I am a PhD candidate at Stanford University in the Department of Civil and Environmental Engineering, with a focus on water resources planning and management. My current research focuses on the diversification of water supplies and policy solutions to enhance the reliability and resilience of urban water resources from a socio-hydrologic perspective. I have led and collaborated in various data-driven research projects through Stanford University’s Water in the West program and the NSF Engineering Research Center for Re-inventing the Nation’s Urban Water Infrastructure (ReNUWIt). My work uses geospatial analyses, statistical and economic principles, and interactive visualizations to examine the changing dynamics of water supply and demand in California, develop insights of the underlying human-water relationships, and design better decision-making tools. Prior to coming to Stanford, I was a researcher at the University of Arizona’s Superfund Research Program, where I conducted technical and analytical work as part of an interdisciplinary team at the science-policy interface of arsenic contamination in the environment.
A novel search algorithm for quantifying news media coverage as a measure of environmental issue salience
Environmental Modelling & Software
2018; 101: 249-255
View details for DOI 10.1016/j.envsoft.2017.12.012
- An integrative regional resilience framework for the changing urban water paradigm SUSTAINABLE CITIES AND SOCIETY 2017; 30: 128-138
Social and Structural Patterns of Drought-Related Water Conservation and Rebound
Water Resources Research
View details for DOI 10.1002/2017WR021852
The changing water cycle: impacts of an evolving supply and demand landscape on urban water reliability in the Bay Area
Wiley Interdisciplinary Reviews: Water
2017; 4 (6): e1240
View details for DOI 10.1002/WAT2.1240
Coordinating water conservation efforts through tradable credits: A proof of concept for drought response in the San Francisco Bay area
Water Resources Research
2017; 53 (9): 7662–7677
View details for DOI 10.1002/2017WR020636
Reconciling PM10 analyses by different sampling methods for Iron King Mine tailings dust.
Reviews on environmental health
2016; 31 (1): 37-41
The overall project objective at the Iron King Mine Superfund site is to determine the level and potential risk associated with heavy metal exposure of the proximate population emanating from the site's tailings pile. To provide sufficient size-fractioned dust for multi-discipline research studies, a dust generator was built and is now being used to generate size-fractioned dust samples for toxicity investigations using in vitro cell culture and animal exposure experiments as well as studies on geochemical characterization and bioassay solubilization with simulated lung and gastric fluid extractants. The objective of this study is to provide a robust method for source identification by comparing the tailing sample produced by dust generator and that collected by MOUDI sampler. As and Pb concentrations of the PM10 fraction in the MOUDI sample were much lower than in tailing samples produced by the dust generator, indicating a dilution of Iron King tailing dust by dust from other sources. For source apportionment purposes, single element concentration method was used based on the assumption that the PM10 fraction comes from a background source plus the Iron King tailing source. The method's conclusion that nearly all arsenic and lead in the PM10 dust fraction originated from the tailings substantiates our previous Pb and Sr isotope study conclusion. As and Pb showed a similar mass fraction from Iron King for all sites suggesting that As and Pb have the same major emission source. Further validation of this simple source apportionment method is needed based on other elements and sites.
View details for DOI 10.1515/reveh-2015-0061
View details for PubMedID 26820180
Laboratory dust generation and size-dependent characterization of metal and metalloid-contaminated mine tailings deposits
JOURNAL OF HAZARDOUS MATERIALS
2014; 280: 619-626
The particle size distribution of mine tailings material has a major impact on the atmospheric transport of metal and metalloid contaminants by dust. Implications to human health should be assessed through a holistic size-resolved characterization involving multidisciplinary research, which requires large uniform samples of dust that are difficult to collect using conventional atmospheric sampling instruments. To address this limitation, we designed a laboratory dust generation and fractionation system capable of producing several grams of dust from bulk materials. The equipment was utilized in the characterization of tailings deposits from the arsenic and lead-contaminated Iron King Superfund site in Dewey-Humboldt, Arizona. Results show that metal and metalloid contaminants are more concentrated in particles of < 10 μm aerodynamic diameter, which are likely to affect surrounding communities and ecosystems. In addition, we traced the transport of contaminated particles from the tailings to surrounding soils by identifying Pb and Sr isotopic signatures in soil samples. The equipment and methods developed for this assessment ensure uniform samples for further multidisciplinary studies, thus providing a tool for comprehensive representation of emission sources and associated risks of exposure.
View details for DOI 10.1016/j.jhazmat.2014.09.002
View details for Web of Science ID 000344428700072
View details for PubMedID 25222928