The role of artificial intelligence (AI) and Chatgpt in water resources, including its potential benefits and associated challenges

Artificial Intelligence (AI), including models like ChatGPT, is transforming water resources management by improving hydrological modeling, water quality assessment, and flood prediction. AI techniques such as Artificial Neural Networks (ANNs) and Support Vector Machines (SVMs) have enhanced streamflow predictions and groundwater management, particularly in data-scarce regions. AI-powered systems like Smart Microclimate Control Systems (SMCS) optimize agricultural practices, leading to better resource conservation and higher crop yields. However, the scalability and applicability of AI across diverse environments pose challenges, especially where data is limited. The success of AI models depends on data quality, requiring ongoing interdisciplinary research to refine these technologies for real-world use. Additionally, tools like ChatGPT, while valuable for knowledge dissemination and data analysis, raise concerns about accuracy in critical decision-making contexts. In conclusion, while AI offers significant potential for improving water resources management, addressing challenges related to data quality, model scalability, and interdisciplinary collaboration is essential for achieving sustainable and effective outcomes.

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Publication Details

Journal
Discover Water
Published
2024-11-26
DOI
https://doi.org/10.1007/s43832-024-00173-y
Citations
21
Primary Topic
Hydrological Forecasting Using AI
Type
article
Field-Weighted Citation Impact
4.32

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article

The role of artificial intelligence (AI) and Chatgpt in water resources, including its potential benefits and associated challenges

Muhammad Rashid, Muhammad Atiq Ur Rehman Tariq, Abdullah Nadeem, Saif Haider
21 citations
Discover Water
Hydrological Forecasting Using AI
4.32
article

The role of artificial intelligence (AI) and Chatgpt in water resources, including its potential benefits and associated challenges

Muhammad Rashid, Muhammad Atiq Ur Rehman Tariq, Abdullah Nadeem, Saif Haider
article en
21 citations

Abstract

Artificial Intelligence (AI), including models like ChatGPT, is transforming water resources management by improving hydrological modeling, water quality assessment, and flood prediction. AI techniques such as Artificial Neural Networks (ANNs) and Support Vector Machines (SVMs) have enhanced streamflow predictions and groundwater management, particularly in data-scarce regions. AI-powered systems like Smart Microclimate Control Systems (SMCS) optimize agricultural practices, leading to better resource conservation and higher crop yields. However, the scalability and applicability of AI across diverse environments pose challenges, especially where data is limited. The success of AI models depends on data quality, requiring ongoing interdisciplinary research to refine these technologies for real-world use. Additionally, tools like ChatGPT, while valuable for knowledge dissemination and data analysis, raise concerns about accuracy in critical decision-making contexts. In conclusion, while AI offers significant potential for improving water resources management, addressing challenges related to data quality, model scalability, and interdisciplinary collaboration is essential for achieving sustainable and effective outcomes.

Discover WaterVol. 4(1)
University of Engineering and Technology Lahore (PK), Charles Darwin University (AU), Victoria University (AU)
Victoria University
Clean water and sanitation
Openalex Percentile: Top 5%
Hydrological Forecasting Using AI
4.32
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