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Developing a TopoSWAT Model and Water Quality Index Framework for the Karst-Dominant Falling Water River Watershed

机译:为喀斯特占主导的落水河流域开发TopoSWAT模型和水质指标框架

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摘要

As cities and communities grow, and land use patterns change, the water quality within a watershed is impacted by increased point, non-point source discharges, and altered hydrology. Therefore, decision-makers are always attempting to determine the best choices for sustaining economic growth, while protecting the environment. A new framework for conserving and restoring watershed health that is gaining traction lately focuses on holistically identifying and addressing water quality impairments in collaboration with state and local stakeholders. This framework is deemed the "watershed approach." To implement a watershed approach, robust data-driven hydrologic models capable of predicting the effects of land use changes on water flow and quality are needed, which can be challenging, especially for watersheds that are largely karst. Several previous studies have attempted to model the complex karst hydrology only with limited success. In this study several existing hydrologic models were evaluated for their use in the largely karst Falling Water River watershed, located in the Highland Rim region of Tennessee. Comparing simulated flow to observed flow, results indicated that the model, TopoSWAT, was better able to represent watershed flow. The flow calibrated TopoSWAT model produced an NSE and PBIAS values of 0.77 and 1.4%, respectively. Further, sediment and total nitrogen calibration was attempted with limited success due to sparse water quality data. Using the outputs from the model, a preliminary Water Quality Index (WQI) was calculated using a hybrid CCME WQI method. In addition, an easy-to-use Geographic Information System (GIS) based WQI tool was developed to integrate water quality data and allow evaluation of various watershed management alternatives. Although the WQI tool needs further improvement with additional hydrologic and water quality data, it can be used to illustrate the impacts, whether positive or negative, of land use changes. This tool can provide a way to enhance decision-making capabilities, leading to efficient management of watersheds while meeting the needs of urban development.
机译:随着城市和社区的发展以及土地利用方式的变化,流域内的水质会受到点,非点源排放量和水文状况变化的影响。因此,决策者们一直在努力寻求最佳选择,以维持经济增长,同时保护环境。最近受到关注的一个新的保护和恢复流域健康的框架着眼于与州和地方利益相关者合作,从整体上识别和解决水质损害。该框架被认为是“分水岭方法”。为了实施分水岭方法,需要能够预测土地利用变化对水流量和水质影响的健壮数据驱动的水文模型,这可能是一个挑战,特别是对于岩溶很大的分水岭。先前的几项研究仅以有限的成功尝试对复杂的喀斯特水文进行建模。在这项研究中,评估了几种现有的水文模型在田纳西州高地边缘地区大部分岩溶落水河流域中的使用。将模拟流量与观测流量进行比较,结果表明,TopoSWAT模型能够更好地表示分水岭流量。流量校准的TopoSWAT模型产生的NSE和PBIAS值分别为0.77和1.4%。此外,由于水质数据稀疏,尝试进行沉积物和总氮校准的成功有限。使用模型的输出,使用混合CCME WQI方法计算了初步水质指数(WQI)。此外,还开发了基于WQI工具的易于使用的地理信息系统,以集成水质数据并评估各种流域管理替代方案。尽管WQI工具需要通过附加的水文和水质数据来进一步改进,但可以用来说明土地利用变化的影响,无论是正面还是负面。该工具可以提供一种增强决策能力的方法,从而在满足城市发展需求的同时实现对流域的有效管理。

著录项

  • 作者

    Guy-Baker, Christine L.;

  • 作者单位

    Tennessee Technological University.;

  • 授予单位 Tennessee Technological University.;
  • 学科 Civil engineering.;Hydraulic engineering.;Hydrologic sciences.
  • 学位 M.S.
  • 年度 2018
  • 页码 142 p.
  • 总页数 142
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 地下建筑;
  • 关键词

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