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GIS-based statistical, geostatistical, and stochastic analyses of nitrate contamination in the Cimarron Terrace aquifer in Oklahoma.

机译:基于GIS的俄克拉荷马州Cimarron Terrace含水层中硝酸盐污染的统计,地统计和随机分析。

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摘要

Ordinary kriging estimates of groundwater quality monitoring data were integrated into GIS to provide a quantitative, statistical, and weighted means of nitrates defining the statistical significance of spatial changes. The tendency of probability to remain geographically stationary or to change with time was also evaluated as chronic exceedance frequencies of nitrates by using indicator kriging. At threshold 10 mg/l, nitrates were frequently observed in the central portion of the aquifer. From logistic regressions, the best radius of well influence so that the land use could show significant effects on nitrate concentration in wells was determined to be 1,000 meters.; Developed land, Fertilizer N, and Depth to water table were significant predictors of groundwater nitrate concentration in excess of 4 mg/l while percent of Clay, Fertilizer N, and Depth to water table were significant predictors in excess of 10 mg/l. The probability curves of Monte Carlo simulation indicated that mean probabilities of occurrence of nitrate in excess of 4 mg/l and 10 mg/l were 0.8214 and 0.2581 respectively. Fertilizer N was found to be the most sensitive parameter for occurrence of both levels of nitrate.
机译:地下水质量监测数据的普通克里金法估计值已集成到GIS中,以提供定量,统计和加权的硝酸盐方法,从而定义了空间变化的统计意义。通过使用指示克里格法,也将概率保持在地理上稳定或随时间变化的趋势作为硝酸盐的长期超标频率。阈值为10 mg / l时,经常在含水层的中心部分观察到硝酸盐。根据逻辑回归,确定最佳影响井半径为1,000米,以使土地利用对井中硝酸盐浓度显示出显着影响。发达的土地,氮肥和地下水位是地下水硝酸盐浓度超过4 mg / l的重要预测指标,而粘土,氮肥和地下水位的百分比是超过10 mg / l的重要预测指标。蒙特卡罗模拟的概率曲线表明,硝酸盐出现超过4 mg / l和10 mg / l的平均概率分别为0.8214和0.2581。肥料N被认为是同时出现两个硝酸盐含量的最敏感参数。

著录项

  • 作者

    K.C., Moti Lal.;

  • 作者单位

    Oklahoma State University.$bCivil & Environmental Engineering.;

  • 授予单位 Oklahoma State University.$bCivil & Environmental Engineering.;
  • 学科 Engineering Civil.; Engineering Environmental.
  • 学位 M.S.
  • 年度 2007
  • 页码 275 p.
  • 总页数 275
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 建筑科学;环境污染及其防治;
  • 关键词

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