Showing papers by "Guohe Huang published in 2002"

A Novel Piezoelectric Biosensor for the Detection of Phytohormone β-Indole Acetic Acid

Abstract: A novel piezoelectric immunosensor has been developed for the determination of β-indole acetic acid (IAA) in dilute solutions The detection is based on competitive immunoreaction between a hapten (IAA) and an antigen (IAA-BSA, hapten-protein conjugation) bound to an anti-IAA antibody, immobilized on a quartz crystal microbalance (QCM) The frequency change (y) of the sensor caused by antigen is linearly related to the logarithm of the concentration of IAA (x) in the range of 05 ng/ml - 5 μg/ml with a regression equation of the form y = -23x + 151 (r = 09937)

Composting MSW and sewage sludge with effective complex microorganisms

Abstract: The effects of complex microorganisms in composting process of the municipal solid waste (MSW) and sludge were examined through inspecting biomass, temperature, oxygen consumption, organic mater, and C/N (the ratio of carbon and nitrogen). The experimental results shows: complex microorganisms are effective to compose organic matter and speedup composting change into humus.

Estimation of atmospheric mixing heights over large areas using data from airport meteorological stations

Abstract: For this study, ground and sounding meteorological data at 16 airports were used for estimating the atmospheric mixing heights in Hebei Province of China, including Beijing and Tanjing areas. Three methods were compared for this purpose, which are the dry adiabatic method, the conventional Nozaki model, and a modified Nozaki model. The feasibility of using airport meteorological data to determine mixing heights in large area was verified through the use of measured mixing heights and observed SO2 vertical profiles. The study not only estimated the mixing heights over large areas but also compared different early morning sounding temperature profiles to identify feasibility of using 2:00 a.m. sounding profiles to estimate mixing height by the dry adiabatic method. The paper also described the mixing heights over different areas such as mountain, sea boundary and plain areas. The results have considerable significance for air quality prediction and environmental management. A novel approach to esti...

Application of a GIS-based modeling system for effective management of petroleum-contaminated sites

Abstract: A GIS-aided simulation (GISSIM) system is developed for effective management of petroleum-contaminated sites in this study. The GISSIM contains two components: an advanced three-dimensional (3D) numerical model, and a geographical information system (GIS). The modeling component undertakes simulation for the fate of contaminants in subsurface unsaturated and saturated zones. The GIS component is used in three areas throughout the system development and implementation process: (1) managing spatial and nonspatial databases; (2) linking inputs, the model, and outputs; and (3) providing an interface between the GISSIM and its users. The system is applied to a North American case study. Concentrations of benzene, toluene, and xylenes in groundwater under a petroleum-contaminated site are dynamically simulated. Conditions of the contamination in different time stages under a variety of remediation scenarios are predicted. Reasonable outputs have been obtained and presented graphically. Implications of the model...

Modeling Of Solid Waste Composting Under Uncertainty

Abstract: Effectiveness in reflecting uncertainties in a modeling process is critical for ensuring forecasting accuracy and improving process efficiency. However, few previous studies made efforts toward incorporating uncertainties into comporting modeling systems. The purpose of this study is to develop a methodology based on Monte Carlo simulation and factorial design to reflect uncertainties in the modeling process. The uncertain parameters under consideration include temperature, moisture content, free air space, and oxygen concentration. Monte Carlo simulations are undertaken based on comporting kinetic simulator, and a set of 24 factorial experiments are conducted to examine the effects of the input uncertainties and their interactions. The results indicate that complexities of the system uncertainties have been effectively addressed through the developed modeling approach. The proposed method offers an effective tool for comporting process simulation and control under uncertainty.