open access publication

Chapter, 2024

Method for systematic and automatized data capturing of hydrogeological information, for provision of safe drinking water and sustainable groundwater management

Arsenic in the Environment: Bridging Science to Practice for Sustainable Development As2021 9781003317395, Pages 440-441

Editors:

Publisher: Taylor & Francis

DOI: 10.1201/9781003317395-179

Contributors

Boberg, M. [1] Selander, M. [1] Haugwitz, C. [2] von Brömssen, M. [1] [3] Bhattacharya, P. [1] Sharma, S. [4] Ahmed, K.M. [5] Islam, Md Tahmidul 0000-0001-5919-3626 [1] [6] Alam, M.J. [5] Akter, N. [7]

Affiliations

  1. [1] KTH Royal Institute of Technology
  2. [NORA names: Sweden; Europe, EU; Nordic; OECD];
  3. [2] Ramboll (Denmark)
  4. [NORA names: Ramboll Group; Private Research; Denmark; Europe, EU; Nordic; OECD];
  5. [3] Ramboll Sweden AB, Stockholm, Sweden
  6. [NORA names: Sweden; Europe, EU; Nordic; OECD];
  7. [4] ExcelDots AB, Stockholm, Sweden
  8. [NORA names: Sweden; Europe, EU; Nordic; OECD];
  9. [5] University of Dhaka
  10. [NORA names: Bangladesh; Asia, South];

Abstract

The SASMIT protocol, based on the relation between arsenic (As) in groundwater and color of sediments, has previously been developed in Matlab, SE Bangladesh. The current study aimed to investigate the potentialities of a digital platform for collecting hydrogeological data with a mobile app/software called ASMITAS, automatically transferring data to the GeoGIS 2020 system – used for managing and analyzing hydrogeological data for the study area Daudkandi, Bangladesh. Detailed sediment characteristics, groundwater pressure heads and As concentrations, according to the SASMIT protocol, was collected from 5 piezometer nests (23 piezometer) for the aquifer delineation analysis. Three main aquifer systems i.e. Shallow, Intermediate and Deep, were identified with characteristic As concentrations. Oxidized brown sediments were identified and safe aquifers for the installation of drinking water tube wells could be outlined. The integration of the digital platform for data collection, and it's management including the post-processing can enhance the decision-making capabilities for arsenic mitigation at national and local level as well as for producing sustainable groundwater management strategies. Furthermore, providing information transparent at local as well as national level will ensure accountability of decision makers at all levels and may be an efficient tool for combating elite capturing of safe drinking wells.

Keywords

ASMITA, Bangladesh, Daudkandi, Deep, GeoGIS, MATLAB, SE Bangladesh, Shallow, accounts, analysis, aquifer, arsenic mitigation, automatic data capture, brown sediment, capability, capture, characteristics, collection, color, color of sediments, concentration, data, data capture, data collection, decision makers, decision-making capabilities, delineation analysis, digital platforms, drinking, drinking water, drinking wells, efficient tool, elite capture, groundwater, groundwater management, groundwater management strategies, groundwater pressure head, head, hydrogeological data, hydrogeological information, information, installation, integration, intermediate, levels, local level, makers, management, management strategies, method, mitigation, national level, nest, platform, post-processing, potential, pressure head, protocol, provision, sediment characteristics, sediments, strategies, study, system, tools, tube wells, water, wells

Funders

  • United Nations Children's Fund

Data Provider: Digital Science