Impacts of deforestation and oil palm plantation on the runoff-processes in humid tropical Sumatra, Indonesia

PI: Dr. T. Sayama
Funded by Kaken [website]

Our group aims to develop a rainfall-runoff model for humid tropics and to assess the impact of land-use and climate change on flooding in Sumatra, Indonesia.

I investigated soil properties and runoff characteristics in forest and oil palm land, by analyzing groundwater and soil moisture records, conducting soil experiments, and simulating the vertical infiltration.

Quantifying temporal surface-subsurface dynamics from in-situ soil moisture network observation under different land uses

Advisor: Dr. H. McMillan

My Master’s thesis aims to capture the dynamic signatures of soil moisture around the globe. By analyzing soil moisture data observed through clusters of sensors, the research addresses the question: how does the soil moisture respond to rainfall and climate variability under diverse land-uses? I hope to expand the methodology and findings to remotely-sensed soil moisture data by satellite in the future study.

Canyon flow analysis with particle velocity imagery (PIV) technique in San Diego

PI: Dr. H.McMillan
[Movie for outreaching]

Our group is analyzing the hydrological, landscape, and geomorphological effects on the flood response of urban rivers in arid San Diego. The work will assess the effectiveness and uncertainties of PIV technique in a longitudinal survey.

I am working on the setting and assessment of the field sites and  flow analysis with particle velocity imagery.


Snowmelt processes in the National Water Model during extreme Atmospheric River events

Intern advisor: Dr. H. McMillan, Dr. Ty Brandt, Dr. Edwin Sumargo, Dr. Forest Cannon
Funded by NOAA

I am doing internship at Center for Western Weather and Water Extremes at UC San Diego on a project to improve prediction of rapid snowmelt caused by Rain-on-Snow events in the Sierra Nevada and Cascade mountains.

I am working on reviewing literature and compiling hydro-climatic data on Oregon and Washington watersheds. The data will be useful to assess the impacts of snow data quality on the accuracy of rain-on-snow detection.

Isotope streamflow analysis in semi-arid urban region, San Diego

PI: Dr. H. McMillan

Our group is working on the identifying source of water in highly modified urban rivers in arid San Diego with isotope analysis EMMA.

I am assisting the data cleaning and literature review about uncertainty in EMMA procedure.