Water quality modeling under hydrologic variability and parameter uncertainty using erosion-scaled export coefficients

Khadam, Ibrahim M.; Kaluarachchi, Jagath J.

doi:10.1016/j.jhydrol.2006.03.033

Cited by 41 publications

(26 citation statements)

References 26 publications

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“…[12] The integrated model uses the erosion-scaled export coefficients developed by Khadam and Kaluarachchi [2006] to model the P-loading from each watershed outlet. The erosion-scaled export coefficients have the ability to represent hydrologic variability that has considerable impact on nutrient loading.…”

Section: P-loading Modelmentioning

confidence: 99%

“…P-application rates and an erosion-scaled export coefficient model for the Fishtrap Creek catchment were developed by Khadam and Kaluarachchi [2006] and are summarized in Tables 1 -3. A streamflow model of Fishtrap Creek catchment was developed by Khadam and Kaluarachchi [2004].…”

Section: Water Quality Datamentioning

confidence: 99%

“…Uncertainty of erosion-scaled export coefficients reflects the uncertainty in the knowledge about the contribution of each nonpoint source. Khadam and Kaluarachchi [2006] developed estimates of the uncertainty of export coefficient K for agriculture and dairy land use classes. They found that the contribution of export coefficients uncertainty dominates the overall uncertainty in export coefficients predictions.…”

Section: Parameter Uncertaintymentioning

confidence: 99%

“…Therefore reducing export coefficients uncertainty is critical to improve overall uncertainty of the allocation framework outcomes. The uncertainty in export coefficients is caused by limited availability of monitoring data, which can be improved by adopting a longitudinal data collection scheme [Khadam and Kaluarachchi, 2006].…”

Section: Parameter Uncertaintymentioning

confidence: 99%

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Trade‐offs between cost minimization and equity in water quality management for agricultural watersheds

Khadam

Kaluarachchi

2006

Water Resources Research

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[1] Allocation of pollution control responsibilities is an important problem in environmental economics. Previous research has developed the least-cost formulation that addresses both cost efficiency and hydrologic uncertainty. However, the least-cost formulation does not explicitly consider the distribution of pollution control responsibilities that has a serious implication on equity. A theoretical framework for evaluating the trade-offs between cost efficiency and equity is developed in this work. In this paper the efficiency equity curve that defines the cost of achieving equity is developed. It also evaluates the impacts of hydrologic variability and parameter uncertainty on the trade-off between cost efficiency and equity, and the impacts of the choice of equity criteria on phosphorus management decisions. A demonstration example is also presented that analyzed phosphorus management in the Fishtrap Creek catchment and the lower Nooksack River basin located in northwestern Washington State.Citation: Khadam, I. M., and J. J. Kaluarachchi (2006), Trade-offs between cost minimization and equity in water quality management for agricultural watersheds, Water Resour. Res., 42, W10404,

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Section: P-loading Modelmentioning

confidence: 99%

Section: Water Quality Datamentioning

confidence: 99%

Section: Parameter Uncertaintymentioning

confidence: 99%

Section: Parameter Uncertaintymentioning

confidence: 99%

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Trade‐offs between cost minimization and equity in water quality management for agricultural watersheds

Khadam

Kaluarachchi

2006

Water Resources Research

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“…Water quality characteristics are components that considered the necessity of water resource management and the health of aquifer areas (Khadam and Kaluarachchi 2006). Nowadays, the water quality is the main issue in the case of surface water.…”

Section: Introductionmentioning

confidence: 99%

Surveying drinking water quality (Balikhlou River, Ardabil Province, Iran)

et al. 2018

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Considering the importance of Balikhlou River as one of the most important water sources of Ardabil, Nir and Sarein cities, maintaining water quality of this river is the most important goals in provincial and national levels. This river includes a wide area that provides agricultural, industrial and drinking water for the residents. Thus, surveying the quality of this river is important in planning and managing of region. This study examined the quality of river through eight physicochemical parameters (SO 4 , No 3 , BOD 5 , TDS, turbidity, pH, EC, COD) in two high-and low-water seasons by international and national standards in 2013. For this purpose, a review along the river has been done in five stations using t test and SPSS software. Model results showed that the amount difference in TDS and EC with WHO standards, and TDS rates with Iran standards in low-water seasons, pH and EC with WHO standards in high-water seasons, is not significant in high-water season; but for pH and SO 4 parameters, turbidity and NO 3 in both standards and EC value with WHO standard in low-water season and pH, EC, SO 4 parameters and turbidity and NO 3 in high-water season have significant difference from 5 to 1%, this shows the ideal limit and lowness of parameters for different usage.

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Processes affecting transfer of sediment and colloids, with associated phosphorus, from intensively farmed grasslands: a critical note on modelling of phosphorus transfers

Krueger

Freer

Quinton

et al. 2007

Hydrological Processes

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In this commentary we are concerned with mathematical models of phosphorus transfers from agricultural land, particularly intensive grassland, to receiving waters (Haygarth et al., 2006). We believe that the complexity of this problem requires an initially wide discussion of possible modelling concepts and the associated benefits or problems with these approaches. Hence we are reluctant to break the phosphorus-modelling problem down to smaller scales or detailed levels of complexity, e.g. sediments/colloids, which is the main concern of previous papers in this series of commentaries. However, many aspects of the following discussion could be applied equally to sub-elements of the phosphorus-modelling problem as well as wider environmental modelling applications.Two objectives justify the building of mathematical phosphorus transfer models: (1) they formalize our knowledge about the system under study and in this way they act as vehicles for testing our understanding of phosphorus transfers; and (2) they may allow quantitative predictions under changing and complex environmental conditions. In the light of international legislation such as the EU Water Framework Directive (2000/60/EC), it is increasingly important to predict the impacts of land management practises and measures for mitigating diffuse pollution. This, however, requires a confidence in the process formulation (be it empirically or physically-based) and a predictive capability of models, which may not be justified in many cases, especially where there are limited observational data available to develop, test and drive model assumptions.In the previous papers of this series of commentaries, we learned that our perceptual understanding of phosphorus, sediment and colloid transfers from intensive grasslands is far from perfect (Bilotta et al., 2007; Gimbert et al., 2007; Granger et al., 2007; Haygarth et al., 2006). However, this perceptual understanding is (and will always be) better than our translation of these perceptions into conceptual and, finally, procedural models. 1 Two main approaches to modelling the phosphorus transfer problem can be identified from the literature: (1) empirical phosphorus export models to calculate annual or seasonal loads (this includes empirical risk assessment techniques); and (2) process-orientated phosphorus models to simulate storm dynamics. This includes conceptual and physically-based models 2 (Table I). In the following sections, we highlight a few critical points regarding these approaches and, finally, 1 Here we refer to the three classic steps of model development: the 'perceptual model' is our qualitative understanding of system behaviour, the 'conceptual model' comprises the mathematical equations to describe this behaviour, and the 'procedural model' is the computer code to run the actual simulations. Note the term 'conceptual model' is also used with a different notion later in this paper, referring to a mathematical model class of intermediate complexity. 2 The classification of models by the degree of c...

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Water quality modeling under hydrologic variability and parameter uncertainty using erosion-scaled export coefficients

Cited by 41 publications

References 26 publications

Trade‐offs between cost minimization and equity in water quality management for agricultural watersheds

Trade‐offs between cost minimization and equity in water quality management for agricultural watersheds

Surveying drinking water quality (Balikhlou River, Ardabil Province, Iran)

Processes affecting transfer of sediment and colloids, with associated phosphorus, from intensively farmed grasslands: a critical note on modelling of phosphorus transfers

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