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International Journal for Research Trends and Innovation
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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14
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| Paper Title: | Artificial Intelligence for Water resource Management and Risk Assessment |
| Authors Name: | Karishma Das , Dr. Mitamoni Sarma |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_204965
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| Published Paper Id: | IJRTI2506174 |
| Published In: | Volume 10 Issue 6, June-2025 |
| DOI: | |
| Abstract: | Artificial intelligence (AI) is a branch of computer science and technology to create machines, systems, or software programs which replicate human intelligence. These tasks include reasoning, problem solving, decision making, learning, and perception and understanding natural language. The most widely used forms of AI for various applications are Expert systems, Fuzzy logic, Neural networks, Machine learning, Deep learning, Natural Language Processors, etc.AI has been used in applications throughout all sectors of society including academia, business world, health sector, and industry area and water management system. Today, water resources management systems have been transformed a lot with improved hydrological modeling, water quality assessment, and flood prediction systems with the application of generative Artificial Intelligence (AI) model like ChatGPT. This paper tries to analyze the role of AI in enhancing water resources management such as water quality management, flood forecasting etc. The paper also attempts to focus on the potential benefits and challenges of integrating AI for water management practice.AI has emerged as a vital tool for enhancing the accuracy, efficiency, and sustainability of water management practices. However, the success of AI models depends on data quality, requiring ongoing interdisciplinary research to refine these technologies for real-world use. AI tools like ChatGPT, are though valuable for information dissemination and data interpretation, but raise concerns about precision in critical decision-making contexts. |
| Keywords: | Artificial Intelligence (AI), Water management, AI tools, technology |
| Cite Article: | " Artificial Intelligence for Water resource Management and Risk Assessment", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 6, page no.b625-b629, June-2025, Available :http://www.ijrti.org/papers/IJRTI2506174.pdf |
| Downloads: | 000397 |
| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI2506174
Registration ID:204965
Published In: Volume 10 Issue 6, June-2025
DOI (Digital Object Identifier):
Page No: b625-b629 Country: -, -, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2506174 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2506174 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
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