Interpretability of simple RNN and GRU deep learning models used to map land susceptibility to gully erosion

H Gholami, A Mohammadifar, S Golzari, Y Song… - Science of the Total …, 2023 - Elsevier
Gully erosion possess a serious hazard to critical resources such as soil, water, and
vegetation cover within watersheds. Therefore, spatial maps of gully erosion hazards can be …

[HTML][HTML] Exploring forest fire susceptibility and management strategies in Western Himalaya: Integrating ensemble machine learning and explainable AI for accurate …

HT Hang, J Mallick, S Alqadhi, AA Bindajam… - … Technology & Innovation, 2024 - Elsevier
Forest fires pose a significant threat to ecosystems and socio-economic activities,
necessitating the development of accurate predictive models for effective management and …

Interpreting optimised data-driven solution with explainable artificial intelligence (XAI) for water quality assessment for better decision-making in pollution …

J Mallick, S Alqadhi, HT Hang, M Alsubih - Environmental Science and …, 2024 - Springer
Abstract In Saudi Arabia, water pollution and drinking water scarcity pose a major challenge
and jeopardise the achievement of sustainable development goals. The urgent need for …

A GIS-based modified PAP/RAC model and Caesium-137 approach for water erosion assessment in the Raouz catchment, Morocco

L Ed-Daoudy, M Moustakim, M Benmansour… - Environmental …, 2024 - Elsevier
Water erosion poses a significant environmental threat in the Mediterranean region, with
pronounced impacts observed throughout Morocco. It impairs soil quality and disrupts both …

Develo** a hybrid deep learning model with explainable artificial intelligence (XAI) for enhanced landslide susceptibility modeling and management

S Alqadhi, J Mallick, M Alkahtani, I Ahmad, D Alqahtani… - Natural Hazards, 2024 - Springer
Landslides in the Nainital district of Uttarakhand, India, pose a significant threat to human
communities and local ecosystems. This study aims to improve landslide susceptibility …

Estimación de volúmenes de sedimentos por erosión hídrica empleando el modelo RUSLE en cuencas de la provincia de Manabí, Ecuador

G Casanova-Ruiz, D Delgado… - Revista de Teledetección, 2024 - riunet.upv.es
[ES] La producción de sedimentos por erosión hídrica es un tema de gran interés debido a
que su desconocimiento puede representar graves peligros para las comunidades e …

Quantitative assessment of morphometry and GIS integrated RUSLE model-based soil loss estimation from Pahuj river basin, central India

SC Bhatt, NK Rana, A Patel, SK Singh, SK Sahu… - Proceedings of the …, 2024 - Springer
In this study the morphometric indices of the Pahuj river basin (PRB) were evaluated by
applying remote sensing and GIS. The Shuttle Radar Topographic Mission (SRTM) based …

Assessment of soil erosion risk and vulnerability in the transboundary Sio-Malaba-Malakisi watershed in Kenya and Uganda

S Chasia, LO Olang, C Bess, J Kimuyu… - Journal of Environmental …, 2024 - Elsevier
Persistent soil erosion poses a significant threat to water quality, ecosystem viability and soil
health in many regions of the world. Addressing this challenge requires a comprehensive …

Using an interpretable deep learning model for the prediction of riverine suspended sediment load

Z Mohammadi-Raigani, H Gholami… - … Science and Pollution …, 2024 - Springer
The prediction of suspended sediment load (SSL) within riverine systems is critical to
understanding the watershed's hydrology. Therefore, the novelty of our research is …

[HTML][HTML] Towards a more comprehensive scenario analysis: Response of soil erosion to future land use and climate change in the Central Yunnan Urban …

D Ma, S Peng, Z Lin - Journal of Environmental Management, 2025 - Elsevier
Rapid urbanization and climate change exacerbate soil erosion globally, threatening
ecosystem services and sustainable development. However, current predictive studies on …