Integrated Hybrid Modeling Framework and Intelligent Information System Architecture for Robust Hydrological Forecasting in Semi-Arid Regions

Nasridinov, Rustamjon

Al-Farg'oniy avlodlari · 2026-yil

Annotatsiya

Predicting hydrological dynamics in semi-arid regions is challenging due to climate instability. This study proposes a hybrid modeling framework integrating Seasonal-Trend decomposition (STL), SARIMA, and Long Short-Term Memory (LSTM) networks to capture seasonal and nonlinear residual patterns. A modular Intelligent Information System (IIS) architecture is designed to operationalize this approach using real-time Central Asian data. Results demonstrate the hybrid model significantly outperforms standalone methods, achieving Nash-Sutcliffe Efficiency (NSE) scores of 0.85–0.96 and reducing RMSE by 18–35%. This framework provides a robust operational tool for data-driven water resource management.

Maqola ma’lumotlari
MualliflarNasridinov, Rustamjon
JurnalAl-Farg'oniy avlodlari
NashriyotТАТУ Фарғона филиали
ISSN2181-4252
Nashr sanasi2026-05-17
Son2
Betlar182-194
TilIngliz
Ilmiy sohaTexnika
Indeksga qo‘shilgan2026-08-26

Maqolaning asl sahifasi

Kalit so‘zlar

hybrid model, deep learning, intelligent algorithms, methods of data collection, evaluation of predictive ability of the model, study of correlations between parameters., forecasting;

Ilmiy soha

Texnika

Iqtibos keltirish

APANasridinov, Rustamjon (2026). Integrated Hybrid Modeling Framework and Intelligent Information System Architecture for Robust Hydrological Forecasting in Semi-Arid Regions. Al-Farg'oniy avlodlari, (2), 182-194. https://al-fargoniy.uz/index.php/journal/article/view/1152
GOST (OAK)Nasridinov, Rustamjon Integrated Hybrid Modeling Framework and Intelligent Information System Architecture for Robust Hydrological Forecasting in Semi-Arid Regions // Al-Farg'oniy avlodlari. – 2026. – № 2. – P. 182-194.
MLANasridinov, Rustamjon. “Integrated Hybrid Modeling Framework and Intelligent Information System Architecture for Robust Hydrological Forecasting in Semi-Arid Regions.” Al-Farg'oniy avlodlari, (2), 182-194, 2026. https://al-fargoniy.uz/index.php/journal/article/view/1152
ChicagoNasridinov, Rustamjon. “Integrated Hybrid Modeling Framework and Intelligent Information System Architecture for Robust Hydrological Forecasting in Semi-Arid Regions.” Al-Farg'oniy avlodlari, (2), 182-194 (2026). https://al-fargoniy.uz/index.php/journal/article/view/1152
HarvardNasridinov, Rustamjon (2026) ‘Integrated Hybrid Modeling Framework and Intelligent Information System Architecture for Robust Hydrological Forecasting in Semi-Arid Regions’, Al-Farg'oniy avlodlari, (2), 182-194. https://al-fargoniy.uz/index.php/journal/article/view/1152
BibTeX
@article{nasridinovrustamjon2026,
  title = {Integrated Hybrid Modeling Framework and Intelligent Information System Architecture for Robust Hydrological Forecasting in Semi-Arid Regions},
  author = {Nasridinov, Rustamjon},
  journal = {Al-Farg'oniy avlodlari},
  year = {2026},
  number = {2},
  pages = {182-194},
  url = {https://al-fargoniy.uz/index.php/journal/article/view/1152}
}

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