Post‐Audit of Lake Model Used for NPS Management

Hartigan, John P.; Friedman, John A.; Southerland, E. Marie

doi:10.1061/(asce)0733-9372(1983)109:6(1354)

Cited by 5 publications

(3 citation statements)

References 5 publications

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“…This study is similar to previous studies (Cavacas et at., 1982;Hartigan et at., 1983;Metropolitan Washington Council of Governments, 1983;Donigian et at., 1991) in that a land-based nonpoint source pollution model and an in-stream transport model were used to evaluate nonpoint source pollution loadings and the effectiveness of BMPs in reducing these loadings. However, the previous studies used modeling frameworks that were developed for watersheds with significant topographic relief, temperate climates, and transport systems that typically did not include wetlands.…”

Section: Resources Bulletin 58mentioning

confidence: 99%

A FRAMEWORK FOR PHOSPHORUS TRANSPORT MODELING IN THE LAKE OKEECHOBEE WATERSHED¹

Wagner¹,

Tisdale²,

Zhang³

1996

J American Water Resour Assoc

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A modeling framework was developed to determine phosphorus loadings to Lake Okeechobee from watersheds located north of the lake. This framework consists of the land-based model CREAMS-WT, the in-stream transport model QUAL2E, and an interface procedure to format the land-based model output for use by the in-stream model. QUAL2E hydraulics and water quality routines were modified to account for flow routing and phosphorus retention in both wetlands and stream channels. Phosphorus loadings obtained from previous applications of CREAMS-WT were used by QUAL2E, and calibration and verification showed that QUAL2E accurately simulated seasonal and annual phosphorus loadings from a watershed. Sensitivity and uncertainty analyses indicated that the accuracy of monthly loadings can be improved by using better estimates of in-stream phosphorus decay rates, ground water phosphorus concentrations, and runoff phosphorus concentrations as input to QUAL2E. (KEY TERMS: hydraulics; modeling; nonpoint source pollution; phosphorus; surface water hydrology; water quality; wetlands; uncertainty analysis.) nonpoint pollution that ultimately reaches Lake Okeechobee has not been established. As phosphorus is transported to the lake, it may be retained temporarily or permanently in stream channels and wetlands via physical, chemical, and biological processes. Examples of these processes are the settling of organic phosphorus, the sorption of dissolved phosphorus to suspended particulate matter or sediment, and the uptake of phosphorus by aquatic macrophytes and algae. The ability to accurately assess phosphorus retention, or assimilation, is important, because assimilation can significantly reduce phosphorus loads ultimately reaching Lake Okeechobee.

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Section: Resources Bulletin 58mentioning

confidence: 99%

A FRAMEWORK FOR PHOSPHORUS TRANSPORT MODELING IN THE LAKE OKEECHOBEE WATERSHED¹

Wagner¹,

Tisdale²,

Zhang³

1996

J American Water Resour Assoc

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“…Even when models are claimed to be 'reliable' following audits, a very significant margin of error is allowed (e.g. Hartigan et al 1983).…”

Section: Introduction Motivationmentioning

confidence: 99%

Uncertainty and risk in water quality modelling and management

McIntyre

Wagener

Wheater

et al. 2003

Journal of Hydroinformatics

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The case is presented for increasing attention to the evaluation of uncertainty in water quality modelling practice, and for this evaluation to be extended to risk management applications. A framework for risk-based modelling of water quality is outlined and presented as a potentially valuable component of a broader risk assessment methodology. Technical considerations for the successful implementation of the modelling framework are discussed. The primary arguments presented are as follows. (1) For a large number of practical applications, deterministic use of complex water quality models is not supported by the available data and/or human resources, and is not warranted by the limited information contained in the results. Modelling tools should be flexible enough to be employed at levels of complexities which suit the modelling task, data and available resources. (2) Monte Carlo simulation has largely untapped potential for the evaluation of model performance, estimation of model uncertainty and identification of factors (including pollution sources, environmental influences and ill-defined objectives) contributing to the risk of failing water quality objectives. (3) For practical application of Monte Carlo methods, attention needs to be given to numerical efficiency, and for successful communication of results, effective interfaces are required. A risk-based modelling tool developed by the authors is introduced.

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“…2 During the last decade several models of NO-c and SO2 concentration distributions have been analyzed. Since the early contributions of Larsen,4 " 6 the lognormal distribution has been widely used as a universal model.…”

mentioning

confidence: 99%