• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文学位 >Investigation of groundwater-surface water interactions at selected sites along the rio grande using high frequency pressure observations.
【24h】

Investigation of groundwater-surface water interactions at selected sites along the rio grande using high frequency pressure observations.

机译：使用高频压力观测研究在里奥格兰德州选定地点的地下水-地表水相互作用。

获取原文
获取原文并翻译 | 示例
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

In the semi-arid southwestern United States, understanding the relationship between groundwater and surface water is important for sustainable water resources management. Albuquerque, NM, the largest population center in the state of New Mexico, obtains water from the Santa Fe Aquifer Group and the Rio Grande; therefore interaction between these two connected water resources is particularly important for local legislators and regulators. The United States Geologic Survey (USGS) established the Middle Rio Grande Valley Monitoring Network to better quantify water resources in this area. High frequency pressure, high frequency temperature, geologic coring, and slug test data were collected at eight locations in the Albuquerque, NM area from 2003 to 2010. These data and the fully-integrated, physical hydrology model, ParFlow were used to model the Barelas cross-section in order to better understand the system's response to perturbations in river stage. Thirty-six ParFlow models were created assuming three different subsurface scenarios: homogenous, layered and correlated, Gaussian random field. The domain extent, spatial discretization, total run time, and topography were kept consistent between all scenarios. Seven hydraulic conductivity values and three specific storage values were tested. All ParFlow models were spun-up to ensure steady state conditions and simulated for the 2006-2007 water year. Model outputs were compared to corresponding physically observed values to determine goodness of model fit and to assess any trends in the data. Hydraulic conductivity and specific storage were shown to play very different roles in the model predictions.
机译：在美国西南半干旱地区，了解地下水与地表水之间的关系对于可持续水资源管理至关重要。新墨西哥州最大的人口中心新墨西哥州的阿尔伯克基（Albuquerque）从圣达菲含水层集团（Santa Fe Aquifer Group）和里奥格兰德（Rio Grande）取水。因此，这两个相连的水资源之间的相互作用对于当地的立法者和监管者尤为重要。美国地质调查局（USGS）建立了里约格兰德河谷中部监测网，以更好地量化该地区的水资源。从2003年到2010年，在新墨西哥州阿尔伯克基地区的八个位置收集了高频压力，高频温度，地质取芯和段塞测试数据。这些数据和完全集成的物理水文模型ParFlow用于对Barelas进行建模为了更好地了解系统对河段扰动的响应假设三种不同的地下情况，创建了36个ParFlow模型：同质，分层和相关的高斯随机场。在所有方案之间，域范围，空间离散，总运行时间和地形都保持一致。测试了七个水力传导率值和三个特定的存储值。对所有ParFlow模型进行了优化以确保稳态条件，并针对2006-2007水年进行了模拟。将模型输出与相应的物理观察值进行比较，以确定模型拟合的良好程度并评估数据中的任何趋势。在模型预测中，水力传导率和比存储显示出非常不同的作用。

著录项

  • 作者

    Bandy-Baldwin, Kimberly M.;

  • 作者单位

    Colorado School of Mines.;

  • 授予单位 Colorado School of Mines.;
  • 学科 Hydrology.
  • 学位 M.S.
  • 年度 2012
  • 页码 83 p.
  • 总页数 83
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号