Erosion Measurement, Modeling, and Management

Challenges and Solutions

Abu Reza Md. Towfiqul Islam, Alban Kuriqi, Shakeel Ahmad Bhat, Ahmed Elbeltagi

• Publisher: Apple Academic Press
• Year: 2025
• Topic: Technology & Engineering
• eBook ISBN:
  9781040052600
• Subtopic: Agronomy
• Index: Technology & Engineering

Erosion control is a priority in the agriculture, construction, and conservation industries, as well as in land development applications. The everyday processes involved in these industries can often result in erosion and have a significant adverse impact on the surrounding ecology. These harmful impacts can be minimized by erosion control. This new book explores the erosion concerns and solutions for dealing with them. It addresses the impact and effects of changing land use and land cover on soil erosion and methods of assessing erosion, as well as ways to control different types of erosion. The use of models such as the WEPP model for estimating runoff and sediment yield, along with models to estimate runoff production patterns and soil erosion hazards are detailed. The book also discusses artificial neural networks and machine learning techniques (random forest), remote sensing data, and GIS for mapping soil erosion.

Table of contents

• Cover Page
• Half Title page
• Title Page
• Copyright Page
• Editors
• Contents
• Contributors
• Preface
• Chapter 1 Impact of Land Use and Land Cover Changes on Soil Erosion
• Chapter 2 Role of Mulching in Reducing Erosion
• Chapter 3 Assessment and Management of Wind Erosion
• Chapter 4 Assessing Erosion Using Hypsometric Analysis in Subarnarekha River Basin
• Chapter 5 Runoff and Sediment Monitoring Using the WEPP Model
• Chapter 6 USLE Method for Erosion Prediction and Conservation Measures at the Air Dingin Watershed of the Upstream Part in Padang City, Indonesia
• Chapter 7 Assessing Water Erosion Using the Soil Water Assessment Tool (SWAT)
• Chapter 8 Challenges and Limitations of Using Soil Erosion Models
• Chapter 9 Mapping Gully Erosion Susceptibility Using the Bayesian Weight of Evidence
• Chapter 10 Gully Erosion Susceptibility Modeling Using Machine Learning Models
• Chapter 11 Challenges and Limitations of Using Soil Erosion Models
• Index