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1.
用地震资料预测孔隙度的广义协克里格法 总被引：2，自引：0，他引：2
在Doyen工作的基础上,本文对简单协克里格法作了一些改进,提出了用地震资料预测孔隙度的广义协克里格法,详细推导证明了其基本公式.并分别用3种方法预测了松辽盆地宋站地区扶余油层含气砂岩储层的孔隙度分布.井孔处的交互检验证明,广义协克里格法比线性回归法和简单协克里格法预测孔隙度的均方根误差分别小40％和30％以上. 相似文献
2.
ABSTRACT The reliable and robust monitoring of air temperature distribution is essential for urban thermal environmental analysis. In this study, a stacking ensemble model consisting of multi-linear regression (MLR), support vector regression (SVR), and random forest (RF) optimized by the SVR is proposed to interpolate the daily maximum air temperature (Tmax) during summertime in a mega urban area. A total of 10 geographic variables, including the clear-sky averaged land surface temperature and the normalized difference vegetation index, were used as input variables. The stacking model was compared to Cokriging, three individual data-driven methods, and a simple average ensemble model, all through leave-one-station-out cross validation. The stacking model showed the best performance by improving the generalizability of the individual models and mitigating the sensitivity to the extreme daily Tmax. This study demonstrates that the stacking ensemble method can improve the accuracy of spatial interpolation of environmental variables in various research fields. 相似文献
3.
《地学前缘(英文版)》2022,13(3):101365
The study evaluated the sources and controlling factors of the groundwater contaminants in an agroeconomic region of Lower Ganga Basin using principal component analysis (PCA), multivariable linear regressions (MLR), correlation analysis, and hierarchical cluster analysis, and evaluated the public health risks using the Latin Hypercube Sampling, goodness-of-fit statistics, Monte Carlo simulation and Sobol sensitivity analysis based on the 1000 samples collected in two sampling cycles (N = 1000). The study reveals that the dissolution of fluoride-bearing minerals and semi-arid climate regulate the fluoride concentrations (0.10–18.25 mg/L) in groundwater. Extensive application of inorganic nitrogenous fertilizers and livestock manure mainly contributed to elevated nitrate levels (up to 435.0 mg/L) in groundwater. The health risks analysis indicates that fluoride exposure is more prevalent in the residents of each age group than the nitrate and both contaminants exhibited higher non-carcinogenic health risks on the infant and child (minor) age groups compared to adolescents and adults. Based on the cokriging interpolation mapping, the minor residents of 17.88%–23.15% of the total area (4545.0 km2) are vulnerable to methemoglobinemia whereas the residents of all age-groups in 38.47%–44.45% of the total area are susceptible to mild to severe dental/skeletal fluorosis owing to consumption of untreated nitrate and fluoride enriched groundwater. The Sobol sensitivity indices revealed contaminant levels, groundwater intake rate and their collective effects are the most influential factors to pose potential health risks on the residents. Artificial recharge and rainwater harvesting practices should be adopted to improve the groundwater quality and the residents are advised to drink purified groundwater. 相似文献
4.
为探索考虑地形的空间插值算法在复杂下垫面地区的适用性,利用重庆市区域自动气象站2017年逐月观测数据,采用Cokriging、PRISM和IDW三种算法进行了1 km分辨率插值试验,并分析对比了其在月累积降水、月平均气温插值中的误差。结果表明,当样本数量较多时,平均气温的插值以PRISM误差相对较小,Cokriging和IDW效果相当;对累积降水的插值,PRISM和Cokriging效果相当,并略优于IDW。三种算法的误差均随样本数量减少而增大,但PRISM的平均气温误差增长相对最慢,累积降水误差增长相对最快。当样本数量较少时,PRISM对气温插值的误差相对最小,而Cokriging对降水的插值误差相对最小。进一步分析表明:PRISM能显著减少复杂地形区的气温插值误差;累积降水插值主要受降水强度及降水局地性影响,考虑地形的插值算法并无明显优势。 相似文献
5.
仵彦卿 《地球科学与环境学报》1995,(1)
本文推导出了普通二变量及泛二变量组合克立金方程式．同时，给出了两种方法的估计误差标准差求解方程，可用于地下水动态观测网的密度优化；该方法还可用于地下水位、水中离子浓度的最优估计． 相似文献
6.
中国西部主要台站积雪深度的空间插值研究 总被引：1，自引：0，他引：1
应用空间插值方法,对中国西部地区(27.17～48.05°N,79.05～103.57°E)110个气象台站的观测数据进行空间内插,研究积雪分布特征。结果表明,普通Kriging法和Cokriging法都能够反映出研究区积雪深度分布的空间结构特征,与实际情况比较吻合。但相比之下,Cokriging法的精度更高,局部特征的反映更佳。分析发现,影响插值结果精度的主要因素是研究区内气象台站稀少,且空间分布很不均匀。通过合理的采样设计,选择合适的插值方法,并考虑地形、气候等影响积雪分布的因素将有利于改善空间插值精度。 相似文献
7.
基于地统计方法的气候要素空间插值研究 总被引：36，自引：2，他引：34
在回顾了地统计学的产生、发展及其基本原理的基础上,对于目前众多可以提供计算网格的气候要素的空间插值方法中,具体探讨了普通克里格法和协同克里格法。将甘肃省1961—1990年30年平均降水量和蒸发量作为区域化变量,根据不同的半变异函数理论模型,采用普通克里格法和双变量协同克里格法,通过对比分析得到：（1）不论是多年均降水量还是多年平均蒸发量在空间上都呈现明显的梯度变化,二者的空间变程都很大,而降水量变化幅度更大。降水量从东南部向西北部逐渐减少,蒸发量则相反,从东南向西北逐渐增加。（2）基于地统计的插值方法,根据半变异函数云图和试验方差最小的原理,选择合适的半变异函数理论模型进行变量的空间插值,能够较好地模拟区域化变量的空间连续分布格局,并取得较好的效果。对比普通克里格法和协同克里格法,后者增加了高度对降水量和蒸发量的影响,在空间分布上更为合理,插值的精度也要明显好于普通克里格法。（3）采用地统计方法虽然在总体上能够较好地反映气候要素的空间分布格局,但检验显示,两种方法空间插值的精度都还不是很高,插值的精度还有待进一步提高。 相似文献
8.
Large cokriging systems arise in many situations and are difficult to handle in practice. Simplifications such as simple kriging,
strictly collocated and multicollocated cokriging are often used and models under which such simplifications are, in fact,
equivalent to cokriging have recently received attention. In this paper, a two-dimensional second-order stationary random
process with known mean is considered and the redundancy of certain components of the data at certain locations vis-à-vis
the solution to the simple cokriging system is examined. Conditions for the simple cokriging weights of these components at
these locations are set to zero. The conditions generalise the notion of the autokrigeability coefficient and can, in principle,
be applied to any data configuration. In specific sampling situations such as the isotopic and certain heterotropic configurations,
models under which simple kriging, strictly collocated, multicollocated and dislocated cokriging are equivalent to simple
cokriging are readily identified and results already available in the literature are obtained. These are readily identified
and the results are already available in the literature. The advantage of the approach presented here is that it can be applied
to any data configuration for analysis of permissible simplifications in simple cokriging. 相似文献
9.
Spatial and temporal study of nitrate concentration in groundwater by means of coregionalization 总被引：1，自引：0，他引：1
Spatial and temporal behavior of hydrochemical parameters in groundwater can be studied using tools provided by geostatistics.
The cross-variogram can be used to measure the spatial increments between observations at two given times as a function of
distance (spatial structure). Taking into account the existence of such a spatial structure, two different data sets (sampled
at two different times), representing concentrations of the same hydrochemical parameter, can be analyzed by cokriging in
order to reduce the uncertainty of the estimation. In particular, if one of the two data sets is a subset of the other (that
is, an undersampled set), cokriging allows us to study the spatial distribution of the hydrochemical parameter at that time,
while also considering the statistical characteristics of the full data set established at a different time.
This paper presents an application of cokriging by using temporal subsets to study the spatial distribution of nitrate concentration
in the aquifer of the Lucca Plain, central Italy. Three data sets of nitrate concentration in groundwater were collected during
three different periods in 1991. The first set was from 47 wells, but the second and the third are undersampled and represent
28 and 27 wells, respectively. Comparing the result of cokriging with ordinary kriging showed an improvement of the uncertainty
in terms of reducing the estimation variance. The application of cokriging to the undersampled data sets reduced the uncertainty
in estimating nitrate concentration and at the same time decreased the cost of the field sampling and laboratory analysis.
Received: 23 July 1997 · Accepted: 31 March 1998 相似文献
10.
E. Pardo-Iguzquiza V.F. Rodríguez-Galiano M. Chica-Olmo Peter M. Atkinson 《ISPRS Journal of Photogrammetry and Remote Sensing》2011,66(3):337-346
The aim of this paper was to extend the method of downscaling cokriging for image fusion by making the method spatially adaptive in that the filter parameters (cokriging weights) can change across the image. The method can adapt itself to the usual statistical non-homogeneity (spatially variable mean, variance and correlation length) of a satellite sensor image that covers an area with different spatial patterns of geographical objects or different terrain types. The solution adopted was to estimate the models of covariances and cross-covariances (or semivariograms and cross-semivariograms) by the same procedure as described in Pardo-Iguzquiza et al. (2006) but with the method applied locally instead of globally. The correct implementation of this local estimation is the key for computational feasibility and prediction efficiency. Two parameters to be taken into account are the grid of locations on which a moving window is centred (local modelling is performed inside this window) and the size of this moving window. With respect to the latter parameter, there is a trade-off between a size small enough to make the procedure locally adaptive and large enough to produce reliable statistical estimates. The computational burden will impose limits to the distance between grid points on which the local moving window is centred. A case study with Landsat ETM+ images was used to show the implementation of the method and the result was evaluated using several statistics widely used for assessing the quality of a fused image, apart from its visual appearance. 相似文献