A software tool for the spatiotemporal analysis and reporting of groundwater monitoring data

Jones, Wayne; Spence, Michael; Bowman, Adrian; Evers, Ludger; Molinari, Daniel A.

doi:10.1016/j.envsoft.2014.01.020

Cited by 32 publications

(18 citation statements)

References 9 publications

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“…However, modification of the set of formal concepts can be a problem when trying to scale the system. The paper [9] deals with the development of the GroundWater spatio-temporal data analysis tool (GWSDAT). The spatio-temporal model is used for adequate interpretation of the interaction of measurement results -space and time series of groundwater solution concentrations.…”

Section: Literature Review and Problem Statementmentioning

confidence: 99%

Development of decision support in the structure of the informationanalytical system of atmospheric air environmental monitoring

Kortsova

Bakharev

Shevchenko

et al. 2018

EEJET

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Section: Literature Review and Problem Statementmentioning

confidence: 99%

Development of decision support in the structure of the informationanalytical system of atmospheric air environmental monitoring

Kortsova

Bakharev

Shevchenko

et al. 2018

EEJET

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“…In order to improve the construction process a variety of supply management and communication software prototypes have been proposed [21,22,23]. Prasad et al [24] describe that material handling significantly affects the construction process, therefore they provide a software prototype for handling construction materials in a cost-effective manner with low human intervention.…”

Section: Related Work -Smart Construction Application Opportunitiesmentioning

confidence: 99%

Supporting smart construction with dependable edge computing infrastructures and applications

Kochovski

Stankovski

2018

Automation in Construction

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The Internet of Things (IoT) such as the use of robots, sensors, actuators, electronic signalization and a variety of other Internet enabled physical devices may provide for new advanced smart applications to be used in construction in very near future. Such applications require real-time responses and are therefore time-critical. Therefore, in order to support collaboration, control, monitoring, supply management, safety and other construction processes, they have to meet dependability requirements, including requirements for high Quality of Service (QoS). Dependability and high QoS can be achieved by using adequate number and quality of computing resources, such as processing, memory and networking elements, geographically close to the smart environments. The goal of this study is to develop a practical edge computing architecture and design, which can be used in to support smart construction environments with high QoS. This study gives particular attention to the solution design, which relies on latest cloud and software engineering approaches and technologies, and provides elasticity, interoperability and adaptation to companies' specific needs. Two edge computing applications supporting video communications and construction process documentation are developed and demonstrate a viable edge computing design for smart construction.

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“…Studies are also known that investigated impacts of crop rotations on groundwater storage and recharge in agricultural watersheds [33]. Several studies also used GRACE (Gravity Recovery and Climate Experiment) satellite data [34][35][36] or a combination of satellite data and in-situ observations [37,38], as well as geospatial software tools [39].…”

Section: Introductionmentioning

confidence: 99%

Groundwater Level Changes Due to Extreme Weather—An Evaluation Tool for Sustainable Water Management

Ziolkowska

Reyes

2017

Water

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Abstract:In the past decade, extreme and exceptional droughts have significantly impacted many economic sectors in the US, especially in California, Oklahoma, and Texas. The record drought of 2011-2014 affected almost 90% of Texas areas and 95% of Oklahoma state areas. In 2011 alone, around $1.6 billion in agricultural production were lost as a result of drought in Oklahoma, and $7.6 billion in Texas. The agricultural sectors in Oklahoma and Texas rely mainly on groundwater resources from the non-replenishable Ogallala Aquifer in Panhandle and other aquifers around the states. The exceptional droughts of 2011-2014 not only caused meteorologically induced water scarcity (due to low precipitation), but also prompted farmers to overuse groundwater to maintain the imperiled production. Comprehensive studies on groundwater levels, and thus the actual water availability/scarcity across all aquifers in Oklahoma and Texas are still limited. Existing studies are mainly focused on a small number of selected sites or aquifers over a short time span of well monitoring, which does not allow for a holistic geospatial and temporal evaluation of groundwater level variations. This paper aims at addressing those issues with the proposed geospatial groundwater visualization model to assess availability of groundwater resources for agricultural, industrial, and municipal uses both in Oklahoma and Texas in the time frame of 2003-2014. The model is an evaluation tool that can be used by decision-makers for designing sustainable water management practices and by teachers and researchers for educational purposes.

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A software tool for the spatiotemporal analysis and reporting of groundwater monitoring data

Cited by 32 publications

References 9 publications

Development of decision support in the structure of the informationanalytical system of atmospheric air environmental monitoring

Development of decision support in the structure of the informationanalytical system of atmospheric air environmental monitoring

Supporting smart construction with dependable edge computing infrastructures and applications

Groundwater Level Changes Due to Extreme Weather—An Evaluation Tool for Sustainable Water Management

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A software tool for the spatiotemporal analysis and reporting of groundwater monitoring data

Cited by 32 publications

References 9 publications

Development of decision support in the structure of the information­analytical system of atmospheric air environmental monitoring

Development of decision support in the structure of the information­analytical system of atmospheric air environmental monitoring

Supporting smart construction with dependable edge computing infrastructures and applications

Groundwater Level Changes Due to Extreme Weather—An Evaluation Tool for Sustainable Water Management

Contact Info

Product

Resources

About

Development of decision support in the structure of the informationanalytical system of atmospheric air environmental monitoring

Development of decision support in the structure of the informationanalytical system of atmospheric air environmental monitoring