干旱区芦苇蒸散量计算模式研究

从蒸散量和水面蒸发量之比与主要根系层平均含水率的关系出发,利用在中国科学院阿克苏水平衡试验站芦苇试验小区监测的土壤水分和蒸散资料,建立了干旱区芦苇蒸散量的计算模式,并利用芦苇实际蒸散量的测量值,对模式进行了验证。结果表明,模式计算精度较高,可以作为计算干旱区芦苇蒸散量的一种计算方法而使用。     

近40 a江河源区潜在蒸散量变化特征及影响因子分析

 利用1966—2005年江河源区8个气象站的逐月气候资料,采用Penman-Monteith公式,对源区近40 a潜在蒸散量的时空分布特征和变化趋势进行了分析,并对造成潜在蒸散量变化的主要气候影响因子进行了探讨。结果表明:①江河源区年潜在蒸散量平均为977 mm,高值区位于西北部,低值区位于东南部;潜在蒸散量在空间上可以划分为源区北部、长江源区南部和黄河源区南部3个不同的区域;②近40 a来,江河源区年及四季潜在蒸散量均呈减少趋势,且长江源区南部比其他区域下降显著,夏季比其他季节下降显著,年潜在蒸散量的变化主要以21 a左右和7 a左右的周期振荡为主,且在1985年左右发生均值突变;③源区年和四季潜在蒸散量与风速、净辐射和饱和差关系密切,40 a来风速的明显减小是导致源区潜在蒸散量减小的主要原因。     

Evapotranspiration and canopy characteristics of two lodgepole pine stands following mountain pine beetle attack

Over the past decade, British Columbia (BC), has experienced the largest mountain pine beetle (MPB) outbreak on record. This study used the eddy‐covariance (EC) technique to examine the impact of the MPB attack on evapotranspiration (E) and associated canopy characteristics of two lodgepole pine stands with secondary structure (trees, saplings and seedlings surviving the attack) located in central BC. MPB‐06, an 85‐year‐old almost pure stand of pine trees, was first attacked in 2006, and by 2010, ~80% of the trees had been killed. MPB‐03, a 110‐year‐old stand with an overstory consisting of over 90% pine and a developed sub‐canopy, was first attacked in 2003 and by 2007 had > 95% pine canopy mortality. EC measurements began in August 2006 at MPB‐06 and in March 2007 at MPB‐03, and continued for four years. Annual total E ranged from 226 mm to 237 mm at MPB‐06, and from 280 to 297 mm at MPB‐03, showing relatively little year‐to‐year change at both sites over the four years. Increased E from the accelerated growth of the surviving vegetation (secondary structure, shrubs and herbs) compensated for reduction in E due to the death of the overstory. Monthly average daytime canopy conductance, the Priestley–Taylor (α), and the canopy–atmosphere decoupling coefficient (Ω) steadily increased during the growing season reaching approximate maximum values of 5 mm s^?1, 0.75 and 0.12, respectively. Potential evapotranspiration was approximated using a vapour pressure deficit‐dependent α obtained at high soil water content. Calculated water deficits indicated some water‐supply limitation to the surviving trees and understory at both sites. Rates of root zone drainage during the growing season were low relative to precipitation. Copyright © 2013 John Wiley & Sons, Ltd.     

Atmospheric and soil moisture controls on evapotranspiration from above and within a Western Boreal Plain aspen forest

The Western Boreal Plain of North Central Alberta comprises a mosaic of wetlands and aspen (Populus tremuloides) dominated uplands where precipitation (P) is normally exceeded by evapotranspiration (ET). As such these systems are highly susceptible to the climatic variability that may upset the balance between P and ET. Above canopy evapotranspiration (ET_C) and understory evapotranspiration (ET_B) were examined using the eddy covariance technique situated at 25.5 m (7.5 m above tree crown) and 4.0 m above the ground surface, respectively. During the peak period of the growing seasons (green periods), ET_C averaged 3.08 mm d^?1 and 3.45 mm d^?1 in 2005 and 2006, respectively, while ET_B averaged 1.56 mm d^?1 and 1.95 mm d^?1. Early in the growing season, ET_B was equal to or greater than ET_C once understory development had occurred. However, upon tree crown growth, ET_B was lessened due to a reduction in available energy. ET_B ranged from 42 to 56% of ET_C over the remainder of the snow‐free seasons. Vapour pressure deficit (VPD) and soil moisture (θ) displayed strong controls on both ET_C and ET_B. ET_C responded to precipitation events as the developed tree crown intercepted and held available water which contributed to peak ET_C following precipitation events >10 mm. While both ET_C and ET_B were shown to respond to VPD, soil moisture in the rooting zone is shown to be the strongest control regardless of atmospheric demand. Further, soil moisture and tension data suggest that rooting zone soil moisture is controlled by the redistribution of soil water by the aspen root system. Copyright © 2013 John Wiley & Sons, Ltd.     

Variation of reference evapotranspiration and its contributing climatic factors in the Poyang Lake catchment,China

By using linear regression (parametric), Mann–Kendall (nonparametric) and attribution analysis methods, this study systematically analysed the changing properties of reference evapotranspiration (ETr) calculated using the Penman–Monteith method over the Poyang Lake catchment during 1960–2008 and investigated the contribution of major climatic variables to ETr changes and their temporal evolution. Generally, a significant decreasing trend of annual ETr is found in the catchment. The decrease of annual ETr in the Poyang Lake basin is mostly affected by the decline of summer ETr. Over the study period, climatic variables, i.e. sunshine duration (SD), relative humidity (RH), wind speed (WS) and vapour pressure all showed decreasing trends, whereas mean daily temperature (DT) increased significantly. Multivariate regression analysis indicated that SD is the most sensitive climatic variable to the variability of ETr on annual basis, followed by RH, WS and DT, whereas the effect of vapour pressure is obscure. Although recent warming trend and decrease of relative humidity over the catchment could have increased ETr, the combined effect of shortened SD and reduced WS negated the effect and caused significant decrease of ETr. Our investigation reveals that the relative contributions of climatic variables to ETr are temporally unstable and vary considerably with large fluctuation. In consideration of the changes of climatic variables over time, further analysis indicated that changes of mean annual ETr in 1970–2008 were primarily affected by SD followed by WS, RH and DT with reference to 1960s. However, WS became the predominant factor during the period 2000–2008 compared with reference period 1960s, and followed by SD. Copyright © 2013 John Wiley & Sons, Ltd.     

基于涡动相关仪验证的SEBS模型对黑河中游地表蒸散发的估算研究

在我国西北干旱和半干旱地区, 农业收获主要依靠灌溉保证, 灌溉绿洲的蒸散发(ET)是当地水资源的主要消耗. 通过遥感估算区域灌溉绿洲的ET对于地区合理利用水资源极其重要, 利用MODIS/Terra 影像, 基于物理过程的地表能量平衡模型(SEBS), 结合WRF模式输出的气候驱动数据和地面观测数据来估算黑河中游地区的地表通量和日蒸散发(ET_daily). 估算的ET用不同下垫面的涡动相关仪观测数据进行验证, 结果显示: SEBS模型估算的不同下垫面的ET_daily具有很好的拟合效果(R²=0.96, P<0.001), 在灌溉绿洲估算的ET_daily比实测值偏高, 说明干旱、半干旱地区灌溉绿洲土壤水分胁迫是影响ET的主要因素. 模型估算绿洲作物生长期间的ET_daily和实测的ET_daily平均相对误差为12.5%, 精度在观测的能量不闭合误差以内且精度比戈壁和沙漠地区高.     

垃圾填埋场毛细阻滞型腾发封顶模型试验

作为替代型垃圾填埋场封顶,毛细阻滞型腾发封顶具有诸多优点,但目前主要在欧美干旱、半干旱地区使用,对其在湿润气候区工作性能的研究较少。选用低塑性粉质黏土和砾砂作为填料,在杭州市一露天环境构筑模型土柱并培育植被,量测自然降雨、蒸发和植被蒸腾作用下土柱透水量、地表径流量和各深度含水率变化,探讨毛细阻滞型腾发封顶的工作机制。试验历时15个月,得到该封顶在降雨高峰期、晴热高温期、台风影响期和冬季阴冷期等时段的响应。试验结果表明,降雨和腾发作用下粉质黏土含水率变化较大,底部砾砂中也有较小幅度干湿循环,腾发可在整个封顶土层范围内起作用;当粉质黏土底部达到饱和,砾砂含水率接近4%时底部有水透出,此时该封顶暂时失效,后随水汽运移毛细阻滞界面功能恢复,该封顶仍能正常工作;试验过程中,降雨总量为1 782.6 mm,共产生地表径流为53.08 mm,透水为19.64 mm,其他降水均在土层吸持与腾发交替作用下最终返回大气,在试验期间该封顶能有效地阻止降雨入渗。     

最大熵增地表蒸散模型:原理及应用综述

精确估算地表蒸散一直是地球系统科学中的难点问题。经典的蒸散模型大多建立在水汽输送及能量平衡约束等基础上,相关的基础理论研究进展缓慢。最大熵增地表蒸散(E-MEP)模型是在综合借鉴贝叶斯概率论、信息熵概念、非平衡态热力学理论和大气边界层湍流相似性理论的基础上,建立的全新地表蒸散理论框架,克服了经典模型的主要缺陷,包括:离散梯度模型不满足能量守恒条件,Penman模型针对饱和土壤,Penman-Monteith模型需要率定经验参数等。E-MEP模型具有3个显著特点:①同时给出地表(包括水面、雪面和冰面)蒸散量、感热通量和介质表面热通量,且在所有时间空间尺度上满足能量平衡方程;②模型公式中没有可调经验参数,不依赖于温度梯度和水汽梯度变量,不需要输入风速和表面粗糙度;③适用于任何土壤含水量和植被覆盖条件。由于E-MEP模型建立在坚实的数学物理基础上,并具有解析表达式,简单易用,其输入变量和模型参数少于传统蒸散模型使用。地表辐射、表面温度、表面比湿等模型输入变量易于实地观测获取,且可通过遥感反演获得。检验分析表明,E-MEP模型优于Penman和Penman-Monteith等传统蒸散模型。这一全新的地表蒸散模型已被用于大尺度地表水热的遥感反演和过程监测,并用于改进气候模式的参数化方案。     

不同蒸散发计算模型在新疆喀什地区的适用性及对比分析研究

为分析不同蒸散发模型在新疆喀什地区的适用性,结合国内常用两种蒸散发计算方法,应用区域实测蒸发数据,按照年、月、季三个时间尺度分析两种方法计算的适用性和精度。结果表明:VIC模型在年尺度上适用性好于P-M模型,但在夏季和秋季尺度上,P-M模型好于VIC模型,各模型在夏季蒸发计算上好于其他季节。研究成果对于喀什地区蒸发计算提供重要的方法参考。     

1971-2005年西藏主要农区农田蒸散量变化特征及其与环境因子的关系

利用1971—2005年西藏"一江两河"主要农区4个气象站点月平均最高气温、最低气温、降水量、风速、相对湿度、日照时数等资料,应用Penman-Monteith模型计算了农田蒸散量,分析其空间分布、年际和年代际变化特征,并讨论了影响蒸散量变化的气象因子.研究表明:近35a西藏主要农区年蒸散量表现为不同程度的减小趋势,为-16.5～-71.6mm.(10a)-1,以泽当减幅最大;四季蒸散量均呈现为减小趋势,以冬季减幅最明显.土壤水分年亏缺量呈明显的减少趋势,平均每10a减小59.6mm,特别是近25a(1981—2005年)减幅更明显.20世纪70年代至90年代年、季蒸散量均为逐年代减小趋势.90年代与80年代比较,主要农区各季土壤水分亏缺量都有不同程度的减小,尤其是夏季由亏缺转为盈余.日照时数和平均风速的显著下降,以及平均相对湿度的明显增加可能是蒸散量显著下降的主要原因,平均气温日较差的显著减小和降水量的增加在蒸散量减少趋势中也起着重要作用.