Sihui Wen

School of Geography and Planning

PhD Candidate

Sihui Wen
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Sihui Wen
School of Geography and Planning
Geography and Planning Building
Winter Street
S3 7ND

As a PhD student, Sihui joined the department in 2019 after studying Applied Remote Sensing and GIS. 

Thesis title: Understanding Controls on Dust Emission in the Gonghe Basin. 

Dust is a significant part of the Earth's climate system. However, inherent seasonal and diurnal variability in dust emission from source regions along with apparent spatial heterogeneity with dust sources are both poorly constrained in global and mesoscale models due to inexact source allocation and quantification. Observations of dust source regions at the sub-basin scale, utilizing high-temporal/spatial resolution remote sensing data have been successful in deriving dust source and activation frequency data, but few studies exist globally at this scale. China contains some of the largest dust sources in the northern hemisphere, and has a long recorded history of dust emission. However, our understanding of processes occurring in these source regions remains incomplete. My PhD project aims to use synergistic remote sensing and climate data sets to determine the factors controlling dust emission within the Gonghe basin at the sub-basin scale. To achieve this, we use an integrated Remote Sensing (RS) data set to study dust emission. Firstly, we characterise the seasonal dust variability in Gonghe Basin, and climate data is used to quantify factors that control the nature and magnitude of dust emissions, improving the understanding and quantification of the complex spatial and temporal relationships among dust emission factors and the broader regional climate and human impacts. Then, we utilize a range of high spatial /temporal resolution RS data from PlanetScope, Sentinel-2, MODIS, and Himawari-8. to track and locate dust plumes, identify key geomorphological units responsible for dust emission, and determine dust emission mechanism associated with each event. The 10 case study provides a basis for long-term monitoring of dust emission from this basin using a combination of RS and field data. These data will be coupled with regional and basin-scale climate observations (wind speed, temperature, and vegetation) to provide a robust basis for characterizing dust emission controls at multiple scales.

Supervisor: Robert Bryant and Mark Bateman.


Sihui Wen obtained her BSc in Land Resources Management (First Degree)and Road Bridge and River-crossing Engineering (Double Degree) at the Inner Mongolia Agriculture University in Hohhot, China, 2012-2016. Then, she moved to the University of Sheffield where she completed an MSc course in Applied GIS in 2019. Following this, she undertook her PhD at the University of Sheffield with a thesis titled "Understanding Controls on Dust Emission in the Gonghe Basin, China", 2019-2023. Sihui as a Graduate Teaching Assistant in the Geography department at the University of Sheffield during 2021-2023. Supporting compute classes during which Undergraduate/Masters students will learn the software SPSS/MATLAB/Excel to undertake statistical analysis in the module GEO11005 Geographical skills and GEO61003 Quantitative Analysis. Also, Sihui helped with the remote sensing and GIS-related practical course, GEO21013 Geographical Information Systems and Earth Observation.

Teaching activities

GTA Course:GEO61003 Quantitative Analysis;GEO11005 Geographical Skills, Methods and Techniques