A Simplified Approach for Estimating Ionic Concentrations from Specific Conductance Data in the San Francisco Estuary

Q3 Agricultural and Biological Sciences San Francisco Estuary and Watershed Science Pub Date : 2023-12-21 DOI:10.15447/sfews.2023v21iss4art6
Paul Hutton, Arushi Sinha, Sujoy Roy, Richard Denton
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Abstract

This work presents a simplified approach for estimating ionic concentrations from specific electrical conductance (EC) data in the San Francisco Estuary. Monitoring the EC of water through electrodes is simple and inexpensive. As a result, a wealth of high-resolution time-series data is available to indirectly estimate salinity concentrations and, by extension, seawater intrusion throughout the study domain. However, scientists and managers are also interested in quantifying ionic (e.g., bromide, chloride) and total dissolved solids (TDS) concentrations to meet water-quality regulations, protect beneficial uses, support environmental analyses, and track source-water dominance. These constituent concentrations, reported with lower spatial and temporal resolution than EC, are typically measured in the laboratory from discrete (grab) water samples. We divided the study domain into four unique regions to estimate concentrations of major ions and TDS as mathematical functions of measured or model-simulated EC. Salinity relationships in three of the four regions—regions that represent Sacramento-San Joaquin Delta (Delta) inflow and seawater-dominated boundaries—reflect ionic make-ups that are either independent of or weakly dependent on season and hydrologic condition, and are highly correlated with EC. The fourth region—represented by the interior Delta—exhibits salinity characteristics associated with complex-boundary source-water mixing that varies by season and hydrologic condition. We introduce a novel method to estimate ionic and dissolved solids concentrations within this fourth region, given month, water year type, and (optionally) X2 isohaline position, which allows for more accurate EC-based estimates than previously available. The resulting approach, while not a substitute for hydrodynamic modeling, can provide useful information under constrained schedules and budgets.
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根据比电导数据估算旧金山河口离子浓度的简化方法
这项研究提出了一种简化方法,用于根据旧金山河口的特定电导率(EC)数据估算离子浓度。通过电极监测水的导电率既简单又便宜。因此,大量的高分辨率时间序列数据可用于间接估算盐度浓度,进而估算整个研究区域的海水入侵情况。不过,科学家和管理人员也对离子(如溴化物、氯化物)和总溶解固体(TDS)浓度的量化感兴趣,以满足水质法规要求、保护有益用途、支持环境分析并跟踪源水优势。与导电率相比,这些成分浓度的时空分辨率较低,通常在实验室中通过离散(抓取)水样进行测量。我们将研究区域划分为四个独特的区域,以估算作为测量或模型模拟 EC 的数学函数的主要离子和 TDS 的浓度。四个区域中的三个区域(代表萨克拉门托-圣华金三角洲(Delta)流入水域和海水为主的边界区域)的盐度关系反映出离子构成与季节和水文条件无关或依赖性较弱,并且与 EC 高度相关。第四个区域--以三角洲内部为代表--表现出与复杂边界源水混合有关的盐度特征,这种混合因季节和水文条件而异。我们引入了一种新方法来估算第四个区域内的离子和溶解固体浓度,给定月份、水年类型和(可选)X2 等盐度位置,这使得基于导电率的估算比以前更准确。这种方法虽然不能替代水动力模型,但可以在时间和预算有限的情况下提供有用的信息。
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来源期刊
San Francisco Estuary and Watershed Science
San Francisco Estuary and Watershed Science Environmental Science-Water Science and Technology
CiteScore
2.90
自引率
0.00%
发文量
24
审稿时长
24 weeks
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