Bibliographic Details
| Title: |
Investigating the hydrological implications of atmospheric fluctuations and wildfire disturbances in a mountainous terrain. |
| Authors: |
Patil, Rajvardhan (AUTHOR) rajvardhanshrikant@gmail.com, Bharadiya, Nitin (AUTHOR) |
| Source: |
Journal of Environmental Engineering & Science. 2025, Vol. 20 Issue 4, p320-332. 13p. |
| Subjects: |
Hydrology, Runoff models, Water management, Atmospheric circulation, Wildfire prevention, Climate change, Uplands, Watersheds |
| Geographic Terms: |
Amu Darya, Central Asia |
| Abstract: |
This article investigates the hydrological impacts of atmospheric fluctuations and wildfire disturbances on the Amu Darya river basin, a glacier-fed watershed critical for Central Asia’s water supply. Using the Soil and Water Assessment Tool (SWAT) coupled with Global Climate Models (GCMs) under various climate scenarios, the study simulates runoff, streamflow, and water balance changes over a 60-year period, calibrated and validated with observed data via the SUFI-2 algorithm in SWAT-CUP. Results indicate significant alterations in precipitation patterns, reduced surface runoff, increased groundwater recharge, and heightened uncertainty in hydrological responses due to climate variability, emphasizing the need for adaptive watershed management and transboundary cooperation. The findings provide valuable insights for policymakers and water resource managers aiming to develop sustainable strategies to mitigate climate change effects on water availability and agricultural productivity in the Amu Darya basin and similar mountainous regions. Citation: Patil R and Bharadiya N (2025) Investigating the hydrological implications of atmospheric fluctuations and wildfire disturbances in a mountainous terrain. Journal of Environmental Engineering and Science 20(4): 320–332, https://doi.org/10.1680/jenes.24.00033 [Extracted from the article] |
|
Copyright of Journal of Environmental Engineering & Science is the property of Canadian Science Publishing and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) |
| Database: |
Engineering Source |