Extended fuzzy analytic hierarchy process approach in water and environmental management (case study: Lake Urmia Basin, Iran)

Azarnivand, Ali; Hashemi-Madani, Farkhondeh Sadat; Banihabib, Mohammad Ebrahim

doi:10.1007/s12665-014-3391-6

Cited by 72 publications

(24 citation statements)

References 58 publications

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“…Precipitation reduction, temperature increase, agricultural development including construction of man-made dams and building a causeway across the lake have been identified as the main reasons for the degradation of Lake Urmia (Abbaspour and Nazaridoust, 2007;Zeinoddini et al, 2009;Delju et al, 2012;Jalili et al, 2012;Sima and Tajrishy, 2013;Fathian et al, 2014;Farajzadeh et al, 2014;Banihabib et al, 2015;AghaKouchak et al, 2015;Azarnivand et al, 2015;Alizadeh-Choobari et al, 15 2016;Ghale et al, 2018). Using Gravity Recovery And Climate Experiment (GRACE) satellite observations, altimetry data for Lake Urmia and outputs of the Global Land Data Assimilation System (GLDAS), Forootan et al (2014) estimated the trend of groundwater storage changes in the Lake Urmia basin as -11.2 mm/yr between the years of 2005 to 2011, the largest decrease of the six investigated Iranian basins.…”

Section: Introductionmentioning

confidence: 99%

Quantifying the impacts of human water use and climate variations on recent drying of Lake Urmia basin: the value of different sets of spaceborne and in-situ data for calibrating a hydrological model

Hosseini‐Moghari¹,

Araghinejad²,

Tourian³

et al. 2018

Preprint

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Abstract. During the last decades, the endorheic Lake Urmia basin in northwestern Iran has suffered from decreased precipitation, groundwater levels and a very strong reduction in the volume and more recently also in the extent of Lake Urmia.Human water use has exacerbated the desiccating impact of climatic variations. This study quantifies the contribution of human water use to the reduction of inflow into Lake Urmia, to the loss of lake water volume and to the loss of groundwater and total water storage in the entire Lake Urmia basin during [2003][2004][2005][2006][2007][2008][2009][2010][2011][2012][2013]. To this end, the WaterGAP Global Hydrology Model (WGHM) 15 was manually calibrated specifically for the basin against multiple in-situ and spaceborne data, and the best-performing calibration variant was run with or without taking into account water use. Observation data encompass remote-sensing based time series of annual irrigated area in the basin from MODIS, monthly total water storage anomaly (TWSA) from GRACE satellites and monthly lake volume. In-situ observations include time series of annual inflow into the lake and basin averages of groundwater level variations based on 284 wells. In addition, local estimates of sectoral water withdrawals in 2009 and 20 return flow fractions were utilized. Four calibration variants were set up in which the number of considered observation types was increased in a stepwise fashion. The best fit to each and all observations is achieved if the maximum amount of observations is used for calibration. Calibration against GRACE TWSA improves simulated inflow into Lake Urmia but still overestimates it by 90%; it results in an overestimation of lake volume loss, underestimation of groundwater loss and a shifted seasonality of groundwater storage. Lake and groundwater dynamics can only be simulated well if calibration against 25 groundwater levels leads to adjusting the fractions of human water use from groundwater and surface water. According to our study, human water use was the reason for 50% of the total basin water loss of about 10 km 3 during 2003-2013, for 40% of the Lake Urmia water loss of about 8 km 3 and for up to 90% of the groundwater loss. Lake inflow was 40% less than it would have been without human water use. We found that even without human water use, Lake Urmia would not have recovered from the significant loss of lake water volume caused by the drought year 2008. These findings may serve to support water 30 management in the basin and more specifically Lake Urmia restoration plans.Hydrol. Earth Syst. Sci. Discuss., https://doi

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Section: Introductionmentioning

confidence: 99%

Quantifying the impacts of human water use and climate variations on recent drying of Lake Urmia basin: the value of different sets of spaceborne and in-situ data for calibrating a hydrological model

Hosseini‐Moghari¹,

Araghinejad²,

Tourian³

et al. 2018

Preprint

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“…Azarnivand et al . () summarized six SDC for water resource management strategy evaluation by reviewing the literature in the sustainability field. These criteria cover the environmental, technical, social and economical aspects, as shown in Table .…”

Section: Methodsmentioning

confidence: 99%

“…Ho () appraised the application of a combination of the analytic hierarchy process (AHP) model and SWOT analysis (which has been conducted by researchers from 1997 to 2006 in various fields such as trade, environment, industry and agriculture) and concluded that the combination of these methods leads to better strategic planning. The numerous application of MCDMs in water resource management also shows that these methods are appropriate tools for decision making in water resource management (Abrishamchi et al ., ; Azarnivand et al ., , Banihabib et al ., ; Chen and Paydar, ; Giupponi, ). Chen et al .…”

Section: Introductionmentioning

confidence: 99%

A Framework for Sustainable Strategic Planning of Water Demand and Supply in Arid Regions

Banihabib

Hashemi

Shabestari

2016

Sustainable Development

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This paper addresses strategic planning of water resources in an arid region based on sustainable development criteria (SDC). Three multi‐criteria decision‐making (MCDM) models, simple additive weighting (SAW), the analytic hierarchy process (AHP) and the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), were used for detailed ranking of the strategies and assessing the result of the Quantitative Strategic Planning Matrix (QSPM). The results of the MCDM models were not identical, so we used aggregation approaches including mean rank, Borda count and Copeland's methods to integrate rankings. The results of sensitivity analysis revealed that all MCDM models were sensitive to the social and environmental criteria. The SAW and AHP models were also less sensitive to changes in criterion weights than the TOPSIS model. The results showed the priority of the MCDM models over QSPM analysis in incorporating SDC in detailed evaluation of the strategies. Copyright © 2016 John Wiley & Sons, Ltd and ERP Environment

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“…Znajduje zastosowanie także w obszarach związanych z inżynierią śro-dowiska, przykładowo w celu diagnostyki stanu sektora odnawialnych źródeł energii [10,11], oceny metod zapobiegania zanieczyszczeniom środowiska [28,31] czy efektywnego zarządzania zasobami wodnymi [3,12]. W przypadku gospodarki wodami opadowymi wykorzystanie analizy SWOT wciąż należy jednak do rzadkości i ogranicza się głównie do systemów gospodarczego wykorzystania wód deszczowych [15].…”

Section: Metodyka Badańunclassified

Analiza Swot Zastosowania Systemów Infiltracji Wód Opadowych Na Terenie Osiedli Mieszkaniowych

Kordana¹,

Słyś²

2016

ZNPRzBiS

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Obserwowany współcześnie dynamiczny rozwój sektorów budownictwa i transportu powoduje sukcesywne zwiększanie się udziału powierzchni utwardzonych w całkowitej powierzchni zlewni. Następstwem tego procesu jest wzrost ilości wód deszczowych ujmowanych w systemy kanalizacji krytej i odprowadzanych do odbiornika, co skutkuje częstym przeciążaniem istniejących kolektorów kanalizacyjnych oraz pogorszeniem stanu rzek. Zapobieganie tym zjawiskom jest możliwe tylko w przypadku stosowania zrównoważonych systemów zagospodarowania wód opadowych, do których zaliczane są między innymi systemy infiltracyjne. Możliwości aplikacji urządzeń rozsączających wody deszczowe są jednak uzależ-nione od szeregu czynników, takich jak warunki gruntowo-wodne czy charakterystyka ilościowa i jakościowa odprowadzanego do gruntu medium. W celu określe-nia strategii rozwoju systemów przeznaczonych do infiltracji wód opadowych przeprowadzono analizę mocnych i słabych stron tych systemów, jak również potencjalnych szans i zagrożeń wynikających z ich implementacji na terenie osiedli mieszkaniowych. Jako narzędzie wykorzystano analizę SWOT/TOWS, będącą jedną z metod planowania strategicznego. Przeprowadzone badania wskazują na duży potencjał rozpatrywanych systemów, który wynika ze sprzyjających ich rozwojowi szans, co powoduje potrzebę możliwie największego wykorzystania tych szans przy pomocy mocnych stron systemów infiltracyjnych. Aby było to możli-we, konieczne jest jednak podjęcie działań ukierunkowanych na osłabienie wad systemów infiltracyjnych oraz rozwój świadomości ekologicznej mieszkańców, gdyż tylko kompleksowe podejście do kwestii rozsączania wód deszczowych pozwoli w pełni wykorzystać atuty urządzeń infiltracyjnych.

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Extended fuzzy analytic hierarchy process approach in water and environmental management (case study: Lake Urmia Basin, Iran)

Cited by 72 publications

References 58 publications

Quantifying the impacts of human water use and climate variations on recent drying of Lake Urmia basin: the value of different sets of spaceborne and in-situ data for calibrating a hydrological model

Quantifying the impacts of human water use and climate variations on recent drying of Lake Urmia basin: the value of different sets of spaceborne and in-situ data for calibrating a hydrological model

A Framework for Sustainable Strategic Planning of Water Demand and Supply in Arid Regions

Analiza Swot Zastosowania Systemów Infiltracji Wód Opadowych Na Terenie Osiedli Mieszkaniowych

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