Improving meteorological drought simulation in Iran using wavelet-enhanced deep learning models.
- Published in:
- Theoretical & Applied Climatology, 2025, v. 156, n. 5, p. 1, doi. 10.1007/s00704-025-05525-9
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- Publication type:
- Article
Works matching AU Heydarizad, Mojtaba
Results: 16
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The Stable Isotope Characteristics of Precipitation in the Middle East Highlighting the Link between the Köppen Climate Classifications and the δ 18 O and δ 2 H Values of Precipitation.
- Published in:
- Water (20734441), 2021, v. 13, n. 17, p. 2397, doi. 10.3390/w13172397
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- Publication type:
- Article
3
Developing Meteoric Water Lines for Iran Based on Air Masses and Moisture Sources.
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- Water (20734441), 2019, v. 11, n. 11, p. 2359, doi. 10.3390/w11112359
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- Publication type:
- Article
4
The Role of Moisture Sources and Climatic Teleconnections in Northeastern and South-Central Iran's Hydro-Climatology.
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- Water (20734441), 2018, v. 10, n. 11, p. 1550, doi. 10.3390/w10111550
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- Publication type:
- Article
5
The deterioration of groundwater quality by seawater intrusion in the Chao Phraya River Basin, Thailand.
- Published in:
- Environmental Monitoring & Assessment, 2023, v. 195, n. 3, p. 1, doi. 10.1007/s10661-023-11023-0
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- Publication type:
- Article
6
Stable Isotope Signatures in Tehran's Precipitation: Insights from Artificial Neural Networks, Stepwise Regression, Wavelet Coherence, and Ensemble Machine Learning Approaches.
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- Water (20734441), 2023, v. 15, n. 13, p. 2357, doi. 10.3390/w15132357
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- Publication type:
- Article
7
A Comprehensive Overview of the Hydrochemical Characteristics of Precipitation across the Middle East.
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- Water (20734441), 2022, v. 14, n. 17, p. 2657, doi. 10.3390/w14172657
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- Publication type:
- Article
8
The Contribution of Moisture Sources of Precipitation to Water Resources Recharge in Semi-Arid Regions.
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- Atmosphere, 2024, v. 15, n. 11, p. 1274, doi. 10.3390/atmos15111274
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- Article
9
Fractional Importance of Various Moisture Sources Influencing Precipitation in Iran Using a Comparative Analysis of Analytical Hierarchy Processes and Machine Learning Techniques.
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- Atmosphere, 2022, v. 13, n. 12, p. 2019, doi. 10.3390/atmos13122019
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- Publication type:
- Article
10
Deep learning insights into spatial patterns of stable isotopes in Iran's precipitation: a novel approach to climatological mapping.
- Published in:
- Isotopes in Environmental & Health Studies, 2024, v. 60, n. 4, p. 380, doi. 10.1080/10256016.2024.2396302
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- Publication type:
- Article
11
A comprehensive study of the parameters affecting the stable isotopes in the precipitation of the Bangkok metropolitan area using model-based statistical approaches.
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- Isotopes in Environmental & Health Studies, 2023, v. 59, n. 2, p. 161, doi. 10.1080/10256016.2023.2178431
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- Article
12
Spatial distribution of stable isotopes (<sup>18</sup>O and <sup>2</sup>H) in precipitation and groundwater in Iran.
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- Isotopes in Environmental & Health Studies, 2021, v. 57, n. 4, p. 400, doi. 10.1080/10256016.2021.1924167
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- Publication type:
- Article
13
δ<sup>18</sup>O and δ<sup>2</sup>H characteristics of moisture sources and their role in surface water recharge in the north-east of Iran.
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- Isotopes in Environmental & Health Studies, 2019, v. 55, n. 6, p. 550, doi. 10.1080/10256016.2019.1680552
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- Article
14
An overview of the atmospheric moisture transport effect on stable isotopes (δ<sup>18</sup>O, δ <sup>2</sup>H) and D excess contents of precipitation in Iran.
- Published in:
- Theoretical & Applied Climatology, 2019, v. 138, n. 1/2, p. 47, doi. 10.1007/s00704-019-02798-9
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- Publication type:
- Article
15
Exploring Long-term Monthly Prediction of Precipitation Isotopes over South east Asia: A Comparative Analysis of Machine-Learning Models.
- Published in:
- Hydrology & Earth System Sciences Discussions, 2024, p. 1, doi. 10.5194/hess-2023-299
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- Publication type:
- Article
16
The Identification of Iran's Moisture Sources Using a Lagrangian Particle Dispersion Model.
- Published in:
- Atmosphere, 2018, v. 9, n. 10, p. 408, doi. 10.3390/atmos9100408
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- Publication type:
- Article