Locating suitable sites for the construction of subsurface dams using GIS

Jamali, Imran Ali; Olofsson, Bo; Mörtberg, Ulla

doi:10.1007/s12665-013-2295-1

Cited by 43 publications

(20 citation statements)

References 34 publications

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“…A major indicator of percolation rate is lithology, which determines the quality of a drainage network. The structure of a drainage network helps gauge the characteristics of a water holding zone [19]. The drainage density of the study area ranges from 0 to 0.58 per km 2 (Figure 3c).…”

Section: Data Usedmentioning

confidence: 99%

“…Nevertheless, the fuzzy model produced suitable results for clustered areas. Another study conducted for the Boda-Kalvsvik Island in Sweden implemented the weighted overlay analysis technique on layers including precipitation, evapotranspiration, potential recharge, piezometric level and geological and geomorphological layers [19]. The study was validated using the topographic wetness index method and groundwater balance.…”

Section: Introductionmentioning

confidence: 99%

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Dam Site Suitability Mapping and Analysis Using an Integrated GIS and Machine Learning Approach

Al‐Ruzouq

Shanableh

Yilmaz

et al. 2019

Water

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: Meeting water demands is a critical pillar for sustaining normal human living standards, industry evolution and agricultural growth. The main obstacles for developing countries in arid regions include unplanned urbanisation and limited water resources. Locating and constructing dams is a strategic priority of countries to preserve and store water. Recent advances in remote sensing, geographic information system (GIS), and machine learning (ML) techniques provide valuable tools for producing a dam site suitability map (DSSM). In this research, a hybrid GIS decision-making technique supported by an ML algorithm was developed to identify the most appropriate location to construct a new dam for Sharjah, one of the major cities in the United Arab Emirates. Nine thematic layers have been considered to prepare the DSSM, including precipitation, drainage stream density, geomorphology, geology, curve number, total dissolved solid elevation, slope and major fracture. The weights of the thematic layers were determined through the analytical hierarchy process supported by several ML techniques, where the best attempted ML technique was the random forest method, with an accuracy of 76%. Precipitation and drainage stream density were the most influential factors affecting the DSSM. The developed DSSM was validated using existing dams across the study area, where the DSSM provides an accuracy of 83% for dams located in the high and moderate zones. Three major sites were identified as suitable locations for constructing new dams in Sharjah. The approach adopted in this study can be applied for any other location globally to identify potential dam construction sites.

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Section: Data Usedmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Dam Site Suitability Mapping and Analysis Using an Integrated GIS and Machine Learning Approach

Al‐Ruzouq

Shanableh

Yilmaz

et al. 2019

Water

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show abstract

“…However, in order to estimate the volumes of ripped and/or excavated material using Assumption 2, with stratigraphy, six typical patterns were assumed based on expert knowledge (Fig. 8) and patterns found in Jamali et al 2013: 1. Rock: In the case where the surface consisted of rock outcrops (pattern 1, Fig.…”

Section: Processing Stepsmentioning

confidence: 99%

Life cycle assessment in road infrastructure planning using spatial geological data

Karlsson

Miliutenko

Björklund

et al. 2017

Int J Life Cycle Assess

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Purpose The purpose of the study was to outline and demonstrate a new geographic information system (GIS)-based approach for utilising spatial geological data in three dimensions (i.e. length, width and depth) to improve estimates on earthworks during early stages of road infrastructure planning. Methods This was undertaken by using three main methodological steps: mass balance calculation, life cycle inventory analysis and spatial mapping of greenhouse gas (GHG) emissions and energy use. The mass balance calculation was undertaken in a GIS environment using two assumptions of geological stratigraphy for two proposed alternative road corridors in Sweden. The estimated volumes of excavated soil, blasted rock and filling material were later multiplied with the GHG emission and energy use factors for these processes, to create spatial data and maps in order to show potential impacts of the studied road corridors. The proposed GISbased approach was evaluated by comparing with actual values received after one alternative was constructed. Results and discussionThe results showed that the estimate of filling material was the most accurate (about 9 % deviation from actual values), while the estimate for excavated soil and blasted rock resulted in about 38 and 80 % deviation, respectively, from the actual values. It was also found that the total volume of excavated and ripped soils did not change when accounting for stratigraphy. Conclusions The conclusion of this study was that more information regarding embankment height and actual soil thickness would further improve the model, but the proposed GIS-based approach shows promising results for usage in LCA at an early stage of road infrastructure planning. Thus, by providing better data quality, GIS in combination with LCA can enable planning for a more sustainable transport infrastructure.

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“…Segundo Kim (2017), 6 barragens subterrâneas são operadas na Correia desde a década de 80, a maioria construída no início da mesma década. Experiências na região de Boda-Kalvsvik, na Suécia, buscaram através de ferramentas GIS e sensoriamento remoto localizar possíveis áreas para a construção desse tipo de barragem (JAMALI et al, 2013 (JACOMINE et al, 1975). Os solos em Sergipe podem ser de mais de 122 classes diferentes, variando entre areias quartzosas nas faixas litorâneas, litólitos eutróficos no sertão, entre outros (JACOMINE et al, 1975 (Freitas, 2010).…”

Section: Considerações Gerais Sobre As Barragens Subterrâneasunclassified

Propriedades Físicas De Um Argissolo Vermelho Amarelo Submetido a Usos Agrícolas Distintos

Santos¹,

Massaranduba²,

Santos³

et al. 2019

Gestão De Recursos Hídricos E Sustentabilidade 4

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Revisão: Os Autores O conteúdo dos artigos e seus dados em sua forma, correção e confiabilidade são de responsabilidade exclusiva dos autores. Permitido o download da obra e o compartilhamento desde que sejam atribuídos créditos aos autores, mas sem a possibilidade de alterá-la de nenhuma forma ou utilizá-la para fins comerciais. Conselho Editorial Ciências Humanas e Sociais Aplicadas Gestão de Recursos Hídricos e Sustentabilidade 4 Capítulo 1

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Locating suitable sites for the construction of subsurface dams using GIS

Cited by 43 publications

References 34 publications

Dam Site Suitability Mapping and Analysis Using an Integrated GIS and Machine Learning Approach

Dam Site Suitability Mapping and Analysis Using an Integrated GIS and Machine Learning Approach

Life cycle assessment in road infrastructure planning using spatial geological data

Propriedades Físicas De Um Argissolo Vermelho Amarelo Submetido a Usos Agrícolas Distintos

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