Shike Zhang

Shike Zhang

SEAS PHD Student

University of Michigan

Biography

I’m now a PhD student in School for Environment and Sustainability, University of Michigan and an IGCB Graduate Fellow. I’m broadly interested in climate change and forecasting the impact of human activities to global phenology with ecological modeling. As a new PhD student, I’m now intending to enrich my knowledge in ecology and advanced statistical methods. I aim to use numerical models and simulations to analyze the feedbacks of human activities and alleviate the burden on ecosystem. I’m now guided by Dr. Kai Zhu. I graduated from Department of Environmental Science and Technology, Tongji University in 2022 with a Bachelor of Science in Environmental Science.

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Interests
  • Numerical Simulation
  • Ecological and Environmental Problems
  • Wildfire
  • Information Retrieval
Education
  • SEAS PhD Program, 2022 - present

    University of Michigan, Ann Arbor

  • BS in Environmental Science, 2018 - 2022

    Tongji University

Experience

Work: Wildfire-burning vegetation is a common feature of western US landscapes and has profound effects on ecosystems and livelihoods. These trends are exacerbated by land management and climate change, resulting in more frequent and severe burning. Despite their importance, we lack a quantitative understanding of the biomass and carbon dynamics driven by wildfires. To address this knowledge gap, I propose a study that will use cutting-edge remote sensing data to examine the decadal-long effects of wildfires on vegetation biomass and carbon.
Work: Wildfire-burning vegetation is a common feature of western US landscapes and has profound effects on ecosystems and livelihoods. These trends are exacerbated by land management and climate change, resulting in more frequent and severe burning. Despite their importance, we lack a quantitative understanding of the biomass and carbon dynamics driven by wildfires. To address this knowledge gap, I propose a study that will use cutting-edge remote sensing data to examine the decadal-long effects of wildfires on vegetation biomass and carbon.
Shanghai Institute of Pollution Control and Ecological Security
Research Assistant
Korea University
Exchange Student
Work: Analyzed data and helped to sort out the current situation of industrial structure, energy structure, water environment and development strategic planning of coastal countries.
Developed a new model to analyze the relationship between water qualities, both influent and effluent, and energy consumption of Wastewater treatment plants.

Skill: Environmental Impact Assessment; water-energy-carbon nexus; Python (Programming Language); MATLAB
Work: Technology of National Key Projects for Urban Water Environment ImprovementRevealed the whole process of how sludge changes after acidification + K2FeO4 conditioning, and explored the optimalvalue of dewatering effect, from the perspectives of EPS (Extracellular Polymeric Substances), particle size, type and content of organic matter.

Skill: Environmental Monitoring; UV/Vis Spectroscopy; IR Spectroscopy

Recent Posts

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Welcome 👋 this is my first post.

Publications

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(2023). Spatial and Temporal Modeling on Energy Consumption of Wastewater Treatment Based on Machine Learning Algorithms. In ES&T Water.

Project DOI

(2021). Novel Machine Learning-based Energy Consumption Model of Wastewater Treatment Plants. In ES&T Water.

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(2021). Preparation of a novel sludge-derived biochar by K2FeO4 conditioning to enhance the removal of Pb2+. In Colloid and Interface Science Communications.

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