Apparent quantum yield of photosynthesis of winter wheat and its response to temperature and intercellular CO2 concentration under low atmospheric pressure on Tibetan Plateau

The Tibetan Plateau is characterized by lower atmospheric pressure, lower air temperature and high daily and seasonal variation due to high elevation. The photosynthesis of plants is significantly influenced by these alpine environmental factors. Apparent quantum yield (αA) is one of the basic parameters of photosynthesis and mass production. Its accuracy determination is of significance to model photosynthesis of C3 plants and global change on the plateau. In the Lhasa Plateau Ecological Station with 65.4 kPa of atmospheric pressure at an elevation of 3688 m, Li-Cor 6400 portable photosynthesis system was used to measure light response curves of winter wheat in different temperatures and intercellular CO2 concentration (Ci).The slope of light response curve in weak light area of PFD from 0 to 150 μmol m-2 S-1 was used to evaluate the value of αA. The dependence of αA on temperature and intercellular concentration was analyzed. In 30℃, the average value of αAWaS 0.0476 ± 0.0038. It is not quite different from the values in low elevation areas. αA is influenced both by temperature and by the ratio of CO2and O2 partial pressure ([CO2]/[O2]). The measured values in the previous study were much lower.This might be due to systematic errors from instrument and data processing methods. The values of αA decreased linearly with temperature. It decreased 0.0007 in every 1℃ increase of temperature. The decrease slope is similar to those of C3 plants in the previous researches. While [O2] is constant, αA increases with Ciwith a hyperbolic relationship. In comparison with low elevation areas, the αA on the Tibetan Plateau is more sensitive to increase of CO2.     

Blanket peat erosion and sediment yield in an upland reservoir catchment in the southern Pennines,UK

This paper investigates temporal variations in fluxes of peat and other sediment in the catchment of March Haigh Reservoir, West Yorkshire. Long‐term estimates of sediment yield were derived from a study of reservoir sediments. Magnetic properties were used to correlate ten cores to a master profile dated using ²¹⁰Pb and ¹³⁷Cs. A ¹⁴C date suggests that most of the organic component of the sediment is allochthonous and derived from peat eroded from the catchment. Organic sediment yields suggest low catchment erosion rates between 1838 and 1963. Blanket peat erosion increased significantly after 1963, and peaked between 1976 and 1984. Estimates of total sediment yield range between 2 and 28 t km^?2 a^?1. These yields are significantly lower than those from some previous studies examining reservoir sedimentation in other blanket peat‐covered catchments. The low yield estimates may be due to relatively low rates of erosion in the basin, but may also be partly explained by maintenance of silt traps during the early life of the reservoir and removal of sediment by scouring. Sedimentation within the reservoir is spatially variable, and bathymetry and sediment source appear to be the dominant controls on sedimentation patterns within the reservoir. Copyright © 2005 John Wiley & Sons, Ltd.     

偏平面上屈服曲线的实验拟合

在土体本构理论中，多重屈服面的引入为合理描述土体剪应变与体应变提供了可能，尽管如此，现有多重本构关系仍不能很好的反映π平面上剪应力增量矢量dq对应应变增量矢量dγ^p的影响。现以广义塑性力学为理论基础，对重庆粘土的真三轴试验资料进行了分析，拟合出了偏转角α与剪应力q的关系式，同时提出了一个新的γq^p，γθ^p屈服面表达式，经过已有试验数据的验证，证明了其合理性。     

靖边油区洛河组与安定组富水性研究

在靖边油区油井施工中,白垩系下统洛河组砂岩底部泥浆漏失概率42%～66%,而砂岩其它部位未出现漏水现象。侏罗系中统安定组与上覆洛河组呈角度不整合接触,古风化壳的存在使安定组顶部灰岩裂隙十分发育,最大漏失量达0.88m3/mm。故洛河组砂岩底部与安定组泥灰岩是靖边油区开发地下水的较佳部位。     

Material component to non-linear relation between sediment yield and drainage network development:an flume experimental study

1 IntroductionThe drainage network is one of the important components in a fluvial system, as Schumm[1] pointed out that three zones compose a typical fluvial system. As early as in the mid 20th century, Horton[2] made a significant quantitative explanation to hydro-geomorphology in a drainage network system. Since the 1960s, Leopold and Langbein have studied the network structure with random walk and entropy, and Shreve, Smart and Scheideger have topologically studied network structure[3-1…     

天然草地牧草产量遥感综合监测预测模型研究

利用天然草地牧草光谱观测资料、牧草产量资料、气象资料和NOAA／AVHRR资料，建立了天然草地牧草产量光谱植被指数和卫星遥感监测模型、气监测模型，提供及时准确地掌握牧草产量变化的科学手段。建立了天然草地牧草产量遥感预测模型及气象预测模型，可以根据需要提供不同时效的卫星遥感预测结果和气象模型预测结果。气象模型精度较高，但气象站点有限，往往以点代面；遥感技术宏观性强，空间信息丰富，可以弥补气象模型的不足；两者既可以互相验证，又可以取长补短。1995年以后服务表明，这些模型达到牧业气象业务服务的要求。     

冬小麦水肥生产函数的Jensen模型和人工神经网络模型及其应用

作物水肥生产函数研究是非充分灌溉理论的重要内容,也是提高农田水、肥利用效率的基础.在作物水分生产函数Jensen模型的基础上,引入肥料因子构造了水肥生产函数的Jensen模型;同时构造了作物水肥生产函数的人工神经网络模型.利用北京地区冬小麦田间试验资料对以上2个模型进行了分析,表明以上模型均可用于描述水分、肥料等因素对作物产量的影响,进而可对作物产量进行预测,且模型都具备一定的精度.     

降雨的空间不均性对模拟产流量和产沙量不确定的影响

在传统的水文/水质模型中,降雨被认为是在空间上均匀分布并且对模型输出的不确定性不产生影响。本文的目的是评价由于降雨的空间分布不均匀性对模型输出-产流量和产沙量-不确定性的影响。本文选取卢氏流域为研究区域,使用SWAT模型和流域内24个雨量站的降雨作为模型的输入。基于降雨空间分布均匀的假定下,每次用一个雨量站的点雨量来作为流域的面平均降雨量,模拟的产流量和产沙量的不确定性来自于降水的不均匀性。模拟的产流量和产沙量的不确定性大于降雨的不确定性,结果表明,在运用水文/水质模型时,为了准确的模拟、预测产流量和产沙量必须掌握降雨的空间分布特性并将其应用于水文、水质模拟之中。     

土地覆被对黄河中游流域泥沙产生的影响

本在黄河中游地区选择了近60个水测站流域，流域面积从500～2500km^2，分别代表6种不同自然地理类型。运用遥感方法和专题地图，结合野外实地调查，在流域泥沙及植被、地面物质等数据采集的基础上，利用数理统计方法，建立了流域产沙量与植被、地面物质之间的定量关系。结果表明，植被和地面物质对流域产沙量有着十分重要的影响。流域产沙量与植被之间呈现相当好的非线性负相关关系，而与地面物质呈明显的线性正相关关系。流域产沙量随植被变化存在着二个临界值，一是当流域植被覆盖度等于30％时，另一是当植被覆盖度等于70％时。这一现象以往只是在试验小区或试验流域见到，而本的研究表明，类似的现象在天然河流流域也存在。多元回归表明，在影响流域产沙量诸因素中，植被的影响是最重要的，其次是地面物质。     

瓜尔豆产量形成的农业气象指标研究

通过2000年和2001年的试验研究，证明我区气候是适宜瓜尔豆生长的，并进一步研究出瓜尔豆正常生长所需的气象指标。