Abstract
This article aims to present the structure and the workflow of a new software DeMa (Decision Support Software and Database for Wellfield Management), to support wellfield managers in their decision-making processes. There is a recognized need to improve the management of groundwater resources, especially with the increased demand for fresh water in arid and semi-arid regions. DeMa differentiates from other available software, by combining data collected for the well’s maintenance, operation, design, installations, and cost data with the collected hydrological field measurements. Additionally, DeMa links the different information and provides an effective graphical representation of the data. We applied the software to the Wadi Al Arab wellfield case study to support wellfield managers in the decision-making process of three typical problems: identification of missing data and information concerning the wells, identification of maintenance needs for a well, and identification of a suitable location for a new well. In the application to the Wadi Al Arab wellfield (Jordan), we collected data and documents from the Yarmouk Water Company (YWC), the Jordan Ministry of Water and Irrigation (MWI), and private drilling companies. The software application highlights the beneficial effects of the digitalization of water resources management by improving data availability and management and achieving data and research-based decisions on the wellfield.
Funder
Stiftung Fiat Panis
the German Academic Exchange Service
BMBF
Subject
Water Science and Technology,Aquatic Science,Geography, Planning and Development,Biochemistry
Reference106 articles.
1. Water demand and population growth;Schutte;Water SA Pretoria,1997
2. Butler, D., and Memon, F.A. (2005). Water Demand Management, Iwa Publishing.
3. Zubaidi, S.L., Ortega-Martorell, S., Al-Bugharbee, H., Olier, I., Hashim, K.S., Gharghan, S.K., Kot, P., and Al-Khaddar, R. (2020). Urban water demand prediction for a city that suffers from climate change and population growth: Gauteng province case study. Water, 12.
4. UN-Water and UNESCO (2022). The United Nations World Water Development Report 2022—Making the Invisible Visible, UN.
5. Delineation of groundwater potential zones of Atrai–Sib river basin in north-west Bangladesh using remote sensing and GIS techniques;Jahan;Sustain. Water Resour. Manag.,2019
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