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Physically Based Modeling of Delta Island Consumptive Use A case study of Fabian Tract and Staten Island.

机译:基于物理的三角洲岛消费使用建模-以Fabian地区和史泰登岛为例。

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摘要

Continuous water diversions, water operations, and land-use changes in the Delta have affected Delta water flows, quality, and suitability for native fish species. Knowledge and understanding of the flows in Delta rivers, channels, and streams is crucial to solve the Delta's many problems. In an on-going effort to better understand and manage the Delta, a collaborative, integrated approach was used to better predict internal Delta Island Consumptive Use of water (DICU) values and water quality variables on a higher resolution and base diversion and return locations on current high-resolution topography rather than past approximations. The Delta islands known as Fabian Tract and Staten Island were selected for this study based on available data and island accessibility. A combination of historical diversion and return location data, water rights claims, and LIDAR digital elevation model data were used to predict diversion and return locations on the islands. The accuracy of the predicted diversion and return locations was analyzed and improved through ground-truthing. To calculate water requirements and runoff returns from agricultural land-use, incorporating soil and land-use characteristics as well as weather data, the IWFM Demand Calculator (IDC) was selected. The choice was based on model capabilities, ease of use, applicability, and recommendations. As input to the IDC model, Fabian Tract and Staten Island were divided into grid cells forming subregions, representing fields, levees, ditches, and roads.;The subregions were joined to form diversion and return watersheds representing the total area supplied by a given water source or the total drainage area for a given return. Diversion and return volumes were limited to physical abilities of the systems. Model results provide daily estimates of the volume of water diverted and returned from actual diversion and return locations, providing insights into daily agricultural diversion and return operations within the Delta that are missed in DICU models and supporting sustainable solutions for the problems of the Delta.
机译:三角洲持续的调水,水务运营和土地利用变化已经影响了三角洲的水流量,水质以及对当地鱼类的适应性。了解和理解三角洲河流,航道和溪流中的水流对于解决三角洲的许多问题至关重要。为了更好地了解和管理三角洲,我们正在采取一种协作,综合的方法,以更高的分辨率更好地预测三角洲内部的用水量(DICU)值和水质变量,以及在该处的基础分流和回水位置。当前的高分辨率地形,而不是过去的近似值。根据现有数据和岛屿的可及性,选择了被称为Fabian Tract和史泰登岛的三角洲岛屿。历史分流和返回位置数据,水权主张和LIDAR数字高程模型数据的组合被用于预测岛屿上的分流和返回位置。通过地面实战分析并提高了预测的引水和回水位置的准确性。为了计算农业土地利用的需水量和径流量回报,并结合土壤和土地利用特征以及天气数据,选择了IWFM需求计算器(IDC)。选择基于模型功能,易用性,适用性和建议。作为IDC模型的输入,将Fabian Tract和史泰登岛划分为网格单元,形成子区域,分别代表田野,堤防,沟渠和道路;这些子区域合并形成分流和返回分水岭,代表给定水供应的总面积给定收益的水源或总排水面积。转移和返回量仅限于系统的物理能力。模型结果提供了对实际分流和回水地​​点的调水和回水量的每日估算,提供了DICU模型中缺少的三角洲日常农业分流和回水作业的见解,并为三角洲的问题提供了可持续的解决方案。

著录项

  • 作者

    Siegfried, Lucas Joseph.;

  • 作者单位

    University of California, Davis.;

  • 授予单位 University of California, Davis.;
  • 学科 Engineering Civil.
  • 学位 M.S.
  • 年度 2012
  • 页码 113 p.
  • 总页数 113
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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