Changchun Institute of Urban Planning and Design

Changchun, China

Changchun Institute of Urban Planning and Design

Changchun, China
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Chen Y.,Jilin University | Wu W.,Changchun Institute of Urban Planning and Design
Ore Geology Reviews | Year: 2017

In this research, we conduct a case study of mapping polymetallic prospectivity using an extreme learning machine (ELM) regression. A Quad-Core CPU 1.8 GHz laptop computer served as hardware platform. Almeida's Python program was used to construct the ELM regression model to map polymetallic prospectivity of the Lalingzaohuo district in Qinghai Province in China. Based on geologic, metallogenic, and statistical analyses of the study area, one target and eight predictor map patterns and two training sets were then used to train the ELM regression and logistic regression models. ELM regression modeling using the two training sets spends 61.4 s and 65.9 s; whereas the logistic regression modeling using the two training sets spends 1704.0 s and 1628.0 s. The four trained regression models were used to map polymetallic prospectivity. Based on the polymetallic prospectivity predicted by each model, the receiver operating characteristic (ROC) curve was plotted and the area under the curve (AUC) was estimated. The ROC curves show that the two ELM-regression-based models somewhat dominate the two logistic-regression-based models over the ROC performance space; and the AUC values indicate that the overall performances of the two ELM-regression-based models are somewhat better than those of the two logistic-regression-based models. Hence, the ELM-regression-based models slightly outperform the logistic-regression-based models in mapping polymetallic prospectivity. Polymetallic targets were optimally delineated by using the Youden index to maximize spatial association between the delineated polymetallic targets and the discovered polymetallic deposits. The polymetallic targets predicted by the two ELM-regression-based models occupy lower percentage of the study area (2.66–2.68%) compared to those predicted by the two logistic-regression-based models (4.96%) but contain the same percentage of the discovered polymetallic deposits (82%). Therefore, the ELM regression is a useful fast-learning data-driven model that slightly outperforms the widely used logistic regression model in mapping mineral prospectivity. The case study reveals that the magmatic complexes, which intruded into the Baishahe Formation of the Paleoproterozoic Jinshuikou Group or the Carboniferous Dagangou and Shiguaizi Formations, and which were controlled by northwest-western/east-western trending deep faults, are critical for polymetallic mineralization and need to be paid much attention to in future mineral exploration in the study area. © 2016 Elsevier B.V.


Lv J.,Jilin University | Zhou Y.,Changchun Institute of Urban Planning and Design
Applied Mechanics and Materials | Year: 2014

Based on the analysis of current situation according to Changchun automobile industrial logistics characteristics, this paper analyze the existing problems of urban logistics spatial development in Changchun and the reasons which trigger these issues, in order to put forward Changchun automobile industry logistics development strategies. Changchun is a new cradle of China automotive industry and FAW group's headquarters together with main manufacturing base. During the "Twelfth Five-Year", Changchun's automobile industry proposed the development goals of 3,000,000 vehicles production. The demand for urban space of automotive logistics will raise greater challenge to the tense land use conditions in Changchun. © (2014) Trans Tech Publications, Switzerland.


Zhang H.Z.,Jilin University | Li H.M.,Changchun Institute of Urban Planning and Design | Wei G.F.,Anyang Institute of Urban Planning and Design
Advanced Materials Research | Year: 2014

In order to study the storage-infiltration effect of rainfall for sunken greenbelt in urban road, its storage-infiltration capacity of rainfall runoff was analyzed based on the rainfall balance equation of urban road in the time interval, and then the computational formulae of storage-infiltration rate was derived. Influence factors on storage-infiltration rate, such as design recurrence interval of rainfall, soil infiltration coefficient, greenbelt rate, and depth of sunken greenbelt, etc. were computed and analyzed by using the derived computational formulae with the rainfall intensity of Changchun city. Results show that: on the same condition, storage-infiltration rate of rainfall for sunken greenbelt in urban road increases linearly with the increase of soil infiltration coefficient, greenbelt rate, and depth of sunken greenbelt, and decreases with the increase of design recurrence interval of rainfall. Sunken greenbelt with depth of 0.05 ~ 0.25m can storage-infiltrate all of the rainfall that falls on the urban road when the greenbelt rate of urban road ranges from 20% to 40%. Eco-design program of sunken greenbelt in urban road is reasonable and feasible, and its storage-infiltration effect of rainfall is remarkable. © (2014) Trans Tech Publications, Switzerland.


Chen Y.,Jilin University | Wu W.,Changchun Institute of Urban Planning and Design
Ore Geology Reviews | Year: 2016

A prospecting cost-benefit strategy is developed by quantitatively defining the prospecting cost and benefit in mineral potential mapping. Suppose that some mineral deposits have been discovered in a study area of a set of grid cells, the prospecting cost and benefit of a "unique" condition can be defined as the percentage of non-deposit-bearing and deposit-bearing cells within the "unique" condition, respectively. By replacing the false positive and true positive rates in the receiver operating characteristic (ROC) curve analysis with the prospecting cost and benefit, the Youden index, likelihood ratio, and lift index can be computed and used to express the mineral potential of the "unique" condition. Thus, the mineral potential mapping in a study area can be implemented by identifying all the possible "unique" conditions and then computing their mineral potential indicators such as the Youden index, likelihood ratio, and lift index. By integrating an automatic "unique" condition searching algorithm with the techniques for computing the mineral potential indicators for each "unique" condition, the following prospecting cost-benefit strategy is developed for mineral potential mapping: (a) select map patterns closely associated with the discovered mineral deposits using their mineral potential indicators, (b) automatically search for all the possible "unique" conditions, (c) evaluate the mineral potential of each "unique" condition using its mineral potential indicators, and (d) assess mineral potential mapping performance using the mineral potential indicator diagrams. For demonstration purposes, the Baishan district in Southern Jilin Province in China, which has a complex geological setting, is chosen as a case study area. The weights of evidence (WofE) modeling posterior probability, Youden index, likelihood ratio, and lift index are applied in the mineral potential mapping and their performance are assessed using their ROC curves, cumulative lift charts, and Youden and likelihood ratio diagrams. The results show that (a) the likelihood ratio and lift index perform similarly well and (b) the posterior probability performs a little bit worse than the likelihood ratio and lift index while a little bit better than the Youden index. Therefore, the prospecting cost-benefit strategy provides a common paradigm for both mineral potential mapping and the performance assessment. © 2015 Elsevier B.V.


Zhang H.Z.,Jilin University | Fang Y.,Changchun Institute of Urban Planning and Design
Applied Mechanics and Materials | Year: 2014

In order to evaluate the flexural-tensile property of cement stabilized coal gangue roadbase materials, flexural-tensile strength and flexural-tensile modulus of materials, whose cement dosage range from 4% to 7%, were tested on the automatic servo universal material testing machine with one-third loading method. Based on the test data, correlation equations between cement dosage and flexural-tensile strength and flexural-tensile modulus were established. Results show that: cement dosage is an important influence factor of flexural-tensile property, both flexural-tensile strength and flexural-tensile modulus increase linearly with the increase of the cement dosage. Cement stabilized coal gangue roadbase materials have a good flexural-tensile property and suitable for base in the pavement structure. © (2014) Trans Tech Publications, Switzerland.


Zhang H.Z.,Jilin University | Li H.M.,Changchun Institute of Urban Planning and Design
Applied Mechanics and Materials | Year: 2014

In order to provide scientific basis for the design parameters’ selection of sunken greenbelt of urban road, computational formulae of critical sunken depth and sunken greenbelt plant’s submergence time were derived based on the storage-infiltration analysis of sunken greenbelt. And then the influence of various factors on the sunken greenbelt design of urban road were computed and analyzed. Results show that: soil infiltration coefficient, design recurrence interval of storm and sunken greenbelt plant’s submergence time are the key influencing factors on the sunken greenbelt design. Under the same condition, critical sunken depth decreases linearly with the increase of soil infiltration coefficient, and increases nonlinearly with the increase of design recurrence interval of storm. Sunken greenbelt plant’s submergence time is proportional to sunken depth of sunken greenbelt, and it is inversely proportional to soil infiltration coefficient. When the value of soil infiltration coefficient is greater than 10-6 m/s and the sunken depth range from 0 to 0.25 meters, submergence time of sunken greenbelt plants is all within 70h, and the sunken greenbelt can most infiltrate the rainfall storage in 1d. Considering all the influencing factors, soil infiltration coefficient of sunken greenbelt of urban road should be greater than10-6 m/s and the appropriate sunken depth should be range from 0 to 0.25 meters. © (2014) Trans Tech Publications, Switzerland.


Hao Y.-Z.,Chang'an University | Song G.-H.,Beijing Jiaotong University | Qiu Z.-W.,Chang'an University | Wang H.-T.,Changchun Institute of Urban Planning and Design
Zhongguo Huanjing Kexue/China Environmental Science | Year: 2015

Floating car detection technology can collect data for single car, and the average speed in the data is continuous according to constant sampling interval. In view of this feature, a real-time emission model for light duty vehicles was established using road test data. In the process of modeling, one parameter of average speed increment (ASI) was applied to classify the average speed, and reflect emission changes under the same average speed. Compared with the test values, the calculation errors of the model are less than 10% for CO2, and are less than 15% for NOx, HC and CO. Further, a model application method was proposed, which can calculate the traffic exhaust pollutions in real time. ©, 2015, Chinese Society for Environmental Sciences. All right reserved.


Zhou G.,Northeast Normal University | Li C.,Northeast Normal University | Zhang J.,Northeast Normal University | Luo F.,Changchun Institute of Urban Planning and Design | Shen Q.,Northeast Normal University
Acta Geographica Sinica | Year: 2015

The growth of urban space occurs not only through urban land expansion, but also from the transition of urban functional land. The transition of urban functional land can profoundly reveal the internal features of horizontal expansion of urban space, and is the spatial reflection of urban functional agglomeration and diffusion. The paper takes the central city of Changchun as a case study. ArcGIS, AutoCAD and GIS analysis methods are used in the article. Based on remote sensing images, topographic maps and land use maps covering the years of 2003, 2007, 2010 and 2012, the study analyzes the external expansion and internal renewal of urban functional land. First, the paper analyzes the overall pattern of urban spatial expansion and the change of urban land structure. Second, the external expansion and internal renewal of urban functional land are used to express the transition of urban functional land. Finally, the paper explains the internal features of urban spatial expansion and urban functional agglomeration and diffusion. The goal of this work is to provide a new and effective way to study urban spatial expansion, enriching the theoretical foundation of urban space studies. The research reveals the following points: (1) Overall, a continuous urban sprawl is still the main mode of urban spatial expansion. (2) The direction of urban spatial expansion of Changchun has phased characteristics. (3) Residential land and industrial land are the major urban functional land types in Changchun. (4) Examining three study periods reveals that external expansion and internal renewal occur in different time intervals. (5) Internal renewal and external expansion of urban functional land are important indicators of urban spatial expansion. ©, 2015, Science Press. All right reserved.

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