基于不同空间插值模型的川西南山地常绿阔叶林叶面积指数估测

叶面积指数（LAI） 是森林经营管理的一个重要参数,亦是众多基于土壤、大气和植被相互作用的森林经营管理动态模型的关键输入变量之一,但目前获得大尺度、高空间分辨率的LAI精确估计仍十分困难。以川西南山地常绿阔叶林为研究对象,基于地面调查的83 个20 m×20 m样地和SPOT5 遥感数据,运用不同的方法,估测了区域森林有效叶面积指数（LAIe）。利用遥感数据作为辅助变量,比较了来自遥感数据的直接辐射关系法（DRR） 和地统计学方法协同克里格（CK）、回归克里格（RK） 的LAIe 空间分布差异。此外,运用反距离权重（IDW）、全局多项式（GPI）、普通克里格（OK）、泛克里格（UK） 等方法也对LAIe进行了估计。结果表明LAIe 与归一化植被指数（NDVI） 回归拟合效果相对不理想（R²=0.679,P<0.001）;由于研究区森林景观不是连续变量,LAIe呈低空间自相关性,各方法间差异不显著,对区域LAIe 估算精度提升不明显;但DRR 和CK、RK 方法能降低统计误差值,且DRR与CK、RK的相关性极高（相关系数分别可达0.91和0.92）。尽管相比于DRR,地统计学方法并没有提高LAIe估计精度,为提高预测的准确性,应探讨更密集的抽样方案和不同的辅助变量。     

浑善达克沙地榆树疏林生态系统的空间异质性

榆树疏林生态系统是浑善达克沙地的重要组分之一运用生物统计学(U检验和相关性分析等)和地统计学的方法(半方差分析和空间局部插值),研究了浑善达克沙地榆树疏林生态系统的土壤有机质(SOM)、土壤全氮(STN)、土壤pH(SpH)、土壤含水量(SWC)和草本层盖度(HC)的空间异质性,并探讨了它们之间以及与榆树空间位置的关系.研究结果表明:SOM、STN、SpH、SWC和HC的分布格局均具有明显的空间异质性和空间自相关性,它们的空间格局与榆树的空间分布有明显的相关性.在此基础上,应用空间局部插值法,绘制了各个性状的空间等值分布图.通过等值分布图直观的分析了榆树与各研究性状的空间格局的关系,探讨榆树对疏林生态系统土壤性状和草本层植物分布的空间异质性的影响,以及榆树下成为草原上的沃岛(fertility island)的原因.     

Sediment distribution pattern mapped from the combination of objective analysis and geostatistics in the large shallow Taihu Lake, China

Investigation was made into sediment depth at 723 irregularly scattered measurement points which cover all the regions in Talhu Lake, China. The combination of successive correction scheme and geostatistical method was used to get all the values of recent sediment thickness at the 69 x 69 grids in the whole lake. The results showed that there is the significant difference in sediment depth between the eastern area and the western region, and most of the sediments are located in the western shore-line and northern regimes but just a little in the center and eastem parts. The notable exception is the patch between the center and Xishan Island where the maximum sediment depth is more than 4.0 m. This sediment distribution pattem is more than likely related to the current circulation pattern induced by the prevailing wind-forcing in Taihu Lake. The numerical simulation of hydrodynamics can strong support the conclusion.Sediment effects on water quality was also studied and the results showed that the concentrations of TP, TN and SS in the western part are obviously larger than those in the eastem regime, which suggested that more nutrients can be released from thicker sediment areas.     

非平稳型区域土壤汞含量的各种估值方法比较

准确地描述土壤重金属含量的空间分布对于防治土壤重金属污染是十分重要的.以分布类型为对数正态分布,同时具有一阶和二阶趋势效应的土壤重金属Hg为例,分别应用普通克立格法(OK),简单克立格法(SK),对数正态克立格法(LNK),泛克立格法(UK),析取克立格法(DK)和距离反比权重法(IDW)等6种内插方法对其进行了估值,综合比较了各种内插方法的预测误差、统计特征值及插值结果分布图.结果表明一阶趋势的OK方法比0阶和二阶趋势的OK方法插值结果要好.一阶趋势的OK方法中半方差函数模型选用高斯型的比选用球状和指数型的插值效果相对要好.由于"压缩"作用,原始数据经过对数转换后的插值效果要比没有经过转换的插值方法要差.带趋势项的插值方法要比不带趋势项的插值方法要好,其中一阶趋势的UK方法插值效果最好,而IDW方法最差.     

GIS‐Based Spatial Precipitation Estimation: A Comparison of Geostatistical Approaches1

Abstract: As one of the primary inputs that drive watershed dynamics, the estimation of spatial variability of precipitation has been shown to be crucial for accurate distributed hydrologic modeling. In this study, a Geographic Information System program, which incorporates Nearest Neighborhood (NN), Inverse Distance Weighted (IDW), Simple Kriging (SK), Ordinary Kriging (OK), Simple Kriging with Local Means (SKlm), and Kriging with External Drift (KED), was developed to facilitate automatic spatial precipitation estimation. Elevation and spatial coordinate information were used as auxiliary variables in SKlm and KED methods. The above spatial interpolation methods were applied in the Luohe watershed with an area of 5,239 km², which is located downstream of the Yellow River basin, for estimating 10 years’ (1991‐2000) daily spatial precipitation using 41 rain gauges. The results obtained in this study show that the spatial precipitation maps estimated by different interpolation methods have similar areal mean precipitation depth, but significantly different values of maximum precipitation, minimum precipitation, and coefficient of variation. The accuracy of the spatial precipitation estimated by different interpolation methods was evaluated using a correlation coefficient, Nash‐Sutcliffe efficiency, and relative mean absolute error. Compared with NN and IDW methods that are widely used in distributed hydrologic modeling systems, the geostatistical methods incorporated in this GIS program can provide more accurate spatial precipitation estimation. Overall, the SKlm_EL_X and KED_EL_X, which incorporate both elevation and spatial coordinate as auxiliary into SKlm and KED, respectively, obtained higher correlation coefficient and Nash‐Sutcliffe efficiency, and lower relative mean absolute error than other methods tested. The GIS program developed in this study can serve as an effective and efficient tool to implement advanced geostatistics methods that incorporate auxiliary information to improve spatial precipitation estimation for hydrologic models.     

Remote sensing: Using the spatial domain

Objects in the terrestrial environment interact differentially with electromagnetic radiation according to their essential physical, chemical and biological properties. This differential interaction is manifest as variability in scattered radiation according to wavelength, location, time, geometries of illumination and observation and polarization. If the population of scattered radiation could be measured, then estimation of these essential properties would be straightforward. The only problem would be linking such estimates to environmental variables of interest. This review paper is divided into three parts. Part 1 is an overview of the attempts that have been made to sample the five domains of scattered radiation (spectral, spatial, temporal, geometrical, polarization) and then to use the results of this sampling to estimate environmental variables of interest. Part one highlights three issues: first, that relationships between remotely sensed data and environmental variables of interest are indirect; second, our ability to estimate these environmental variables is dependent upon our ability to capture a sound representation of variability in scattered radiation and third, a considerable portion of the useful information in remotely sensed images resides in the spatial domain (within the relations between the pixels in the image). This final point is developed in Part 2 that explores ways in which the spatial domain is utilized to describe spatial variation in remotely sensed and ground data; to design optimum sampling schemes for image data and ground data and to increase the accuracy with which remotely sensed data can be used to estimate both discontinuous and continuous variables. Part 3 outlines two specific uses of information in the spatial domain; first, to select an optimum spatial resolution and second, to inform an image classification.     

上海城郊土壤重金属含量的空间变异与分布特征

为揭示城市化、工业化等人为活动对土壤环境质量的影响,选择上海城郊结合部为研究区域,采用地统计学方法对表层土壤样品Cu、Zn、Pb、Cr、Mn 5种重金属的空间变异结构和分布特征进行了分析。结果表明：土壤Cu、Cr、Mn、Pb、Zn均属中等变异,土壤Mn含量服从正态分布,土壤Cr、Cu、Pb、Zn含量服从对数正态分布;半方差函数模型拟合结果显示土壤Mn符合指数模型,土壤Cr、Cu、Pb、Zn符合线性模型、其中土壤Cu、Pb、Zn为纯块金效应模型,反映了城郊结合部土壤污染空间变异的复杂性。通过泛克里格插值可直观反应表层土壤重金属含量空间分布特征,发现土壤Cr、Mn呈岛状,土壤Cu、Pb、Zn呈多岛状分布的特点,工业和交通污染源是影响土壤重金属空间分布的重要因素     

典型矿业城市农田土壤重金属含量的空间结构特征——以辽宁省阜新市为例

运用地统计学方法对阜新市矿业密集区周围农田土壤重金属含量的空间结构特征进行了定量描述,并探讨了研究区域内重金属空间结构的主要影响因素.结果表明:研究区域农田土壤中As、Cd、Cu、Ni、Pb、Zn等6种重金属元素的实验变异函数理论模型拟合效果较好,决定系数均达到0.01显著性水平;各重金属变程较大,除As以外均出现明显的漂移;变异函数的块金效应明显,空间相关性属中等,显示小尺度上受人为干扰的影响较大;除Ni的空间结构表现为各向同性以外,其余5种重金属均表现出明显的方向性特点;除土壤母质因素外,研究区域内以矿业和城市活动为主的人为干扰是影响农田重金属空间结构的重要原因.     

水环境模拟中变异函数的稳健性分析

文章将稳健统计学（RS）引入地质统计学（GS）,对廊坊市地下水现场采样数据中Cl^-运用影响系数法和估计邻域法识别并处理特异值,取得了较好的稳健效果。在此基础上,用Cressie-Hawkins法、中位调节法两种稳健统计学方法系统的对进行特异值处理前后的数据作了处理和分析。结果表明,变量Cl^-离子经ICM法处理特异值后再进行稳健计算方法中以MA法有较大的优势,而且获得稳健变异函数γR（h）及其估计量对于改善变异函数的结构性和理论模型的主要参数有明显效果。因此,稳健地质统计学的方法可以移植到水环境科学中应用,这对加强水环境空间变异性以及稳健变异函数的基础研究有着重要的应用价值和学术价值。