吉木乃县近50年积温变化特征及其对小麦产量的影响分析

利用吉木乃县1961-2010年的积温和小麦产量资料,对日平均气温稳定通过0℃、10℃的初日、终日、初终间日数、积温的变化特征进行了分析;运用相关分析法探讨了生长期积温对小麦产量的影响。结果表明：近50年吉木乃县的积温变化是明显的,积温显著增多,≥0℃积温变率为83.7℃/10a,≥10℃积温变率为57.5℃/10a;稳定通过0℃和10℃界限温度初日提前、终日推后,初终间日数均呈增加的趋势。春夏季积温与春小麦产量的相关关系显著,当0℃积温距平每增加1℃时,小麦产量将增加0.15%;当10℃积温距平每增加1℃时,产量将增加0.12% 。积温变化使小麦冻害减轻,但干旱、干热风危害加大。     

江西省双季早稻长势定量等级指标的研究

利用2010—2011年江西省有代表性的12个县(市)共34个观测点的双季早稻农业气象观测资料,采用频数分析方法,研究建立了江西省双季早稻长势观测定量指标。结果表明,在各主要生育期,不同苗情的早稻,其叶面积指数与单株干物质重量差异明显,可用于早稻长势的定量评价。产量分析表明,研究建立的双季早稻长势定量等级指标可用于实际。     

早稻产量综合动态预报方法研究

利用湖南省早稻产量与发育期、日最高气温、日最低气温、日降水量和日日照时数等资料及早稻生理气象指标,在丰歉气象影响指数动态预报方法的基础上,引进早稻生育期内对产量有较大影响的关键气象因子,建立了早稻产量综合动态预报方法.结果表明,该方法在早稻产量增减趋势预报和定量预报上,正(准)确率都有所提高.     

Rainfall yield characteristics of electrical storm observed in the Spanish Basque Country area during the period 1992–1996

This paper is focused on the study of rainfall yield characteristics of electrical storms observed over the Northern Iberian Peninsula during 1992–1996. To this aim Principal Components Analysis (PCA) and Self-Organizing Maps (SOM) method have been used. The SOM method is a group of artificial neural networks based on the topological properties of the human brain. Results clearly suggest that there exist three different meteorological patterns that are linked to the characteristics of electrical events found in the study area. In winter, most of the electrical events are formed under oceanic advection (NW air fluxes). On these cases, mean rainfall yield estimates reach values of 700 10⁴ m³ per cloud to ground lightning flash (CG flash). During summer most frequent electrical storms are associated to local instability shooting by surface heating with advection of humidity coming from the Iberian Peninsula. Under these meteorological situations, rain is scarcer if compared with oceanic events but lightning CG counts reach the maximum values found in the area (about 10 CG counts per 20 × 20 km² and day) giving this way the smallest rainfall yield with a mean value of 15 10⁴ m³ per CG flash. Iberian air fluxes associated with cold air in upper parts of the atmosphere represent the third meteorological pattern found. This pattern is most common in spring and autumn but is not unusual in the rest of the seasons. In those cases mean rainfall yield in the area is about 150 10⁴ m³ per CG flash. In all electrical episodes K instability index is greater than 15 °C but in the most lightning producing events, this index reaches in the area values greater than 24 °C. PCA results pointed out that there exists a relationship between rain and CG counts expressed by the first principal component computed from standardized data. However, we must notice that no event is solely linked to this axis, since a seasonal influence which decreases lightning production when rain increases is always present. Results found are of great interest for short term forecasting of flashfloods in mountainous areas like the Spanish Basque Country region.     

水稻覆膜节水种植对NO排放的影响

为保障粮食安全和节约水资源,水稻覆膜节水技术正越来越多地被农业生产部门运用到水稻生产中。但是,与传统种植模式(采用淹水与烤田相结合的间歇灌溉)相比,水稻覆膜节水种植模式通过改变土壤条件,引起稻田生物地球化学过程变化,进而使得大气环境污染性气体一氧化氮(NO)的排放发生变化。为了定量研究两种种植模式的NO排放差异及其关键控制因子,采用静态暗箱—化学发光法,对不同种植模式下两种施肥条件(常规施肥与无氮肥对照)的水稻—休耕系统NO排放通量及其环境因子进行了原位周年观测。结果表明,水稻生长季NO排放主要发生在中期烤田阶段,覆膜节水种植模式的NO通量多高于常规淹水种植模式,水稻生长季NO排放系数分别为0.12%和0.016%,主要原因是覆膜节水种植模式提高了土壤温度和氧化还原电位。在休耕季,两种种植模式的NO排放都与土壤湿度呈显著负相关。覆膜节水种植模式全年NO排放有大于传统种植模式的趋势,其排放系数分别为0.15%和0.032%,但需时间更长地点更多的试验研究加以证实。     

剪切型多自由度体系瞬时输入能量的分布

通过对剪切型多自由度体系的地震能量反应分析,提出了描述多自由度体系整体脉冲能量反应的参数,瞬时输入能量等效平均速度,并在此基础上建立了瞬时输入能量分布系数的概念,提出了估计瞬时输入能量分布的方法。     

Vegetation图像植被指数与实测水稻叶面积指数的关系

水稻的叶面积指数 (LAI)是水稻生长的一项重要参数 ,与水稻的生物量与产量直接相关。利用 1999年在江苏省江宁县实测的水稻叶面积指数与同期Vegetation/SPOT的植被指数作了对比分析 ,结果发现同期的LAI与植被指数表现相近的变化特征 ,两者具有良好的相关关系。     

Modelling of sediment supply from torrent catchments in the Western Alps using the sediment contributing area (SCA) approach

The production of coarse sediment in mountain landscapes depends mainly on the type and activity of geomorphic processes and topographic and natural conditions (e.g. vegetation cover) of these catchments. The supply of sediment from these slopes to mountain streams and its subsequent transport lead to sediment connectivity, which describes the integrated coupled state of these systems. Studies from the Northern Calcareous Alps show that the size of the sediment contributing area (SCA), a subset of the drainage area that effectively delivers sediment to the channel network, can be used as a predictor of sediment delivery to mountain streams. The SCA concept is delineated on a digital elevation model (DEM) using a set of rules related to the steepness and length of slopes directly adjacent to the channel network, the gradient of the latter and the vegetation cover. The present study investigates the applicability of this concept to the Western Alps to identify geomorphologically active areas and to estimate mean annual sediment yield (SY) in mainly debris-flow-prone catchments. We use a statistical approach that shows a parameter optimisation and a linear regression of SY on SCA extent. We use a dataset of ~25 years of assessed coarse sediment accumulation in 35 sediment retention basins. In the investigated catchments, sediment transport is governed by several factors, mainly by the extent of vegetation-free areas with a minimum slope of 23° that is coupled to the channel network with a very low gradient of the latter. With our improved framework, we can show that the SCA approach can be applied to catchments that are widely distributed, in a large spatial scale (hectare area) and very heterogeneous in their properties. In general, the investigated catchments show high connectivity, resulting in significant correlations between long-term average yield and the size of the SCA.     

Spatially distributed modelling of soil erosion and sediment yield at regional scales in Spain

Initiated by the need to quantify erosion rates and the impacts of global changes on erosion, several attempts have been made to apply erosion models at regional scales. However, these models have often been directed towards on-site soil erosion estimates, emphasising sheet and rill erosion processes, and disregarding gully erosion, channel erosion and sediment transport. These models are therefore of limited use for the assessment of sediment yield, off-site impacts of erosion, and for the development of environmental management to control these impacts at regional scale. This study analyses and compares three spatially distributed models for the prediction of soil erosion and/or sediment yield at regional scales: the WATEM-SEDEM model that is based on the empirical Revised Universal Soil Loss Equation (RUSLE) in combination with a sediment transport equation, the physics-based Pan European Soil Erosion Risk Assessment model (PESERA), and a newly developed Spatially Distributed Scoring model (SPADS). The three models were applied to 61 Spanish drainage basins and model predictions were evaluated against data on measured reservoir sedimentation rates. Global data sets on land use, climate, elevation and soil characteristics were used as model input for WATEM-SEDEM and SPADS, whereas published soil erosion estimates of PESERA at 1 km² resolution were used directly. SPADS and WATEM-SEDEM provided best results after separate calibration for basins with a Sediment Delivery Ratio (SDR) higher than 5% and those with an SDR lower than 5%. In this way, SPADS explained 67% of variation in sediment yield, while WATEM-SEDEM explained 48% of the variation. PESERA represents a promising alternative to the use of empirical models at the regional scale as it can be applied to very diverse environments with little calibration. However, PESERA provides soil erosion rates and not sediment yield estimates. For most basins PESERA soil erosion rates vary between fifty and close to zero percent of total sediment yield. Two major factors may explain this discrepancy between modelled soil erosion rates and measured sediment yield. First, it may be that PESERA underestimates soil erosion under Mediterranean conditions, although PESERA soil erosion rates are of the same order of magnitude as erosion rates measured in erosion plot studies. Second, gully-, river channel erosion and sediment transport processes may be much more important than sheet- and rill erosion for regional scale sediment yield in these environments. These issues therefore require further attention in future model development. Although spatially lumped models provide better predictions of sediment yield at the basin scale, and while validation of the predicted spatial patterns of sources and sinks of sediment requires further research, spatially distributed models are expected to be of value to support management decisions regarding the assessment of on-site and off-site impacts of erosion at the regional scale.     

含水量对高含冰量冻结砂土屈服面的影响

以往关于冻土屈服特性的研究很少考虑含水量的影响,但实际工程中经常遇到的是变含水量情况,因此本文通过-5.0℃条件下高含冰量冻结砂土的一系列三轴压缩试验,系统地研究了含水量对屈服特性的影响,并且由此建立了带有含水量参数的偏应力-剪应变增量型关系式。试验结果表明：随含水量的变化,应力-应变曲线类型有明显变化,即在不同的含水量区间,含水量对硬化规律有不同的影响特性,因此为了使屈服函数的形式更加简单和提高拟合准确度,对于屈服函数的具体形式应该根据塑性剪应变（硬化参数）和含水量不同区间进行分别确定;当塑性剪应变较小时（0.00%~1.00%）,随含水量的增大,偏应力逐渐增加,而当塑性剪应变较大时（大于1.00%）,随含水量的增大,偏应力有一个先减小后增大的变化过程,并且42.0%可以作为含水量转折点;通过分段硬化原则建立的带有含水量参数的屈服函数与偏应力-剪应变的增量型关系式的模拟值与试验点基本相吻合,这说明得到的屈服函数与偏应力-剪应变的增量型关系式可以用于不同含水量条件下屈服面和偏应力-剪应变曲线的预测。