共查询到19条相似文献，搜索用时 93 毫秒
1.
川西高原若尔盖旅游气候资源及旅游舒适期研究 总被引：1，自引：0，他引：1
利用若尔盖1971-2000年的逐日日照时数、气温、降水量、降水日数、相对湿度、风速、气压等气象资料,用常规统计方法对以上主要旅游气候要素进行月、年变化规律分析,为当地旅游管理部门提供参考,为旅客提供气象服务。统计和分析表明：若尔盖光照资源丰富,日照总时数达到2510h。该地整年气温偏低,月均气温为-10.2℃-10.8℃,年平均气温为0.8℃,而且随着年份的增加,气温呈上升趋势。年降水量为649.1mm,干湿季分明,5-10月降水量占全年降水量的88%,白天降水少并且无大的降水。空气相对湿度与气温的配合让人体感觉比较舒适,风速较小,适合开展旅游活动。该地的最佳旅游舒适期为7、8月,而6月和9月可根据实时天气情况适当安排旅游活动,舒适天数在68天左右,舒适天数随年份呈波动上升趋势。 相似文献
2.
麦庆民 《成都信息工程学院学报》1994,(2)
对１９９４年在成都举办“第２２届世界跳伞锦标赛”竞赛日期确定而做的“成都地区云天状况的气候分析”。根据竞赛日期的确定必须符合“在１０天赛程内至少有５天云高在２ｋｍ以上”的要求，选择以云为主（包括与云天有关的月平均降水量、降水日期、晴阴天日数，以及旬平均降水量、降水日数和日照时数、气温条件等气象因子），并以３０年（１９５１～１９８０年）的统计资料，通过多因子综合分析，提出了锦标赛安排在５月下旬到６月上旬为有的意见，经过承办单位和国际航空运动联合会的审查，批准了锦标赛在１９９４年５月２９日～６月７日举办的决定。 相似文献
3.
四川盆地区表层土壤湿度时空变化特征分析 总被引：2，自引：0，他引：2
分析常年土壤干湿状况及其影响因子,是监测评价四川盆地区土壤水分变化的基础,有利于农业干旱防灾减灾.利用四川盆地区农业气象站近17年0～20cm的逐句土壤湿度观测资料,运用旋转正交函数分解(REOF)、相关分析、趋势倾向率分析等方法,对四川盆地区表层土壤相对湿度的时空变化特征进行分析,并分区域选取代表站建立表层土壤湿度与气温、降水量、日照时数的多元回归方程.结果表明,盆地表层土壤相对湿度空间分布大致是从南到北逐渐减小;年际变化呈现弱的上升趋势;常年季节变化呈双峰型特点,秋季高,春季低,夏季波动明显,初夏高盛夏低;表层土壤干湿状况总体呈现出冬春季相对偏干、夏秋季相对偏湿的季节变化.盆地表层土壤湿度变化与气温、日照显著负相关,与降水显著正相关性,气温、日照、降水因子分别对盆地东北部、中南部、西北部表层土壤湿度变化影响大. 相似文献
4.
为了解北碚地区的降水风险规律,减少地区旱涝引起的灾害损失.利用北碚区地面气象观测站的年降水观测资料（1981～2010年）,结合信息扩散理论模型,分析北碚地区的降水风险及成因.结果显示：（1）北碚地区降水的概率曲线为单峰型,峰值在1000～1100mm,夏季降水量离散程度比春、秋两季高,存在明显的旱季或涝季.（2）汛期降水量和年降水量的概率分布曲线趋势基本一致,也存在一些差异.（3）降水日分布特征显示雨量从21时开始增加,03时累积雨量为最大值,20时达到最低水平;降水频次从21时开始逐渐增加,并在08时达到最大.在暴雨小时降水量中5mm/h以下的降水次数最多,约占总次数的41％. 相似文献
5.
分析常年土壤干湿状况及其影响因子,是监测评价四川盆地区土壤水分变化的基础,有利于农业干旱防灾减灾.利用四川盆地区农业气象站近17年0～20cm的逐旬土壤湿度观测资料,运用旋转正交函数分解(RE-OF)、相关分析、趋势倾向率分析等方法,对四川盆地区表层土壤相对湿度的时空变化特征进行分析,并分区域选取代表站建立表层土壤湿度与气温、降水量、日照时数的多元回归方程.结果表明,盆地表层土壤相对湿度空间分布大致是从南到北逐渐减小;年际变化呈现弱的上升趋势;常年季节变化呈双峰型特点,秋季高,春季低,夏季波动明显,初夏高盛夏低;表层土壤干湿状况总体呈现出冬春季相对偏干、夏秋季相对偏湿的季节变化.盆地表层土壤湿度变化与气温、日照显著负相关,与降水显著正相关性,气温、日照、降水因子分别对盆地东北部、中南部、西北部表层土壤湿度变化影响大. 相似文献
6.
基于72个湖南连续运行参考站 (CORS) 反演得到的可降水量 (PWV) ,针对2015-04-03~04-04湘北地区一次局地暴雨,结合温度和气压等大气热动力条件,分析湖南省PWV时间序列及其平面动态分布变化,并总结此次暴雨过程中水汽场变化规律。研究结果表明,作为降水的必要条件,PWV峰值越大降水概率越高,当PWV突破48 mm并首次降低时,随后1 h内会出现降水;当PWV持续增强达到峰值50 mm之后再次下降时,PWV增量变化很大程度上决定着雨势的大小及降雨持续时长;气温和气压等热动力条件也对雨势预测有一定的指示作用;PWV分布变化可对实际降水范围（落区）趋势作出较为准确的预测。 相似文献
7.
本文基于云南省1954-2014年32个气象站点逐月降水量资料,采用线性倾向估计法、径向基函数空间插值法、小波分析法、R/S分析法、Z指数法,分析了61年的云南省降水序列、旱涝情态的时间特征和空间格局。结果表明：在此期间除春季外,其余各季节降水量均呈现减少态势,年降水量总体以8.1 mm/10 a的速率减少,并且在未来一段时间内将保持减少趋势。多年平均降水量由云南省南部的西双版纳州向西北部的丽江市-迪庆州一带逐步减少;年降水量存在准2 a、准6 a、准8 a、准18 a、准28 a的周期性特征,且以准28 a为主周期;干旱化趋势增加速率较快（KL=0.359）,印证了降水减少态势,洪涝化趋势减小速率相对较慢（KI= -0.071）;旱灾易发地区主要涉及5个州,分别为迪庆州、德宏州、西双版纳州、红河州、楚雄州;洪涝易发地区涉及3州2市,依次为怒江州、大理州、文山州、普洱市及邵通市。 相似文献
8.
气象因素影响下中国手足口病时空演化特征研究 总被引：1，自引：0，他引：1
近年来,手足口病在我国感染者的数量仍然呈现逐渐增加的趋势,对公共健康造成很大的威胁,也对疾病防控提出严峻的挑战。为探讨气象因素（气温、降水）对我国手足口病（Hand Foot and Mouth Disease, HFMD）发病的时空影响特征及规律,本文以我国手足口病疫情平发年2017年为例,利用分地区、分月份疫情数据,采用地理探测器、空间自相关等分析方法分析各地气象（气温、降水）因素对手足口病发病影响及其时空分异。结果表明：① 在时间上,2017年我国各地中心城市手足口病发病有明显的季节差异,年内有单峰发病模式和双峰（高低峰、双高峰）发病模式,且2017年2、4、12月各地中心城市手足口病发病率有显著的空间相关;② 在空间上,2017年我国各省、市手足口病发病在空间上表现为东南各省市发病率高,西北各省市发病率低的特点,并随降水量由东南向西北呈现递减趋势;③ 2017年省、自治区、直辖市和地级市手足口病爆发热点时段（4—8月）时空演化分析,先由东南各省向西北各省蔓延,后又表现为由西向东退缩;④ 2017年我国各地中心城市手足口病月发病率分别与年均降水量、年均温,呈二次函数关系（R2=0.6623）和指数函数关系（R2=0.6469）;⑤ 气温和降水对手足口病交互作用结果表现为双因子非线性增强,气温和降水的交互作用对手足口病传播的影响更为显著。气象因素对我国手足口病发病存在影响,我国手足口病发病在时间和空间上均存在显著差异,分析结果在宏观尺度上可为我国手足口病防控提供参考。 相似文献
9.
以1972、1989、1996、2006、2017年5个不同时段的Landsat MSS/TM/ETM+/OLI遥感影像数据、数字高程模型（DEM）数据和气象数据为数据源,通过计算机自动提取与人工目视解译相结合的方法获取南阿尔泰山中部地区各时段的冰湖信息,利用GIS空间分析方法对该地区的冰湖面积进行统计,并分析研究区冰湖在不同规模、不同坡度、不同海拔状态下的时空变化特征。结果表明:①近45年来南阿尔泰山中部地区的冰湖面积呈"先减后增"趋势。1972-1996年研究区的冰湖面积从411.14 km2减少至400.83 km2,共减少了10.31 km2,减少速率为0.43 km2/a。从1996-2017年冰湖面积增加了15.42 km2;增长率为0.514 km2/a。②研究区冰湖分布主要集中在海拔低于2 200 m、坡度小于25°的区域,不同海拔区间和不同坡度区间的冰湖面积均呈"先减后增"趋势。③结合气温、降水、冰川面积以及冰储量变化数据分析发现,南阿尔泰山中部地区冰湖对气候变化具有明显的响应。温度、降水量及冰川融水是影响冰湖面积变化的主要因素;且这三者之间存在一种平衡关系,即温度升高冰川消融速度加快,从而对冰湖的收支平衡产生直接影响。当冰湖的补给量（即冰川融水和降水量之和）大于由温度升高引起的蒸发量时,冰湖面积会呈增长趋势;反之亦然。1970-1980年整个阿勒泰地区年代际降水量减少了19.28 mm,温度上升了0.25℃,因此1972-1989年研究区冰湖的蒸发水量大于补给水量,导致该时段冰湖面积呈退缩态势。1989-1996年该区降水量增加了19.67%,温度升高了0.62℃,但是增加的降水量却无法弥补由温度升高引起的冰湖蒸发量,因此1989-1996年研究区冰湖面积仍处于退缩状态。1996-2017年由于温度和降水量大幅增加导致冰湖面积呈不断增长趋势。 相似文献
10.
中国西北地区植被NDVI的时空变化及其影响因子分析 总被引：6，自引：0，他引：6
利用GIMMS/NDVI数据分析了中国西北地区1982-2006年植被NDVI时空变化特征及其影响因子。近25年来,中国西北地区年均植被NDVI增速为0.5%/10a,并存在明显的空间差异。天山、阿尔泰山、祁连山、青海的中东部等地区植被NDVI显著增加;青海南部地区、陕西和宁夏交界地区、甘肃部分地区,以及新疆部分地区的植被NDVI下降。从不同植被类型看:林地、草地和耕地的年均NDVI都在提高。研究表明:中国西北地区植被NDVI变化是各种自然和人为因素综合作用的结果。植被NDVI与气温、降水的年际变化整体上都呈弱的正相关。但与其年内变化则都呈显著的线性关系,当月均温量超过20℃时,植被NDVI呈下降趋势;当月降水量在0100mm期间,植被NDVI随降水线性增长,当月降水量超过100mm之后,不再有明显的增长趋势。农业生产水平提高和植被生态建设等人类活动对西北地区植被NDVI增加有重要影响。 相似文献
11.
为了研究渭河流域气候变化趋势及其成因,利用陕西渭河流域43个气象台站1978~2010年观测资料,采用气候趋势系数、气候倾向率和相关系数方法,分析了近33年来陕西渭河流域的蒸发皿蒸发量及其影响因子的相关性和变化趋势。结果表明:近33年来陕西渭河流域年蒸发皿蒸发量呈波动状升高,但并非显著性上升;春季和冬季的蒸发皿蒸发量表现为上升趋势,夏季和秋季则为下降趋势;四季蒸发皿蒸发量的下降主要在渭北西部;导致陕西渭河流域年蒸发皿蒸发量上升的主要原因是平均气温上升和降水量下降。 相似文献
12.
由于对流层中气象因素变化剧烈且蕴含大量的水蒸气和颗粒物，雾霾的发生也极易改变卫星信号的传播路径，从而导致对流层延迟发生变化，因此重点研究气象因素与雾霾之间的相关性问题。通过上海市2016年62 d(DOY 153～214)的大气中污染物含量资料与天顶对流层延迟比较分析发现，大气中每种污染物含量基本呈现相似的走势，天顶对流层延迟随PM2.5含量增加而增大，且在日值数据的比较中发现，上海夏季的PM2.5含量与气压、气温和相对湿度成正相关关系，与风速、降水量呈负相关关系。 相似文献
13.
中国国土绿化状况公报指出,2010—2020年中国许多城市的绿化面积增加、绿化质量提高,可随之而来的影响人体健康的致敏性花粉风险也逐渐提高。本文利用遥感手段获得北京市乔木和草地生长区域平均植被叶面积指数（LAI）时间序列作为植被物候信息,并将其作为花粉浓度预测因子之一,结合日气象数据,使用具有外部输入的非线性自回归神经网络模型（NARXnet）,进行北京市次日花粉浓度的预测。结果显示：① 通过逐步回归计算,对于春季数据,日均气温3日平滑,积温,叶面积指数（LAI）和叶面积指数一阶导为次日花粉浓度预测的关键变量;对于秋季数据,日均气温、平均风速、最低日气温、日均气温3日平滑、积温和叶面积指数（LAI）为次日花粉浓度预测的关键变量;② 加入遥感物候信息可显著地提高NARXnet模型的春秋时段的花粉浓度的预测精度。使用本文提出的结合叶面积指数的NARX模型后,预测模型的总体精度为71%。由此,本研究认为在原有气象因子的基础上,辅之以用遥感技术手段获取的大面积植被物候信息,如叶面积指数动态,可作为预测次日花粉浓度的一种有效手段。 相似文献
14.
Sensitivity of penman-monteith reference crop evapotranspiration in Tao’er River Basin of northeastern China 总被引：1，自引：0，他引：1
A non-dimensional relative sensitivity coefficient was employed to predict the responses of reference crop evapotranspiration （ET0） to perturbation of four climate variables in Tao＇er River Basin of the northeastern China. Mean monthly ET0 and yearly ET0 from 1961 to 2005 were estimated with the FAO-56 Penman-Monteith Equation. A 45-year historical dataset of average monthly maximum/minimum air temperature, mean air temperature, wind speed, sunshine hours and relative humidity from 15 meteorological stations was used in the analysis. Results show that： 1） Sensitivity coefficients of wind speed, air temperature and sunshine hours were positive except for those of air temperature of Arxan Meteorological Station, while those of relative humidity were all negative. Relative humidity was the most sensitive variable in general for the Tao＇er River Basin, followed by sunshine hours, wind speed and air temperature. 2） Similar to climate variable, monthly sensitivity coefficients exhibit large annual fluctuations. 3） Sensitivity coefficients for four climate variables all showed significant trends in seasonal/yearly series. Also, sensitivity coefficients of air temperature, sunshine hours and wind speed all showed significant trends in spring. 4） Among all sensitivity coefficients, the average yearly sensitivity coefficient of relative humidity was highest throughout the basin and showed largest spatial variability. Longitudinal distribution of sensitivity coefficients for air temperature, relative humidity and sunshine hours was also found, which was similar to the distribution of the three climate variables. 相似文献
15.
《山地科学学报》2015,(6)
Abies georgei var. smithii is a dominant species playing an important role in protecting biodiversity and sustaining the forestry ecosystems in Southeastern Tibetan Plateau. Stem sap flows of five different diameters at the breast height(DBH) A. georgei var. smithii samples were monitored continuously with the thermal dissipation probe for the entire growing period in order to understand the water transportation mechanism and the effects of environmental factors on its transpiration and growth. Relative environment factors, temperature and humidity of air, photosynthetically active radiation, rainfall, and wind speed, soil moisture, etc. were measured by the automatic weather stations. Diurnal and seasonal variations in sap flow rate with the different stem diameters and their correlations with meteorological factors were analyzed. The diurnal change in sap flow velocity showed a single-peak curve at the daily time scale, whereas a lower sap flow velocity can be observed in the largest DBH sample tree at night. The maximum average velocity was observed in August, whereas the minimum velocity was observed in January, and a large amount of water evaporated in summer owing to the higher sap flow velocity. In addition, sap flow velocity was closely related to changes in the micrometeorological factors, with average sap flow velocity showing significant linear correlations with air temperature, photosynthetically active radiation, rainfall, and vapor pressure deficit of air and soil moisture. Therefore, some measures, improving the light and temperature conditions, should be taken for protecting A. georgei var. smithii population in the Tibetan Plateau. 相似文献
16.
XIE Aihong REN Jiawen QIN Xiang JIANG Youyan 《山地科学学报》2006,3(3):181-190
Introduction Mt. Qomolangma (Everest) (27°54'N, 86°54'E) (Hereafter Mt. Qomolangma) lies between China and Nepal (Figure 1), and is the highest peak in the world, 8844.43 m asl (As promulgated by News Of-fice of the Chinese State Council in October 2005… 相似文献
17.
High PM2.5 concentrations and frequent air pollution episodes during late autumn and winter in Jilin Province have attracted attention in recent years. To describe the spatial and temporal variations of PM2.5 concentrations and identify the decisive influencing factors, a large amount of continuous daily PM2.5 concentration data collected from 33 monitoring stations over 2-year period from 2015 to 2016 were analyzed. Meanwhile, the relationships were investigated between PM2.5 concentrations and the land cover, socioeconomic and meteorological factors from the macroscopic perspective using multiple linear regressions (MLR) approach. PM2.5 concentrations across Jilin Province averaged 49 μg/m3, nearly 1.5 times of the Chinese annual average standard, and exhibited seasonal patterns with generally higher levels during late autumn and over the long winter than the other seasons. Jilin Province could be divided into three kinds of sub-regions according to 2-year average PM2.5 concentration of each city. Most of the spatial variation in PM2.5 levels could be explained by forest land area, cultivated land area, urban greening rate, coal consumption and soot emissions of cement manufacturing. In addition, daily PM2.5 concentrations had negative correlation with daily precipitation and positive correlation with air pressure for each city, and the spread and dilution effect of wind speed on PM2.5 was more obvious at mountainous area in Jilin Province. These results indicated that coal consumption, cement manufacturing and straw burning were the most important emission sources for the high PM2.5 levels, while afforestation and urban greening could mitigate particulate air pollution. Meanwhile, the individual meteorological factors such as precipitation, air pressure, wind speed and temperature could influence local PM2.5 concentration indirectly. 相似文献
18.
Shou-zhang Peng Chuan-yan Zhao Xiao-ping Wang Zhong-lin Xu Xing-ming Liu Hu Hao Shi-fei Yang 《山地科学学报》2014,11(4):896-905
Daily meteorological data are the critical inputs for distributed hydrological and ecological models. This study modified mountain microclimate simulation model （MTCLIM） with the data from 19 weather stations, and compared and validated two methods （the MTCLIM and the modified MTCLIM） in the Qilian Mountains of Northwest China to estimate daily temperature （i.e., maximum temperature, minimum temperature） and precipitation at six weather stations from i January 2000 to 31December 2009. The algorithm of temperature in modified MTCLIM was improved by constructing the daily linear regression relationship between temperature and elevation, aspect and location information. There are two steps to modify the MTCLIM to predict daily precipitation： firstly, the linear regression relationship was built between annual average precipitation and elevation, location, and vegetation index; secondly, the distance weight for measuring the contribution of each weather station on target point was improved by average wind direction during the rainy season. Several regression analysis and goodness-of-fit indices （i.e., Pearson＇s correlation coefficient, coefficient of determination, mean absolute error, root-mean-square error and modelingefficiency） were used to validate these estimated values. The result showed that the modified MTCLIM had a better performance than the MTCLIM. Therefore, the modified MTCLIM was used to map daily meteorological data in the study area from 2000 to 2009. These results were validated using weather stations with short time data and the predicted accuracy was acceptable. The meteorological data mapped could become inputs for distributed hydrological and ecological models applied in the Qilian Mountains. 相似文献
19.
Trends in temperature and precipitation extremes over Circum-Bohai-Sea region, China 总被引：2，自引：0，他引：2
Trends in temperature and precipitation extremes from 1961 to 2008 have been investigated over Circum-Bohai-Sea region,China using daily temperature and precipitation data of 63 meteorological stations.The re-sults show that at most stations,there is a significant increase in the annual frequency of warm days and warm nights,as well as a significant decrease in the annual frequency of cold days,cold nights,frost days,and annual diurnal temperature range(DTR).Their regional averaged changes are 2.06 d/10yr,3.95 d/10yr,-1.88 d/10yr,-4.27 d/10yr,-4.21 d/10yr and-0.20℃/10yr,respectively.Seasonal changes display similar patterns to the annual results,but there is a large seasonal difference.A significant warming trend is detected at both annual and seasonal scales,which is more contributed by changes of indices defined by daily minimum temperature than those defined by daily maximum tem-perature.For precipitation indices,the regional annual extreme precipitation displays a weak decrease in terms of magnitude and frequency,i.e.extreme precipitation days(RD95p),intensity(RINTEN),proportion(RPROP) and maximum consecutive wet days(CWD),but a slight increase in the maximum consecutive dry days(CDD),which are consistent with changes of annual total precipitation(PRCPTOT).Seasonally,PRCPTOT and RD95p both exhibit an increase in spring and a decrease in other seasons with the largest decrease in summer,but generally not significant.In summary,this study shows a pronounced warming tendency at the less rainy period over Circum-Bohai-Sea region,which may affect regional economic development and ecological protection to some extent. 相似文献