The geometry of alluvial river channels both controls and adjusts to the flow of water and
sediment within them. This feedback between flow and form modulates flood risk, and the …

We propose a new architecture based on a fully connected feed-forward Artificial Neural
Network (ANN) model to estimate surface soil moisture from satellite images on a large …

One of the simplest questions in riverine science remains unanswered:“What determines the
width of rivers?” While myriad environmental and geological factors have been proposed to …

North Bihar is one of the most flood-affected regions of India. Frequent flooding caused
significant loss of life and severe economic damages. In this study, hydroclimatic conditions …

We apply the Support Vector Regression (SVR) machine learning model to estimate surface
roughness on a large alluvial fan of the Kosi River in the Himalayan Foreland from satellite …

More than a century of experiments have demonstrated that many features of natural rivers
can be reproduced in the laboratory. Here, we revisit some of these experiments to cast their …

The present paper utilizes the Google Earth Engine (GEE) cloud computing platform and
hydro-morphological dataset to understand the complex process-form relationships of the …

Abstract The Koshi River is a dynamic river; due to its frequent course change, it presents a
challenge in terms of long and recurring flood hazard. The braiding pattern can be easily …

Gravel-bedded rivers organize their bank-full channel geometry and grain size such that
shear stress is close to the threshold of motion. Sand-bedded rivers, on the other hand …

We use surface soil moisture content as a proxy to assess the effect of drainage congestion
due to structural barriers on the alluvial Fan of the Kosi River on the Himalayan Foreland …