基于MODIS-EVI数据的长江三角洲地区植被变化的特征

基于2001~2010年MODIS EVI植被指数产品数据,结合国家标准气象站逐月气温、降雨及日照时数资料,对长江三角洲地区植被的时空变化特征进行分析。结果表明：（1）空间分布上,该区域西南部以林地为主,而东北部以农田为主,近10 a植被变化面积占总面积的32%,以农田的转出和城镇的转入为主;（2）区域年最大EVI整体呈减少趋势（-0028/10 a）,不同季节下,夏冬季均呈减少趋势（以2月和8月份最为显著）,春秋季则呈增加趋势（以5月和10月份最为显著）;（3）不同植被类型下,城镇和农田EVI呈不同程度减少趋势,以城镇EVI下降速度(-0076/10 a）最为显著（R2=077）,而林地变化较弱;(4)研究区湿润气候环境下,农田和林地年最大EVI与日照时数和气温多呈正相关性,与降雨多呈负相关性,其中以林地EVI与2~4月份日照时数的正相关性较为显著,城镇EVI与气象因子的关系相对较弱,更多的是受城镇化等人类活动的影响     

Farm income, gender differentials and climate risk in Cameroon: typology of male and female adaptation options across agroecologies

This paper explores the response to risk of smallholder agricultural producers in the face of variable and changing climate in Cameroon. The low rainfall distribution in some regions of the country and the high inter-seasonal variability of rainfall makes crop production, on which the livelihood of rural inhabitants is based, a risky enterprise. Women farmers in Cameroon are an important group for whom risk aversion influences production outcomes and welfare. This study identifies and analyses the effect of climate risks on the productive activities and the management options of male and female farmers. Women-owned farms, on average, record profits of US620 per hectare to about US 620 per hectare to about US 935 for crop enterprises across the different agroecological zones. Comparatively static results indicate that increases in climate variability and the uncertainty of climate conditions have an explicit impact on farm profit. The impacts of increased uncertainty in climate and risk aversion are ambiguous depending on the agroecology. Ex-ante and ex-post risk management options reveal that female-owned farms in the northern Sahel savannah zone rely on more sophisticated strategies to reduce the impact of shocks. While adapting to uncertain climate positively influences profit levels, risk measured as the variance of rainfall or temperature per unit variation in profit is significant. This analysis stresses the increased importance of climate risk management as a prelude to the panoply of adaptation choice in response to expected climatic change.     

环洱海地区气候变化特征研究

环洱海地区是云南省具有高原湖泊生态脆弱区、民族文化多元融合区和乡村经济发展活跃区等多重叠合特征的典型区域,是全球气候变化影响的敏感区和脆弱区。以环洱海地区1951~2014年6个基本站点的逐年平均气温、极端最高气温、极端最低气温、降水量、最大日降水量和日降水量≥0.1 mm日数资料为基础。采用线性倾向估计、Mann-Kendall趋势检验、Morlet小波分析和R/S分析等方法,研究了环洱海地区气候变化规律。结果发现:自1951年以来,环洱海地区年均气温和极端最低气温呈现出升高的趋势,而极端最高气温则呈现降低的趋势,变化速率分别为0.07℃/10 a、0.03℃/10 a和–0.14℃/10 a,对于年降水量、最大日降水量和降水日数而言,三者均为减少趋势,速率分别为–12.85 mm/10 a、–1.09mm/10 a和–1.73 d/10 a;环洱海地区年均气温、极端最高和极端最低气温均没有发生突变,年降水量和降水日数在2010年发生了一次减少突变,而最大日降水量则没有检测到突变的年份;环洱海地区年平均气温和年降水量在长时间尺度上的周期性变化最为显著,分别存在30 a和33 a左右的周期变化,并贯穿整个研究时段,而短时间尺度上的周期变化局域性特征突出;从未来演变趋势来看,年平均气温和极端最低气温将维持升温趋势,而极端最高气温则将持续降低趋势,年降水量继续减少的趋势未来将会逆转,但最大日降水量和降水日数两者将持续减少的概率更大。     

三峡库区局地气候变化

三峡库区地处鄂西和渝东的崇山峻岭中，局地气候受山谷和水体的共同影响，冬暖夏热，降水丰富。利用三峡库区及其周边地区33个气象观测站1961~2006年降水与温度观测资料，对2003年蓄水前后的降水、气温等要素作了时间对比分析，同时分别选取近库区和远库区站点作降水比值和温度差值分析，结果表明近几年库区降水较常年偏少，但降水趋势与西南地区降水年代际变化一致。20世纪90年代之后三峡库区气温有显著上升趋势，蓄水后受水域扩大影响近库地区的气温发生了一定变化，表现出冬季增温效应，夏季有弱降温效应，但总体以增温为主。由于三峡工程局地气候影响是一个复杂、长期的气候调节过程，所给出的结果只是三峡水库蓄水至今3年时间的观测分析结果，同时蓄水前后温度变化还需要更长时间观测分析统计，对水库水域扩大影响造成的局地气候效应有待更多研究方法及模式结果的验证。     

川西北高原畜牧业界限温度日期及资源的变化特征

利用川西高原31个气象观测站1961~2012年的观测资料,采用线性趋势法、Mann-Kendall突变检测法和Morlet小波分析方法,详细分析了川西北高原畜牧业界限温度0℃初日、5℃终日及0℃初日至5℃终日之间畜牧气候资源的变化特征。结果表明:(1)川西北高原稳定通过0℃初日及5℃终日在区域上有很大差异,主要受海拔高度、纬度的影响。(2)畜牧气候资源的年际变化总体呈增加趋势,但区域变化不均;(3)各要素年代际变化不同,积温在各个年代都比前一年代增加,而日照时数则呈现出一增两减一增的趋势,降水量的年代际变化型式与日照相反,呈现一减两增一减的趋势;(4)各因素突变特征明显,突变的时间主要出现在20世纪80年代,不同因素的突变类型不同;(5)畜牧业气候资源存在明显的周期性变化,各要素变化周期长短不一致,尤其是降水量以4a左右的短周期振荡为主。     

Responding to climate variability: the opening of an artificial mouth on the Senegal River

The city of Saint-Louis is marked by recurrent floods, despite the decrease in rainfall. The town that grew downstream the vast plain where Senegalese-Mauritanian basin topography flattens considerably has experienced periodic flooding since its foundation. In 2003, the premature flooding of the Senegal River urged the Senegalese authorities to take the initiative to open a breach in the coastal sand strip of the “Langue de Barbarie,” in order to evacuate the water surplus from the river to the ocean and therefore resolve forever the problem of river flooding. But the disruption of estuarine dynamics has led to a rapid expansion of this gap: a few meters wide at its excavation, it reaches over 2,700 m in August 2009. Moreover, 10 months after the widening of the gap, the old river mouth was completely closed. If the natural movement of a mouth can be observed on some major deltas in the world (even on the Senegal River in the past), this is here a true man-made relocation. Based on the statistical analysis of series of hydrological data, this article demonstrates on the one hand that climatic conditions in 2003 which generated a major flood is an anomaly detected in the sequence of dry climate variability observed in the Sahel. On the other hand, it studies the rapid evolution of this new mouth of the Senegal River and discusses some of impacts on the regional social–ecological system, in this sensitive Sahelian environment.     

Influence of climate on the atmospheric radiocarbon concentration

In this paper, the climate effect on the atmospheric radiocarbon concentration is estimated using the data, derived by using dendrochronologically dated tree ring samples, on sunspot number and global surface temperature during 1650–1800 A.D.; however, in order to use the data as a record of changes in radiocarbon production rate or cosmic ray intensity, the variations due to the geochemical process must be eliminated. The estimated influence of climate on the atmospheric radiocarbon concentration is 3–5 times greater than the direct contribution of the change of radiocarbon concentration through a Maunder minimum. The influence of climate on the atmospheric radiocarbon concentration through a transfer rate of CO₂ between atmosphere and ocean was estimated at a rate of −13% per degree.The elimination of variations caused by climate and sunspot activities from the variations in atmospheric radiocarbon concentration gives a long time scale trend having a minimum and maximum which occur in about the seventh century A.D. and the sixth millennium suggesting a good correlation between this trend of variation and paleogeomagnetic data.     

Analysis of observed and perceived climate change and variability in Arsi Negele District,Ethiopia

Climate change and variability has been detected in Ethiopia. Smallholder and subsistence farmers, pastoralists and forest-dependent households are the most hit by climate-related hazards. They have to have perception of climate change in order to respond it through making coping and/or adaptation strategies. Local perceptions and coping strategies provide a crucial foundation for community-based climate change adaptation measures. This study was specifically designed to (1) assess households’ perception and knowledge in climate change and/or variability, and (2) establish the observed changes in climate parameters with community perceptions and climate anomalies. Purposive stratified random sampling method has been used to gather information from 355 sample households for individual interviews supplemented by group discussion and key informants interviews. The analysis of observed and satellite climate data for the study district showed that mean maximum and minimum temperature for the period 1983–2014 has increased by 0.047 and 0.028 °C/year, respectively. However, the total rainfall has declined by 10.16 mm per annum. Seasonally, the rainfall has declined by 2.198, 4.541, 1.814 and 1.608 mm per annum for Ethiopian summer, spring, autumn and winter seasons, respectively. Similarly, the mean maximum temperature of the study area had showed an increment of 0.035, 0.049, 0.044 and 0.065 °C per year for spring, winter, autumn and summer seasons, respectively. The observed climate variation has been confirmed by people’s perception. Considering what had been the existed situations before 30 years ago as normal, an increase in temperature, an increase in drought frequency, a decrease in total rainfall, erratic nature of its distribution and the tardiness of its onset had been perceived by 88, 70, 97, 80 and 94% of the respondents, respectively, at current time—2015. Deforestation as a casual factor of climate change and variability had been perceived by 99.7% of the respondents. This had been also confirmed by scientific studies as it emits carbon dioxide and is the main driver of climate change and variability. Indigenous knowledge, including climate predictions, has been used by people to implement their day-to-day agricultural activities. Therefore, science should be integrated with the perception and indigenous knowledge of people to come up with concrete solution for climate change and variability impacts on human livelihoods.     

９６１~２０１０年中国大陆地面气候要素变化特征分析

利用1961~2010年全国大陆地面468个气象台站的气温、降水和日照时数等资料,采用Jones等提出的计算区域平均气候时间序列的方法对全国数据进行加权平均处理,采用线性趋势、反距离加权插值、Morlet小波分析、Mann Kendall法,分析了我国大陆地面近50 a来各气候要素的变化特征。研究表明：年平均气温、年平均最低气温、年平均最高气温、年极端最低气温、年极端最高气温均呈显著上升趋势,年平均温度差、年极端温度差、年平均日照时数均呈显著减少趋势;年平均气温、年平均降水、年平均最低气温、年平均最高气温、年极端最低气温、年极端最高气温、年平均温度差、年极端温度差、年平均日照时数分别存在14、26、14、14、25、16、26、25和25 a左右的变化主周期;在005的置信度水平下,年平均最高气温、年极端最低气温、年极端最高气温、年极端温度差、年平均降水和年平均日照时数均发生突变,其分别在1996、1981、1997、1975、1983和1982年发生突变,其余要素均未发生突变。分析还发现,各气候要素的变化主周期分别存在一定的相似性,突变时间也存在一定联系     

云南气候变化高分辨率模拟与RCP4.5情景预估

利用高分辨率区域气候模式CCLM（COSMO Model in Climate Mode）对云南省气温和降水的模拟资料,采用多种评价指标,对比分析了试验期（1961~2005年）的模拟结果与同期25个气象站的观测值,并对RCP45情景下的近期（2030~2040年）气温可能变化趋势进行了预估。结果表明：（1）CCLM区域气候模式能够较好地模拟云南省气温的演变趋势,而对降水的模拟能力相对较弱;（2）RCP45情景下,年平均气温（T）、最高气温（Tmax）和最低气温（Tmin）将呈现一致上升趋势,2030~2040年比基准期1986~2005年上升幅度均为12℃;（3）2030~2040年,云南省暖事件发生的可能性将增加,冷事件可能有所减少     

秦岭南部地区农业气候资源的变化及其对油菜的影响

秦岭南部地区地形及气候条件复杂,作为油菜主要种植区之一,研究其农业气候资源的变化特征及其对油菜的影响,可以为该区有效利用农业气候资源、合理安排农事活动提高油菜生产提供实践参考。以1960~2014年秦岭南部33个站点的逐日气象数据和近25a各省市统计年鉴资料,通过滑动平均、线性倾向估计、灰色关联分析等方法,研究秦岭南部农业气候资源的时空变化特征及对油菜产量的影响。结果表明:(1)近55a来,秦岭南部地区油菜生长季内平均气温和≥5℃积温呈上升趋势,平均速率分别为0.2、29.3℃/10 a,冻害指数、降水量、开花期降水量和相对湿度与日照时数都呈减少趋势,平均每10 a分别减少0.3、14.8 mm、1.4 mm、0.6%、32.2 h。(2)近55a来研究区油菜生长季内平均气温与≥5℃积温的多年平均空间分布都表现为由西南向东北方向递减,冻害指数的空间变化与二者相反,表明越冬期极端最低气温值在空间上由西南向东北逐渐减小;其水资源指标多年平均空间分布由南向北递减,日照时数则由西南向东北递增。(3)1960~2014年秦岭南部油菜生长季内平均气温与≥5℃积温在空间上均呈极显著的增加趋势,研究区西部变化幅度较小,东部变化幅度较大,冻害指数的空间变化趋势与二者相同;水资源与日照时数在空间上均呈极显著的减少趋势,只有少数站点表现为极显著的增加趋势,而日照时数在研究区东部变化幅度相对较大,其余区域变化幅度相对较小。总体上,平均气温和≥5℃积温高值区的变化幅度小,低值区变化幅度大,其他指标与之相反。(4)近25a来秦岭南部油菜气候产量呈不明显的上升趋势,平均速率为3.79 kg/(a·hm~2),其空间变化幅度差异大,且大部分站点的变化趋势均不显著;由关联度得作用于各区域油菜气候产量的主要影响因子存在差异。各农业气候资源指标的变化幅度越大,对油菜单产的可能影响相对较大。     

Climate variability and changes in the major cities of Bangladesh: observations,possible impacts and adaptation

High population density, inadequate infrastructure and low adaptive capacity have made the urban population of Bangladesh highly vulnerable to climate change. Trends in climate and climate-related extreme events in five major cities have been analyzed in this paper to decipher the variability and ongoing changes in urban Bangladesh. An analysis of 55 years (1958–2012) of daily rainfall and temperature data using nonparametric statistical methods shows a significant increase in annual and seasonal mean daily maximum and minimum temperatures in all five cities. A significant increase in climate-related extreme events, such as heavy rainfall events (>20 mm), hot days (>32 °C) and hot nights (>25 °C), is also observed. Climate model results suggest that these trends will continue through the twenty-first century. Vulnerability of urban livelihoods and physical structures to climate change is estimated by considering certainty and timing of impacts. It has been predicted that public health and urban infrastructures, viz. water and power supply, would be the imminent affected sectors in the urban areas of Bangladesh. Adaptation measures that can be adopted to mitigate the negative impacts of climate change are also discussed.     

鄱阳湖流域1960～2018年极端气温变化及其与大气环流的关系

为进一步揭示鄱阳湖流域极端气温事件变化及其影响因素,基于鄱阳湖流域24个气象站点连续59年观测资料,选取8个极端气温指数,分析鄱阳湖流域极端气温动态变化,并探讨了大气环流与极端气温变化的联系.结果表明:(1)鄱阳湖流域极端气温暖指数(暖昼天数、暖夜天数和夏日天数)及极值指数(日最低气温最小值和日最高气温最大值)均呈增加趋势;冷指数(冷昼天数、冷夜天数和霜冻天数)均呈逐渐减少趋势.(2)从空间分布来看,极端气温空间变化趋势与年际变化一致,极端气温暖指数和极值指数呈增加趋势,冷指数均呈减少趋势,但在不同地区变化趋势存在差异.流域各站点霜冻天数和冷昼天数均呈显著下降趋势,但在赣北地区下降趋势最显著.大部分站点(23/24)暖夜天数、夏日天数和日最低气温最小值均呈显著增加趋势;(3)鄱阳湖流域极端气温指数的变化与大气环流的变化存在相关性,其中西太平洋副高强度指数、夏季东亚季风指数、亚洲区极涡强度指数和北极涛动指数对极端气温事件影响显著.研究结果可为极端气候风险评估、灾害预警提供参考.     

Hydrologic and land use impacts on vegetation growth and NPP at the watershed scale in a semi-arid environment

Significant, adverse climatic change and drastically increased demographic pressure have strongly affected, in recent years, the hydrology and environment in the semi-arid Sahel region of West Africa. Marked rain deficits have coincided with increased water runoff, meaning less water availability for the vegetation. Conversely, changes in vegetation cover have had strong repercussions on the hydrologic cycle. To study these phenomena, the coupling of two explicit, process-based models, of catchment hydrology and of mixed vegetation cover, respectively, has been undertaken and applied to a 2 km² site in Niger. Some of the first significant results are presented herein. Some are consistent with intuitive judgments that can be made in the absence of a coupled model, others are much less so and show that representation through model coupling of hydrosphere/biosphere interactions is essential to produce more reliable analyses and projections. In particular, it is found that the relation of biomass productivity to rainfall under this dry, water-limited climate is not as straightforward as one would expect, more specifically, that its main control may not be the total season rainfall.     

青藏高原NPP时空演变格局及其驱动机制分析

青藏高原植被生态系统对全球变化的响应较为敏感。该研究引入重心模型等方法分析和探讨了2000～2015年青藏高原NPP时空变化格局及其驱动机理,并定量区分了NPP变化过程中气候变化和人类活动的相对作用。结果发现:(1)2000～2015年,青藏高原NPP年均值总体上呈现从东南向西北递减的趋势。在年际变化方面,近16年青藏高原不同生态子区的NPP均呈现不同程度的增加趋势。(2)近16年青藏高原NPP重心总体向西南方向移动,表明西南部NPP在增量和增速上大于东北部。(3)NPP与降水显著相关的区域主要位于青藏高原中部、青藏高原东南部及雅鲁藏布江流域中下游,而NPP与气温显著相关的区域主要位于藏南地区、横断山区北部、青藏高原中部和北部。(4)气候变化和人类活动在青藏高原NPP变化过程中的相对作用存在显著的时空差异性,在空间上呈现"四线-五区"的格局。研究成果可为揭示青藏高原区域生态系统对全球变化的响应机制提供理论和方法支撑。     

Variability and trends in rainfall amount and extreme event indices in the Omo-Ghibe River Basin,Ethiopia

This study evaluates variability and trends in rainfall amount and extreme event indices in the Omo-Ghibe River Basin of Ethiopia based on observed records from six stations. Nine daily rainfall indices were defined and analyzed based on the World Meteorological Organization guideline. Sen’s slope estimator and Mann–Kendall’s trend test were used to determine the magnitude and statistical significance of the rainfall changes, respectively. The results show complex patterns of rainfall variability and local-scale trends. Statistically significant increasing changes were observed at Key Afer for most of the indices. On the other hand, the increasing trends in the number of very heavy rainfall events (R20 mm) were statistically significant at three (Jinka, Key Afer and Wolaita Sodo) out of the six stations. On the other hand, significant decreasing trends were found at Sawla for the maximum one day (Rx1 day) and the number of very heavy rainfall event (R20 mm). No systematic trends were found for the number of wet and dry day-related rainfall indices. However, the annual total rainfall averaged for the entire basin and at two stations (Key Afer and Wolaita Sodo) showed statistically significant increasing trends, both at the 0.01 level. Generally, the results of this study contradict with previous studies that reported significant declining trends in annual and Kiremt (main rainy season) rainfall amounts over this part of the country, suggesting the reviving of rainfall during the last two decades. Also, the results of this study agree with previous researches that reported the absence of systematic patterns of trends in daily rainfall indices in different parts of the country. The study has important implications for an effective management of water resources and climate risk management particularly in view of the fact that five hydropower plants and large-scale sugarcane plantations are planned, and some are under construction in the basin.     

2000～2015年江汉平原区域植被NPP时空特征及其对气候变化的响应

植被NPP对气候变化的响应是全球变化与陆地生态系统碳循环研究的重要核心内容之一。利用CASA模型估算了2000~2015年江汉平原植被NPP,并利用线性回归与逐像元相关性分析方法定量研究了江汉平原植被NPP的时空变化特征及其与气候因素的相关性。结果表明：（1）16年来江汉平原植被NPP的年总量在25.43~29.76 TgC之间,呈波动增加趋势;（2）江汉平原NPP的空间分布格局具有明显的不均匀特征,形成一系列的高值中心和低值中心,符合“丘陵-平原-河流-城市”的衰减趋势;（3）江汉平原NPP与年降水量、年均温的相关系数分别为0.183 7和0.498 5;经显著性检验可知,江汉平原NPP的产量与年降水量相关性较弱,而与年均温则呈较强的正相关关系;（4）植被NPP与年降水量、年均温呈正相关的像元面积分别占总面积的69.19%和83.41%,主要分布在江汉平原腹部的农耕区域,说明江汉平原农耕区NPP的产量对年降水量与年均温的依赖性较强。     

岷江径流变化特征及其对青藏高原气候变化的响应

依据1961~2003年水文气象资料,运用Mann Kendall检验和线性倾向估计方法进行了岷江年径流、青藏高原年气温与年降水长期变化特征分析及其变化趋势显著性检验,利用Pearson相关分析研究了岷江径流变化与青藏高原气温和降水间的相关性。结果表明：(1)在青藏高原年平均气温显著升高而年降水略有增加但不显著的气候环境下,岷江径流量总体呈减少的变化趋势,年变化率分别为上游紫坪铺站-2619 0 m3/s、下游高场站-6538 5m3/s,其中紫坪铺站径流减少趋势十分显著,通过了5%显著水平的信度检验;从季节变化上看,岷江径流减少主要发生在夏季和秋季,而以春季变化最少;从时间变化特性看,在60~80年代,岷江年径流呈现出年代际的周期性波动变化。(2)岷江径流随青藏高原平均气温的升高而减小;青藏高原降水与岷江径流间的相关性在上下游及季节上则表现不同,与春季径流的相关性最强,与上游紫坪铺站径流具有弱负相关性,而与下游高场站径流具有显著的正相关性;同时,岷江径流变化对青藏高原气温和降水变化在时间响应上还表现出季节上的滞后性。     

探索性数据分析在西藏气候变化趋势研究中的应用

为了减少小样本时间序列资料中个别异常值对气候变化趋势分析的破坏性影响,采用探索性数据分析方法之一的三组耐抗线对西藏近30年气温、云量资料进行线性趋势分析,研究了西藏地区气温和云量的变化趋势及其区域分布,并讨论了二者的相关特征。通过与传统的最小二乘法相比,表明三组耐抗线用于西藏气候变化趋势分析具有明显优势,而用最小二乘法得到的西藏气候变暖估计偏高。分析认为,西藏气候变暖主要由最低气温增高显著所致,最低气温变暖趋势在春、夏季较明显,冬季相对不明显;西藏各地增温幅度在空间分布上不一致,中、西部地区呈较强的增温趋势,东部相对较弱;西藏高原总云量和低云量总体呈减少趋势,总云量和低云量变少分别与西部和中部地区的升温之间存在显著负相关关系。     

秦岭南北潜在蒸散量时空变化及突变特征分析

根据秦岭南北54个气象站1960～2011年逐日数据,利用FAO Penman Monteith公式计算出各站的潜在蒸散量（ET0）。采用样条曲线插值法（Spline）、气候倾向率、Pettitt突变点检测、相关分析等方法对该区ET0的时空变化特征以及影响其变化的气象要素进行了分析。结果表明：（1）研究区多年平均ET0为9642 mm,空间分布呈东高西低格局。各分区按其大小排序为秦岭以北>秦岭南坡>汉水流域>巴巫谷地。四季ET0分布特征与年尺度上的结论基本一致,4个季节按其大小排序为夏季>春季>秋季>冬季;（2）近52 a ET0下降的站点占本区站点总数的比例排序为汉水流域>秦岭南坡>巴巫谷地>秦岭以北,秦岭以南的广大地区相对于秦岭以北ET0下降更明显,春季大部分（78%）站点ET0上升,夏季绝大部分（91%）站点显著下降,秋季和冬季变化趋势不明显;（3）年尺度和春季ET0突变点集中出现在1979～1981年和1993年,夏季85%的站点发生了突变,其中89%发生于1979年,秋季和冬季的突变特征无明显规律可言;（4）夏季降水与潜在蒸散量变化趋势的空间分布整体上呈相反趋势,呈相反趋势的站点占站点总数的70%,秋季则达到76%。23个站点中绝大多数ET0与日照时数、最高气温、平均气温和平均风速呈显著水平（P<001）的正相关关系,相关系数排序为日照时数>最高气温>平均气温>平均风速。风速和日照时数的降低是导致秦岭南北ET0减少的主导因素,风速和日照时数的下降导致夏季和冬季ET0减少,气温上升导致春季和秋季ET0增加或整体保持稳定