Models Quantify the Total Maximum Daily Load Process

DePinto, Joseph V.; Freedman, Paul L.; Dilks, David M.; Larson, Wendy M.

doi:10.1061/(asce)0733-9372(2004)130:6(703)

Cited by 33 publications

(21 citation statements)

References 3 publications

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“…However, this method does not involve the fate and transport of pollutant of interest (Cleland 2002(Cleland , 2003. In general, for solving a management problem, it is more sensible to use a simpler model based on limited available resources than a complex model (DePinto et al 2004).…”

Section: Introductionmentioning

confidence: 99%

TMDL development for the Taihu Lake’s influent rivers, China using variable daily load expressions

Wang

2015

Stoch Environ Res Risk Assess

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Influent river carrying nutrient pollutants from watershed loads makes a great contribution to the eutrophication in river-fed lake. It is scientific standard to make policies on river pollution control based on loading capacity of the river of interest. To control eutrophication in Taihu Lake has been the focal point of ''The Twelfth Five-Year Guideline'' proposed by Chinese government. The Taigeyunhe, Caoqiaohe and Yincungang Rivers which were the most polluted influent rivers in Taihu Lake Basin were scheduled for nutrient total maximum daily load (TMDL). A variety of mechanistic and empirical models are applied worldwide for TMDL development. However, model selection depends on management objectives, sitespecific characteristics and availability of data resource. In this study, based on watershed characteristics and limited data, a nutrient TMDL is developed using flow and temporally variable daily load expressions. The simple and effective approaches specify allowable daily maximum loads for controlling on instantaneous high load and allowable daily median loads for achieving long-term TMDL allocation. For the entire river system, loading capacities are much lower during low flows. The maximum percent load reductions for biochemical oxygen demand, ammonia nitrogen, total nitrogen in spring and total phosphorus in winter can be obtained when pollution source inputs seasonally vary. This study provides local authority with two different alternatives in decision-making for pollution control on influent rivers and then to reduce external loads to the lake.

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Section: Introductionmentioning

confidence: 99%

TMDL development for the Taihu Lake’s influent rivers, China using variable daily load expressions

Wang

2015

Stoch Environ Res Risk Assess

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“…Water 2016, 8,541 12 of 14 they have high total pollution loads, a high percentage of point pollution sources, and high pollution loads per land area. At this stage, the subwatersheds with high potential pollution were identified.…”

Section: Pollution Control Strategies and Their Performances For Imprmentioning

confidence: 99%

“…At least three quantification process are required: the calculation of point and nonpoint pollution source emissions, the determination of the allowable maximum loads of the receiving waterbody, and the associations between the pollution source emissions and water quality in the receiving waterbody. Mathematical models often play an important role in TMDL processes [7,8]. In general, dynamic models, load duration curves, general watershed models, and export coefficients are commonly used to develop TMDLs [9].…”

Section: Introductionmentioning

confidence: 99%

Using Exceedance Probability to Determine Total Maximum Daily Loads for Reservoir Water Quality Management

Chen

Tsai

Fan

et al. 2016

Water

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Abstract:Total maximum daily loads (TMDLs) are used to protect water bodies based on their assimilative ability and are transferred as a maximum allowable load, which is the sum of all pollution emissions in a watershed that cannot be exceeded. This allowable load is calculated from a target water quality concentration and a flow state. The target water quality concentration is typically consistent with water quality standards; however, it is difficult to determine which flow state to use, especially for lakes and reservoirs. In this study, an exceedance probability method is established for determining the TMDL for reservoirs. The SWMM (Storm Water Management Model) was used to understand the pollution loads from the watershed, and the Vollenweider model was used to simulate the total phosphorous (TP) concentrations in the reservoir. Using the validated Vollenweider model, the relationship between pollution loads and the target TP concentration is illustrated. This relationship is associated with real changes in the reservoir water volume and is presented as the exceedance probability. In the study area (i.e., the Shiman Reservoir in Taiwan), an exceedance probability of 50% is suggested, and the allowable TP load is 22,209 kg/year when considering a target TP concentration of 20 µg/L. When considering effective management, the pollution sources in three hot spots are priorities, and controlling their point and nonpoint pollution sources can decrease TP from 25 to 22 µg/L.

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“…A transparent process of uncertainty analysis is important for stakeholders involved in target load setting processes (DePinto et al 2004), including all inputs and assumptions. However, both SedNet/ANNEX and ChloroSim are deterministic models and, while it is generally understood that these models have high degrees of uncertainty, quantitative uncertainty estimates are not part of either models' output.…”

Section: Model Components Of Target Settingmentioning

confidence: 99%

Target setting for pollutant discharge management of rivers in the Great Barrier Reef catchment area

Brodie

Lewis

Bainbridge

et al. 2009

Mar. Freshwater Res.

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Abstract. Water Quality Improvement Plans (WQIPs) are being developed for individual river basins on the Great Barrier Reef (GBR) catchment associated with the GBR Water Quality Protection Plan. Within each WQIP, marine ecosystem targets are linked to end-of-river pollutant (suspended sediments, nutrients and pesticides) load targets and to farm level management practice targets. The targets are linked through quantitative models; e.g. one model connects GBR chlorophyll concentrations (marine target) to end-of-river nitrate loads, a second connects the end-of-river nitrate loads to fertiliser management targets in the catchment, whereas a third model links fertiliser application to nitrate loss at the farm scale. The difficulties of applying these linked models to derive credible and practical management targets are great, given the high degree of uncertainty in each model. Our understanding of the generation of suspended sediments, nutrients and pesticides in catchments and the relationship to on-farm management, the transport of these materials to the ocean, their transport in coastal waters and their effects on marine ecosystems is incomplete. The challenge is to produce estimates from the models, with known levels of uncertainty, but robust enough for management purposes. Case studies from the Tully-Murray basin and the Burdekin basin in north Queensland are discussed.

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Models Quantify the Total Maximum Daily Load Process

Cited by 33 publications

References 3 publications

TMDL development for the Taihu Lake’s influent rivers, China using variable daily load expressions

TMDL development for the Taihu Lake’s influent rivers, China using variable daily load expressions

Using Exceedance Probability to Determine Total Maximum Daily Loads for Reservoir Water Quality Management

Target setting for pollutant discharge management of rivers in the Great Barrier Reef catchment area

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