TY - GEN
T1 - The Development of an Application for a Groundwater Management in Jukskei River Catchment of South Africa
AU - Achiro, Daphine
AU - Alowo, Rebecca
AU - Nkhonjera, German
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - An overview of the creation of a groundwater management framework application for the South African Jukskei River Catchment is provided in this article. It has been stated that technical programming for managing groundwater resources is not available given the contemporary industrial revolution. The availability of these solutions will facilitate information access and streamline the groundwater management procedure. The Jukskei River is one of Johannesburg, South Africa's largest rivers. Since then, the population of the Jukskei River has increased to around 400,000. Water supplies in the Jukskei basin are therefore under extreme stress. The Jukskei catchment was surveyed to ascertain the groundwater management status to address the difficulties. The survey was conducted by looking at the readily accessible groundwater records and the rationally written papers of the many research conducted in the area. Groundwater infrastructure was used to identify and track crucial indicators, such as groundwater level, and establish groundwater patterns. The association between the identified groundwater parameters in the catchment region and the identified borehole was plotted using a geographic information system (GIS) at the catchment level. A technology/app based on blockchain, and artificial intelligence is being developed for groundwater monitoring and will be pretested on one borehole in the Jukskei watershed. The results showed that there are gaps in the data records and that the monitoring team needs to be trained and equipped. Since there is no access to regulation terms (such as meters), official accreditation of monitoring capabilities and apparatus (such as meters) is required. There is a need to build many groundwater level monitoring stations in a certain segment, considering demands and human requirements as per normal densities in distinct locations of South Africa. Groundwater level raw data should be transformed into marketable products, such as concise reports on sensitive locations (such as dolomite compartments, wetlands, aquifers, and solitary sources). Groundwater monitoring infrastructure has been vandalized and stolen during the rising civil turmoil. This study's data will be utilized to compare changes in the catchment area to changes in the borehole in terms of the parameters mentioned. This data will be entered into computer processing software, after which an application will be created using that information. Based on data from the borehole, this program will be able to forecast results for the groundwater catchment region.
AB - An overview of the creation of a groundwater management framework application for the South African Jukskei River Catchment is provided in this article. It has been stated that technical programming for managing groundwater resources is not available given the contemporary industrial revolution. The availability of these solutions will facilitate information access and streamline the groundwater management procedure. The Jukskei River is one of Johannesburg, South Africa's largest rivers. Since then, the population of the Jukskei River has increased to around 400,000. Water supplies in the Jukskei basin are therefore under extreme stress. The Jukskei catchment was surveyed to ascertain the groundwater management status to address the difficulties. The survey was conducted by looking at the readily accessible groundwater records and the rationally written papers of the many research conducted in the area. Groundwater infrastructure was used to identify and track crucial indicators, such as groundwater level, and establish groundwater patterns. The association between the identified groundwater parameters in the catchment region and the identified borehole was plotted using a geographic information system (GIS) at the catchment level. A technology/app based on blockchain, and artificial intelligence is being developed for groundwater monitoring and will be pretested on one borehole in the Jukskei watershed. The results showed that there are gaps in the data records and that the monitoring team needs to be trained and equipped. Since there is no access to regulation terms (such as meters), official accreditation of monitoring capabilities and apparatus (such as meters) is required. There is a need to build many groundwater level monitoring stations in a certain segment, considering demands and human requirements as per normal densities in distinct locations of South Africa. Groundwater level raw data should be transformed into marketable products, such as concise reports on sensitive locations (such as dolomite compartments, wetlands, aquifers, and solitary sources). Groundwater monitoring infrastructure has been vandalized and stolen during the rising civil turmoil. This study's data will be utilized to compare changes in the catchment area to changes in the borehole in terms of the parameters mentioned. This data will be entered into computer processing software, after which an application will be created using that information. Based on data from the borehole, this program will be able to forecast results for the groundwater catchment region.
KW - Apps
KW - Artificial intelligence
KW - Groundwater
KW - Jukskei River Catchment
KW - Modelling
KW - Water resources
UR - http://www.scopus.com/inward/record.url?scp=85187245485&partnerID=8YFLogxK
U2 - 10.1109/ICECET58911.2023.10389276
DO - 10.1109/ICECET58911.2023.10389276
M3 - Conference contribution
AN - SCOPUS:85187245485
T3 - International Conference on Electrical, Computer and Energy Technologies, ICECET 2023
BT - International Conference on Electrical, Computer and Energy Technologies, ICECET 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2023 IEEE International Conference on Electrical, Computer and Energy Technologies, ICECET 2023
Y2 - 16 November 2023 through 17 November 2023
ER -