Update of Empirical Models for Predicting Specific Degradation in South Korea and Future Sediment Management Considering Climate Change

W Kang, B So, S Kim, JH Lee, E Jang… - KSCE Journal of Civil …, 2024 - Springer
In this study, the existing empirical models for sediment management for ungauged
watersheds in South Korea developed in 2019 were updated. The existing models were …

[HTML][HTML] Predicting Suspended Sediment Transport in Urbanised Streams: A Case Study of Dry Creek, South Australia

TG Andualem, GA Hewa, BR Myers, J Boland, S Peters - Hydrology, 2024 - mdpi.com
Sediment transport in urban streams is a critical environmental issue, with significant
implications for water quality, ecosystem health, and infrastructure management. Accurately …

Use of Underwater-Image Color to Determine Suspended-Sediment Concentrations Transported to Coastal Regions

W Kang, K Lee, S Kim - Applied Sciences, 2023 - mdpi.com
The amount of suspended sediment transported from rivers to the ocean fluctuates over
time, with a substantial increase occurring during storm events. This surge in sediment …

Review of Land Cover Classification Potential in River Spaces Using Satellite Imagery and Deep Learning-Based Image Training Method

K Woochul - Ecology and Resilient Infrastructure, 2022 - koreascience.kr
This study attempted classification through deep learning-based image training for land
cover classification in river spaces which is one of the important data for efficient river …

Evaluation of the Performance of the Image Processing Method in Estimating the Concentration of Surface Suspended Sediments in Coastal Zones

A Valipour, H Shirgahi - Hydrophysics, 2023 - hydrophysics.ir
Measuring the concentration of sediments on beaches is of particular importance in line with
the implementation of beach management plans. Coastal currents, especially those caused …

[PDF][PDF] 딥러닝기반이미지트레이닝을활용한하천공간내피복분류가능성검토

강우철, 장은경 - Ecology and Resilient Infrastructure, 2022 - static4.apub.kr
본 연구는 효율적인 하천 관리를 위해 중요한 데이터 중 하나인 하천 공간의 토지피복 분류를
위해 딥 러닝 기반의이미지 트레이닝 방법의 활용가능성을 검토하였다. 이를 위해 대상 구간의 …

Estimation of channel morphology using RGB orthomosaic images from drone-focusing on the Naesung stream

J Eun-Kyung - Journal of the Korean Association of Geographic …, 2022 - koreascience.kr
In this study, a comparative review was conducted on how to use RGB images to obtain river
topographic information, which is one of the most essential data for eco-friendly river …