Monitoring the groundwater quality/quantity from your desktop – application to salt water intrusion monitoring EMI: Environmental data Management Interface

Neyens, Denis; Baïsset, Matthieu; Lovighi, H.

doi:10.1051/e3sconf/20185400021

Cited by 4 publications

(3 citation statements)

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“…The application of the IoT for monitoring the groundwater level's daily variations and safety quality in the mining environment was carried out by Reddy et al using sensor technologies [203]. Additionally, Neyens et al monitored groundwater quality and quantity from a desktop using the IoT-enabled Environmental data Management Interface (EMI) technique [204]. This same technique was also applied to saltwater intrusion monitoring.…”

Section: Iot and Groundwater Level Measurement Techniquesmentioning

confidence: 99%

A Review of Groundwater Management Models with a Focus on IoT-Based Systems

et al. 2021

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Globally, groundwater is the largest distributed storage of freshwater and plays an important role in an ecosystem’s sustainability in addition to aiding human adaptation to both climatic change and variability. However, groundwater resources are dynamic and often change as a result of land usage, abstraction, as well as variation in climate. To solve these challenges, many conventional solutions, such as certain numerical techniques, have been proffered for groundwater modelling. The global evolution of the Internet of Things (IoT) has enhanced the culture of data gathering for the management of groundwater resources. In addition, efficient data-driven groundwater resource management relies hugely on information relating to changes in groundwater resources as well as their availability. At the moment, some studies in the literature reveal that groundwater managers lack an efficient and real-time groundwater management system which is needed to gather the required data. Additionally, the literature reveals that the existing methods of collecting data lack the required efficiency to meet computational model requirements and meet management objectives. Unlike previous surveys, which solely focussed on particular groundwater issues related to simulation and optimisation management methods, this paper seeks to highlight the current groundwater management models as well as the IoT contributions.

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Section: Iot and Groundwater Level Measurement Techniquesmentioning

confidence: 99%

A Review of Groundwater Management Models with a Focus on IoT-Based Systems

et al. 2021

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“…The application of IoTs for monitoring the groundwater level daily variations and safety quality in the mining environment was carried out by Reddy et al, using sensor technologies [187]. Also, Neyens et al monitored groundwater quality and quantity from a desktop using the IoTs-enabled Environmental data Management Interface (EMI) technique [188]. This same technique was also applied to saltwater intrusion monitoring.…”

Section: Iot and Groundwater Level Measurement Techniquesmentioning

confidence: 99%

Groundwater Resources Management Modelling: A Review

Aderemi¹,

Olwal²,

Ndambuki³

et al. 2021

Preprint

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Globally, groundwater is the largest distributed storage of freshwater that plays an important role in an ecosystem’s sustainability in addition to aiding human adaptation to both climatic change and variability. However, groundwater resources are dynamic and often changes as a result of land usage, abstraction as well as variation in climate. Thus, efficient management of groundwater resources to prevent overexploitation, scarcity, and minimising the effects of drought has become a major challenge for researchers as well as water managers. Furthermore, a number of research challenges such as the lack of computational efficiency and scalability due to uncertainties from input parameters to the groundwater resource model have been revealed in the management of groundwater resources. To solve these challenges, many conventional solutions such as numerical techniques have been proffered for groundwater modelling. Also, the use of data-driven techniques such as machine learning is gaining more attraction to solve these aforementioned challenges. Thus, this has made efficient data gathering essential to maintain da-ta-driven groundwater resources management models from the observation site. The global evolution of the Internet of Things (IoTs), has increased the nature of data gathering for the management of groundwater resources. In addition, efficient data-driven groundwater resource management relies hugely on information relating to changes in groundwater resources as well as their availability. Although the IoTs enabled automated data processing systems are in existence by transmitting the generated data from IoT enabled devices into the cloud through the Internet. However, traditional IoT Internet is not scalable and efficient enough to process the generated vast IoT data At the moment, some pieces of the literature revealed the groundwater managers lack an efficient, scalable and real-time groundwater management system to gather the required data. Also, the literature revealed that the existing methods of collecting data lack efficiency to meet computational model requirements and meet management objectives. Thus, it is necessary to have an efficient and scalable IoT system to extract valuable information in real-time for groundwater resource management. Unlike previous surveys which solely focussed on particular groundwater issues related to simulation and optimisation management methods, nonetheless, this paper seeks to highlight the current groundwater management models as well as the IoT contributions

show abstract

“…The application of IoTs for monitoring the groundwater level daily variations and safety quality in the mining environment was carried out by Reddy et al, using sensor technologies [175]. Also, Neyens et al monitored groundwater quality and quantity from a desktop using the IoTs-enabled Environmental data Management Interface (EMI) technique [176]. This same technique was also applied to saltwater intrusion monitoring.…”

Section: Iot and Groundwater Level Measurement Techniquesmentioning

confidence: 99%

Groundwater Level Resources Management Modelling: A Review

Aderemi¹,

Olwal²,

Ndambuki³

et al. 2021

Preprint

View full text Add to dashboard Cite

Globally, groundwater is the largest distributed storage of freshwater that plays an important role in an ecosystem’s sustainability in addition to aiding human adaptation to both climatic change and variability. However, this resource is not unlimited and its sustainability is highly dependent on its prudent use. Thus, efficient management of groundwater resources to prevent overexploitation, scarcity and drought has become a major challenge for researchers as well as water managers. To solve these challenges, many solutions such as simulation and optimisation models have been proffered through the use of historical data. Therefore, this has made efficient data gathering essential to maintain data-driven groundwater level resource management models from the observation site. The global evolution of the Internet of Things (IoTs), has increased the nature of data gathering for the management of groundwater resources. Recently, a number of research challenges such as the lack of computational efficiency and scalability due to uncertainties from input parameters to the groundwater level resource model have been revealed in the management of groundwater level resources. In addition, efficient data-driven groundwater level resource management relies hugely on information relating to changes in groundwater resource levels as well as its availability. At the moment, the groundwater managers lack an efficient and scalable groundwater management system to gather the required data. The literature revealed that the existing methods of collecting data lack efficiency to meet computational model requirements and meet management objectives. Although the IoTs enabled automated data processing systems are in existence by transmitting the generated data from IoT enabled devices into the cloud through the Internet. However, traditional IoT Internet is not scalable and efficient enough to process the generated vast IoT data. Thus, it is necessary to have an efficient and scalable IoT system to extract valuable information in real-time for groundwater level resource management. Unlike previous surveys which solely focussed on particular groundwater issues related to simulation and optimisation management models, nonetheless, this paper seeks to highlight the current groundwater level resources management models as well as the IoT contributions.

show abstract

Monitoring the groundwater quality/quantity from your desktop – application to salt water intrusion monitoring EMI: Environmental data Management Interface

Cited by 4 publications

References 0 publications

A Review of Groundwater Management Models with a Focus on IoT-Based Systems

A Review of Groundwater Management Models with a Focus on IoT-Based Systems

Groundwater Resources Management Modelling: A Review

Groundwater Level Resources Management Modelling: A Review

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