Pengfei Xue
University of Massachusetts Dartmouth
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Featured researches published by Pengfei Xue.
Journal of Geophysical Research | 2009
Pengfei Xue; Changsheng Chen; Pingxing Ding; Robert C. Beardsley; Huichan Lin; Jianzhong Ge; Yazhen Kong
[1] The Changjiang River (CR) is divided into a southern branch (SB) and a northern branche (NB) by Chongming Island as the river enters the East China Sea. Observations reveal that during the dry season the saltwater in the inner shelf of the East China Sea flows into the CR through the NB and forms an isolated mass of saltwater in the upstream area of the SB. The physical mechanism causing this saltwater intrusion has been studied using the high-resolution unstructured-grid Finite-Volume Coastal Ocean Model (FVCOM). The results suggest that the intrusion is caused by a complex nonlinear interaction process in relation to the freshwater flux upstream, tidal currents, mixing, wind, and the salt distribution in the inner shelf of the East China Sea. The tidal rectification, resulting from the interaction of the convergence or divergence of tidal momentum flux and bottom friction over abrupt topography, produces a net upstreamward volume flux from NB to SB. With river discharge the net water transport in the NB is driven through a momentum balance of surface elevation gradient forcing, horizontal advection, and vertical diffusion. In the dry season, reducing the surface elevation gradient forcing makes tidal rectification a key process favorable for the saltwater intrusion. A northerly wind tends to enhance the saltwater intrusion by reducing the seaward surface elevation gradient forcing rather than either the baroclinic pressure gradient forcing or the wind-driven Ekman transport. A convergence experiment suggests that high grid resolution (∼100 m or less) is required to correctly resolve the net water transport through the NB, particularly in the narrow channel on the northern coast of Chongming Island.
IEEE Communications Magazine | 2015
Zhaohui Wang; Houbing Song; David W. Watkins; Keat Ghee Ong; Pengfei Xue; Qing Yang; Xianming Shi
Water plays a vital role in the proper functioning of the Earths ecosystems, and practically all human activities, such as agriculture, manufacturing, transportation, and energy production. The proliferation of industrial and agricultural activities in modern society, however, poses threats to water resources in the form of chemical, biological, and thermal pollution. On the other hand, tremendous advancements in science and technology offer valuable tools to address water sustainability challenges. Key technologies, including sensing technology, wireless communications and networking, hydrodynamic modeling, data analysis, and control, enable intelligently wireless networked water cyber-physical systems (CPS) with embedded sensors, processors, and actuators that can sense and interact with the water environment. This article provides an overview of water CPS for sustainability from four critical aspects: sensing and instrumentation; communications and networking; computing; and control. The article also explores opportunities and design challenges of relevant techniques.
Journal of Geophysical Research | 2015
Pengfei Xue; David J. Schwab; Song Hu
Lake Superior, the largest lake in the world by surface area and third largest by volume, features strong spatiotemporal thermal variability due to its immense size and complex bathymetry. The objectives of this study are to document our recent modeling experiences on the simulation of the lake thermal structure and to explore underlying dynamic explanations of the observed modeling success. In this study, we use a three-dimensional hydrodynamic model (FVCOM—Finite Volume Community Ocean Model) and an assimilative weather forecasting model (WRF—Weather Research and Forecasting Model) to study the annual heating and cooling cycle of Lake Superior. Model experiments are carried out with meteorological forcing based on interpolation of surface weather observations, on WRF and on Climate Forecast System Reanalysis (CFSR) reanalysis data, respectively. Model performance is assessed through comparison with satellite products and in situ measurements. Accurate simulations of the lake thermal structure are achieved through (1) adapting the COARE algorithm in the hydrodynamic model to derive instantaneous estimates of latent/sensible heat fluxes and upward longwave radiation based on prognostic surface water temperature simulated within the model as opposed to precomputing them with an assumed surface water temperature; (2) estimating incoming solar radiation and downward longwave radiation based on meteorological measurements as opposed to meteorological model-based estimates; (3) using the weather forecasting model to provide high-resolution dynamically constrained wind fields as opposed to wind fields interpolated from station observations. Analysis reveals that the key to the modeling success is to resolve the lake-atmosphere interactions and apply appropriate representations of different meteorological forcing fields, based on the nature of their spatiotemporal variability. The close agreement between model simulation and observations also suggests that the 3-D hydrodynamic model can provide reliable spatiotemporal estimates of heat budgets over Lake Superior and similar systems. Although there have been previous studies which analyzed the impact of the spatiotemporal variability of overwater wind fields on lake circulation, we believe this is the first detailed analysis of the importance of spatiotemporal variability of heat flux components on hydrodynamic simulation of 3-D thermal structure in a lake.
Journal of Geophysical Research | 2014
Pengfei Xue; Elfatih A. B. Eltahir; Paola Malanotte-Rizzoli; Jun Wei
The focus of this study is the local-scale air-sea feedback mechanisms over the shallow shelf water region (water depth <200 m) of the Maritime Continent (MC). MC was selected as a pilot study site for its extensive shallow water coverage, geographic complexity, and importance in the global climate system. To identify the local-scale air-sea feedback processes, we ran numerical experiments with perturbed surface layer water temperature using a coupled ocean-atmosphere model and an uncoupled ocean model. By examining the responses of the coupled and uncoupled models to the water temperature perturbation, we identify that, at a local-scale, a negative feedback process through the coupled dynamics that tends to restore the SST from its perturbation could dominate the shallow water region of the MC at a short time scale of several days. The energy budget shows that 38% of initial perturbation-induced heat energy was adjusted through the air-sea feedback mechanisms within 2 weeks, of which 58% is directly transferred into the atmosphere by the adjustment of latent heat flux due to the evaporative cooling mechanism. The increased inputs of heat and moisture into the lower atmosphere then modifies its thermal structure and increases the formation of low-level clouds, which act as a shield preventing incoming solar radiation from reaching the sea surface, accounts for 38% of the total adjustment of surface heat fluxes, serving as the second mechanism for the negative feedback process. The adjustment of sensible heat flux and net longwave radiation play a secondary role. The response of the coupled system to the SST perturbation suggests a response time scale of the coupled feedback process of about 3–5 days. The two-way air-sea feedback tightly links the surface heat fluxes, clouds and SST, and can play an important role in regulating the short-term variability of the SST over the shallow shelf water regions.
Journal of Climate | 2015
Pengfei Xue; Elfatih A. B. Eltahir
AbstractBecause of the scarcity of observational data, existing estimates of the heat and water budgets of the Persian Gulf are rather uncertain. This uncertainty leaves open the fundamental question of whether this water body is a net heat source or a net heat sink to the atmosphere. Previous regional modeling studies either used specified surface fluxes to simulate the hydrodynamics of the Gulf or prescribed SST in simulating the regional atmospheric climate; neither of these two approaches is suitable for addressing the above question or for projecting the future climate in this region. For the first time, a high-resolution, two-way, coupled Gulf–atmosphere regional model (GARM) is developed, forced by solar radiation and constrained by observed lateral boundary conditions, suited for the study of current and future climates of the Persian Gulf. Here, this study demonstrates the unique capability of this model in consistently predicting surface heat and water fluxes and lateral heat and water exchanges...
IFCEE 2015 | 2015
Zhen Liu; M. Asce; Jay Meldrum; Pengfei Xue; Christopher Green
There are a great number of abandoned mine shafts in the US as well as other countries. Taking the Upper Peninsula (U.P.) in Michigan for example, abandoned copper mine shafts are widely distributed in the area and about nighty percent of them are filled with water. This study presents preliminary results on the use of abandoned mine shafts for geothermal applications, which include a field study, a theoretical framework, and preliminary simulations results. The field study involved measurements of temperatures and chemicals in the mine water, which are of major concern in recovering geothermal energy from mine water. The theoretical framework provided a mathematical description for studying the scientific issue. It is the first time such a framework is established for holistically formulating the coupled physical processes in the mine water-surrounding porous material system. Preliminary simulations were conducted to test a critical part of the theoretical framework. The simulation results provided interesting insights into the phenomena observed in the data measured in the field study.
Journal of Geophysical Research | 2009
Changsheng Chen; Paola Malanotte-Rizzoli; Jun Wei; Robert C. Beardsley; Zhigang Lai; Pengfei Xue; Sangjun Lyu; Qichun Xu; Jianhua Qi; Geoffrey W. Cowles
Climate Dynamics | 2014
Jun Wei; Paola Malanotte-Rizzoli; Elfatih A. B. Eltahir; Pengfei Xue; Danya Xu
Journal of Geophysical Research | 2011
Pengfei Xue; Changsheng Chen; Robert C. Beardsley; Richard Limeburner
Journal of Marine Systems | 2014
Pengfei Xue; Changsheng Chen; Jianhua Qi; Robert C. Beardsley; Rucheng Tian; Liuzhi Zhao; Huichan Lin