Specifications

resulted in higher solute concentrations in runoff. When the solute concentration in the runoff
stabilized, the solute concentration in the runoff was mainly controlled by the diffusion of solutes
from the soil beneath the mixing zone. The simulated data showed a high level of correlation
with the measured data for both runoff volume and solute concentration in the runoff. This
demonstrates that the model captured the temporal behavior of the runoff and solute transport
in the runoff. © 2013 American Society of Civil Engineers.
Number of references: 50
Main heading: Runoff
Controlled terms: Computer simulation - Diffusion - Drops - Mixing - Rain - Soil
testing - Soils - Solute transport
Uncontrolled terms: Experimental datum - Laboratory experiments - Mixing
zones - Physically based models - Raindrop impact - Simulated rainfall - Solute
concentrations - Solute transport model
Classification code: 443.3 Precipitation - 444.1 Surface Water - 483.1 Soils and Soil
Mechanics - 723.5 Computer Applications - 802.3 Chemical Operations - 931.1 Mechanics
DOI: 10.1061/(ASCE)HE.1943-5584.0000622
Database: Compendex
Compilation and indexing terms, © 2013 Elsevier Inc.
2.
Accession number: 20132816484435
Title: Study on intelligentized multiple-scheme urban road preferential technology
Authors: Fan, Cuixiang1 ; Liu, Hui1/;
Author affiliation:
1 Xi'an University of Technology, Xi'an 710082, China
Corresponding author: Fan, C. ([e-mail])
Source title: Qinghua Daxue Xuebao/Journal of Tsinghua University
Abbreviated source title: Qinghua Daxue Xuebao
Volume: 52
Issue: SUPPL.1
Issue date: October 2012
Publication year: 2012
Pages: 137-140
Language: Chinese
ISSN: 10000054
CODEN: QDXKE8
Document type: Journal article (JA)
Publisher: Press of Tsinghua University, 15 Xueyuanlu, Beijing, 100083, China
Abstract: The road traffic capacity and utilization efficiency will be significantly raised with
vehicle timetables being reduced if dynamic optimization of full traffic paths is realized based on
real-time traffic information, with reasonable avoidance of congested roads, reduction of red
light waiting time, and the short path selection. An intelligentized multiple-scheme preferential
technology for urban roads was developed using the state space searching method to provide
different intelligentized urban road selection schemes for different requirements under real-time
traffic conditions, with a primary algorithm designed for each scheme. The results show the