[Jiang, Yuan; Hou, Zhaojiang; Ding, Jiao; Liu, Qi] State Key Laboratory of Earth Surface Processes and Resource Ecology, Beijing Normal University, Beijing 100875, P.R. China;[Ding, Jiao] College of Resources Science and Technology, Beijing Normal University, Beijing 100875, P.R. China. Electronic address: email@example.com;[Jiang, Yuan] College of Resources Science and Technology, Beijing Normal University, Beijing 100875, P.R. China. Electronic address: firstname.lastname@example.org;[Liu, Qi] College of Resources Science and Technology, Beijing Normal University, Beijing 100875, P.R. China. Electronic address: email@example.com;[Hou, Zhaojiang] College of Resources Science and Technology, Beijing Normal University, Beijing 100875, P.R. China. Electronic address: firstname.lastname@example.org
[Peng, Qiuzhi] Faculty of Land Resource Engineering, Kunming University of Science and Technology, Kunming 650093, P.R. China. Electronic address:;[Jiang, Yuan; Ding, Jiao; Hou, Zhaojiang; Liu, Qi] College of Resources Science and Technology, Beijing Normal University, Beijing 100875, P.R. China. Electronic address:;[Liao, Jianyu] College of Architecture, Urban and Rural Planning, Hunan University of Technology, Zhuzhou 412007, P.R. China. Electronic address:;[Fu, Lan] Shenzhen Academy of Environmental Sciences, No.50, 1st Honggui Street, Honggui Road, Shenzhen 518001, P.R. China. Electronic address:
Land use pattern;Spatial scale;Water quality;Low-order stream;Geomorphic region;Dongjiang River basin
Understanding the relationships between land use patterns and water quality in low-order streams is useful for effective landscape planning to protect downstream water quality. A clear understanding of these relationships remains elusive due to the heterogeneity of land use patterns and scale effects. To better assess land use influences, we developed empirical models relating land use patterns to the water quality of low-order streams at different geomorphic regions across multi-scales in the Dongjiang River basin using multivariate statistical analyses. The land use pattern was quantified in terms of the composition, configuration and hydrological distance of land use types at the reach buffer, riparian corridor and catchment scales. Water was sampled under summer base flow at 56 low-order catchments, which were classified into two homogenous geomorphic groups. The results indicated that the water quality of low-order streams was most strongly affected by the configuration metrics of land use. Poorer water quality was associated with higher patch densities of cropland, orchards and grassland in the mountain catchments, whereas it was associated with a higher value for the largest patch index of urban land use in the plain catchments. The overall water quality variation was explained better by catchment scale than by riparian-or reach-scale land use, whereas the spatial scale over which land use influenced water quality also varied across specific water parameters and the geomorphic basis. Our study suggests that watershed management should adopt better landscape planning and multi-scale measures to improve water quality. (C) 2016 Elsevier B.V. All rights reserved.
To improve the properties of polylactic acid (PLA), nano-sized octamaleamic acid polyhedral oligomeric silsesquioxane (Oma-POSS) and ethylene-acrylic acid copolymer (EAA) were added into the PLA as nucleation and toughening agents respectively. PLA/EAA/Oma-POSS composites consisting of various ratios of raw materials were prepared by melt blending. Morphology, thermal and mechanical properties of the composites were analyzed to find out the effect of the Oma-POSS and EAA on the properties of the composites. Results showed that the EAA and Oma-POSS improved the properties of the composites by coordinative interaction. Addition of the Oma-POSS improved the mechanical properties of the composites due to its better crystallinity and effective stress dispersion. Thermostability of the composites was also improved, which was attributed to their better compatibility. The addition of the EAA made a positive effect on the toughness of the composites while causing the decrease in strength. Moreover, the increase of the EAA was conducive for the dispersion of the Oma-POSS in the composites, which significantly improved the modification effect. The optimal ratio of the raw materials was confirmed by the experiments for a best comprehensive performance.
International Conference on Information Technology and Computer Application Engineering (ITCAE)
AUG 27-28, 2013
Hong Kong, PEOPLES R CHINA
[Huang, Zuo Wei;Chi, Xiang] Hunan Univ Technol, Sch Architecture & Urban Planning, Zhuzhou, Peoples R China.^[Qiu, Luo] Cent S Univ, Sch Geosci & Informat Phys, Changsha, Peoples R China.
MAS;Fire Spreading;building model
The happening of forest fire has the characteristics of inevitability and chance. How can we effectively control firing disaster and make use of forest fire it is urgent to implement dynamically monitoring for forest fire, With the rapid development of spatial information technology and the increasingly artificial intelligence knowledge, multi-Agent Systems technology plays a more and more important role in conducting fire behavior forecast, this paper an interactive fire spreading simulation model based on multi-agent systems and dynamic information feedback mechanism is proposed. The model consists of a GIS (planning areas) and a multi-agent systems. The results show that this model not only better simulates fire spreading under different scenarios, but also provides solutions to fire supression action.
LiDAR can quickly and accurately obtain precision and high-density surface elevation data. In cooperation with high-precision GPS positioning technology and IMU attitude sensor, a typical noise removal algorithm of LIDAR point clouds based on FEA is proposed. Firstly point clouds is partitioned into smaller and similar units, then all of the units are classified into noise units or non-noise units with adjacency-based reasoning rules. Finally, the low noise is removed by iterative processing with finer threshold, The result shows that this method has good performance in noise removal.
International Journal of Earth Sciences and Engineering,2014年7(6):2114-2125 ISSN：0974-5904
[Huang, Zuo-Wei; Yang, Min-Hua] School of Geosciences and Information-Physics, Central South University, Changsha, China;[Huang, Zuo-Wei; Zhang, Tao-Xin] School of Architecture and urban planning, Hunan University of Technology, Zhuzhou, China
International Journal of Multimedia and Ubiquitous Engineering,2013年8(6):189-200 ISSN：1975-0080
[Huang, Zuowei] School of Architecture and urban planning, Hunan University of Technology, Zhuzhou 412008, China;[Liu, Fang; Huang, Zuowei] School of Geosciences and Information-Physics, Central South University, Changsha 410083, China
Remote sensing image;information service system;ArcIMS
In order to improve the information extraction technology of seismic damage assessment and information publishing of earthquake damage. Based on past earthquake experience it was constructed technical
Hyperspectral is the frontiers of Remote Sensing development, which plays a more and more important role in many fields. the mixed pixels become an main obstacle to the in depth development for quantification imagery analysis,This paper presented a novel approach based on independent component analysis for hyperspectral unmixing,it introducing the constraints of abundance nonnegative and abundance sum-to-one, the purpose of our algorithm was not to find independent components as decomposition results anymore. It developed an abundance modeling technique to describe the statistical distribution of the data. The modeling approach is capable of self-adaptation and can be applied to hyperspectral images with different characteristics. Experimental results demonstrated that the proposed approach can obtain more accurate results than the other state-of-the-art approaches.
International Conference on Digital Manufacturing and Automation
Fire spreading;dynamic monitoring;computer simulation;GIS
The happening of forest fire has the characteristics of inevitability and chance. How can we effectively control firing disaster and make use of forest fire it is urgent to implement dynamically monitoring for forest fire. This paper,which analyzing comprehensively fire spreading model and some influenced internal & external factors, is concentrated on how to study fire spreading regularity and Fire simulation base on the knowledge of Maths and computer by means of GIS and RS, The system can monitor fire point in real time and extract forest fire in initial information through meteorological satellite ground received station that has been built.
Open Cybernetics and Systemics Journal,2014年8(1):191-199
[Huang, Zuo-Wei; Yang, Min-Hua] School of Geosciences and Information-Physics, Central South University, Changsha, 410083, China;[Huang, Zuo-Wei; Zou, Yu] School of Architecture and Urban planning, Hunan University of Technology, Zhuzhou, 412008, China
[Hu, Guangwei; Huang, Zuowei] School of Architecture and urban planning, Hunan University of Technology, Zhuzhou, 412008, China;[Liu, Feng] School of Geosciences and Information-Physics, Central South University, Changsha, 410083, China