Towards a Comprehensive Valuation of Water Management Projects When Data Availability Is Incomplete—The Use of Benefit Transfer Techniques

Ahlheim, Michael; Frör, Oliver; Luo, Jing; Pelz, Sonna; Jiang, Tong

doi:10.3390/w7052472

Cited by 7 publications

(6 citation statements)

References 27 publications

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“…The amount of WTP is not visible for goods such as environmental goods because these goods are not traded in the market. Due to the lack of a market for the sale of these goods, as well as the special structure of these goods, researchers have to resort to unique methods to calculate WTP (Ahlheim et al 2015).…”

Section: Methodsmentioning

confidence: 99%

“…The sample evaluated in this research by CVM method is a representative for all existing projects in the field of environmental goods (Ahlheim et al 2015). In order to determine the sample size, the method introduced by Carson and Mitchell (1993) was used.…”

Section: Methodsmentioning

confidence: 99%

“…In recent years, scientists have combined the two methods of TCM and CVM and taken steps to value natural and environmental resources (Blakemore & William 2008;Loomis et al 2008;Yi et al 2016). In order to evaluate the TEV index for environmental and natural resources projects, the CVM method is the best option available (Ahlheim et al 2015). In order to focus on users of natural and environmental goods, TCM or HPM methods are highly recommended, but if the use is passive, these two methods will not be suitable (Ahlheim & Frör 2003).…”

Section: Monetary Landscape Valuationmentioning

confidence: 99%

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Landscape valuation of historical tourism site in Northern Iran: A case study from Sheikh-Zahed Tomb

2021

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In Iran, the importance of landscapes and the need to preserve these unique assets is not particularly recognized especially at tourism and environmental sites. This study investigated the landscape valuation of Sheikh-Zahed Tomb in Northern Iran. The contingent valuation method (CVM), which is based on a survey model, was used to assess visitors’ willingness to pay (WTP) in order to preserve the landscape. The data used in this study were collected though face-to-face interviews with 157 visitors to a historic tomb in the first half of 2019. The results indicate that the average of respondents’ WTP to preserve the landscape was 0.47 $ per year. The annual total economic value (TEV) of the landscape is estimated to be 11 960 782 $. Respondents’ age, monthly income of the respondent’s household, the tomb accessibility, the tomb architectural attraction, and proposed price for the landscape preservation had significant effects on WTP. Proposed empirical model (CVM) provides a comprehensive framework for illustrating landscape valuation of natural heritages and historical tourism sites globally as well as in Iran. Highlights for public administration, management and planning: • The evaluation of landscape values of historical site of Sheikh-Zahed tomb (Iran) for visitors is presented. • Both types of qualitative and quantitative variables affect WTP of visitors for the landscape preservation. • Among the key factors, the accessibility to the landscape affects its value for visitors, and the pristine and original landscape of the tomb is important for visitors.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Monetary Landscape Valuationmentioning

confidence: 99%

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Landscape valuation of historical tourism site in Northern Iran: A case study from Sheikh-Zahed Tomb

2021

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“…The problem of managing lost data is ubiquitous in many situations and is especially challenging when it manifests itself in long bursts. Dealing with incomplete data is very common in real-life cases, and it is usual to find such cases in water [1] and hydrological data management [2][3][4]. The current work used data from the Drinking Water Treatment Station (DWTS) of Aigües de Vic S.A. For this purpose, data from several DWTS sensors that are stored by the SCADA system in a database were analyzed.…”

Section: Introductionmentioning

confidence: 99%

Different Approaches to SCADA Data Completion in Water Networks

Martí-Puig

Martí-Sarri

Serra-Serra

2019

Water

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This work contributes to the techniques used for SCADA (Supervisory Control and Data Acquisition) system data completion in databases containing historical water sensor signals from a water supplier company. Our approach addresses the data restoration problem in two stages. In the first stage, we treat one-dimensional signals by estimating missing data through the combination of two linear predictor filters, one working forwards and one backwards. In the second stage, the data are tensorized to take advantage of the underlying structures at five minute, one day, and one week intervals. Subsequently, a low-range approximation of the tensor is constructed to correct the first stage of the data restoration. This technique requires an offset compensation to guarantee the continuity of the signal at the two ends of the burst. To check the effectiveness of the proposed method, we performed statistical tests by deleting bursts of known sizes in a complete tensor and contrasting different strategies in terms of their performance. For the type of data used, the results show that the proposed data completion approach outperforms other methods, the difference becoming more evident as the size of the bursts of missing data grows.

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“…In practice, when processing this amount of information, the problem of incomplete or missing data has to be addressed. The management of data from water networks [1] or from hydrological resources [2][3][4] is no exception. The problem of data loss is especially challenging when it occurs in long bursts of consecutive values.…”

Section: Introductionmentioning

confidence: 99%

Double Tensor-Decomposition for SCADA Data Completion in Water Networks

Martí-Puig

Martí-Sarri

Serra-Serra

2019

Water

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Supervisory Control And Data Acquisition (SCADA) systems currently monitor and collect a huge among of data from all kind of processes. Ideally, they must run without interruption, but in practice, some data may be lost due to a sensor failure or a communication breakdown. When it happens, given the nature of these failures, information is lost in bursts, that is, sets of consecutive samples. When this occurs, it is necessary to fill out the gaps of the historical data with a reliable data completion method. This paper presents an ad hoc method to complete the data lost by a SCADA system in case of long bursts. The data correspond to levels of drinking water tanks of a Water Network company which present fluctuation patterns on a daily and a weekly scale. In this work, a new tensorization process and a novel completion algorithm mainly based on two tensor decompositions are presented. Statistical tests are realised, which consist of applying the data reconstruction algorithms, by deliberately removing bursts of data in verified historical databases, to be able to evaluate the real effectiveness of the tested methods. For this application, the presented approach outperforms the other techniques found in the literature.

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Towards a Comprehensive Valuation of Water Management Projects When Data Availability Is Incomplete—The Use of Benefit Transfer Techniques

Abstract: Abstract:In this paper we deal with the problem of missing data

Cited by 7 publications

References 27 publications

Landscape valuation of historical tourism site in Northern Iran: A case study from Sheikh-Zahed Tomb

Landscape valuation of historical tourism site in Northern Iran: A case study from Sheikh-Zahed Tomb

Different Approaches to SCADA Data Completion in Water Networks

Double Tensor-Decomposition for SCADA Data Completion in Water Networks

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