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Title: Real-time management of water quality in the San Joaquin River Basin, California.

Abstract

In the San Joaquin River Basin, California, a realtime water quality forecasting model was developed to help improve the management of saline agricultural and wetland drainage to meet water quality objectives. Predicted salt loads from the water quality forecasting model, SJRIODAY, were consistently within +- 11 percent of actual, within +- 14 percent for seven-day forecasts, and with in +- 26 percent for 14-day forecasts for the 16-month trial period. When the 48 days dominated by rainfall/runoff events were eliminated from the data set, the error bar decreased to +- 9 percent for the model and +- 11 percent and +- 17 percent for the seven-day and 14-day forecasts, respectively. Constraints on the use of the model for salinity management on the San Joaquin River include the number of entities that control or influence water quality and the lack of a centralized authority to direct their activities. The lack of real-time monitoring sensors for other primary constituents of concern, such as selenium and boron, limits the application of the model to salinity at the present time. A case study describes wetland drainage releases scheduled to coincide with high river flows and significant river assimilative capacity for salt loads.

Authors:
;
Publication Date:
Research Org.:
Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
Sponsoring Org.:
USDOE. Office of Science; U.S. Bureau of Reclamation (US)
OSTI Identifier:
833967
Report Number(s):
LBNL-55473
Journal ID: ISSN 1093-474X; JAWRAO; R&D Project: 465103; TRN: US200430%%2052
DOE Contract Number:  
AC03-76SF00098
Resource Type:
Journal Article
Journal Name:
Journal of the American Water Resources Association
Additional Journal Information:
Journal Volume: 34; Journal Issue: 6; Other Information: Journal Publication Date: December 1998; PBD: 1 Sep 1997; Journal ID: ISSN 1093-474X
Country of Publication:
United States
Language:
English
Subject:
58 GEOSCIENCES; BORON; CAPACITY; DRAINAGE; FORECASTING; MANAGEMENT; MONITORING; SALINITY; SELENIUM; WATER QUALITY; WETLANDS; WATER QUALITY REAL-TIME MANAGEMENT SALTS DRAINAGE ENVIRONMENT/ECOLOGY IN CURRENT CONTENTS(R)/AGRICULTURAL BIOLOGY & ENVIRONMENTAL SCIENCES

Citation Formats

Quinn, N W.T., and Karkoski, J. Real-time management of water quality in the San Joaquin River Basin, California.. United States: N. p., 1997. Web.
Quinn, N W.T., & Karkoski, J. Real-time management of water quality in the San Joaquin River Basin, California.. United States.
Quinn, N W.T., and Karkoski, J. 1997. "Real-time management of water quality in the San Joaquin River Basin, California.". United States.
@article{osti_833967,
title = {Real-time management of water quality in the San Joaquin River Basin, California.},
author = {Quinn, N W.T. and Karkoski, J},
abstractNote = {In the San Joaquin River Basin, California, a realtime water quality forecasting model was developed to help improve the management of saline agricultural and wetland drainage to meet water quality objectives. Predicted salt loads from the water quality forecasting model, SJRIODAY, were consistently within +- 11 percent of actual, within +- 14 percent for seven-day forecasts, and with in +- 26 percent for 14-day forecasts for the 16-month trial period. When the 48 days dominated by rainfall/runoff events were eliminated from the data set, the error bar decreased to +- 9 percent for the model and +- 11 percent and +- 17 percent for the seven-day and 14-day forecasts, respectively. Constraints on the use of the model for salinity management on the San Joaquin River include the number of entities that control or influence water quality and the lack of a centralized authority to direct their activities. The lack of real-time monitoring sensors for other primary constituents of concern, such as selenium and boron, limits the application of the model to salinity at the present time. A case study describes wetland drainage releases scheduled to coincide with high river flows and significant river assimilative capacity for salt loads.},
doi = {},
url = {https://www.osti.gov/biblio/833967}, journal = {Journal of the American Water Resources Association},
issn = {1093-474X},
number = 6,
volume = 34,
place = {United States},
year = {Mon Sep 01 00:00:00 EDT 1997},
month = {Mon Sep 01 00:00:00 EDT 1997}
}