中国主产区玉米冠层对降水的截留研究

基于13个农业气象试验站2010—2017年逐日气象观测数据和玉米观测数据,采用针对玉米的截留模型,研究自然降雨条件下中国主产区玉米冠层截留及其变化规律。结果表明:在不同气候条件和生长状况下,玉米全生育期冠层截留差异较大。玉米冠层生长季平均截留量为4.3～23.5 mm,拔节到成熟期降水量≤70 mm时,截留量不足8 mm,随着降水量增加,截留量先是同时受降水量和最大面积指数制衡,后变为对最大叶面积指数更敏感。平均截留率为1.9%～11.6%,中国四大玉米主产区中的黄淮海夏播玉米区截留率最稳定,生长季降水量120 mm的地区截留率超过10%,按玉米主产区和气候干湿度两种分类提供平均截留率范围。依据拔节到成熟期降水量、最大叶面积指数及截留变化规律可以估算不同地区玉米冠层截留量和截留率,为有效降水评估、干旱指标修正、农田水分循环等方面提供科学依据。     

植物对降水截留的研究进展

降水资源是植物生长发育和产量形成的主要水分来源,植物通过吸收土壤中的水分维持正常生长发育,降水不仅影响自然植物物种分布,也影响植物生产力。由于未考虑植物冠层对降水的截留作用,在水资源评估和农田水分平衡研究中往往高估降水作用,因此,讨论降水截留在水文生态学和农业气象学中均有重要意义。该文系统介绍降水截留的观测方法,包括间接测量法中各分量测定方法、直接测量法详细过程及应用各种方法需注意的问题;系统回顾有关森林和农作物对降水截留的研究成果;探讨在植物对降水截留研究中存在的主要问题:对截留概念的理解不同导致截留测定结果差异显著,没有完善的方法导致测定结果准确性不足,植物种植密度不同导致截留差异,降水强度不同导致截留差异,风速、植物形态结构、叶片表面特性等因素也会影响降水截留的大小。降水过程中植物叶面蒸发问题、降雪的截留问题、风的影响、研究尺度、研究方法以及综合模拟模型将是未来研究的重点和难点。     

祁连山林区大气降水特征与森林对降水的截留作用

通过对连山寺大隆林区定位站1975－2000年的降水特征与森林对降水的再分配分析，建立了祁连山大隆林区降水与温度，降水与湿度，林冠截留的关系式。该区多年平均降水量为433.5mm，年变幅在326.4-539.7mm;降水量最大出现在夏季，占全年降水量的65．70％；海拔高度每升高100m，年了量平均递增4．55％，林区温度和湿度均与降水有较好的拟合关系。青海云杉林与祁连圆柏林林冠对大气降水的平均截留率分别为37．5％，31．7％，灌木林的截留率平均高达66．5％。青海云杉林林冠层平均截留率随着降雨量的增大逐渐减小，当降雨量为18.67mm时，林冠截留量达到最大，为14.72mm；青海云杉树干径流量占降水量的0．51％，当降雨量超过12.0mm时，才开始产生树干径流。青海云杉林枯枝落叶层对降雨的截留量随降雨量级增加而增大，截留率则随降雨量减小而增大，枯枝落叶层所具有的截留降雨和调蓄降雨作用使祁连山林区基本不发生地表径流。分析结果表明，祁连山林区对水源涵养和水流出山的时间调控有重要意义。     

CLM4.5冠层截留方案的敏感性试验与改进

为探究陆气系统对于冠层截留过程敏的感性,研究基于NCAR CAM-CLM陆气耦合模式探讨了截留参数对于全球陆地蒸发、降水、径流及气温的可能影响,揭示了冠层截留与植被光合作用之间的潜在联系。通过GLEAMv3.0a陆面蒸散发数据评估了CLM4.5冠层截留方案,并指出该方案高估了低茎叶面积指数植被的冠层蒸发,而低估了高茎叶面积指数植被的冠层蒸发。在CLM4.5中引入冠层截留偏差校正方案则可在一定程度上提高了全球林区冠层蒸发和陆面蒸散发的模拟能力。     

基于涡度相关的春玉米逐日作物系数及蒸散模拟

作物系数是计算作物蒸散量的关键参数。利用2006—2008年和2011年辽宁锦州玉米农田生态系统的涡度相关、气象、作物发育期及叶面积指数观测数据,分析不受水分胁迫条件下玉米逐日作物系数特征及其与叶面积指数的关系。研究表明:作物系数与玉米农田实际蒸散均呈单峰型变化,约在7月末至8月初达到最大值 (玉米开花吐丝期)。在此基础上,建立了不受水分胁迫条件下玉米逐日作物系数与叶面积指数关系 (达到0.01显著性水平), 同时,采用积温表示的标准化生育期方法模拟相对叶面积指数,并建立了逐日作物系数与相对叶面积指数关系 (达到0.01显著性水平),解决了无叶面积观测地区玉米逐日实际蒸散量的计算。研究结果可为玉米农田用水管理以及灌溉措施的制定提供参考。     

玉米冠层反射率及净辐射的估算

在1994~1996年3年田间试验的基础上,根据玉米生长状况及其冠层特征,选取包括植株高度、平均叶面积密度、农田覆被率等植物特征量组成的植物参数——综合植被系数来描述玉米冠层状况,并以此为因子来估算玉米冠层的反射率和净辐射,取得了良好的结果。     

肇州地区玉米气象产量与降水量关系分析

利用肇州地区1985～2005年玉米原始产量和生育期内降水量的资料,分析了玉米气象产量与降水量的关系。结果表明：玉米气象产量与7月份降水显著相关,相关系数为0．53,与其它月份降水量的相关程度未达到显著水平。同时对玉米气象产量与生育期间降水量进行非线性回归拟合．得出二次回归方程为y＝8413．94＋35．20x-0．03x^2,通过计算得出玉米气象产量最大值为980．56kg／hm^2．所对应的生育期降水量为533．66mm。     

冠层流结构研究——一阶闭合模式及其数值解

本文建立了一个包括群体混合长模式在内的描述冠层流结构的一阶闭合模式。冠层内空气运动方程的无量纲形式表明,冠层流的结构决定于冠层拖曳力系数BT=1.4和描述冠层几何结构的无量纲叶面积密度a_n和叶面积指数LAI。将常用的群体叶片角分布函数用于推导方程和估计模式的系数。文中利用文献[1]的玉米群体实验资料作了检验。通过推广计算讨论了无量纲数BT、LAI和a_n对解的影响,给出了拟合的风速指数衰减系数的列线图。     

半干旱榆中地区最小有效降水量及降水转化率的研究

有效降水对于土壤水分的补充和农作物的生长来说是一个很重要的概念。通常认为大于5 mm的降水即为有效降水。但是有效降水的影响因素很多,在不同的地理环境和气候背景条件下,最小有效降水量也会有所不同。利用2006年6月—2011年3月兰州大学半干旱气候与环境观测站资料,从土壤湿度变化的角度出发,根据有效降水的定义,对甘肃榆中地区的最小有效降水量做了初步研究。通过分析该地区不同季节、温度和植被条件下不同土壤深度最小有效降水量,发现5、10、20 cm土壤层的最小有效降水量分别为4、5、8 mm。季节分布上,各层土壤最小有效降水量均为夏季最高,春季和秋季值较为接近。高温年的最小有效降水量高于低温年的值,生长季高于非生长季。在降水超过最小有效降水量并且量级较小时,随着降水量的增大,土壤湿度增量呈指数形式增大,这时降水的转化率也较高;而当降水达到一定量级时,超过了土壤的入渗率,水分以径流的形式损失,土壤湿度增量的变化率减小,降水的转化率也趋于一定值。0—20 cm土壤层降水转化率达到70%。     

北方玉米冠层光合有效辐射垂直分布及影响因子分析

玉米冠层内光合有效辐射(PAR)的大小直接影响冠层内叶片的光合作用,进而影响玉米净第一性生产力或作物产量的准确评估。为弄清玉米冠层内光合有效辐射的分布规律及其影响因子,基于锦州玉米农田生态系统于2006年生育期的光合有效辐射观测数据和叶面积指数动态观测数据,对玉米冠层光合有效辐射的垂直分布特征及其影响因子进行了分析。结果表明:玉米冠层内不同垂直层次叶片的PAR分布随生育期变化显著,与叶面积指数呈显著的负相关(R2=0.89);玉米冠层光合有效辐射的消光系数K值在生育期呈动态变化,约为0.76,且表现为苗期较大、生育后期较小。分析表明,在进行光合有效辐射及与此密切相关的光合作用模拟时,应考虑消光系数的动态变化。     

Improving the vegetation dynamic simulation in a land surface model by using a statistical-dynamic canopy interception scheme

Canopy interception of incident precipitation, as a critical component of a forest＇s water budget, can affect the amount of water available to the soil, and ultimately vegetation distribution and function. In this paper, a statistical-dynamic approach based on leaf area index and statistical canopy interception is used to parameterize the canopy interception process. The statistical-dynamic canopy interception scheme is implemented into the Community Land Model with dynamic global vegetation model （CLM-DGVM） to improve its dynamic vegetation simulation. The simulation for continental China by the land surface model with the new canopy interception scheme shows that the new one reasonably represents the precipitation intercepted by the canopy. Moreover, the new scheme enhances the water availability in the root zone for vegetation growth, especially in the densely vegetated and semi-arid areas, and improves the model＇s performance of potential vegetation simulation.     

Estimating sensible heat flux from radiometric temperature over crop canopy

The model devised by Lhommeet al. (1988) allows one to calculate the sensible heat flux over a homogeneous crop canopy from radiometric surface temperature by adding a so-called canopy aerodynamic resistance to the classical aerodynamic resistance calculated above the canopy. This model is reformulated in order to simplify the mathematical procedure needed to calculate this additional resistance. Analytical expressions of micrometeorological profiles within the canopy are introduced. Assuming a constant leaf area density, an analytical expression of canopy aerodynamic resistance is inferred, which is a function of wind velocity, inclination angle of the radiometer and crop characteristics such as crop height, leaf area index, inclination index of the foliage and leaf width. Sensitivity of this resistance to the different parameters is investigated. The most significant are wind velocity and LAI. Finally, the predictions of the model are tested against two sets of measurements obtained for two different crops, potato and maize.     

Is Potential Evapotranspiration and Its Relationship with Actual Evapotranspiration Sensitive to Elevated Atmospheric CO2 Levels?

The possibility is examined that potential evapotranspiration values may be sensitive to changes in atmospheric carbon dioxide content. Enhanced levels of atmospheric CO2 increase water use efficiency of vegetation by improving growth rates and suppressing transpiration per unit leaf area. Highly cultivated crops without water or nutrient constraints are able to show the greatest growth improvements. In many natural or semi-natural ecosystems, under enhanced atmospheric CO2 concentrations, limits on the availability of soil nutrients severely constrains the possibility of improvements in growth and significant increases in leaf area index that could compensate for a decrease in transpiration per unit leaf area. Thus, in many natural or semi-natural ecosystems, which often form water gathering grounds in river basins, enhanced levels of CO2 will suppress transpiration and perhaps increase the proporation of precipitation that forms runoff or ground water. In low vegetation covers, such as grassland, the rates of transpiration and also evaporation from canopies that are wet after rainfall (interception loss) are very similar. In these canopies, evapotranspiration is unlikely to be significantly increased by small increases in leaf area index. It is suggested that the suppression of potential evapotranspiration by enhanced CO2 levels will be small, but that actual transpiration from tall, slow growing vegetation covers may be significantly suppressed. Thus for some vegetation covers the relationship between actual and potential evapotranspiration may be sensitive to CO2 levels. If this is so, it could be of importance to many water balance calculations. The suppression of evapotranspiration by enhanced CO2 levels will be most noticeable in dry climates where interception loss is insignificant and largely masked in very wet climates where a large proportion of evapotranspiration consists of interception loss.     

夏玉米不同生育期叶片和冠层含水量的遥感反演

高光谱遥感技术监测作物含水量是了解作物生长状况的重要技术。为实现夏玉米不同生育期叶片和冠层含水量的快速、精细化、无损监测,本文基于2014年和2015年的6—10月华北夏玉米不同生育期不同灌水量干旱模拟试验数据构建了植被水分指数（W_I,M_SI,G_VMI）、复比指数（W_NV和W_CG）和红边反射率曲线面积（D_area）的夏玉米冠层等效水厚度（E_WTC）和叶片可燃物含水量（F_MC）的反演模型。结果表明:6个指标反演夏玉米三叶期的E_WTC模型均未达到0.05显著性水平,三叶期后各指标反演E_WTC模型均达到0.01的显著性水平,且总体而言模型精度从高到低为抽雄期、拔节期、灌浆期、成熟期和七叶期。6个指标反演七叶期和拔节期的F_MC均达到0.01显著性水平。因此,同一光谱指标反演夏玉米不同生育期叶片和冠层含水量的精度差异较大。光谱指标反演夏玉米叶片和冠层含水量指标的精度与夏玉米生育期有很大关系,进而提出了夏玉米不同生育期含水量反演模型。研究结果可为准确模拟夏玉米不同生育期含水量提供技术支撑。     

南水北调华北受水区植被与降水的关系研究

华北地区年际归一化植被指数(NDⅥ)的变化与降水的年际变化有相当强的正相关,降水量增加会显著的改善植被覆盖.华北的NDⅥ变化显示了很强的季节变化特征,6月是华北农作物种植和生长的关键时期,但该月的需水量并不大,农作物生长旺季在7～8月.北京、邢台和潍坊的7月份农作物增长最快,月平均相对NDⅥ增长速度为0.4,8月的为0.2,因此,在7～8月农作物生长需水量最大,相当降水量接近180 mm,因此,在调配农业用水时应充分考虑这些因子.       

Sensitivity of a coupled climate model to canopy interception capacity

The canopy interception capacity is a small but key part of the surface hydrology, which affects the amount of water intercepted by vegetation and therefore the partitioning of evaporation and transpiration. However, little research with climate models has been done to understand the effects of a range of possible canopy interception capacity parameter values. This is in part due to the assumption that it does not significantly affect climate. Near global evapotranspiration products now make evaluation of canopy interception capacity parameterisations possible. We use a range of canopy water interception capacity values from the literature to investigate the effect on climate within the climate model HadCM3. We find that the global mean temperature is affected by up to ?0.64 K globally and ?1.9 K regionally. These temperature impacts are predominantly due to changes in the evaporative fraction and top of atmosphere albedo. In the tropics, the variations in evapotranspiration affect precipitation, significantly enhancing rainfall. Comparing the model output to measurements, we find that the default canopy interception capacity parameterisation overestimates canopy interception loss (i.e. canopy evaporation) and underestimates transpiration. Overall, decreasing canopy interception capacity improves the evapotranspiration partitioning in HadCM3, though the measurement literature more strongly supports an increase. The high sensitivity of climate to the parameterisation of canopy interception capacity is partially due to the high number of light rain-days in the climate model that means that interception is overestimated. This work highlights the hitherto underestimated importance of canopy interception capacity in climate model hydroclimatology and the need to acknowledge the role of precipitation representation limitations in determining parameterisations.     

Global and regional coupled climate sensitivity to the parameterization of rainfall interception

A coupled land?Catmosphere model is used to explore the impact of seven commonly used canopy rainfall interception schemes on the simulated climate. Multiple 30-year simulations are conducted for each of the seven methods and results are analyzed in terms of the mean climatology and the probability density functions (PDFs) of key variables based on daily data. Results show that the method used for canopy interception strongly affects how rainfall is partitioned between canopy evaporation and throughfall. However, the impact on total evaporation is much smaller, and the impact on rainfall and air temperature is negligible. Similarly, the PDFs of canopy evaporation and transpiration for six selected regions are strongly affected by the method used for canopy interception, but the impact on total evaporation, temperature and precipitation is negligible. Our results show that the parameterization of rainfall interception is important to the surface hydrometeorology, but the seven interception parameterizations examined here do not cause a statistically significant impact on the climate of the coupled model. We suggest that broad scale climatological differences between coupled climate models are not likely the result of how interception is parameterized. This conclusion is inconsistent with inferences derived from earlier uncoupled simulations, or simulations using very simplified climate models.