My research interests include the effect of land use change on water resources and how global change affects the benefits we derive from nature.
At Stanford I work as a hydrologist with the Natural Capital Project, focusing on the development of water models and their application to hydrological services assessments. I led the development of the nutrient and sediment retention models, and contributed to ecosystem services assessments both at the global scale and in regional studies in India, Colombia, Brazil, and the US. I also developed a particular interest in characterizing uncertainties associated with the use of decision-support tools for conservation projects.
Prior to joining the Natural Capital Project, I worked as an environmental engineer in Phnom Penh, Cambodia. I then enrolled in a PhD program at Monash University, Australia, in the field of integrated urban water management. My PhD research involved environmental monitoring and modeling work, provided practical insights into the role of stormwater management techniques in urban catchments.
PhD, Monash University, Hydrology and Environmental Engineering (2013)
MEng, Ecole Centrale Nantes, Engineering, Major in Civil & Environmental Engineering (2008)
Gretchen Daily, Postdoctoral Faculty Sponsor
- Automated Chamber System to Measure Field Evapotranspiration Rates JOURNAL OF HYDROLOGIC ENGINEERING 2015; 20 (2)
Future Earth Young Scientists Conference on Integrated Science and Knowledge Co-Production for Ecosystems and Human Well-Being (vol 11, pg 11553, 2014)
INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH
2015; 12 (2): 2088-2089
The authors would like to add the following affiliation for Peter Søgaard Jørgensen of paper : 8 International Network of Next-Generation Ecologists, Universitetsparken 15, Building 3, Copenhagen 2100, Denmark[...].
View details for DOI 10.3390/ijerph120202088
View details for Web of Science ID 000350209800059
Sensitivity analysis of a sediment dynamics model applied in a Mediterranean river basin: Global change and management implications
SCIENCE OF THE TOTAL ENVIRONMENT
2015; 502: 602-610
Climate change and land-use change are major factors influencing sediment dynamics. Models can be used to better understand sediment production and retention by the landscape, although their interpretation is limited by large uncertainties, including model parameter uncertainties. The uncertainties related to parameter selection may be significant and need to be quantified to improve model interpretation for watershed management. In this study, we performed a sensitivity analysis of the InVEST (Integrated Valuation of Environmental Services and Tradeoffs) sediment retention model in order to determine which model parameters had the greatest influence on model outputs, and therefore require special attention during calibration. The estimation of the sediment loads in this model is based on the Universal Soil Loss Equation (USLE). The sensitivity analysis was performed in the Llobregat basin (NE Iberian Peninsula) for exported and retained sediment, which support two different ecosystem service benefits (avoided reservoir sedimentation and improved water quality). Our analysis identified the model parameters related to the natural environment as the most influential for sediment export and retention. Accordingly, small changes in variables such as the magnitude and frequency of extreme rainfall events could cause major changes in sediment dynamics, demonstrating the sensitivity of these dynamics to climate change in Mediterranean basins. Parameters directly related to human activities and decisions (such as cover management factor, C) were also influential, especially for sediment exported. The importance of these human-related parameters in the sediment export process suggests that mitigation measures have the potential to at least partially ameliorate climate-change driven changes in sediment exportation.
View details for DOI 10.1016/j.scitotenv.2014.09.074
View details for Web of Science ID 000345730800065
View details for PubMedID 25302447
- Uncertainty analysis of a spatially explicit annual water-balance model: case study of the Cape Fear basin, North Carolina HYDROLOGY AND EARTH SYSTEM SCIENCES 2015; 19 (2): 839-853
- Modelling the impact of stormwater source control infiltration techniques on catchment baseflow HYDROLOGICAL PROCESSES 2014; 28 (24): 5817-5831
- Ecosystem services: Challenges and opportunities for hydrologic modeling to support decision making WATER RESOURCES RESEARCH 2014; 50 (5): 4535-4544