A Comparison of Modelling Systems for the Development and Revision of Water Resources Management Plans

Koch, Hagen; Grünewald, Uwe

doi:10.1007/s11269-008-9333-x

Cited by 38 publications

(17 citation statements)

References 24 publications

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“…Loehman and Dinar 1994;Ansink and Ruijs 2008); ii) valuation methods (Viscusi et al 2008); iii) optimization models (e.g. Yaron 1979;Chakravorty et al 1995;Babel et al 2005;Qureshi et al 2008;Fisher 2008); and iv) integrated hydro-economic models (Rosegrant et al 2000;Cai et al 2003;Heinz et al 2007;Koch and Grünewald 2009;Prodanovic and Simonovic 2010). These models deal with water issues from different perspectives.…”

Section: Introductionmentioning

confidence: 99%

Economic Modelling for Water Quantity and Quality Management: A Welfare Program Approach

Zhu

Ierland

2012

Water Resour Manage

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This paper presents an integrated economic model which is able to explicitly address both water quantity and quality. We use a welfare program to maximize social welfare subject to the economic and ecological constraints, where interactions, emissions and environmental impacts are incorporated. Such a welfare program can provide the marginal values of commodities and therefore can price water by means of shadow pricing. The optimal solution to a specified program provides the optimal response strategies, i.e. the efficient allocation of resources in the economy including water use and the efficient level of water quality. We illustrate the mechanism in a numerical example and show, as an example, how we can achieve efficiency by reserving water in the high season for times of high demand in the low season and by introducing price differentiation between the two seasons.

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Section: Introductionmentioning

confidence: 99%

Economic Modelling for Water Quantity and Quality Management: A Welfare Program Approach

Zhu

Ierland

2012

Water Resour Manage

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“…Solutions on water resources system are often using optimization [9], [23], [24] and [30], such as linear programming (LP). In [9], [15], [20] and [30], optimation/simulation model is used to attain system operation decisions. In [24] both combinations produce an optimal solution, although it contains many variables.…”

Section: Model Structurementioning

confidence: 99%

The Performance of Equalization Model of Water Allocation Inter Irrigation Areas in River System

et al. 2018

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Abstract. In Indonesia, water is public goods so it is necessary to control water allocation. Inequity of water allocation between water users is expanding largely, including irrigation as the largest user, while the density of headworks in the river are getting higher. Considering that water is limited, the practice of irrigation water allocation needs to be refined, from the traditional equity to volumetric equity. MEQAA (Model Equalisasi Alokasi Air/Equalization Model of Water Allocation) plays a role in determining water sharing between headworks in order to meet the maximum-equal K-factor in river. MEQAA-Generic is a calculation machine with: analog-deterministic dynamic model; network equation according to mass balance and linear optimization; independent-based system; sustainability-efficiency-equity constraints; Ms. Excel-VBA. The inputs are: scheme system, local inflow, and irrigation demand. The outputs are: K-factor, release and ecosystem quote. The model performance is identified by comparing the output to the class of K-factor based on treatment of water distribution. The model test is performed in an uncontrolled and complicated system in Kukusan Tanggek watershed with 24 headworks in Lombok river basin. As long as it is adequate for water sharing, MEQAA-G can always produce maximum-equal K-factor. The output model is used to operation control.

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“…The input variables are time series, either calculated using precipitation runoff models or generated stochastically. Water use processes, such as the management of reservoirs or water extraction by power plants, are reproduced by deterministic means [29]. The time step is one month.…”

Section: Basic Models: Wbalmo Wabi and Wbalmo Spreewald Imentioning

confidence: 99%

Effects of Data and Model Simplification on the Results of a Wetland Water Resource Management Model

Dietrich

Schweigert

Steidl

et al. 2016

Water

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This paper presents the development of a wetland water balance model for use in a large river basin with many different wetlands. The basic model was primarily developed for a single wetland with a complex water management system involving large amounts of specialized input data and water management details. The aim was to simplify the model structure and to use only commonly available data as input for the model, with the least possible loss of accuracy. Results from different variants of the model and data adaptation were tested against results from a detailed model. This shows that using commonly available data and unifying and simplifying the input data is tolerable up to a certain level. The simplification of the model has greater effects on the evaluated water balance components than the data adaptation. Because this simplification was necessary for large-scale use, we suggest that, for reasons of comparability, simpler models should always be applied with uniform data bases for large regions, though these should only be moderately simplified. Further, we recommend using these simplified models only for large-scale comparisons and using more specific, detailed models for investigations on smaller scales.

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A Comparison of Modelling Systems for the Development and Revision of Water Resources Management Plans

Cited by 38 publications

References 24 publications

Economic Modelling for Water Quantity and Quality Management: A Welfare Program Approach

Economic Modelling for Water Quantity and Quality Management: A Welfare Program Approach

The Performance of Equalization Model of Water Allocation Inter Irrigation Areas in River System

Effects of Data and Model Simplification on the Results of a Wetland Water Resource Management Model

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