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Flow through system (FTS) and spectral absorption / attenuation sensor (ACS) data from boat mapping transects within the Sacramento-San Joaquin River Delta

Dates

Publication Date
Date Collected
2019-10-09
Date Collected
2019-10-10
Date Collected
2019-10-11
Date Collected
2020-01-13
Date Collected
2020-01-14
Date Collected
2020-01-15
Date Collected
2020-07-07
Date Collected
2020-07-08
Date Collected
2020-07-09
Date Collected
2021-04-05
Date Collected
2021-04-06
Date Collected
2021-04-07

Citation

Fleck, J.A., Marvin-DiPasquale, M.C., Bergamaschi, B.A., Windham-Myers, L., Alpers, C.N., Hestir, E.L., Avouris, D.M., O'Donnell, K., Oros, D.M., Hansen, A., Watanabe, P.T., Sushch, D., DeParsia, E., Sturgeon, C.L., Delascagigas, A., Hansen, J.A., Burau, D.J., Agee, J.L., Kieu, L.H., Kakouros, E., and Baesman, S.M., 2023, High resolution and discrete temporal and spatial water-quality measurements in support of modeling mercury and methylmercury concentrations in surface waters of the Sacramento-San Joaquin River Delta: U.S. Geological Survey data release, https://doi.org/10.5066/P9O85MN7.

Summary

The goal of this study was to develop a suite of inter-related water quality monitoring approaches capable of modeling and estimating the spatial and temporal gradients of particulate and dissolved total mercury (THg) concentration and particulate and dissolved methyl mercury (MeHg) concentration in surface waters across the Sacramento / San Joaquin River Delta (SSJRD). This suite of monitoring approaches included: a) data collection at fixed continuous monitoring stations (CMS) outfitted with in-situ sensors, b) spatial mapping using boat-mounted, flow-through, sensors and c) satellite-based remote sensing. The focus of this specific Child Page is to present all data collected during the underway boat mapping component of the study. [...]

Contacts

Attached Files

Click on title to download individual files attached to this item.

FTS_acs_ag.csv
“spectral absorption data for filtered water, calculated value [apg - ag = ap]”
118.73 MB text/csv
FTS_acs_ap.csv
“spectral absorption data for particulates from water using a field ACS monitor”
117.64 MB text/csv
FTS_acs_apg.csv
“spectral absorption data for nonfiltered water using a field ACS monitor”
117.81 MB text/csv
FTS_acs_cg.csv
“spectral attenuation data for filtered water using a field ACS monitor”
118.13 MB text/csv
FTS_acs_cp.csv
“spectral attenuation data for water particulate, calculated value [cpg-cg = cp]”
116.03 MB text/csv
FTS_acs_cpg.csv
“spectral attenuation data for nonfiltered water collected using a field ACS”
116.56 MB text/csv
FTS_water_quality_20s_median.csv
“optical properties and water quality parameters collected from field sensors”
34.5 MB text/csv
Data_Dictionary_FTS_ACS.csv
“Entity and Attribute metadata in table format”
256.01 KB text/csv

Purpose

This data release is in partial fulfillment of an agreement between the U.S. Geological Survey and the University of California, Merced, related to a study funded through the California Department of Fish and Wildlife (PROPOSAL #: P1896056-01, TITLE: High Resolution Temporal and Spatial Mapping of Mercury in Surface Waters of the San Francisco Bay Delta), as part of the California Proposition 1 Water Quality, Supply, and Infrastructure Improvement Act of 2014. The overarching goal of this study was to develop models that can estimate surface-water concentrations of four mercury species (particulate and filter-passing fractions of total mercury and methylmercury) using a trio of high-resolution water-quality data collection platforms. The purpose of the files herein is to provide the full spatial datasets for the four boat-based mapping events (three days each) and the underlying information for how these measurements were processed. These resulting data files can be used to generate high spatial resolution maps of all measurements and can be integrated into empirical model that estimate mercury species concentrations and to generate high spatial resolution mercury concentration maps from these boat-based measurements.

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