Prediction of Salmonella in seawater by total and faecal coliforms and Enterococci

The power of total coliforms (TC), faecal coliforms (FC) and Enterococci to predict the presence of Salmonella in seawater was investigated. Indicator cut-off values with the most satisfactory combination of sensitivity and specificity in predicting Salmonella presence were 1000 CFU 100 ml⁻¹ TC, 200 CFU 100 ml⁻¹ FC, 500 CFU 100 ml⁻¹ Enterococci. When TC or FC were used for Salmonella prediction in logistic regression, then the addition of another indicator did not have a statistically significant effect. When Enterococci were used for prediction, then the addition of either of the two other indicators led to a statistically significant improvement (P = 0.001 for TC, P = 0.003 for FC). These results suggest that using either TC or FC alone provided an adequate indicator of Salmonella presence, but a statistically significant improvement is possible over using Enterococci alone. Concerning Enterococci, European Union limits for excellent coastal water quality (100 CFU 100 ml⁻¹) and United States Environmental Protection Agency criteria for marine bathing waters (35 CFU 100 ml⁻¹) have the same value in predicting Salmonella absence (92.5%).     

Geostatistical modelling of spatial and depth variability of SPT data for Bangalore

The purpose of this study is to develop a geostatistical model to evaluate the spatial and depth variability of Standard Penetration Test (SPT) data from Bangalore, India. The database consists of 766 boreholes spread over a 220 km² area, with several SPT values (N) in each of them. The geostatistical analysis is done for N corrected (N _corrected) values. The N _corrected value has been corrected for different parameters such as overburden stress, size of the bore hole, type of sampler, hammer energy and length of the connecting rod. The knowledge of the semivariogram of the SPT data is used with kriging theory to estimate the values at points in the subsurface of Bangalore where field measurements are not available. The model is used to compute the variance of estimated data. The model predicts reasonably well the SPT data. The geostatistical model provides valuable results that can be used for seismic hazard analysis, site response and liquefaction studies for the development of microzonation maps. The predicted N values from the developed model can also be used to estimate the subsurface information, allowable bearing pressure of soils and elastic modulus of soils.     

浙江省流域面雨量业务系统

主要介绍了浙江省气象局2003年业务建设招标项目浙江省流域面雨量业务系统的建设情况、采取的技术路线和实现的主要功能。该系统采用了成熟的COM组件和GIS技术，利用Kriging插值算法、等值线跟踪法和扫描线算法分别实现全省范围雨量网格化分析、等值线分析和流域面雨量计算，系统能实现4级53个流域面雨量的计算。     

塔里木盆地年平均气温的分形特征研究

根据分形理论、相空间嵌入定理、Grassberger和Procaccia提出的计算分维数的方法,对塔里木盆地22个气象台站50年(1956-2005)的年平均气温时间序列数据进行分析,计算其分维数,进一步应用普通克立格法、采用变异函数的指数模型对分维数进行了空间插值.研究结果表明.(1)该区域年平均气温的分维数为2.22～2.64,它提供了该区域气候吸引子的自相似结构的基本信息,表明模拟该区域气候系统至少需要3个独立变量,(2)分形维数的空间分布与地形地理位置密切相关,在地形地势复杂的地方及有地表径流的地方分维数的值较高,譬如在盆地边缘砾石带、盆地边缘绿洲带、盆地东部的罗布泊湖盆区分形维数均较高,约为2.55～2.57,表明这些地方气候变化较为复杂,沙漠腹地分形维数较低,约为2.51～2.55,气候系统的复杂性相对较低.     

我国东部主要类型金矿床的找矿标志

中国东部地区不同类型的金矿床中大多可见到Ａｕ、Ａｇ、Ｃｕ、Ｐｂ、Ｚｎ、Ａｓ、Ｈｇ及Ｍｏ等元素的异常,除Ｍｏ外,其它元素的异常与Ａｕ元素的异常为正相关。各类型矿床的异常元素组合、矿物组合及黄铁矿中微量元素的含量、氧硫同位素变化等均有一定的差异。成矿环境总的来说是富硅或富钙、贫氧的碱性环境。     

岩石圈磁场数据网格化方法研究

选取最小曲率、克里格、改进Shepard、反距离加权和径向基函数等5种网格化数学模型,对小江断裂地磁总强度加密区岩石圈磁场数据进行数据网格化,采用均方根预测误差和插值数据残差均方根等评价指标对网格化结果进行评价,结果表明,克里格插值与反距离加权插值法的精度最高。进一步比较克里格插值与反距离加权插值法的网格化图形质量,结果显示克里格插值网格化过程中兼顾了数据的平滑性和各实测点与待估点之间的空间位置关系,避免了系统误差,得出克里格插值更适用于岩石圈磁场数据网格化的结论。     

江西省降水空间插值方法适用性分析

文中基于数字高程模型,建立了多元线性回归插值模型(MLR)和PRISM空间插值方法,并与传统的反距离权重法(IDW)和普通克里金插值法(OK)进行比较.结果表明:1)江西省5月、7—10月降水量与海拔高度存在显著的相关性,与坡度、坡向无明显相关.2)从插值精度来看,3—9月PRISM和MLR空间插值精度明显优于IDW和OK,冬半年IDW和OK插值精度略高于MLR和PRISM;4种插值方法的年降水量插值精度排序为PRISM>MLR>OK>IDW;PRISM和MLR在高海拔地区的插值精度远高于IDW和OK.3)从插值效果来看,4种插值方法的降水空间分布具有一致性,MLR和PRISM优于IDW和OK.     

现代土壤磁化率空间分布特征及成壤影响因素分析——以桑干河阳原段为例

为了揭示影响成壤作用发生的主要因素,对河北省阳原县桑干河流域表层土壤开展常规土壤指标和环境磁学参数的地统计学分析,结果表明,土壤的频率磁化率(χ_(fd20))、Eh值、有机质、黏土—粉砂含量等参数的空间分布特征受控于研究区的高程,而土壤的含水量、铁游离度和活化度的空间分布特征受控于坡向。因此,在影响成壤作用的五大因素(母质、气候、地形、有机质、时间)中,地形(高程、坡向)是影响研究区成壤作用强弱的主要因素。此外,虽然前人发现频率磁化率和铁游离度都能反映铁氧化物含量和成壤作用强弱,但本次研究通过对比空间分布特征发现,频率磁化率与有机质、Eh值等土壤指标有较好的相似性,且与耕地类型分布一致,所以,相对于铁游离度,频率磁化率更能反映研究区土壤发育状况。     

Mapping shoreline indicators on a sandy beach with supervised edge detection of soil moisture differences

This study describes a method to map shoreline indicators on a sandy beach. The hypothesis is that, on this beach, spectral albedo is predominantly determined by moisture content and water lines can, therefore, be detected as albedo contrasts. A laboratory experiment is performed to relate moisture content to image albedo, and supervised edge detection is subsequently used to map the shoreline indicators with remote sensing imagery. The algorithm is tested with data from visible, near-infrared and shortwave-infrared wavelength regions. These results are compared to shoreline indicators obtained by a field survey and a shoreline indicator derived from a digital elevation model. Both the water line present when the imagery was acquired, as well as the maximum extent of the last flood, can be detected as a single edge. Older high water lines are confused with the last high water line and appear dispersed, as there are multiple debris lines present on the beach. The low water line, usually in saturated sand, also appears dispersed due to the presence of channels and troughs. Shorelines are constant moving boundaries, which is why shoreline indicators are used as a proxy. Unlike a mathematical indicator that is based on an elevation model, our method is more sensitive to the dynamic nature of shorelines. Supervised edge-detection is a technique for generating reproducible measurements of shoreline indicator positions over time, and aids in the monitoring of coastline migration.     

山西柳林泉域地下水化学信息的因子—克立格分析

本文尝试将因子分析与克立格法相结合,用以分析柳林泉域地下水化学资料,获取到地下水成因,循环深度等方面的信息。研究表明,因子－克立格法是一种有效,实用的研究区域水文地质问题的分析方法。