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Article detail · 2017 · article

Empirical Sediment Transport Models Based on Indoor Rainfall Simulator and Erosion Flume Experimental Data

ISSN1085-3278
YÖKSİS OpenAlex Open access · bronze Top 10%
Year2017
Citations26OpenAlex
Citations27Semantic Scholar · 2 influential
Percentile%93.0
FWCI4.151.00 = world average
Scopus (SJR)Q1
WoS (JCR)Q1

Data source split

  • YÖKSİSYÖKSİS article record
  • YÖKSİS venueLand Degradation Development
  • Catalog match (ISSN)Land Degradation and Development
  • OpenAlexOpenAlex enrichment (abstract, citations, topics)
  • Semantic Scholarcitation count (not merged with OpenAlex)

Abstract

OpenAlex English

Abstract Land degradation processes start with accelerated runoff and sediment delivery. In this study, rainfall‐runoff induced sediment transport is investigated using data from an indoor laboratory experimental setup consisting of a rainfall simulator and an erosion flume. The data are analysed to develop empirical models using sediment discharge, slope, flow discharge, rainfall intensity and sediment size. Fine and medium sands are considered as bare soil in experiments. Four rainfall intensities (45, 65, 85 and 105 mm h−1) are applied with combinations of lateral and longitudinal slopes of 5%, 10%, 15% and 20%. Eighty experiments are conducted. Flow is measured, and sediment within flow is separated and weighted. Experimental data are used for developing empirical models through multiple regression with parameters optimized by genetic algorithm. Results show that slope is the main contributing variable to the sediment transport over hillslopes. Accommodating variables among slope, rainfall intensity, flow discharge and median diameter of sediment as independent variables, one‐variable, two‐variable and four‐variable models are developed considering also that higher number of parameters increases the performance of the model with higher cost of parameterization. Copyright © 2016 John Wiley & Sons, Ltd.

Topics

Citations

OpenAlex cited_by_count. Not a WoS or Scopus citation count; those sources have no separate column here.

26citationsOpenAlex · cited_by_count (cache / database)

4 publications in the local catalog that cite this work (OpenAlex reference match; not the full global list).

  1. 2020 Prediction of rainfall runoff‐induced sediment load from bare land surfaces by generalized regression neural network and empirical modelCitations 7 · OpenAlex
  2. 2020 Prediction of rainfall runoff‐induced sediment load from bare land surfaces by generalized regression neural network and empirical modelCitations 7 · OpenAlex
  3. 2026 Flow–sediment interaction mechanisms and erosion regime dynamics at the interrill–rill transition under varying soil textures and simulated rainfallCitations 0 · OpenAlex
  4. 2026 Flow–sediment interaction mechanisms and erosion regime dynamics at the interrill–rill transition under varying soil textures and simulated rainfallCitations 0 · OpenAlex

Authors

3
  1. HAFZÜLLAH AKSOY İSTANBUL TEKNİK ÜNİVERSİTESİ 1
  2. EBRU ERİŞ EGE ÜNİVERSİTESİ 2
  3. GÖKMEN TAYFUR İZMİR YÜKSEK TEKNOLOJİ ENSTİTÜSÜ 3