Abstract
There are various groundwater data bases and scanty/sketchy groundwater monitoring and information systems. Groundwater monitoring has been difficult in the Southern African region, particularly, the Democratic Republic of Congo (DRC), for the water administrative authorities. Water clients do not submit the required compulsory critical data for effective monitoring of water use. This, combined with the absence of limits to boreholes dug by permit holders to the water authorities, has led to challenges in decision-making and groundwater conservation. In this mixed method research, using an Android telephone, well data (water levels) and climatic related information such as precipitation were assembled and sent to a composed store through a sort code/USSD/Instrument free line in texts (SMS). This is proficient through a 3G/GSM/GPRS module that is part of the sensor equipment to be used for this procedure. Once in the store, requests were used to recuperate data in the required design. Additionally, a cloud framework at the point where a long-lasting file was followed up.
Original language | English |
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Article number | 3243 |
Journal | Applied Sciences (Switzerland) |
Volume | 12 |
Issue number | 7 |
DOIs | |
Publication status | Published - 1 Apr 2022 |
Keywords
- apps
- artificial intelligence
- groundwater
- monitoring system
- yield
ASJC Scopus subject areas
- General Materials Science
- Instrumentation
- General Engineering
- Process Chemistry and Technology
- Computer Science Applications
- Fluid Flow and Transfer Processes