Comprehensive multifaceted analysis for unveiling the driving factors of groundwater decline
(2025) In Groundwater for Sustainable Development 30.- Abstract
Groundwater, as a vital water resource in arid and semi-arid regions, plays a crucial role in sustaining human livelihoods, agriculture, and industry. Over recent decades, these areas have witnessed rapid groundwater depletion, raising concerns about resource sustainability. This research provides a comprehensive analysis of the factors contributing to the decline in groundwater levels (GWL) within the Marand Plain, a heavily exploited area with complex groundwater dynamics in northwestern Iran. To achieve this objective, a novel approach based on Maximal Overlap Discrete Wavelet Transform (MODWT) entropy analysis was introduced to explore the complexities governing the groundwater system across various periods. The next step involved... (More)
Groundwater, as a vital water resource in arid and semi-arid regions, plays a crucial role in sustaining human livelihoods, agriculture, and industry. Over recent decades, these areas have witnessed rapid groundwater depletion, raising concerns about resource sustainability. This research provides a comprehensive analysis of the factors contributing to the decline in groundwater levels (GWL) within the Marand Plain, a heavily exploited area with complex groundwater dynamics in northwestern Iran. To achieve this objective, a novel approach based on Maximal Overlap Discrete Wavelet Transform (MODWT) entropy analysis was introduced to explore the complexities governing the groundwater system across various periods. The next step involved conducting a non-parametric trend analysis of the GWL through Mann-Kendall tests to interpret declining trends in relation to hydro-climatological factors and vegetation dynamics represented by NDVI. In the final phase, the study employed Wavelet Transform Coherence (WTC) and Partial Wavelet Coherence (PWC) to thoroughly examine scale-dependent control of various surface factors within the groundwater system., The findings indicate a limited impact of climate change parameters on the GWL decline. However, the results highlight the significance of vegetation dynamics, driven by land use changes, as a primary factor contributing this decline.
(Less)
- author
- Shahnazi, Saman
LU
; Roushangar, Kiyoumars
; Nadiri, Ata Allah
and Hashemi, Hossein
LU
- organization
- publishing date
- 2025-08
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- Groundwater level, Mann-Kendall test, Maximal overlap discrete wavelet transform, Partial wavelet coherence, Wavelet transform coherence
- in
- Groundwater for Sustainable Development
- volume
- 30
- article number
- 101482
- publisher
- Elsevier
- external identifiers
-
- scopus:105008971469
- ISSN
- 2352-801X
- DOI
- 10.1016/j.gsd.2025.101482
- language
- English
- LU publication?
- yes
- id
- d9cdcaf1-e2bd-421e-897a-e15078befb01
- date added to LUP
- 2025-11-05 13:17:52
- date last changed
- 2025-11-05 13:19:08
@article{d9cdcaf1-e2bd-421e-897a-e15078befb01,
abstract = {{<p>Groundwater, as a vital water resource in arid and semi-arid regions, plays a crucial role in sustaining human livelihoods, agriculture, and industry. Over recent decades, these areas have witnessed rapid groundwater depletion, raising concerns about resource sustainability. This research provides a comprehensive analysis of the factors contributing to the decline in groundwater levels (GWL) within the Marand Plain, a heavily exploited area with complex groundwater dynamics in northwestern Iran. To achieve this objective, a novel approach based on Maximal Overlap Discrete Wavelet Transform (MODWT) entropy analysis was introduced to explore the complexities governing the groundwater system across various periods. The next step involved conducting a non-parametric trend analysis of the GWL through Mann-Kendall tests to interpret declining trends in relation to hydro-climatological factors and vegetation dynamics represented by NDVI. In the final phase, the study employed Wavelet Transform Coherence (WTC) and Partial Wavelet Coherence (PWC) to thoroughly examine scale-dependent control of various surface factors within the groundwater system., The findings indicate a limited impact of climate change parameters on the GWL decline. However, the results highlight the significance of vegetation dynamics, driven by land use changes, as a primary factor contributing this decline.</p>}},
author = {{Shahnazi, Saman and Roushangar, Kiyoumars and Nadiri, Ata Allah and Hashemi, Hossein}},
issn = {{2352-801X}},
keywords = {{Groundwater level; Mann-Kendall test; Maximal overlap discrete wavelet transform; Partial wavelet coherence; Wavelet transform coherence}},
language = {{eng}},
publisher = {{Elsevier}},
series = {{Groundwater for Sustainable Development}},
title = {{Comprehensive multifaceted analysis for unveiling the driving factors of groundwater decline}},
url = {{http://dx.doi.org/10.1016/j.gsd.2025.101482}},
doi = {{10.1016/j.gsd.2025.101482}},
volume = {{30}},
year = {{2025}},
}