Yiwen Mei. Summary. Experience. Research Assistant at University of Connecticut

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1 Yiwen Mei Summary I am interested in any hydro-meteorological related research, especially on the hydrologic potential on satellite-based dataset. I have experiences on the evaluation of different satellite precipitation retrievals and their potential use in hydrologic simulation. I also focus on the (statistic and stochastic) error modeling of basin response under various precipitation forcing and analyzing the water balance of a catchment. I am familiar with several computation software such as Matlab and Python. Besides, I use ArcGIS a lot for my research. Experience August Present (2 years 3 months) Investigate the hydrologic potential of satellite products over different regions (the Northeast Italy Alps, Tar River Basin in North Carolina and Connecticut River Basin in the Northeast USA). January May 2011 (5 months) Error modeling on basin response under different rainfall forcing and analyze the catchment water balance over the Tar River Basin. Student Researcher at Guangdong University of Technology January June 2010 (6 months) Analyze the distribution pattern of heavy metal released by the inappropriate e-waste dismantling over the Longtang Town in Guangdong Province (in the southern part of China). Office Assistant at Guangzhou Environmental Sanitation Institute July August 2009 (2 months) Assist for the engineering design on municipal solid waste landfill site in Guangzhou City. Page1

2 Publications Rainfall Organization Control on the Flood Response of mild-slope Basins Journal of Hydrology 2013 Authors: Yiwen Mei, Emmanouil Anagnostou, Efthymios Nikolopoulos, marco borga, Humberto Vergara, Dimitrios Stampoulis This study uses long-term (8 years) data from the Tar River Basin in North Carolina to explore the rainfall space-time organization control on the flood response of mild-slope basins. For understanding the basin scale effect, the Tar River Basin is divided into four nested sub-basins ranging from 1106 km2 to 5654 km2. We employ the concepts of spatial moments of catchment rainfall and catchment scale storm velocity ) to quantify the effect of spatial rainfall variability and basin geomorphology on flood response for mild-slope basins and moderate intensity storms. A calibrated distributed hydrologic model is employed to assess the relevance of these statistics in describing the degree of spatial rainfall organization, which is important for runoff modeling. The rainfall spatiotemporal distribution represented in the analytical framework is shown to describe well the differences in hydrograph timing (less so in terms of magnitude of the simulated hydrographs) determined from forcing the hydrologic model with lumped vs. distributed rainfall. Specifically, the first moment exhibits a linear relationship with the difference in timing between lumped and distributed rainfall forcing. The analysis shows that the catchment scale storm velocity is scale dependent in terms of variability and rainfall dependent in terms of its value, assuming typically small values. Accordingly, the error in dispersion of simulated hydrographs between lumped and distributed rainfall forcing is relatively insensitive to the catchment scale storm velocity, which is attributed to the spatial variability of routing and hillslope velocities that is not accounted by the current conceptual framework. Error analysis of satellite rainfall products over complex terrain basins Journal of Hydrometeorology 2014 Authors: Yiwen Mei, Efthymios Nikolopoulos, Emmanouil Anagnostou, marco borga Floods occurring in complex terrain basins are mainly triggered by heavy precipitation events. Therefore, accurate quantitative precipitation estimation (QPE) is of great importance since it provides the main forcing variable for flood modeling and prediction. Rainfall estimation over complex terrain poses a great challenge cause in-situ observations are scarce and weather radar suffer from beam blockage. Currently, there exist various satellite-retrieved precipitation products with high spatiotemporal resolutions and quasi-global coverage, which enables global scale hydrologic applications and may offer an alternative source of QPE over complex terrain. However, use of satellite rainfall data in hydrologic modeling requires understanding of the errors in satellite retrievals at the basin scale. In this study, three satellite-rainfall products (TRMM-3B42, CMORPH and PERSIANN) are evaluated with respect to their performance in capturing heavy precipitation events over a range of basin scales at the Alto-Adige region of northeast Italy. Basin-average rainfall data derived from a dense rain gauge network in the region are used as reference. Satellite error analyses are performed for cold (November to next year April) and warm (May to October) season months as well as for different quantile ranges of storm totals. Overall, no single precipitation product can be considered ideal for detecting extreme events. Results show better estimation during the warm season months especially for CMORPH algorithm. Satellite retrievals exhibit a dynamic bias ranging from significant overestimation to underestimation as rainfall thresholds increase. Moreover, in the condition of overestimation, smaller basin Page2

3 scales yield lower biases. In the underestimation of heavier rainfall events, more consistent results are obtained in larger basin scales. Hydrologic Evaluation of Satellite Precipitation Products in Mountainous Basins EGU 2014 Authors: Yiwen Mei, Efthymios Nikolopoulos, Emmanouil Anagnostou, marco borga Recent advancements in space-based precipitation estimation have opened up new horizons in hydrological applications at global scale. Utilization of satellite-based products is of particular importance for complex terrain regions where in-situ observations are inexistent or sparse. As we now stand at the doorstep of a global-scale precipitation mission, named Global Precipitation Measurement (GPM), a comprehensive investigation/evaluation of the use of current satellite products in hydrologic applications appears mandatory and can serve as a valuable reference to the mission s designers as well as highlight its usefulness to society. This study focuses on the hydrologic evaluation of a number of available quasi-global satellite precipitation products over the mountainous region of eastern Italian Alps. Specifically, TMPA 3B42, CMORPH and PERSIANN products are used to force a semi-distributed hydrologic model. The model is part of the Adige River Flood Forecasting System (ARFFS) and simulates runoff response for a number of mountainous basins ranging in scale from 200 to?7000 km2. Runoff simulations for the period generated based on the different satellite products are analyzed and compared to reference runoff simulations driven with dense raingauge rainfall measurements. Results highlight the differences between the products examined and the overall performance of satellite-based hydrologic simulations in this region. Dependence of results on a) season and b) basin scale is analyzed to further delineate the performance of the various products. A Hydrograph Separation Method Based on Information from Rainfall and Runoff Records Journal of Hydrology (Submitted) 2014 Authors: Yiwen Mei, Emmanouil Anagnostou Hydrograph separation is considered as the first step to catchment-scale water balance analysis. A wide variety of hydrograph separation methods exist ranging from empirical to analytical and physical. This study discusses a physically-based approach that combines base flow separation and event identification with minimal data requirement. The input datasets are basin-average rainfall and discharge time series. Outputs are baseflow time series, the timing of the runoff events, differentiated as single- or multi-peak, and the associated rainfall event time series. To assess the method s feasibility, hydrograph properties are evaluated for both long-term (annual and monthly) and event-scale time series. Results show that the long-term derived baseflow indices are positive (negative) correlated with basin area (runoff coefficient). The event scale analysis shows that the timing related parameters (i.e. durations of rainfall and flow events and time lag between rainfall to flow events) increase with basin area in terms of magnitude and variability. Similar dependence on basin scale is shown for the water balance related parameters determined from this analysis, namely event rainfall and baseflow volumes and baseflow index. Water balance parameters are shown to be characterized with less degree of variability for single-peak events relative to multi-peak events. Study on emission and pollution of heavy metals by improper dismantling of E-waste Anthology of Excellent Graduation Design (Thesis) of Guangdong University of Technology 2010 June 2010 Authors: Yiwen Mei, Wuming Xie Page3

4 Longtang Town is a typical e-waste treating area in Qingyuan. This program launches a research and concentrates on the composition and contents of pollutants that disperse through the EWT activity and its environmental Impact on the vicinal soil, river and their sediment. Through the field research and the samples' laboratory data of the EWT activity, this article intend to summarize the emission and pollution pattern of heavy metals as the basic data for the following research and propose of the control methods. Honors and Awards Pre-Doctoral Fellowship for Summer 2013 Department of Civil and Environmental Engineering, University of Connecticut May 2013 Dissertation Innovation Award Guangdong University of Technology June 2010 Education Doctor of Philosophy (PhD), Hydrology and Water Resources Science, Grade: A Master of Science (M.Sc.), Hydrology and Water Resources Science, Grade: A Guangdong University of Technology Bachelor of Engineering (B.Eng.), Environmental Engineering Technology/Environmental Technology, Grade: A Skills & Expertise Matlab Python ArcGIS Microsoft Office Visual MODFLOW ERDAS Imagine R UG AutoCAD PHREEQC RETC Page4

5 Hydrology Water Resources Research Statistical Modeling Groundwater Modeling Water Quality Courses Doctor of Philosophy (PhD), Hydrology and Water Resources Science Seminar in Environmental Science & Engineering ENVE 5094 Independent Graduated Study in Enviromental Engineering ENVE 5020 Hydrometeorology ENVE 5810 Ground Water Modeling Applications NRE 6175 Advanced Topics in Environmental Engineering ENVE 5090 Advanced Statistical Methods STAT 5415 Applied Time Series STAT 5825 Geospatial Data Processing Techniques NRE 5585 Introduction to Applied Statistics STAT 5005 Master of Science (M.Sc.), Hydrology and Water Resources Science Environmental Engineering Chemistry I ENVE 5210 Enviromental Biochemical Processes ENVE 5311 Environmental Quantitative Methods ENVE 5320 Vadose Zone Hydrology ENVE 5821 Environmental Transport Phenomena ENVE 5310 Ecohydrology ENVE 5812 Master's Thesis Research GRAD 5950 Natural Resource Applications of GIS NRE 4575 Thesis Preparation GRAD 5999 Test Scores GRE General June 2009 Score: TOEFL Page5

6 August 2009 Score:90 Languages English Cantonese Mandarin Japanese (Professional working proficiency) (Native or bilingual proficiency) (Native or bilingual proficiency) (Elementary proficiency) Interests Basketball, Bowling, Drama, Origami and Cosmology Page6

7 Yiwen Mei Contact Yiwen on LinkedIn Page7