# Hydrological Forecasting Using AI

**Type:** Topics  
**Canonical URL:** https://scholariq.org/topics/hydrological-forecasting-using-ai/

## Facts

| Field | Value |
| --- | --- |
| Description | This cluster of papers focuses on the application of machine learning methods, such as artificial neural networks, support vector machines, and wavelet analysis, in hydrological modeling and forecasting for water resources management. The papers cover topics including rainfall-runoff modeling, groundwater level forecasting, river flow prediction, and water quality modeling. |
| Domain | Physical Sciences |
| Field | Environmental Science |
| OpenAlex ID | t11490 |
| Works | 35 |

## Topic papers all

Showing 15 of 35.

- [Performance of machine learning methods in predicting water quality index based on irregular data set: application on Illizi region (Algerian southeast)](https://scholariq.org/papers/performance-of-machine-learning-methods-in-predicting-water-quality-index-based/)
- [A physical process and machine learning combined hydrological model for daily streamflow simulations of large watersheds with limited observation data](https://scholariq.org/papers/a-physical-process-and-machine-learning-combined-hydrological-model-for-daily/)
- [Air Temperature Forecasting Using Machine Learning Techniques: A Review](https://scholariq.org/papers/air-temperature-forecasting-using-machine-learning-techniques-a-review/)
- [Variation of water level in Dongting Lake over a 50-year period: Implications for the impacts of anthropogenic and climatic factors](https://scholariq.org/papers/variation-of-water-level-in-dongting-lake-over-a-50-year-period-implications-for/)
- [Groundwater level prediction using machine learning algorithms in a drought-prone area](https://scholariq.org/papers/groundwater-level-prediction-using-machine-learning-algorithms-in-a-drought/)
- [An interpretable machine learning approach based on DNN, SVR, Extra Tree, and XGBoost models for predicting daily pan evaporation](https://scholariq.org/papers/an-interpretable-machine-learning-approach-based-on-dnn-svr-extra-tree-and/)
- [Prediction of irrigation groundwater quality parameters using ANN, LSTM, and MLR models](https://scholariq.org/papers/prediction-of-irrigation-groundwater-quality-parameters-using-ann-lstm-and-mlr/)
- [Water quality index modeling using random forest and improved SMO algorithm for support vector machine in Saf-Saf river basin](https://scholariq.org/papers/water-quality-index-modeling-using-random-forest-and-improved-smo-algorithm-for/)
- [Efficient Prediction of Water Quality Index (WQI) Using Machine Learning Algorithms](https://scholariq.org/papers/efficient-prediction-of-water-quality-index-wqi-using-machine-learning/)
- [Estimation of water quality index using artificial intelligence approaches and multi-linear regression](https://scholariq.org/papers/estimation-of-water-quality-index-using-artificial-intelligence-approaches-and/)
- [Machine-learning- and deep-learning-based streamflow prediction in a hilly catchment for future scenarios using CMIP6 GCM data](https://scholariq.org/papers/machine-learning-and-deep-learning-based-streamflow-prediction-in-a-hilly/)
- [Mathematical and Machine Learning Models for Groundwater Level Changes: A Systematic Review and Bibliographic Analysis](https://scholariq.org/papers/mathematical-and-machine-learning-models-for-groundwater-level-changes-a/)
- [Parallel genetic algorithms for optimizing the SARIMA model for better forecasting of the NCDC weather data](https://scholariq.org/papers/parallel-genetic-algorithms-for-optimizing-the-sarima-model-for-better/)
- [An innovative decision making method for air quality monitoring based on big data-assisted artificial intelligence technique](https://scholariq.org/papers/an-innovative-decision-making-method-for-air-quality-monitoring-based-on-big/)
- [Water Quality Assessment Through Predictive Machine Learning](https://scholariq.org/papers/water-quality-assessment-through-predictive-machine-learning/)

## Topic primary papers

- [Groundwater level prediction using machine learning algorithms in a drought-prone area](https://scholariq.org/papers/groundwater-level-prediction-using-machine-learning-algorithms-in-a-drought/)
- [An interpretable machine learning approach based on DNN, SVR, Extra Tree, and XGBoost models for predicting daily pan evaporation](https://scholariq.org/papers/an-interpretable-machine-learning-approach-based-on-dnn-svr-extra-tree-and/)
- [Prediction of irrigation groundwater quality parameters using ANN, LSTM, and MLR models](https://scholariq.org/papers/prediction-of-irrigation-groundwater-quality-parameters-using-ann-lstm-and-mlr/)
- [Water quality index modeling using random forest and improved SMO algorithm for support vector machine in Saf-Saf river basin](https://scholariq.org/papers/water-quality-index-modeling-using-random-forest-and-improved-smo-algorithm-for/)
- [Estimation of water quality index using artificial intelligence approaches and multi-linear regression](https://scholariq.org/papers/estimation-of-water-quality-index-using-artificial-intelligence-approaches-and/)
- [Mathematical and Machine Learning Models for Groundwater Level Changes: A Systematic Review and Bibliographic Analysis](https://scholariq.org/papers/mathematical-and-machine-learning-models-for-groundwater-level-changes-a/)
- [A Survey on Data-Driven Runoff Forecasting Models Based on Neural Networks](https://scholariq.org/papers/a-survey-on-data-driven-runoff-forecasting-models-based-on-neural-networks/)
- [Comparison of neural network configurations in the long-range forecast of southwest monsoon rainfall over India](https://scholariq.org/papers/comparison-of-neural-network-configurations-in-the-long-range-forecast-of/)
- [A Machine Learning-Based Model for Predicting Temperature Under the Effects of Climate Change](https://scholariq.org/papers/a-machine-learning-based-model-for-predicting-temperature-under-the-effects-of/)
- [Short-term spatio-temporal forecasting of air temperatures using deep graph convolutional neural networks](https://scholariq.org/papers/short-term-spatio-temporal-forecasting-of-air-temperatures-using-deep-graph/)
- [An optimized explainable artificial intelligence approach for sustainable clean water](https://scholariq.org/papers/an-optimized-explainable-artificial-intelligence-approach-for-sustainable-clean/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.