A methodology for water quantity and quality assessment for wetland development

Vadas, Rolando G.; Garcia, Luis A.; Labadie, John W.

doi:10.2166/wst.1995.0322

Cited by 3 publications

(3 citation statements)

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“…More recently, Carriaga and Mays [1995] compared the performance of several optimization models for short-term operation of a hypothetical reservoir for both water quantity and quality purposes, with the latter focusing on sediment control. Vadas et al [1995] applied an integrated water quantity/quality model for optimal restoration of a large wetland complex.…”

Section: Introductionmentioning

confidence: 99%

Enhancing water quality in hydropower system operations

Hayes¹,

Labadie²,

Sanders³

et al. 1998

Water Resources Research

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Abstract. The quality of impounded waters often degrades over time because of thermal stratification, sediment oxygen demands, and accumulation of pollutants. Consequently, reservoir releases impact water quality in tailwaters, channels, and other downstream water bodies. Low dissolved oxygen (DO) concentrations in the Cumberland River below Old Hickory dam result from stratification of upstream reservoirs and seasonally low release rates. Operational changes in upstream hydropower reservoirs may be one method to increase DO levels without substantially impacting existing project purposes. A water quality model of the upper Cumberland basin is integrated into an optimal control algorithm to evaluate water quality improvement opportunities through operational modifications. The integrated water quantity/quality model maximizes hydropower revenues, subject to various flow and headwater operational restrictions for satisfying multiple project purposes, as well as maintenance of water quality targets. Optimal daily reservoir release policies are determined for the summer drawdown period which increase DO concentrations under stratification conditions with minimal impact on hydropower production and other project purposes.

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Section: Introductionmentioning

confidence: 99%

Enhancing water quality in hydropower system operations

Hayes¹,

Labadie²,

Sanders³

et al. 1998

Water Resources Research

Self Cite

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“…A number of simulation models and environmental decision support systems have been developed for river basin and irrigation management (Fedra, 1993;Zu andDale, 2001 andGarcia et al, 2000) or wetland management (Vadas et al, 1995;Janssen et al, 2005) that have helped to rationalize data collection activities and improve systems thinking. However none of these studies has attempted to integrate monitoring, modeling and visualization into a single environmental decision support system.…”

Section: Salinity Management In the Murray Darling Basinmentioning

confidence: 99%

“…The model is similar in design to models of irrigated agriculture under saline conditions (Mahmoud and Garcia, 1995;Garcia and Lange, 1993;Vadas et al, 1995) except for the fact that wetlands are flooded in the fall and drained in the spring. Monthly sub-basin, seasonally-adjusted salt load targets are one of a number of salinity management strategies that could be used to encourage cooperation and coordination of wetland drawdown by State, Federal and private wetland stakeholders.…”

Section: Water Quality Forecasting and Decision Supportmentioning

confidence: 99%

Environmental Sensor Networks and Continuous Data Quality Assurance to Manage Salinity within a Highly Regulated River Basin.

Quinn

Ortega

Holm

Decision Support Systems in Agriculture, Food and the Environment

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Environmental sensor networks enjoy widespread deployment as monitoring systems have become easier to design and implement in the field and installation costs have fallen. Unfortunately software systems for data quality assurance have not kept pace with the development of these sensor network technologies and risk compromising the potential of these innovative systems by making it difficult to assess the accuracy and consistency of the data. Lingering uncertainty can constrain the willingness of stakeholders to make operational decisions on the basis of the real-time sensor data -a few negative experiences can do irreparable damage to a project which is attempting to change stakeholder behavior. Management of river salt loads in complex and highly regulated river basins such as the Murray Darling Basin in south-east Australia and the San Joaquin Basin in California, USA present significant challenges to Information Technology infrastructure within resource agencies that often have a poor history of coordination and data sharing. In the San Joaquin Basin -web-based environmental data dissemination initiatives to address salinity issues need to overcome a fear of loss of autonomy as well as data quality assurance and data reliability issues. These environmental decision support issues are contrasted with those facing resource managers in the Murray Darling Basin. This paper describes a new approach to environmental decision support for salinity management in the San Joaquin Basin of California that focuses on web-based data sharing using YSI Econet technology and continuous data quality management using a novel software tool, Aquarius. Commercial turn-key monitoring systems such as YSI EcoNet provide real-time web-access to sensor data as well as providing the owner full control over the way the data is visualized. The same websites use GIS to superimpose the monitoring site locations on maps and local hydrography and allow point and click access to the data collected at each environmental monitoring site. This Information Technology suite of software and hardware work together to provide timely, reliable and high quality data in a manner that can used by stakeholder decision makers to better manage salt export to the San Joaquin River and ensure compliance with State water quality objectives. The technologies developed for this application can be extended to improve compliance with TMDL water quality objectives over entire river basins and should have applicability in any watershed where environmental decision support systems are being developed to assist for stakeholders as part of a coordinated strategy for non-point pollutant load reduction

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An Analytical Solution to Model Aquaculture Wetlands Subject to Intermittent Loading and Variable Initial Concentrations

Uddameri

2009

Environ Model Assess

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Constructed wetlands are increasingly being used to treat intermittent releases of wastewaters from aquaculture ponds. Most constructed wetland design protocols are based on steady-state releases and as such are incapable of characterizing transient pollutant distribution arising from intermittent releases. Given the seasonal nature of aquaculture operations, the constructed wetland has to be developed using water from other nearby sources (termed as fill water in this study). In some instances, the pollutant concentrations in the fill water are noted to be greater than that measured in the aquaculture ponds. Also, the pollutants in the wetland may exhibit spatial variability due to geochemical interactions with wetland soils. These effects cannot be captured with existing steady-state design schemes. A mathematical model based on the tanks-in-series conceptualization is developed to overcome the aforementioned limitations. An analytical solution for multiple intermittent releases and spatially varying initial concentrations is obtained using Laplace transform and superposition techniques. The utility of the developed model is illustrated using an example based after a constructed wetland at the Loma Alta Shrimp Aquaculture Facility (LASAF) in South Texas. The developed model captures the extremely nonlinear relationship between the maximum discharge concentration and the hydraulic residence time. For the conditions assumed in this study, the extent of mixing is not of major concern when the spacing between the loadings is greater than 0.75 times the hydraulic residence time (HRT). Model results also suggest that the wetland should be oriented in a manner such that the internal geochemical production of the pollutant, if any, is near the inlet.

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A methodology for water quantity and quality assessment for wetland development

Cited by 3 publications

References 0 publications

Enhancing water quality in hydropower system operations

Enhancing water quality in hydropower system operations

Environmental Sensor Networks and Continuous Data Quality Assurance to Manage Salinity within a Highly Regulated River Basin.

An Analytical Solution to Model Aquaculture Wetlands Subject to Intermittent Loading and Variable Initial Concentrations

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