Heat is a powerful tracer to quantify fluid exchange between surface water and groundwater. Temperature time series can be used to estimate pore water fluid flux, and techniques can …
AD Mehr, E Kahya, E Olyaie - Journal of Hydrology, 2013 - Elsevier
Accurate prediction of streamflow is an essential ingredient for both water quantity and quality management. In recent years, artificial intelligence (AI) techniques have been …
Y Fang, T Zheng, X Zheng, H Peng, H Wang… - Journal of …, 2020 - Elsevier
To explore the impact of groundwater hydrodynamics on water quality, a cost-effective geospatial model was developed using geographic information system (GIS) technology …
Drought forecasting is an essential ingredient for drought risk and sustainable water resources management. Due to increasing water demand and looming climate change …
This study investigates the effect of discrete wavelet transform data pre-processing method on neural network-based successive-station monthly streamflow prediction models. For this …
The use of temperature‐time series measured in streambed sediments as input to coupled water flow and heat transport models has become standard when quantifying vertical …
GC Rau, MO Cuthbert, AM McCallum… - Journal of …, 2015 - Wiley Online Library
Amplitude decay and phase delay of oscillating temperature records measured at two vertical locations in near‐surface sediments can be used to infer water fluxes, thermal …
H Liu, Y Yu, W Zhao, L Guo, J Liu… - Water Resources …, 2020 - Wiley Online Library
Preferential flow (PF)‐dominated soil structure is often considered a unique system consisting of micropores and macropores and thus supposed to provide dual‐pore filtering …
N Amantai, J Ding - Remote Sensing, 2021 - mdpi.com
LST (Land surface temperature) is an important indicator for monitoring dynamic changes in the earth's resources and environment. However, the complexity of obtaining long-term …