Big Data Analytics and Its Role to Support Groundwater Management in the Southern African Development Community

Gaffoor, Zaheed; Pietersen, Kevin; Jovanovic, Nebo; Bagula, Antoine

doi:10.3390/w12102796

Cited by 22 publications

(9 citation statements)

References 116 publications

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“…On a conceptual level, the usefulness of a big data analytics platform for groundwater management has been recognized by the Southern African Development Community [23].…”

Section: Related Workmentioning

confidence: 99%

Computer Architectures for Incremental Learning in Water Management

et al. 2022

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This paper presents an architecture and a platform for processing of water management data in real time. Stakeholders in the domain are faced with the challenge of handling large amounts of incoming sensor data from heterogeneous sources after the digitalization efforts within the sector. Our water management analytical platform (WMAP) is built upon the needs of domain experts (it provides capabilities for offline analysis) and is designed to solve real-world problems (it provides real-time data flow solutions and data-driven predictive analytics) for smart water management. WMAP is expected to contribute significantly to the water management domain, which has not yet acquired the competences to implement extensive data analysis and modeling capabilities in real-world scenarios. The proposed architecture extends existing big data architectures and presents an efficient way of dealing with data-driven modeling in the water management domain. The main improvement is in the speed (online analytics) layer of the architecture, where we introduce heterogeneous data fusion in a set of data streams that provide real-time data-driven modeling and prediction services. Using the proposed architecture, the results illustrate that models built with datasets with richer contextual information and multiple data sources are more accurate and thus more useful.

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“…On a conceptual level, the usefulness of a big data analytics platform for groundwater management has been recognized by the Southern African Development Community [23].…”

Section: Related Workmentioning

confidence: 99%

Computer Architectures for Incremental Learning in Water Management

et al. 2022

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“…India Water Tool version 2 (IWT 2.0) developed by Shiao et al (2015), provides high-resolution, user-friendly, and publicly available water platform to help companies, government agencies, and other users identify their water risks and prioritize their water management actions in India, which also alike of the present study. Furthermore, several other studies has been done by various researchers at different places around the world and found the developed web-GIS based information system is more user-friendly, and also provides the spatio-temporal information regarding water (Horne 2015;Evans et al 2020;Gaffoor et al 2020).…”

Section: Development Of Web Gis Based Water Resource Information Systemmentioning

confidence: 99%

Development of web enabled water resource information system using open source software for Patiala and SAS Nagar districts of Punjab, India

Singh

Kaur

Litoria

et al. 2021

Water Practice and Technology

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Over the globe efforts are being made to collect data and develop an adequate water resource information system for optimising its use. India is the largest consumer of water with an estimated usage of around 300 cubic kilometers per year. Punjab, a north-western state of India, is an example of severe crises aquifer depletion due to unconstrained consumption of groundwater leads to degrade the quantity as well as quality of it. Thus it is of great importance to compile up to date information about the water requirement for its appropriate and sustainable use. Remote sensing and Geographic Information system (GIS) are the technologies that can provide efficient & effective information system to tackle the water quality & water supply planning parameters. Thus, under the present study, a web enabled water resource information system has been developed in GIS environment for the SAS (Sahibzada Ajit Singh) Nagar and Patiala districts of Punjab by using the open source software – MS4W and pmapper. This system provides digital information of natural i.e. drainage & man made features like roads, canals, tube well with its location etc., and also provide the information related to water level, water quality of wells, and well depth for the study area. Such an information system can be very helpful for the administrators and can serve as a decision support system for the planners and policy makers so that the areas where the problem related to water quality can be identified and focused upon. The system can provide an effective and meaningful direction for the planning and development of both districts.

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“…Community members are aware of the benefits of big data-driven innovation in enhancing environmental performance, so they can exert pressure on companies to apply this technology for sustainability purposes. Literature has pointed out that the community can develop coercion mechanisms to boost the application of big data analytics (Gaffoor et al, 2020;Bag et al, 2021b). For example, the vision of community members for digitalization can lead to achieving sustainable development goals.…”

Section: Introductionmentioning

confidence: 99%

Diffusion of Big Data Analytics Innovation in Managing Natural Resources in the African Mining Industry

Bag

Srivastava²,

Gupta

et al. 2022

Journal of Global Information Management

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The study draws upon the ethical theory of organizing to elucidate the links between ethical climate antecedents, organizational practices, and consequences. We also integrated organizing vision theory to examine the influence of diffusion of big data analytics innovation on sustainable business practices. The results indicate that organizational trust has a significant positive impact on ethics training and ethics audit, which is critical to South Africa's mining industry. Furthermore, the results indicate that ethical leadership is positively related to ethics training and ethics audits. Findings show that ethics training and ethics audit is positively related to sustainable business practices. Findings indicate that the vision constructed by community members is positively related to the diffusion of big data analytics innovation. We also found that the diffusion of big data analytics innovation is positively related to sustainable business practices. Lastly, findings show that sustainable business practices are positively related to firm performance.

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Big Data Analytics and Its Role to Support Groundwater Management in the Southern African Development Community

Cited by 22 publications

References 116 publications

Computer Architectures for Incremental Learning in Water Management

Computer Architectures for Incremental Learning in Water Management

Development of web enabled water resource information system using open source software for Patiala and SAS Nagar districts of Punjab, India

Diffusion of Big Data Analytics Innovation in Managing Natural Resources in the African Mining Industry

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