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Improving the simulations of the hydrological model in the karst catchment by integrating the conceptual model with machine learning models
Hydrological modelling can be complex in nonhomogeneous catchments with diverse
geological, climatic, and topographic conditions. In this study, an integrated conceptual …
geological, climatic, and topographic conditions. In this study, an integrated conceptual …
[HTML][HTML] Advancing hydrology through machine learning: insights, challenges, and future directions using the CAMELS, caravan, GRDC, CHIRPS, PERSIANN, NLDAS …
Machine learning (ML) applications in hydrology are revolutionizing our understanding and
prediction of hydrological processes, driven by advancements in artificial intelligence and …
prediction of hydrological processes, driven by advancements in artificial intelligence and …
A critical review on multi-sensor and multi-platform remote sensing data fusion approaches: current status and prospects
Numerous remote sensing (RS) systems currently collect data about Earth and its
environments. However, each system provides limited data in terms of spatial resolution …
environments. However, each system provides limited data in terms of spatial resolution …
Leveraging machine learning and open-source spatial datasets to enhance flood susceptibility map** in transboundary river basin
Floods pose devastating effects on the resiliency of human and natural systems. flood risk
management challenges are typically complicated in the transboundary river basin due to …
management challenges are typically complicated in the transboundary river basin due to …
GIS-based flood susceptibility map** using bivariate statistical model in Swat River Basin, Eastern Hindukush region, Pakistan
Frequent flooding can greatly jeopardize local people's lives, properties, agriculture,
economy, etc. The Swat River Basin (SRB), in the eastern Hindukush region of Pakistan, is a …
economy, etc. The Swat River Basin (SRB), in the eastern Hindukush region of Pakistan, is a …
[HTML][HTML] Flood susceptibility map** using SAR data and machine learning algorithms in a small watershed in northwestern Morocco
Flood susceptibility map** plays a crucial role in flood risk assessment and management.
Accurate identification of areas prone to flooding is essential for implementing effective …
Accurate identification of areas prone to flooding is essential for implementing effective …
A novel multi-strategy hydrological feature extraction (MHFE) method to improve urban waterlogging risk prediction, a case study of Fuzhou City in China
Reliable hydrological data ensure the precision of the urban waterlogging simulation. To
reduce the simulation error caused by insufficient basic data, a multi-strategy method …
reduce the simulation error caused by insufficient basic data, a multi-strategy method …
[HTML][HTML] Integration of watershed eco-physical health through algorithmic game theory and supervised machine learning
The eco-physical health assessment of watersheds is crucial for sustainable water resource
management and ecosystem services. This study quantifies the eco-physical health of the …
management and ecosystem services. This study quantifies the eco-physical health of the …
[HTML][HTML] SHAP-powered insights into spatiotemporal effects: Unlocking explainable Bayesian-neural-network urban flood forecasting
W Chu, C Zhang, H Li, L Zhang, D Shen, R Li - International Journal of …, 2024 - Elsevier
Given the increased incidence of pluvial floods due to climate change and urbanization, the
demand for highly efficient and accurate modeling within urban drainage systems has …
demand for highly efficient and accurate modeling within urban drainage systems has …
Leveraging GIS-based AHP, remote sensing, and machine learning for susceptibility assessment of different flood types in peshawar, Pakistan
M Tayyab, M Hussain, J Zhang, S Ullah, Z Tong… - Journal of …, 2024 - Elsevier
Due to its diverse topography, Pakistan faces different types of floods each year, which
cause substantial physical, environmental, and socioeconomic damage. However, the …
cause substantial physical, environmental, and socioeconomic damage. However, the …