Water-sediment regulation scheme of the Xiaolangdi Dam influences redistribution and accumulation of heavy metals in sediments in the middle and lower reaches of the Yellow River

Zhao, Qinghe; Ding, Shengyan; Lu, Xunling; Guofu, Liang; Hong, Zhendong; Lu, Mengwen; Jing, Yaru

doi:10.1016/j.catena.2021.105880

Cited by 21 publications

(1 citation statement)

References 43 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The second most important F.G. was Dams. Dams and their associated reservoirs have been found in other studies to affect sediment and sediment chemistry [45,46]. As potential matter and pollution sinks in the course of streams, they can significantly impact their discharge's water and sediment chemistry.…”

Section: Discussionmentioning

confidence: 99%

Ranking of Basin-Scale Factors Affecting Metal Concentrations in River Sediment

Lotz

Opp

2022

Applied Sciences

View full text Add to dashboard Cite

River sediments often contain potentially harmful pollutants such as metals. Much research has been conducted to identify factors involved in sediment concentrations of metals. While most metal pollution studies focus on smaller scales, it has been shown that basin-scale parameters are powerful predictors of river water quality. The present study focused on basin-scale factors of metal concentrations in river sediments. The study was performed on the contiguous USA using Random Forest (R.F.) to analyze the importance of different factors of the metal pollution potential of river sediments and evaluate the possibility of assessing this potential from basin characteristics. Results indicated that the most important factors belonged to the groups Geology, Dams, and Land cover. Rock characteristics (contents of K2O, CaO, and SiO2) and reservoir drainage area were strong factors. Vegetation indices were more important than land cover types. The response of different metals to basin-scale factors varied greatly. The R.F. models performed well with prediction errors of 16.5% to 28.1%, showing that basin-scale parameters hold sufficient information for predicting potential metal concentrations. The results contribute to research and policymaking dependent on understanding large-scale factors of metal pollution.

show abstract

Section: Discussionmentioning

confidence: 99%