GIS-based hydrogeological databases and groundwater modelling

Gogu, Radu Constantin; Carabin, Guy; Hallet, Vincent; Peters, Valérie; Dassargues, Alain

doi:10.1007/s10040-001-0167-3

Cited by 150 publications

(74 citation statements)

References 5 publications

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“…A dinâmica do lençol freático tem sido explicada de diversas formas, e a relação entre precipitação, evapotranspiração e níveis freáticos pode ser descrita por diversos tipos de modelos de séries temporais (Tankersley & Graham, 1994;Van Geer & Zuur, 1997;Yi & Lee, 2004 (Cogu et al, 2001). Goovaerts & Kerry (2010) relataram o uso de variáveis auxiliares para melhorar estimativas de propriedades do solo e de produção, ao diminuir a variância dos dados, com menores custos.…”

Section: Resultsunclassified

Integração de modelos espaciais e temporais para predições de níveis freáticos extremos

Manzione

Marcuzzo

Wendland

2012

Pesq. agropec. bras.

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Resumo -O objetivo deste trabalho foi avaliar cenários de níveis freáticos extremos, em bacia hidrográfica, por meio de métodos de análise espacial de dados geográficos. Avaliou-se a dinâmica espaço-temporal dos recursos hídricos subterrâneos em área de afloramento do Sistema Aquífero Guarani. As alturas do lençol freático foram estimadas por meio do monitoramento de níveis em 23 piezômetros e da modelagem das séries temporais disponíveis de abril de 2004 a abril de 2011. Para a geração de cenários espaciais, foram utilizadas técnicas geoestatísticas que incorporaram informações auxiliares relativas a padrões geomorfológicos da bacia, por meio de modelo digital de terreno. Esse procedimento melhorou as estimativas, em razão da alta correlação entre altura do lençol e elevação, e agregou sentido físico às predições. Os cenários apresentaram diferenças quanto aos níveis considerados extremos -muito profundos ou muito superficiais -e podem subsidiar o planejamento, o uso eficiente da água e a gestão sustentável dos recursos hídricos na bacia.Termos para indexação: água subterrânea, geoestatística, geoinformação, gestão de recursos hídricos, incertezas, modelo digital de terreno. Integration of spatial and temporal models to predict extreme water table depthsAbstract -The objective of this work was to evaluate extreme water table depths in a watershed, using methods for geographical spatial data analysis. Groundwater spatio-temporal dynamics was evaluated in an outcrop of the Guarani Aquifer System. Water table depths were estimated from monitoring of water levels in 23 piezometers and time series modeling available from April 2004 to April 2011. For generation of spatial scenarios, geostatistical techniques were used, which incorporated into the prediction ancillary information related to the geomorphological patterns of the watershed, using a digital elevation model. This procedure improved estimates, due to the high correlation between water levels and elevation, and aggregated physical sense to predictions. The scenarios showed differences regarding the extreme levels -too deep or too shallow ones -and can subsidize water planning, efficient water use, and sustainable water management in the watershed.

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Section: Resultsunclassified

Integração de modelos espaciais e temporais para predições de níveis freáticos extremos

Manzione

Marcuzzo

Wendland

2012

Pesq. agropec. bras.

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“…GIS systems are a core tool for integrated environmental modeling and are widely used (Argent 2003;Gogu et al 2001;Whiteaker et al 2006). GIS toolsets are used for spatial and temporal data management, spatial data-processing and analysis, and they can form a software framework for integrated modeling scenarios (Ames et al 2012).…”

Section: Gis Toolsetsmentioning

confidence: 99%

“…In this workflow, the GIS becomes the integration tool, where various modeling applications are created and run. For a good example of this type of workflow, see Gogu et al (2001). …”

Section: Gis Toolsetsmentioning

confidence: 99%

Integrated Groundwater Data Management

Fitch

Brodaric

Stenson

et al. 2016

Integrated Groundwater Management

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The goal of a data manager is to ensure that data is safely stored, adequately described, discoverable and easily accessible. However, to keep pace with the evolution of groundwater studies in the last decade, the associated data and data management requirements have changed significantly. In particular, there is a growing recognition that management questions cannot be adequately answered by single discipline studies. This has led a push towards the paradigm of integrated modeling, where diverse parts of the hydrological cycle and its human connections are included. This chapter describes groundwater data management practices, and reviews the current state of the art with enterprise groundwater database management systems. It also includes discussion on commonly used data management models, detailing typical data management lifecycles. We discuss the growing use of web services and open standards such as GWML and WaterML2.0 to exchange groundwater information and knowledge, and the need for national data networks. We also discuss crossjurisdictional interoperability issues, based on our experience sharing groundwater data across the US/Canadian border. Lastly, we present some future trends relating to groundwater data management.

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“…Geographic Information System (GIS) has emerged as a powerful technology for research (Openshaw, 1991). This concept and advancement in space technology has resulted in great efficiency in land and water management (Gogu et al, 2001). Remote sensing with its spatial and temporal features and also availability of data over large area within short time has become a very effective tool to explore, evaluate and manage water resources (Madan K et al, 2007).…”

Section: Introductionmentioning

confidence: 99%

Water Quality Assessment of UPM Lake and the Impact of Geographic Information System

O.¹

2014

IJEMA

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Abstract:A study of the water quality changes of engineering lake was conducted for 3 months in March, August and September. A total of 8 water quality parameters were measured and their average monthly observations were recorded with consideration of both point source and non-point source (NPS) pollutants. The parameters measured were Biochemical Oxygen Demand (BOD), Dissolved Oxygen (DO), Chemical Oxygen Demand (COD), Ammonia-Nitrogen (NH 3 -N),pH, Total Suspended Solids (TSS) and water temperature.This was done according to the guidelines of department of environment (DOE) Malaysiaon water quality assessment with respect to Interim National Water Quality standards (INWQS). Based on INWQS and WQI Malaysia the lake was classified as polluted against class IIb. This shows the lake is not suitable for recreational activitiessuch as fishing, canoeing. The level of pollution based on spatial resolution of two water quality parameters, BOD and water temperature was made possible using geographical information system (GIS). ARCMAP 10.1 softwarewas used for this application to determine the concentration of the parameters at every position in the lake.

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GIS-based hydrogeological databases and groundwater modelling

Cited by 150 publications

References 5 publications

Integração de modelos espaciais e temporais para predições de níveis freáticos extremos

Integração de modelos espaciais e temporais para predições de níveis freáticos extremos

Integrated Groundwater Data Management

Water Quality Assessment of UPM Lake and the Impact of Geographic Information System

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