Da Huo

Da Huo

Researcher interested in climate change, carbon emissions, Earth science, data science and AI. Tsinghua University, U of Toronto

Publications

You can also find my articles on my Google Scholar profile.

How do we decarbonize one billion vehicles by 2050? Insights from a comparative life cycle assessment of electrifying light-duty vehicle fleets in the United States, China, and the United Kingdom

Published in Energy Policy, Huo, D., Davies, B., Li, J., Alzaghrini, N., ... MacLean H. L. , 2024

In this paper, we model decarbonization pathways for light-duty vehicle fleets in the U.S., China, and the U.K. through electrification. We use life cycle assessment (LCA) based GHG modeling and customized LMDI decomposition to evaluate emissions drivers across life cycle stages and countries, to inform effective decarbonization policy decisions.

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Smart dispatching for low-carbon mining fleet: A deep reinforcement learning approach

Published in Journal of Cleaner Production, Huo, D., Sari, Y.A., Zhang, Q. , 2024

In this paper, we present an improved version of the AI-based (deep Q network) smart dispatching system for reducing GHG emissions from mining fleets, we also highlight AI s low cost and near-term feasibility in decarbonization as compared to electrification and carbon capture storage

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Near-real-time daily estimates of fossil fuel CO2 emissions from major high-emission cities in China

Published in Scientific Data, Huo, D., Liu, K., Liu, J., ... , Liu, Z. , 2022

In this paper, we present present Carbon Monitor Cities-China (CMCC), a near-real-time dataset of daily CO2 emissions from fossil fuel and cement production for 48 major high-emission cities in China. CMCC is developed based on an innovative framework that integrates bottom-up inventory construction and daily emission estimates from sectoral activities and models.

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Near-real-time Global Gridded Daily CO2 Emissions

Published in The Innovation, Xinyu Dou, Yilong Wang, Philippe Ciais, Frédéric Chevallier, Steven J Davis, Monica Crippa, Greet Janssens-Maenhout, Diego Guizzardi, Efisio Solazzo, Feifan Yan, Da Huo, Zheng Bo, Biqing Zhu, Duo Cui, Piyu Ke, Taochun Sun, Hengqi Wang, Qiang Zhang, Pierre Gentine, Zhu Deng, Zhu Liu, 2021

In this paper, we present the first near-real-time Global Gridded Daily CO2 Emissions Dataset (GRACED) from fossil fuel and cement production with a global spatial-resolution of 0.1° by 0.1° and a temporal-resolution of 1-day.

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Modeling the Feedbacks Between Surface Ablation and Morphological Variations on the Debris-Covered Baltoro Glacier in the Central Karakoram

Published in Geomorphology, Huo, D., Bishop, M. P., Young, B. W. & Chi, Z., 2021

This paper focuses on feedbacks between glacier surface melt, topography and debris transport.Other findings include: 1 Numerical models are developed to study the feedbacks on glacier surface. 2 Gravitational process on an evolving topography redistributes debris thickness. 3 Ice loss on a bare-ice glacier is sensitive to topographic shading. 4 Complex surface topography may enhance ice loss on a debris-covered glacier.

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Understanding Complex Debris-Covered Glaciers: Concepts, Issues and Research Directions

Published in Frontiers in Earth Science, Huo, D., Bishop, M. P. & Bush, A., 2021

This paper is about glacier modeling. Our results demonstrate that climate forcing, the properties and transport of debris, topography and supraglacial water bodies are the key controlling factors in a debris-covered glacier system, and that their coupled effects and positive feedbacks may increase the ice loss of a debris-covered glacier. We also recommend new research directions for future studies.

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Modeling Surface Processes on Debris-Covered Glaciers: A Review with Reference to the High Mountain Asia

Published in Water, Huo, D., Chi, Z. & Ma, A., 2021

This review summarizes our current knowledge of surface processes on debris-covered glaciers with an emphasis on the related modeling efforts. We present an integrated view on how numerical modeling provide insights into glacier surface ablation, supraglacial debris transport, morphological variation, pond dynamics, and ice-cliff evolution. We also highlight the remote sensing approaches that facilitate modeling, and discuss the limitations of existing models regarding their capabilities to address coupled processes on debris-covered glaciers and suggest research directions.

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Numerical Modeling Issues for Understanding Complex Debris-Covered Glaciers

Published in Treatise on Geomorphology. Reference Module in Earth Systems and Environmental Sciences, Huo, D., Bishop, M. P., Young, B. W., & Chi, Z., Haritashya, U. K., 2020

This paper is addresses glacier modeling issues for characterizing surface energy balance, ablation, meltwater production, supraglacial debris fluxes, ice-flow dynamics and glacial erosion. We highlight numerous modeling issues regarding specific processes, subsystem coupling and feedbacks, model input and validation, and identify research directions for future studies.

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Spatial Analysis and Modeling in Geomorphology

Published in Reference Module in Earth Systems and Environmental Science, Bishop, M. P., Young, B. W., Huo, D., & Chi, Z., 2020

This paper is about utilizing high-resolution geospatial datasets for investigating and mapping landforms and geomorphological systems.

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Embracing Crowdsensing: An Enhanced Mobile Sensing Solution for Road Anomaly Detection

Published in ISPRS International Journal of Geo-Information, Li, X., Huo, D., Goldberg, D. W., Chu, T., Yin, Z., & Hammond, T. , 2019

This paper is about a mobile app we developed for road anomaly detection. This study suggests that implementing a crowdsensing solution could substantially improve the effectiveness of traditional road monitoring systems.

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High-Resolution UAS Imagery in Agricultural Research Concepts, Issues, and Research Directions

Published in High Spatial Resolution Remote Sensing, Bishop, M. P., Bagavathiannan, M. V., Cope, D. A., Huo, D., Murray, S. C., Olsenholler, J. A., Rooney, W. L., Thomasson, J. A., Valasek, J., Young, B. W., Filippi, A. M., Hays, D. B., Malambo, L., Popescu, S., Rajan, N., Singh, V., McCutchen, B., Avant, B., & Vidrine, M., 2018

This paper is about unmanned aerial systems (UASs) imageries and the related applications.

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