The influence of hedgerow systems on the hydrology of agricultural catchments in a temperate climate
Mérot, Philippe
openalex +2 more sources
Editorial: Advances in understanding the interplay of soil carbon, iron, and arsenic transformation. [PDF]
Yuan ZF, Tan X, Zhai W, Gustave W.
europepmc +1 more source
Flood Risk Communications Through Maps: Challenges, Perception Theories and Approaches
ABSTRACT Flood risk communication is a core component of flood risk management, yet persistent challenges limit its effectiveness in supporting public understanding, preparedness and adaptive behaviour. Here, we examine flood risk maps as communication tools at the interface of scientific modelling, visual design, and human risk perception.
Nimra Yousaf +2 more
wiley +1 more source
Digital soil mapping in support of voluntary carbon market programs in agricultural land. [PDF]
Kellner JR +8 more
europepmc +1 more source
ABSTRACT Accurate runoff forecasting is essential for flood prediction and disaster preparedness amid increasing hydrological extremes driven by climate change. While deep learning models offer high efficiency, most interpretability studies focus on single models.
Ziru Yang +5 more
wiley +1 more source
Improving stage-discharge relationship modeling accuracy using a hybrid ViT-CNN framework. [PDF]
Feizi H, Sattari MT, Milewski A.
europepmc +1 more source
Origins of Precipitation in the World's Water Towers
Abstract High‐mountain systems act as the planet's vital water towers, sustaining freshwater supplies for billions of people. Climate change is exacerbating hydrological imbalances in these regions, yet the moisture sources maintaining their precipitation—the primary water input—remain poorly quantified.
Bomei Zhang +3 more
wiley +1 more source
Measuring Fluxes of Nitrous Oxide (N<sub>2</sub>O) From an Intensively Farmed Wasted Peatland Field in the UK Using the Eddy Covariance Method. [PDF]
Cowan N +5 more
europepmc +1 more source
“Hearing” Wind Speed: Ground Wind Measurement Using Deep Learning From Surveillance Audio
Abstract This study presents a novel method for measuring ground wind speed (WS) using audio data collected from surveillance cameras. The continuous wavelet transform is employed to model wind sounds and capture the dynamic variations over time. A deep‐learning model integrating attention‐enhanced Convolutional Neural Network and Bidirectional Gated ...
Xing Wang +4 more
wiley +1 more source

