Priya et al. (2026) Evaluating the Trend of Temperature and Rainfall Using ITA and GIS Techniques
Identification
- Journal: Lecture notes in civil engineering
- Year: 2026
- Date: 2026-01-01
- Authors: M. Goutham Priya, A. J. Jeya Arthi, P. Sasika
- DOI: 10.1007/978-3-032-04149-4_40
Research Groups
Department of Civil Engineering, Rajalakshmi Engineering College, Chennai, Tamil Nadu, India
Short Summary
This paper evaluates the spatial-temporal trends of temperature and rainfall over a 12-year period in specific districts of Tamil Nadu, India, using Innovative Trend Analysis (ITA) and GIS techniques to inform climate change adaptation strategies.
Objective
- To analyze the fluctuations and spatial-temporal trends of temperature and precipitation over a 12-year period in Chennai, Kanchipuram, and Tiruvallur districts of Tamil Nadu, India.
Study Configuration
- Spatial Scale: Chennai, Kanchipuram, and Tiruvallur districts in Tamil Nadu, India.
- Temporal Scale: A 12-year period.
Methodology and Data
- Models used: Innovative Trend Analysis (ITA), Geographic Information Systems (GIS).
- Data sources: Information from various channels such as satellites, ground observations, and climate models.
Main Results
- The study provides trend analysis results for temperature and rainfall, which are presented as useful tools for developing climate change adaptation plans and enhancing community resilience. Specific quantitative trends are not detailed in the provided abstract.
- Visualization techniques, such as temperature and rainfall maps, are highlighted for fostering stakeholder engagement and communicating findings.
Contributions
- The article contributes by applying Innovative Trend Analysis (ITA) and GIS techniques to evaluate temperature and rainfall trends in specific Tamil Nadu districts, offering insights for localized climate change mitigation and adaptation strategies.
- It emphasizes the role of visualization techniques in communicating findings and engaging stakeholders for effective climate action.
Funding
- Not specified in the provided text.
Citation
@article{Priya2026Evaluating,
author = {Priya, M. Goutham and Arthi, A. J. Jeya and Sasika, P.},
title = {Evaluating the Trend of Temperature and Rainfall Using ITA and GIS Techniques},
journal = {Lecture notes in civil engineering},
year = {2026},
doi = {10.1007/978-3-032-04149-4_40},
url = {https://doi.org/10.1007/978-3-032-04149-4_40}
}
Original Source: https://doi.org/10.1007/978-3-032-04149-4_40