Spatiotemporal assessment of groundwater quality and quantity using geostatistical and ensemble artificial intelligence tools

V Nourani, A Ghaffari, N Behfar, E Foroumandi… - Journal of …, 2024 - Elsevier
The study investigated the spatiotemporal relationship between surface hydrological
variables and groundwater quality/quantity using geostatistical and AI tools. AI models were …

[HTML][HTML] Enhancing river flow predictions: Comparative analysis of machine learning approaches in modeling stage-discharge relationship

O Kisi, HM Azamathulla, F Cevat, C Kulls… - Results in …, 2024 - Elsevier
Streamflow, a pivotal variable in water resources management, holds profound significance
in shaping the decision-making processes of hydrologic projects. This paper tries to delve …

[HTML][HTML] Novel time-lag informed deep learning framework for enhanced streamflow prediction and flood early warning in large-scale catchments

K Ma, D He, S Liu, X Ji, Y Li, H Jiang - Journal of Hydrology, 2024 - Elsevier
Constrained by the sparsity of observational streamflow data, large-scale catchments face
pressing challenges in streamflow prediction and flood management amid climate change …

[HTML][HTML] Analysis of the responses of surface water resources to climate change in arid and semi-arid area

J Wang, C Cui, Z Jia, M Liu, S Pang, K Zhai - Agricultural Water …, 2024 - Elsevier
About 70% of water withdrawals in the Yellow River Basin (YRB) are used for irrigation, and
deeply explanation of the effects of climate change on runoff in the YRB provides a …

Robust clustering-based hybrid technique enabling reliable reservoir water quality prediction with uncertainty quantification and spatial analysis

M Fooladi, MR Nikoo, R Mirghafari… - Journal of …, 2024 - Elsevier
Abstract Machine learning methodology has recently been considered a smart and reliable
way to monitor water quality parameters in aquatic environments like reservoirs and lakes …

Assessment of land use/land cover change derived catchment hydrologic response: An integrated parsimonious hydrological modeling and alteration analysis based …

SS Dash, B Naik, PS Kashyap - Journal of Environmental Management, 2024 - Elsevier
Land use/land cover (LULC) change, often a consequence of natural or anthropogenic
drivers, plays a decisive role in governing global catchment dynamics, and subsequent …

Analyzing spatio-temporal variability of aquatic productive components in Northern Bay of Bengal using advanced machine learning models

J Karmakar, I Mondal, SKA Hossain, F Jose… - Ocean & Coastal …, 2024 - Elsevier
This study documents a novel method for tracking spatio-temporal variability of productivity-
related elements, including particulate organic carbon (POC), particular inorganic carbon …

Retrieval of sea ice thickness from FY-3E data using Random Forest method

H Li, Q Yan, W Huang - Advances in Space Research, 2024 - Elsevier
In this study, we employ a Random Forest approach to estimate sea ice thickness (SIT)
using Fengyun-3E (FY-3E) and Soil Moisture Ocean Salinity (SMOS) data. This method …

Multi-gauge calibration comparison for simulating streamflow across the Major River Basins in Madagascar: SWAT+ Toolbox, R-SWAT, and SWAT+ Editor Hard …

RZ Harifidy, I Hiroshi, S Kazuyoshi, M Jun… - Hydrology …, 2024 - iwaponline.com
This paper aims to improve the Soil and Water Assessment Tool (SWAT) model performance
across the Major River Basins in Madagascar (MRBM), specifically for SWAT simulation in …

Watershed water policy based on a glacier water service perspective in the typical glacier basins, Western China

Z Sun, S Wang, L Wang - Hydrology Research, 2024 - iwaponline.com
Abstract Taking the Yangtze River Source Basin (YRSB) and Shule River Basin (SRB) as
two typical cases, the sustainability of the water resources in these two basins was …