State Key Laboratory Incubation Base of Urban Environmental Processes and Digital Simulation

Beijing, China

State Key Laboratory Incubation Base of Urban Environmental Processes and Digital Simulation

Beijing, China
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Jiao S.,Capital Normal University | Jiao S.,State Key Laboratory Incubation Base of Urban Environmental Processes and Digital Simulation | Jiao S.,Beijing Key Laboratory of Resource Environment and Geographic Information System | Yu J.,Capital Normal University | And 7 more authors.
Canadian Journal of Remote Sensing | Year: 2017

High-rise buildings in the modern urban setting may have a considerable impact on land subsidence. The process of urbanization in Beijing has been found to be in direct relationship with the land subsidence. The permanent scatterers interferometric aperture radar (PSInSAR) technology is becoming a conventional tool for land subsidence monitoring. Synthetic aperture radar (SAR) tomography, as an extension of PSInSAR technology, allows a full 3D imaging, and is useful to reconstruct 3D urban building maps. In this study, a SAR tomography method “scale-down by L1 norm minimization, model selection, and estimation reconstruction” (SL1MMER) was applied to 33 TerraSAR-X images to retrieve building height. The object-oriented classification method based on the support vector machine was applied on the World View 2 image to extract geometry of building footprints and to aggregate SL1MMER derived building heights for each building. The building footprints and building heights were used to calculate the volume of buildings. The Stanford method for persistent scatterers, a PSInSAR methodology, was used to obtain land subsidence rates. The correlation coefficient between the building volumes and land subsidence showed no positive relationship for buildings that were below a certain volume. However, at local scale, with the increase of the building volumes, the correlation increased. The larger the volume of buildings, the stronger the relationship became. Once the volume of buildings became larger than 3.00 × 105 m3, the impact of building volume on land subsidence remained stable. © 2017, Copyright © CASI.


Li S.,Beijing Municipal Research Institute of Environmental Protection | Li S.,Center for Industrial Wastewater Pollution Control | Huang X.,Chinese Research Academy of Environmental Sciences | Gong H.,Beijing Normal University | And 5 more authors.
Journal of Natural Disasters | Year: 2015

By the impact of the natural environmental factors (such as topography, stratum lithology, geological structure, etc.) and the inducing factors (such as rainfall, earthquakes, etc.), the characteristics of the landslides distribution in space are extremely complex, however, its spatial distribution still has internal rules. This paper takes the time of "Wenchuan earthquake" extreme event as the time phasing point, quadrat-based point pattern analysis of landslide point space distribution indicates that the landslide point group showes a spatial agglomeration model before and after the earthquake. This results demonstrate that the occurrence of landslide in the study area are not random events before and after the earthquake, but the results of the natural environmental factors, or factors combination; and the landslide point spatial distribution of Wenchuan earthquake heavy disaster area has self-similar structure in statistical sence, no characteristic scale.


Huang X.-J.,State Key Laboratory Incubation Base of Urban Environmental Processes and Digital Simulation | Huang X.-J.,Chinese Academy of Geological Sciences | Huang X.-J.,Beijing Key Laboratory of Resource Environment and Geographic Information System | Wu Z.-H.,Chinese Academy of Geological Sciences | And 9 more authors.
Geological Bulletin of China | Year: 2014

In this paper, 3D visual image was constructed to interpret the distribution and geometric structure characteristics of active faults based on LANDSAT ETM+/ASTGTM data obtained in northwest Yunnan Province, and then some basin parameters which indicated the fault activities were extracted from 31 basins. Finally, the characteristics of active faults were summed up, and their activities were divided into three grades, i.e., strong, medium and weak. The results show that there exist significant difference and zoning in the faults' activities within this zone. The activity of the Lijiang-Dali and Chenghai-Binchuan faults are strong, that of the Jianch-uan-Qiaohou faults is of the medium grade, and that of the Tonggian-Weishan faults belongs to the weak grade. Strong active faults are distributed around the boundary of northwest Yunnan rift zone. In terms of the latitude, the activities of the faults in the south and the north are the strongest, whereas those in the central part are weak. In the light of the longitude, the faults' activities on both east side and west side are strong, whereas those in the central part are weak. The differences of the fault activities are on the whole consistent with historical earthquake activities.


Wang J.,Capital Normal University | Wang J.,State Key Laboratory Incubation Base of Urban Environmental Processes and Digital Simulation | Wang J.,Laboratory of 3D Information Acquisition and Application | Wang J.,Beijing Municipal Key Laboratory of Resources Environment and GIS | And 16 more authors.
Chinese Journal of Environmental Engineering | Year: 2013

This study is centered on the water quality monitoring of Tonghui River, which is supplied by recycled water, and has adopted the Fuzzy Synthetic Evaluation (FSE) approach to assess the water quality of Tonghui River. The results of FSE show that the water emitted from Gaobeidian sewage treatment plant is relatively preferable to level II, which reduces the water-pollution level of Tonghui River. Moreover, two multivariate statistic techniques were employed: (1) Hierarchical cluster analysis(HACA) classified the water into two groups of similar water quality characteristics, and analyzed the difference from one cluster to another in terms of 18 variables. The analysis demonstrated that the main pollution of the first kind was phosphorus and nitrogen pollution caused by nitrate nitrogen, which belongs to industrial pollution; however, the pollution of the second type is mainly organic pollution engendered by domestic sewage. (2) Factor analysis (FA) was introduced to analyze the pollution sources. The main pollutants of the river come from the following ones: ammonia nitrogen, nitrate nitrogen, and organic pollutants which were discharged from the outlets. In order to protect the quality of reclaimed water, it is necessary to set up key monitoring stations in areas where there is poor water quality and exercise strict control over the clandestine discharge of wastewater simultaneously.


Wei L.,Capital Normal University | Wei L.,Laboratory of 3D Information Acquisition and Application | Hu Z.,Capital Normal University | Hu Z.,Laboratory of 3D Information Acquisition and Application | And 6 more authors.
Marine Pollution Bulletin | Year: 2015

Oil spills are one of the major sources of marine pollution; it is important to conduct comprehensive assessment of losses that occur as a result of these events. Traditional methods are required to assess the three parts of losses including cleanup, socioeconomic losses, and environmental costs. It is relatively slow because assessment is complex and time consuming. A relatively quick method was developed to improve the efficiency of assessment, and then applied to the Penglai 19-3 accident. This paper uses an SAR image to calculate the oil spill area through Neural Network Classification, and uses historical oil-spill data to build the relationship between loss and other factors including sea-surface wind speed, and distance to the coast. A multiple regression equation was used to assess oil spill damage as a function of the independent variables. Results of this study can be used for regulating and quickly dealing with oil spill assessment. © 2014 The Authors.


Huili G.,State Key Laboratory Incubation Base of Urban Environmental Processes and Digital Simulation | Huili G.,Beijing Key Laboratory of Resource Environment | Huili G.,Key Laboratory of 3 Dimensional Information Acquisition and Application | Huili G.,Capital Normal University | And 9 more authors.
European Space Agency, (Special Publication) ESA SP | Year: 2013

Inhalable particulate matter (IPM) is one of the principal pollutants in Beijing. Sand weather in spring and winter seasons partly because of regional airflow, in most cases it is results from autochthonic pollution, especially in heating season of winter. In this paper, the law of temporal spatial distribution of IPM and the relationship between IPM and influence factors were studied combing RS techniques with ground-based monitoring. The change of underlying surface which were obtained from high resolution Remote Sensing images in different periods was analyzed; the content of different diameter of particles were collected by ground observation instrument and chemical composition were analyzed; the relationship of distribution of IPM and underlying surface was studied using spatial analysis of GIS. The results indicate that the pollution distribution of IPM has a very close relation with underlying surface, man-made pollution sources, population density and meteorological factors.


Huili G.,State Key Laboratory Incubation Base of Urban Environmental Processes and Digital Simulation | Huili G.,Beijing Key Laboratory of Resource Environment and Geographic Information System | Huili G.,Key Laboratory of 3 Dimensional Information Acquisition and Application | Huili G.,Capital Normal University | And 9 more authors.
European Space Agency, (Special Publication) ESA SP | Year: 2013

Inhalable particulate matter (IPM) is one of the principal pollutants in Beijing. Sand weather in spring and winter seasons partly because of regional airflow, in most cases it is results from autochthonic pollution, especially in heating season of winter. In this paper, the law of temporal spatial distribution of IPM and the relationship between IPM and influence factors were studied combing RS techniques with ground-based monitoring. The change of underlying surface which were obtained from high resolution Remote Sensing images in different periods was analyzed; the content of different diameter of particles were collected by ground observation instrument and chemical composition were analyzed; the relationship of distribution of IPM and underlying surface was studied using spatial analysis of GIS. The results indicate that the pollution distribution of IPM has a very close relation with underlying surface, man-made pollution sources, population density and meteorological factors.


Meng D.,State Key Laboratory Incubation Base of Urban Environmental Processes and Digital Simulation | Wang M.,Beijing Key Laboratory of Resource Environment and Geographic Information System | Li X.,Key Laboratory of Dimensional Information Acquisition and Application | Gong H.,Capital Normal University
Shengtai Xuebao/ Acta Ecologica Sinica | Year: 2013

The urban thermal environment is an important element for the urban ecological environment, urban climate and urban disasters. This paper selected MOD11A2, the MODIS LST night data to study the thermal environment evolution in Beijing, Shanghai and Guangzhou, which are the three major cities of China in the past decade. Three methods have been applied in the paper, Landscape centroid evolution, Landscape pattern index and spatial autocorrelation. Three main conclusions have been drawn as follows. Firstly the thermal landscape distributions in the three cities have moved from the suburb to the downtown. And the evolution trend of the thermal landscape is changed from the low temperature region, sub- middle temperature region to middle temperature region, sub-high temperature region and high temperature region. Secondly, among these five types of thermal landscape, the middle temperature region is the most prevalent. The urban thermal landscape fragmentation was highest in Shanghai among the three cities, and sub-middle and high temperature region has the highest fragmentation. The urban thermal landscape dispersion was highest in Beijing, and the dispersion of low and high temperature region was higher than the other types of thermal landscapes. Thirdly, thermal environment spatial autocorrelation analysis showed that the high-high temperature zones were adjacent, low-low temperature areas were adjacent, which are the main types in the temperature spatial agglomeration. And for Beijing and Guangzhou city, the high- high temperature zone located in the south of the city, the low-low temperature region located in the north. While, the spatial autocorrelation distribution of LST in Shanghai is more complicated. The distribution areas of high-high temperature varied among the three cities in the past decade. In Beijing, the distribution area increased shortly after decreasing, and in Guangzhou, the distribution area continued to decline, which preliminary reflects the heat island effect problem aggravated in Beijing, while weakened in Shanghai and Guangzhou. Through comparisons and analysis, the paper has provided a reference for urban planning and urban living environment improvements, but there are still some inadequacies to be further studied. Firstly, this study only selected the January night LST data in the three cities. Because the time factors, such as season, daytime and nocturne, will affect the urban heat environment pattern, the comprehensiveness of the thermal environment pattern changes need to be improved. In addition, the paper only selected the data in the period of three years, the evolution regulation of the urban thermal environment pattern is not precise. Secondly, the landscape of urban heat environment were impacted by many factors, including the pattern of landuse, urban surface construction, weather conditions, terrain, anthropogenic heat emissions factors and so on. The analysis between the urban heat environment and impact factors will help reveal the mechanism of urban heat environment and which will be studied further.


Zhu L.,Capital Normal University | Zhu L.,State Key Laboratory Incubation Base of Urban Environmental Processes and Digital Simulation | Zhu L.,Beijing Key Laboratory of Resources Environment and Geographic Information System | Liu C.,Capital Normal University | And 9 more authors.
Diqiu Kexue - Zhongguo Dizhi Daxue Xuebao/Earth Science - Journal of China University of Geosciences | Year: 2013

The WetSpass model is used to analyze the impact of urbanization on precipitation infiltration recharge in Beijing Plain combined with the technology of GIS (geographic information system) and RS (remote sense) in this paper. Based on the simulated precipitation infiltration in 1982 and 2007, the influence of land use changing on the precipitation infiltration is quantitatively analyzed by assuming the land-use type in 2007 was the same as that in 1982, and re-running WetSpass model with other input data in 2007. The transfer matrix is used to analyze the mutual transformation relationship of land-use types in the above-mentioned two years, and the statistical function of GIS is used to calculate the groundwater recharge under different land-use types. Results show that the area of irrigable land decreased by 874 km2 from 1982 to 2007, among which 517 km2 turned to the central urban land. The central urban area increased by about 831 km2. The increasing urban area and the decreasing crop area eventually lead to the reduction of the average groundwater recharge. The groundwater recharge decreased by about 3×107 m3 in 2007 compared with the value under the simulated condition. The precipitation infiltration changed obviously in the region around Chaoyang and Fengtai districts characterized by significant urban expansion. This study can be a scientific reference for the groundwater resources protection and city layout of Beijing Plain.

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