Reviving Ancient Water Management Systems Using IoT and Data Analytics

Abstract Water scarcity is a worldwide increasing issue, both in urban and rural regions. Modern water management practices emphasize large-scale infrastructure, but ancient civilizations built highly efficient water conservation systems that were sustainable and responsive to local conditions. Traditional systems such as stepwells, qanats, aqueducts, and rainwater harvesting have been overlooked in modern water management practice. This paper discusses how the integration of contemporary technologies such as the Internet of Things (IoT) and Data Analytics can be used to revive and enhance these old water management methods. Through the use of real-time monitoring, predictive analytics, and automation, these old methods can be modified to suit the needs of contemporary society while being sustainable

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-04-30
DOI
https://doi.org/10.5281/zenodo.15501672
Primary Topic
Big Data and Digital Economy
Type
article
Field-Weighted Citation Impact
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article

Reviving Ancient Water Management Systems Using IoT and Data Analytics

Zenodo (CERN European Organization for Nuclear Research)
Big Data and Digital Economy
article

Reviving Ancient Water Management Systems Using IoT and Data Analytics

article en

Abstract

Abstract Water scarcity is a worldwide increasing issue, both in urban and rural regions. Modern water management practices emphasize large-scale infrastructure, but ancient civilizations built highly efficient water conservation systems that were sustainable and responsive to local conditions. Traditional systems such as stepwells, qanats, aqueducts, and rainwater harvesting have been overlooked in modern water management practice. This paper discusses how the integration of contemporary technologies such as the Internet of Things (IoT) and Data Analytics can be used to revive and enhance these old water management methods. Through the use of real-time monitoring, predictive analytics, and automation, these old methods can be modified to suit the needs of contemporary society while being sustainable

Zenodo (CERN European Organization for Nuclear Research)
Pwani University (KE), Bhagwant University (IN)
Openalex Percentile: Top 41%
Big Data and Digital Economy
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