叶面积指数(LAI)的遥感定量方法综述

总结了当前遥感定量研究叶面积指数(LAI)的两种主要方法:统计模型法和光学模型法,阐述了各自的机理和研究进展,在此基础上,讨论了两种方法的优缺点及未来的发展趋势。     

河北省粮食生产发展趋势及其地区差异

河北省2002年粮食作物播种面积为6484.4千hm2,其中小麦占37.8%,玉米39.7%;粮食、棉花、油料的种植比例为15.9:1.0:1.6。北部四地市粮食播面占全省的23.3%,南部七地市76.7%。2002年粮食总产2435.8万t,为1949年的5.2倍;粮食单产3756kg/hm2,为1949年的5.8倍;人均粮食362kg,为1949年的2.4倍。北部地区粮食总产占全省的17.2%,南部地区82.8%。据回归分析与双向差分建模分析,2010年粮食总产可达3087.5万t,粮食单产4478kg/hm2,人均粮食460kg。据灰关联分析,影响粮食总产的主要因子有:粮食单产、农副产品收购价格总指数(1978年=100)、农业机械总动力、农村用电量、农田化肥施用量与有效灌溉面积等。根据笔者预测,若2010年农业机械总动力达8989万kw,农村用电量240.8亿kwh,农田化肥施用量356.1万t,有效灌面4549.2千hm2,则其粮食单产可达4664kg/hm2;若2010年仍保持2000年小麦播面所占比例(0.387),玉米播面所占比例达0.439,则其单产可达4387kg/hm2。     

河南降水及最长连续无降水日数时空特征

利用河南省均匀分布的50个台站自建站至1997年近50年的定时降水资料，分析了河南省日小雨、日中雨、日大雨降水过程出现次数和最长连续无降水日数，结果显示，河南省日小雨、日中雨降水过程一年四季均可出现，日大而过程主要出现在3～11月份，冬季仅在豫南一些台站出现，各级降水过程出现次数季节性变化明显，冬季出现最少，夏季出现最多，其地理分布随测站纬度、拔海高度、地形地貌不同有较大差异；最长连续无降水日数也有明显的季节性变化特点，其最大值多出现在冬季，春秋次之，夏季最小，地理位置差异也较明显。     

地震动输入能量衰减规律的研究

对所收集到的266条强震记录，将其按场地条件分类，计算了不同场地条件、不同延性系数下的“绝对”和“相对”输入能量反应谱，然后利用两步回归法，得出了不同场地条件下地震动“绝对”和“相对”两种输入能量的衰减规律，分析了场地条件、延性系数、震级及距离等参数对地震动能量谱的影响，并对两种输入能量衰减规律进行了比较。     

地表非均匀性对区域平均水分通量参数化的影响

次网格尺度地表非均匀性对于网格区平均通量具有重要影响。若将网格区视为均一地表 ,并不能真实描述地 气通量交换过程 ,且可造成很大误差。文中从理论上证明 ,区域平均水分通量的变化率可分解为两部分 :第一部分为区域水分通量的算术平均变化率 ;第二部分为非均匀性所引起的水分通量变化率扰动 ,它与区域内土壤水分空间分布的变差系数有关。数值试验表明 ,地表土壤水分的水平空间变差系数集中反映了区域内土壤水分分布的非均匀程度 ,不同土壤对同样的非均匀程度其敏感性是不同的。变差系数愈大 ,非均匀性愈强 ,在相同的土壤水分平均值下 ,不同土壤类型对地表非均匀程度的敏感性并不相同。例如沙土和粘土受非均匀性的影响就可相差数十倍。     

DOES WIND STRESS DEPEND ON SEA-STATE OR NOT? – A STATISTICAL ERROR ANALYSIS OF HEXMAX DATA

There have been several claims, either explicit or by implication, either based on experimental evidence or on theoretical reasoning, that the wind stress is modified by the stage of development of the wind sea. However, the overall evidence is weak, because theories are still incomplete and because it is questionable whether the sea-state effect, which is of the order of 10%, can be separated from experimental noise, which is of the order of 20%. In this paper a rigorous statistical analysis of HEXMAX data is pursued in order to establish the significance of sea-state effects. It appears that the enhanced drag, especially at high winds, which has already been established by previous analyses, cannot be attributed to the effect of young waves. The analysis provides no clues for the actual mechanism, which could be related to breaking or shoaling waves. As the effect of sea-state on wind stress is much smaller than the experimental noise level, it is hard to detect. Nevertheless, HEXMAX seems to contain a wave effect that is at the edge of statistical significance. It is, however, not the wave age itself that influences the drag, but a parameter involving wave height.Because the HEXMAX evidence is only indicative, we conclude that the issue set out in this paper cannot be answered on the basis of the HEXMAX data alone. It is recommended that error analyses are also carried out for other relevant observational data sets and that new measurements with suppressed noise will be taken up.     

影响上海市地价空间分布的区位因子分析

本文采用ＧＩＳ技术和多元线性回归分析方法，以土地批租地块为样本，分析上海市地价与城市区位因子的线性关系。回归分析结果表明；南京路，市中心和淮海路是影响上海市寺价空间差异的主要区位因子，外滩，次级商业中心和交通结节点对地价的影响很小，表明上海市地价的空间分布具有很高的向心性。     

A physical statistical approach to erosion

Erosion is a complex process consisting of many components such as surface runoff, impact of raindrops, wind forces, soil and rock mechanics, etc. Trying to integrate all these processes into a physical model seems to be hopeless. In order to understand the variety of natural shapes and patterns produced by erosion we present an integrated statistical approach. Our model is based on simple physical constraints for the separation of amalgamated particles (abrasion) and for the movement of loose particles (denudation) and on the laws of statistics. After some simplifications, we obtain a nonlinear system of partial differential equations which is solved using finite volume techniques. The model is suitable for the formation of different types of rill systems and the episodic behaviour of erosion processes, a kind of self-organized criticality. Besides effects of inhomogeneities, e.g. the formation of terraces can be investigated.     

Extreme value theory based on the r largest annual events: a robust approach

In Smith (1986, J. Hydrol. 86, 27–43), a family of statistical distributions and estimators for extreme values based on a fixed number r > = 1 of the largest annual events are presented. The method of estimation was numerical maximum likelihood. In this paper, we consider the robust estimation of parameters in such families of distributions. The estimation technique, which is based on optimal B-robust estimates, will assign weights to each observation and give estimates of the parameters based on the data which are well modeled by the distribution. Thus, observations which are not consistent with the proposed distribution can be identified and the validity of the model can be assessed. The method is illustrated on Venice sea level data.