期刊文献+
共找到7篇文章
< 1 >
每页显示 20 50 100
基于Penman-Monteith模型和Shuttleworth-Wallace模型对太行山南麓人工林蒸散的模拟 被引量:8
1
作者 母艳梅 李俊 +3 位作者 同小娟 张劲松 孟平 任博 《北京林业大学学报》 CAS CSCD 北大核心 2017年第11期35-44,共10页
蒸散作为陆地生态系统能量平衡和水分循环的一个关键环节,其改变会影响区域气候的变化。森林蒸散模拟研究在评价森林在区域水分循环中的作用具有重要的意义。本文采用Penman-Monteith(P-M)模型和Shuttleworth-Wallace(S-W)模型模拟了太... 蒸散作为陆地生态系统能量平衡和水分循环的一个关键环节,其改变会影响区域气候的变化。森林蒸散模拟研究在评价森林在区域水分循环中的作用具有重要的意义。本文采用Penman-Monteith(P-M)模型和Shuttleworth-Wallace(S-W)模型模拟了太行山南麓栓皮栎-侧柏-刺槐人工混交林的蒸散(ET),对模型模拟的ET与涡度相关法所得的ET进行了比较,评价了P-M模型和S-W模型模拟人工混交林ET的适用性,讨论了这两种模型对各阻力的敏感性。研究结果表明,P-M模型和S-W模型模拟所得的ET的季节变化和日变化类似。S-W模型和P-M模型模拟的ET均低于实测的ET,S-W模型模拟的ET比实测的ET偏低6%,P-M模型模拟的ET比实测值偏低21%,因此,P-M模型模拟的ET偏低更明显。与P-M模型相比,S-W模型模拟的ET与实测值的相关系数、一致性指数(IA)、均方根误差(RMSE)、相对误差(RE)较小。与P-M模型相比,S-W模型模拟的ET与实测值的拟合直线更加趋近1∶1线。S-W模型模拟ET的效果优于P-M模型,S-W模型更适合于本研究区人工混交林蒸散的模拟。P-M模型模拟的2009年生长季的ET偏低更明显,将S-W模型模拟的ET分为蒸腾(T)和土壤蒸发(E),其中土壤E与ET比值为11.3%。土壤E约占ET的10%左右。P-M模型模拟ET偏低的原因可能与P-M模型中未考虑土壤表面阻力有关。S-W模型模拟的ET和T对冠层阻力(rcs)最敏感,其次为植物冠层高度至参考高度间的空气动力学阻力(raa),对土壤表面至冠层高度间的空气动力学阻力(rsa)相对不敏感;土壤E对土壤表面阻力(rss)最敏感,对rcs最不敏感。P-M模型模拟的ET对rcs最敏感,对空气动力学阻力(ra)敏感性较弱。 展开更多
关键词 penman-monteith(p-m)模型 Shuttleworth-Wallace(S-W)模型 蒸散 模型参数敏感性
下载PDF
Sensitivity of Penman-Monteith Reference Crop Evapotranspiration in Tao'er River Basin of Northeastern China 被引量:16
2
作者 LIANG Liqiao LI Lijuan +2 位作者 ZHANG Li LI Jiuyi LI Bin 《Chinese Geographical Science》 SCIE CSCD 2008年第4期340-347,共8页
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 northeaste... 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 tem- perature 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 tem- perature. 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 sensitiv- ity 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 hu- midity and sunshine hours was also found, which was similar to the distribution of the three climate variables. 展开更多
关键词 reference crop evapotranspiration penman-monteith equation sensitivity coefficient Tao'er River Basin
下载PDF
Analysis of Reference Evapotranspiration Change and Its Impact Factors in Australia
3
作者 谢今范 曾丽红 +1 位作者 宋开山 张柏 《Agricultural Science & Technology》 CAS 2009年第5期30-33,共4页
[ Objective] To discuss regional response of reference evapotranspiration ( ETo ) to global climate change and its influencing factors. [Method] Penman-Monteith equation was adopted to calculate ET0 in Australia fro... [ Objective] To discuss regional response of reference evapotranspiration ( ETo ) to global climate change and its influencing factors. [Method] Penman-Monteith equation was adopted to calculate ET0 in Australia from 1998 to 2007. Spatiotemporal change characteristics were analyzed by using GIS spatial analysis tools and relationships between ETo and main climate factors were also analyzed. [ Resultsl The results showed that multi-year average ET0 increased from the east and south part to the northwest part and inland, and its distribution was consistent with climate zones. Multi-year average ETo of the whole region was 1 750 mm, obtaining minimum and maximum values in 2000 and 2002 respectively. Regional ETo decreased in the order of summer, spring, autumn and winter; January and December got the highest monthly ET0, while June got the lowest value 79.55 mm. ETo positively correlated with mean temperature and solar radiation, R2 for each were 0.83 and 0.94, while the relationship between ETo and average relative humidity was negative, and precipitation had no significant relationship with ET0. [ Conclusion] This research could provide important reference for crop water requirement study and making irrigation method for Australia. 展开更多
关键词 AUSTRALIA Reference evapotranspiration penman-monteith equation Spatiotemporal change
下载PDF
陕西省潜在蒸散发的敏感性及变化成因分析 被引量:4
4
作者 安彬 肖薇薇 《南水北调与水利科技》 CSCD 北大核心 2018年第4期90-97,113,共9页
潜在蒸散发(ET_0)是准确估计作物需水量和合理制定农田管理制度的重要参考依据,分析其对气象要素的敏感性对评估区域陆地水资源利用效率具有重要意义。根据陕西省1955-2015年的20个气象站的逐日实测气象数据,利用Penman-Monteith方程计... 潜在蒸散发(ET_0)是准确估计作物需水量和合理制定农田管理制度的重要参考依据,分析其对气象要素的敏感性对评估区域陆地水资源利用效率具有重要意义。根据陕西省1955-2015年的20个气象站的逐日实测气象数据,利用Penman-Monteith方程计算逐日ET_0,应用敏感性公式计算ET_0对最高气温、最低气温、相对湿度、平均风速、日照时数等5个关键气候要素的敏感系数,探究敏感系数的时空分布规律及变化趋势;并结合气象要素的多年变化定量分析的变化ET_0成因。结果表明:(1)ET_0对气象要素的敏感系数年内变化幅度依次为:相对湿度>日照时数>最低气温>风速>最高气温。(2)陕西省年均ET_0对气象要素的敏感程度均在"中"等级以上,相对湿度最为敏感;年际敏感系数显著增减变化趋势南北差异大,且空间分布特征表现不一。(3)ET_0与关键气候要素之间呈现的复杂非线性关系,使各气象站ET_0变化的主导气象要素也不尽相同,存在明显空间差异。 展开更多
关键词 潜在蒸散发 penman-monteith(p-m)方程 气候变化 敏感系数 陕西省
下载PDF
Wet Canopy Evaporation Rate of Three Stands in Western Sichuan, China 被引量:1
5
作者 YANGWanqin WANGKaiyun +1 位作者 SeppoKellomaki XIAOLing 《Journal of Mountain Science》 SCIE CSCD 2004年第2期166-174,共9页
The wet canopy evaporation rate (Er) wascalculated by Penman-Monteith combination model based on three assumptions and with meteorological variables 2 m above the canopy inthree stands, dominated by spruce (SF), fir (... The wet canopy evaporation rate (Er) wascalculated by Penman-Monteith combination model based on three assumptions and with meteorological variables 2 m above the canopy inthree stands, dominated by spruce (SF), fir (FF) and birch (BF) trees, respectively[(,)( )]in the subalpineforests in western Sichuan, China over a growingseason. The total amount of the E was 44.5 mm forSF, 88.5 mm for FF and 57.8 mm for BF, accounting for 9.2%, 16.6% and 10.2% of the gross rainfall,respectively, in the measuring period. There was the highest average monthly Er and percentage of E togross rainfall for FF compared with SF and BF.Mean Er was 0.097 mm h-1 (ranging from 0.028 to0.487 mm h-1), 0.242 mm h-1 (from 0.068 to 0.711 mm h-1) and 0.149 mm h-1 (from 0.060 to 0.576 mm h-1for SF, FF and BF, respectively. The highest average monthly Er occurred in June was 0.120 mm h-1 forSF, 0.317 mm h-1 for FF and 0.169 mm h-1 for BF, and the lowest value in October was 0.083 mm h-1 for SF, 0.187 mm h-1 for FF and 0.101 mm h-1 for BF,respectively. The averages of Er from 8:00 to 16:00were significantly higher than those from 0:00 to8:00 and from 16:00 to 0:00 for the three stands. The marked daily and monthly differences of Er were contributable to the variations of solar radiation, air temperature and relative humidity above thecanopy. 展开更多
关键词 Wet canopy evaporation ratemeteorological variable penman-monteith equation subalpine forest western Sichuan
下载PDF
红原县参照蒸散发的计算和影响因子分析
6
作者 李玫 范彦辰 +1 位作者 曾永刚 何东 《成都大学学报(自然科学版)》 2019年第1期98-101,共4页
为研究高寒地区参照蒸散发与气候因子之间的关系,以红原县为研究对象,收集了红原县7年的气象因子监测数据,利用Penman-Monteith(P-M)方法计算了该区域的参照蒸散发量并对其时间变化特征进行了分析.结果表明:该区域参照蒸散发存在明显的... 为研究高寒地区参照蒸散发与气候因子之间的关系,以红原县为研究对象,收集了红原县7年的气象因子监测数据,利用Penman-Monteith(P-M)方法计算了该区域的参照蒸散发量并对其时间变化特征进行了分析.结果表明:该区域参照蒸散发存在明显的季节性变化,在夏季达到最高值.同时,通过单因子敏感性分析方法,研究了该区域气象因子对参照蒸散发的影响.研究发现,对参照蒸散发影响较大的气象因子依次为大气压、气温和日照时数. 展开更多
关键词 红原县 参照蒸散发 penman-monteith(p-m)模型 气象因子
下载PDF
Quantitative estimation of climate change effects on potential evapotranspiration in Beijing during 1951-2010 被引量:11
7
作者 LIU Haijun LI Yan +2 位作者 JOSEF Tanny ZHANG Ruihao HUANG Guanhua 《Journal of Geographical Sciences》 SCIE CSCD 2014年第1期93-112,共20页
℃ Climate change is likely to affect hydrological cycle through precipitation, evapotranspiration, soil moisture etc. In the present study, an attempt has been made to study the climate change and the sensitivity of... ℃ Climate change is likely to affect hydrological cycle through precipitation, evapotranspiration, soil moisture etc. In the present study, an attempt has been made to study the climate change and the sensitivity of estimated evapotranspiration to each climatic variable for a semi-arid region of Beijing in North China using data set from 1951 to 2010. Penman-Monteith method was used to calculate reference crop evapotranspiration (ETo). Changes of ETo to each climatic variable was estimated using a sensitivity analysis method proposed in this study. Results show that in the past 60 years, mean temperature and vapor pressure deficit (VPD) were significantly increasing, relative humidity and sunshine hours were significantly decreasing, and wind speed greatly oscillated without a significant trend. Total precipitation was significantly decreasing in corn season (from June to September), but it was increasing in wheat season (from October to next May). The change rates of tem- perature, relative humidity, VPD, wind speed, annual total precipitation, sunshine hours and solar radiation were 0.42℃, 1.47%, 0.04 kPa, 0.05 m.s-1, 25.0 mm, 74.0 hours and 90.7 MJ.m-2 per decade, respectively. In the past 60 years, yearly ETo was increasing with a rate of 19.5 mm per decade, and total ETos in wheat and corn seasons were increasing with rates of 13.1 and 5.3 mm per decade, respectively. Sensitivity analysis showed that mean air temperature was the first key factor for ETo change in the past 60 years, causing an annual total ETo increase of 7.4%, followed by relative humidity (5.5%) and sunshine hours (-3.1%); the less sensitivity factors were wind speed (0.7%), minimum temperature (-0.3%) and maximum temperature (-0.2%). A greater reduction of total ETo (12.3%) in the past 60 years was found in wheat season, mainly because of mean temperature (8.6%) and relative hu- midity (5.4%), as compared to a reduction of 6.0% in ETo during corn season due to sunshinehours (-6.9%), relative humidity (4.7%) and temperature (4.5%). Increasing precipitation in the wheat season will improve crop growth, while decreasing precipitation and increasing ETo in the corn season induces a great pressure for local government and farmers to use water more efficiently by widely adopting water-saving technologies in the future. 展开更多
关键词 climatic variables reference crop evapotranspiration penman-monteith equation changing trend sensitivity analysis
原文传递
上一页 1 下一页 到第
使用帮助 返回顶部