Publications by authors named "Shuai Si"

Floods are one of the most destructive disasters that cause loss of life and property worldwide every year. In this study, the aim was to find the best-performing model in flood sensitivity assessment and analyze key characteristic factors, the spatial pattern of flood sensitivity was evaluated using three machine learning (ML) models: Logistic Regression (LR), eXtreme Gradient Boosting (XGBoost), and Random Forest (RF). Suqian City in Jiangsu Province was selected as the study area, and a random sample dataset of historical flood points was constructed.

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Ground hardening in urban areas increases the risk of thermal enrichment in surface rainwater runoff. Moreover, the thermal pollution from rainwater runoff has become an important problem that damages the urban aquatic environment. Current studies have focused mainly on the potential hazard caused by runoff thermal pollution to aquatic microorganisms.

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To enhance the microbial fuel cell (MFC) for wastewater treatment and chemical oxygen demand degradation, TiO nanotubes arrays (TNA) are successfully synthesized on Ti foil substrate by the anodization process in HF and NHF solution, respectively (hereafter, denoted as TNA-HF and TNA-NF). The differences between the two kinds of TNA are revealed based on their morphologies and spectroscopic characterizations. It should be highlighted that 3D TNA-NF with an appropriate dimension can make a positive contribution to the high photocatalytic activity.

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Due to water shortage, municipal reclaimed water rather than surface water was replenished into recycling cooling water system in power plants in some cities in China. In order to understand the effects of the measure on carbon steel corrosion, characteristics of two kinds of foulant produced in different systems were studied in the paper. Differences between municipal reclaimed water and surface water were analyzed firstly.

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Synopsis of recent research by authors named "Shuai Si"

  • - Shuai Si's recent research focuses on environmental issues related to water management and pollution, utilizing advanced modeling techniques and materials to address challenges such as flood sensitivity and thermal pollution in urban runoff.
  • - In the 2024 study, Si compared Logistic Regression, eXtreme Gradient Boosting, and Random Forest models to assess flood sensitivity in Suqian City, revealing insights into key factors influencing flood risks.
  • - His earlier work explores the impact of low-impact development measures on thermal loads from urban stormwater, and the catalytic activity of TiO nanotube arrays in microbial fuel cells to enhance wastewater treatment, showcasing a commitment to innovative solutions in environmental engineering.