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Poyang Lake collects the water of five rivers (Ganjiang River, Fuhe River, Xinjiang River, Raohe River and Xiushui River) in Jiangxi Province. Therefore, the rainfall of each area of Jiangxi Province has large influence on the water level of Poyang Lake. In order to facilitate the prediction of flooding in the basin and the warning of it beforehand, this paper aims to build a model on the relation...
The effect of solution temperature and the determination of the kinetic parameters of methylene blue (MB) adsorption onto cereal chaff were performed to understand the adsorption mechanism. The pseudo-second order kinetic model was fitted to the experimental data and found it was good to predict the adsorption behavior using nonlinear regressive method, suggesting that the mechanism may be a chemisorption...
Highway green landscape is an important part of the highway systems. Now freeway and multi-lane highway green landscape have been concerned, but two-lane highway green landscape has not been researched. Through analyzing the function of greening, this paper summarizes a research project that was to develop evaluation models for green landscape evaluation. The main evaluation indices considered are...
Pollution problem is getting worse in China's urban rivers at present. This paper, after analyzing the factors affecting urban river water quality and choosing such six principal evaluation factors as BOD5, CODcr, petroleum, volatile phenol, NH3-N and total phosphorus, establishes a Projection Pursuit analysis model for evaluating water quality in urban rivers, optimizes the evaluation model with...
Based on the hydrology and sediment data, an artificial neural network model which has been applied maturely and widely in all kinds of artificial neural network is established to study the relationship of channel cubage under 0m isobath in North Branch with the flow and sediment discharge at Datong gauging station, and the flow split ratio of the North Branch. The structure of the network model is...
Long memory processes are widely used in many scientific fields, such as bioinformatics, economics and engineering. In this paper, we use the multivariate local linear estimator to predict the ARFIMA(p,d,q) processes. Using the C-C method to choose the appropriate delay time and the embedding dimension, we reconstruct the time series and use multivariate local linear estimator to directly predict...
The kinetics of the esterification of ammonium lactate with ethanol catalyzed by Novozym 435 was investigated. The Ping-Pong Bi-Bi enzymatic mechanism with competitive inhibition by both substrates was proposed. The corresponding kinetic parameters were calculated by non-linear regression. rmax = 75.6 μmol/(g·min). The inhibition constants for lactic acid (A) and ethanol (B) were KiA = 0.016 mol/L...
The impacts of several factors (extractant volume, dispersant volume, extractant type, dispersant type, pH, salt effect, extraction time and grain size) on dispersive liquid-liquid microextraction-solidification of floating organic drop of DecaBDE from river sediments based on undecanol were investigated by an interactive orthogonal experimental array design, and the significant factors were obtained...
This paper presents a glioma modelization method and a regression-like model to create a gradually glioma image (GlioIm). Multimodal signal, images of magnetic resonance imaging (MRI) and in vivo multivoxel MR spectroscopy (MRS) are combined by the regression-like model with spatial resolution registration. This modeling method consists of feature models of glioma such as the signal intensity of MR...
A quantitative structure-activity relationship (QSAR) of 25 kinds of benzoic acid derivatives in regard to their inhibitory effects has been studied using the Hatree-Fork (HF) method and statistical method. Via a multiple linear regression analysis, some main independent factors affecting the activity of the compounds were selected out, and then the QSAR equation was established. The results show...
Research on the relationship between meteorological factors and crop yield is helpful to understand the mechanism of weather impacting on yield, it is significant for timely and accurate responsing to climate change. Based on the observational data in 1980-2002 from 43 national agro-meteorological observation stations in North China Plain, using the Agro-Meteorological yield estimated model, as well...
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