https://github.com/atrcheema/ai4hydro

Documenting the use of artificial intelligence driven algorithms for solving hydrological and hydro-environmentla related problems.

https://github.com/atrcheema/ai4hydro

Repository

Documenting the use of artificial intelligence driven algorithms for solving hydrological and hydro-environmentla related problems.

https://github.com/AtrCheema/AI4Hydro/blob/master/

Following journals are tracked



[Advances in Water Resources](https://github.com/AtrCheema/AI4Hydro/tree/master/Advances_in_Water_Resources)

[Agricultural Water Management](https://github.com/AtrCheema/AI4Hydro/tree/master/Agricultural_Water_Management)

[ArXiv](https://github.com/AtrCheema/AI4Hydro/tree/master/ArXiv)

[Earth Surface Processes and Landforms](https://github.com/AtrCheema/AI4Hydro/tree/master/Earth_Surface_Processes_and_Landforms)

[Earth_System_Science_Data](https://github.com/AtrCheema/AI4Hydro/tree/master/Earth_System_Science_Data)

[Earch-Science Reviews](https://github.com/AtrCheema/AI4Hydro/tree/master/Earth-Science_Reviews)

[Environmental Impact Assessment](https://github.com/AtrCheema/AI4Hydro/tree/master/Environmental_Impact_Assessment)

[Environmental Modeling and Software](https://github.com/AtrCheema/AI4Hydro/tree/master/Environmental_Modeling_and_Software)

[Environmental Science and Pollution Research](https://github.com/AtrCheema/AI4Hydro/tree/master/Environmental_Science_and_Pollution_Research)

[Geophysical Research Letters](https://github.com/AtrCheema/AI4Hydro/tree/master/Geophysical_Research_Letters)

[Geoscientific Model Development](https://github.com/AtrCheema/AI4Hydro/tree/master/Geoscientific_Model_Development)

[Ground Water](https://github.com/AtrCheema/AI4Hydro/tree/master/Ground_Water)

[HESS](https://github.com/AtrCheema/AI4Hydro/tree/master/HESS)

[Hydrogeology Journal](https://github.com/AtrCheema/AI4Hydro/tree/master/Hydrogeology_Journal)

[Hydrological Processes](https://github.com/AtrCheema/AI4Hydro/tree/master/Hydrological_Processes)

[Hydrolological Sciences Journal](https://github.com/AtrCheema/AI4Hydro/tree/master/Hydrological_Sciences_Journal)

[Journal of Cleaner Production](https://github.com/AtrCheema/AI4Hydro/tree/master/Journal_of_Cleaner_Production)

[Journal of Contaminant Hydrology](https://github.com/AtrCheema/AI4Hydro/tree/master/Journal_of_Contaminant_Hydrology)

[Journal of Environmental Enginnering](https://github.com/AtrCheema/AI4Hydro/tree/master/Journal_of_Environmental_Engineering)

[Journal of Environmental Management](https://github.com/AtrCheema/AI4Hydro/tree/master/Journal_of_Environmental_Management)

[Journal of Environmental Quality](https://github.com/AtrCheema/AI4Hydro/tree/master/Journal_of_Environmental_Quality)

[Journal of Environmental Sciences](https://github.com/AtrCheema/AI4Hydro/tree/master/Journal_of_Environmental_Sciences)

[Journal of Hazardous Materials](https://github.com/AtrCheema/AI4Hydro/tree/master/Journal_of_Hazardous_Materials)

[Journal of Hydrology](https://github.com/AtrCheema/AI4Hydro/tree/master/Journal_of_Hydrology)

[Journal of Hydrology: Regional Studies](https://github.com/AtrCheema/AI4Hydro/tree/master/Journal_of_Hydrology_regional_studies)

[Journal of Geophysical Research](https://github.com/AtrCheema/AI4Hydro/tree/master/Journal_of_Geophysical_Research)

[Journal of Hydraulic Engineering](https://github.com/AtrCheema/AI4Hydro/tree/master/Journal_of_Hydraulic_Engineering)

[Journal of Hydrometeorology](https://github.com/AtrCheema/AI4Hydro/tree/master/Journal_of_Hydrometeorology)

[Knowledge Based Systems](https://github.com/AtrCheema/AI4Hydro/tree/master/Knowledge_Based_Systems)

[Mathematical Geosciences](https://github.com/AtrCheema/AI4Hydro/tree/master/Mathematical_Geosciences)

[Remote Sensing](https://github.com/AtrCheema/AI4Hydro/tree/master/Remote_Sensing)

[Natural Hazards and Earth System Sciences](https://github.com/AtrCheema/AI4Hydro/tree/master/Natural_Hazards_and_Earth_System_Sciences)

[Nature Scientific Data](https://github.com/AtrCheema/AI4Hydro/tree/master/Nature_Scientific_Data)

[Science of Total Environment](https://github.com/AtrCheema/AI4Hydro/tree/master/Science_of_Total_Environment)

[Water Research](https://github.com/AtrCheema/AI4Hydro/tree/master/Water_Research)

[Water Resources Management](https://github.com/AtrCheema/AI4Hydro/tree/master/Water_Resources_Management)

[Water Resources Research](https://github.com/AtrCheema/AI4Hydro/tree/master/Water_Resources_Research)

[Water](https://github.com/AtrCheema/AI4Hydro/tree/master/Water)

## Guide

| Citation           | explainable-AI | data   | code | hybrid |   reviews  |
|--------------------|----------------|--------|------|--------|------------|
| Sun, A. Y., Scanlon, B. R., Zhang, Z., Walling, D., Bhanja, S. N., Mukherjee, A., & Zhong, Z. (2019). Combining physically based modeling and deep learning for fusing GRACE satellite data: Can we learn from mismatch?. Water Resources Research, 55(2), 1179-1195. https://doi.org/10.1029/2018WR023333  |   ☑   | ☐ | ☐ | ☐  |  |

The ☑ for `explainable-AI` means the developed approach contributes towards explainable-AI in a loose sense. It includes, theory-driven, knowledge-driven, physics-driven, physics-guided, interpretable models.

The # ☑ for `data` means that the study either solely introduces new dataset or uses a pre-existing dataset but makes it open source through this study.

The ☑ for `code` the code to implement the paper is available. In such a case, a link is also provided here.

The ☑ for `hybrid` means the the developoed methodology is not a pure single machine/deep learning based rather it combines different deep learning and or machine learning approaches possible involving some physically-based model, driving the benefit from each other.

The `reviews` tab if available, will direct to any review/synopsis or presentation around the study.

## Contirbute

Your contributions especially if you made a review/comment about a particular paper and you want to share it with others like [this](https://github.com/AtrCheema/AI4Hydro/blob/master/Water/reviews/Prediction%20of%20Algal%20Chlorophyll-a%20and%20Water%20Clarity%20in%20Monsoon-Region.pdf) is highly always welcome.

Owner

GitHub Events