five

Post-Optimization Scenarios for the Santa Barbara Groundwater Model, California

收藏
DataCite Commons2025-12-18 更新2026-05-07 收录
下载链接:
https://www.sciencebase.gov/catalog/item/68ac8804d4be0263d2490fa5
下载链接
链接失效反馈
官方服务:
资源简介:
The city of Santa Barbara, in cooperation with the U.S. Geological Survey (USGS) California Water Science Center, developed a three-dimensional density-dependent groundwater-flow and solute-transport model (the Santa Barbara Flow and Transport Model; Paulinski and others, 2018; Nishikawa and others, 2018). The Santa Barbara Flow and Transport Model met the objectives of estimating the sustainability of Santa Barbara's groundwater basins by optimizing the total capacity for pumping while limiting drawdown and seawater intrusion. In conjunction with the 2020 Enhanced Urban Water Management Plan, the city of Santa Barbara sought to evaluate the groundwater flow model sustainable use as defined by minimizing changes in storage. Because change in storage was not optimized as an objective for the Santa Barbara Flow and Transport Model, post-optimization assessment is required to effectively evaluate the pumping capacity and aquifer recovery in the basin. To accomplish this, the completed Santa Barbara Flow and Transport Model was coupled with a management optimization tool, in this case a multi-objective evolutionary algorithm, to determine optimal pumping strategies that maximize the water production and at the same time satisfy user-defined storage, drawdown, and chloride-concentration constraints.
提供机构:
U.S. Geological Survey
创建时间:
2025-12-18
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作