provided the theory basis for analyzing the climate variation in Guilin.
文摘[Objective] The aim was to study the relevance of grassland temperature and ground net radiation in Guilin.[Method] By dint of ground observation data and net radiation of national benchmark climate station in Guilin from 2007 to 2009,the changes of grassland temperature and ground net radiation were expounded and their relations were pointed out.[Result] The annual changes trends of grassland temperature and ground net radiation in Guilin were basically the same.Monthly average maximum value all appeared in summer(July to August).Monthly average lowest value appeared in winter(December to next January);monthly average grassland temperature and monthly average ground net radiation had positive relation.Grassland temperature and ground net radiation had basically same distribution in four seasons.The average largest value of ground net radiation in summer was the largest and average smallest value was the smallest;the average largest value of ground net radiation in cloudy days was the smallest and average minimum value was the largest;the daily difference was the largest in sunny day and daily difference was the smallest in cloudy day.The daily changes trend of grassland temperature and ground net radiation in different weather state were basically the same;when it was sunny or cloudy,the daily largest value of grassland temperature and ground net radiation occurred between 15:00 and 19:00;when it was overcast,there was no distinct peak and daily changes.The largest value of the daily extreme value of grassland temperature and ground net radiation took place from 12:00 to 15:00.The daily lowest value took place from 20:00 to 07:00 on the next day.[Conclusion] The study provided reference for the analysis of temperature changes in Guilin.
基金Supported by the Key Project of Guangxi Meteorological Bureau " Agricultural Weather Service Platform of Guangxi at the City or County Level" (201101)
文摘Based on the precipitation data of all counties in Guilin from 1957 to 2010, the analysis has been made on the features of spatial and temporal distribution, the probability of occurrence and the periodic change of drought in Guilin. Afterwards, by using the method of disaster risk assessment, the disaster-causing factors, breed disasters environment and fragility of hazard-bearing body of Guilin drought have been analyzed, and the comprehensive evaluation on drought disaster has been made. The results show that above medium drought in Guilin mainly appeared in au- tumn, followed by winter, while Guilin only suffered from slight drought in spring; the principal period of drought occurrence in Guilin was six years, while its secondary period was two years; on the whole, drought risk was high in the southeast and low in the northwest.
文摘[Objective] The research aimed to study the flood rainstorm in the Lijiang River of Guilin. [Method] By using the observation data of flood rainstorm and water level in the Lijiang River, the flood rainstorm standard in the Lijiang River was delimited. Via the analysis on the spatial and temporal distribution, weather situation of flood rainstorm in South China, the flood rainstorm in the Lijiang River was systematically studied. [Result] The flood in the Lijiang River closely related to the duration and intensity of torrential rain in the upstream. When the daily rainfall in the upstream ≥100 mm, or the daily rainfall in above continuous 2 d ≥ 50 mm, the flood was easy to happen in the Lijiang River. During April-July in every year, the flood was possible to happen in the flood season in the Lijiang River but mainly happened during May-June. The period of flood water level variation in the Lijiang River was ten-year. When the highest water level was lower than the warning stage (145.00 m) in the year, most of highest water level in the next year surpassed the warning stage and reached above 146.00 m. The weather type which caused the flood rainstorm could be divided into the frontal zone type (frontal zone southward movement type, stationary front northward movement type) and the low pressure vortex type. The upstream in the Lijiang River was the rainstorm center in Guilin area and the key zone of flood rainstorm in the Lijiang River. The special terrain provided the favorable condition for the multi-occurrence of rainstorm. [Conclusion] The research provided the basis for the forecast of flood rainstorm in the Lijiang River.
