Real-Time Water Quality Management in the Grassland Water District

Quinn, Nigel W.T. ; Hanna, W. Mark ; Hanlon, Jeremy S. ; Burns, Josphine R. ; Taylor, Christophe M. ; Marciochi, Don ; Lower, Scott ; Woodruff, Veronica ; Wright, Diane ; Poole, Tim

Lawrence Berkeley National Laboratory

关键词: Mass Balance;    Management;    Remote Sensing;    Habitat;    Compliance;   

DOI  :  10.2172/838254
RP-ID  :  LBNL--56825
RP-ID  :  AC03-76SF00098
RP-ID  :  838254

美国|英语

来源: UNT Digital Library

【 摘 要 】

The purpose of the research project was to advance the concept of real-time water quality management in the San Joaquin Basin by developing an application to drainage of seasonal wetlands in the Grassland Water District. Real-time water quality management is defined as the coordination of reservoir releases, return flows and river diversions to improve water quality conditions in the San Joaquin River and ensure compliance with State water quality objectives. Real-time water quality management is achieved through information exchange and cooperation between shakeholders who contribute or withdraw flow and salt load to or from the San Joaquin River. This project complements a larger scale project that was undertaken by members of the Water Quality Subcommittee of the San Joaquin River Management Program (SJRMP) and which produced forecasts of flow, salt load and San Joaquin River assimilative capacity between 1999 and 2003. These forecasts can help those entities exporting salt load to the River to develop salt load targets as a mechanism for improving compliance with salinity objectives. The mass balance model developed by this project is the decision support tool that helps to establish these salt load targets. A second important outcome of this project was the development and application of a methodology for assessing potential impacts of real-time wetland salinity management. Drawdown schedules are typically tied to weather conditions and are optimized in traditional practices to maximize food sources for over-wintering wildfowl as well as providing a biological control (through germination temperature) of undesirable weeds that compete with the more proteinaceous moist soil plants such as swamp timothy, watergrass and smartweed. This methodology combines high resolution remote sensing, ground-truthing vegetation surveys using established survey protocols and soil salinity mapping using rapid, automated electromagnetic sensor technology. This survey methodology could be complemented with biological surveys of bird use and invertebrates to produce a robust long-term monitoring strategy for habitat health and sustainability.