 |
International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.14 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
|
Issue: June 2026
Volume 11 | Issue 6
Review Result and Publication of Paper within : 2-3 days
Click Here For more DetailsFor Authors
Forms / Download
Published Issue Details
Editorial Board
Other IMP Links
Facts & Figure
Impact Factor : 8.14
Issue per Year : 12
Volume Published : 11
Issue Published : 121
Article Submitted : 24719
Article Published : 9358
Total Authors : 24865
Total Reviewer : 861
Total Countries : 169
Indexing Partner
Licence
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
|
Published Paper Details
|
|
| Paper Title: | Climate Change Impact Assessment on Watershed Hydrology Using Remote Sensing and GIS-Based Hydrological Modeling Techniques |
| Authors Name: | Yash Malhari Shinde , Shreyash Dattatray Sawant , Abhang Prabhukhanolkar , Dr.Sumant Chaudhary |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_212740
|
| Published Paper Id: | IJRTI2605163 |
| Published In: | Volume 11 Issue 5, May-2026 |
| DOI: | |
| Abstract: | Watersheds represent basic hydrological units that control surface water and groundwater recharge as well as sediment transport processes across landscapes. Progressively accelerated manifestations of climate change have altered precipitation, temperature and evapo-transpiration pulse dynamics in ways that combine to create a hydrologically stressful watershed environment. This review article provides a comprehensive evaluation of the effects of climate change on watershed hydrology through the integration of multi-source remote sensing datasets with geographically- informative system (GIS)-based analytical processes and physically-based hydrological modelling methodologies. The research integrates various satellite platforms (Landsat-8/9, Sentinel-2 and MODIS) to assess land use/land cover (LULC) transitions, normalized difference vegetation index (NDVI) trends, and land surface temperature (LST) anomalies over a representative mid-sized river basin spanning approximately 4,200 km². Shuttle Radar Topography Mission (SRTM) digital elevation model data were employed for watershed morphometric analysis and drainage network delineation, while CMIP6 climate projections under SSP2-4.5 and SSP5-8.5 emission scenarios provided the basis for long-term hydrological forecasting through 2080. The Soil and Water Assessment Tool (SWAT) was calibrated and validated against observed streamflow records (Nash–Sutcliffe efficiency = 0.83, R² = 0.87), and subsequently applied to assess future runoff, sediment yield, and groundwater recharge under evolving climate conditions. Results indicate a projected increase in surface runoff of 18–34% under SSP5-8.5 by mid-century, accompanied by a 22% reduction in baseflow and an estimated 41% escalation in annual soil erosion rates attributable to vegetation loss and altered storm intensities. NDVI analysis reveals a statistically significant declining trend (p < 0.01) in vegetative greenness across 31% of the watershed area over the past two decades, correlating with documented increases in drought frequency and land degradation. The paper concludes with evidence-based recommendations for integrated watershed management, emphasizing reforestation, check dam construction, and GIS-enabled real-time monitoring systems as priority adaptation interventions. |
| Keywords: | Remote Sensing; GIS; Watershed Hydrology; Climate Change; SWAT Model; NDVI; LULC Classification; RUSLE; Hydrological Modelling; CMIP6; Soil Erosion; Streamflow Analysis |
| Cite Article: | "Climate Change Impact Assessment on Watershed Hydrology Using Remote Sensing and GIS-Based Hydrological Modeling Techniques", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.11, Issue 5, page no.b550-b567, May-2026, Available :http://www.ijrti.org/papers/IJRTI2605163.pdf |
| Downloads: | 00067 |
| 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 |
| Publication Details: |
Published Paper ID: IJRTI2605163
Registration ID:212740
Published In: Volume 11 Issue 5, May-2026
DOI (Digital Object Identifier):
Page No: b550-b567 Country: Pune, Maharashtra, India Research Area: Engineering Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2605163 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2605163 |
| Share Article: | |
|
Click Here to Download This Article |
|
| Article Preview | |
|
|
|
Major Indexing from www.ijrti.org
| Google Scholar | ResearcherID Thomson Reuters | Mendeley : reference manager | Academia.edu |
| arXiv.org : cornell university library | Research Gate | CiteSeerX | DOAJ : Directory of Open Access Journals |
| DRJI | Index Copernicus International | Scribd | DocStoc |
ISSN Details
 |
 |
|
ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
DOI (A digital object identifier)
| Providing A digital object identifier by DOI.ONE How to Get DOI? |
Conference
Open Access License Policy
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Important Details
Join RMS/Earn 300
WhatsApp
Click Here
Click Here
Indexing Partner |
|||
| Copyright © 2026 - All Rights Reserved - IJRTI | |||