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ABSTRACT: Using aerial photos and high resolution satellite images of the year of 2004, this paper establishes remote sensing interpretation
marks of the Great Wall of Ming Dynasty’s damaged levels. Based on field survey and remote sensing survey in 1984, we analyzed
present situation and changing characteristics being of the Great Wall of Ming Dynasty in Beijing. The results show that about
7.02% of the wall is well-preserved (about 25861 m); 31.5% of the wall is slightly or moderately damaged (about 115989 m);
61.5% of the wall is badly damaged (about 226379 m). This paper analyzes the dynamic change of the Great Wall of Ming Dynasty.
It shows that the damaged situation of the Great Wall of Ming Dynasty in Beijing is serious. From 1984 to 2004, the well-preserved
wall is decreased by 33206 m (decreased by 56%); badly damaged wall increased by 51207 m (increased by 67%). Finally, this
paper analyzes the influence factors of damaging Great Wall. The conclusion is as follows: The damaged Great Wall is generally
near the roads and villages, small slope, and easily arriving land.
Science in China Series E Technological Sciences 05/2012; 51:195-202. · 1.02 Impact Factor
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ABSTRACT: To investigate the dynamic changes in the artificial vegetation in an abandoned mining site, we analyzed the relationships
among community types, environmental variables and community structure in the process of vegetation restoration in the Antaibao
mining site, China by survey of the communities and use of biological dating methods. By means of the quantitative classification
method (two-way indicator-species analysis, TWINSPAN) and the ordination technique (de-trended correspondence analysis, DCA;
and de-trended canonical correspondence analysis, DCCA), the plant communities were classified into seven groups: community
I, Robinia pseudoacacia + Pinus tabulaeformis-Caragana korshinskii-Agropyron cristatum; community II, Robinia pseudoacacia-Hippophae rhamnoides-Artemisia capillaries; community III, Ulmus pumila-Elaeagnus angustifolia-Artemisia capillaries;community IV, Caragana korshinskii-Agropyron cristatum + Artemisia capillaries; community V, Hippophae rhamnoides-Elymus dahuricus; community VI, Elaeagnus angustifolia + Hippophae rhamnoides-Brassica jucea;community VII, Hippophae rhamnoides + Elaeagnus angustifolia-Salsola collina. We conclude that the community types and diversity are mainly influenced by the succession time and the soil organic matter
content. The forest community is more adaptable to the special inhabitation than the shrub community.
Frontiers of Biology in China 04/2012; 4(2):222-227.
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ABSTRACT: Air entrapment is an important consideration in environments with shallow water tables and sandy soil, like the condition
of highly conductive sandy soils and flat topography in Florida, USA. It causes water table rises in soils, which are significantly
faster and higher than those in soils without air entrapment. Two numerical models, Integrated Hydrologic Model (IHM) and
HYDRUS-1D (a single-phase, one-dimensional Richards’ equation model) were tested at an area of west central Florida to help
further understanding the shallow water table behavior during a long term air entrapment. This investigation employed field
data with two modeling approaches to quantify the variation of air pressurization values. It was found that the air pressurization
effect was responsible at time up to 40 cm of water table rise being recorded by the observation well for these two models.
The values of air pressurization calculated from IHM and HYDRUS-1D match the previously published values. Results also indicated
that the two numerical models did not consider air entrapment effect (as the predictive parameters remain uncertain) and thus
results of depth to water table from these models did not compare to the observations for these selected periods. Incorporating
air entrapment in prediction models is critical to reproduce shallow water table observations.
Keywordsshallow water table–Lisse effect–air entrapment–Integrated Hydrologic Model (IHM)–HYDRUS-1D–Florida
Chinese Geographical Science 04/2012; 21(2):249-256. · 0.50 Impact Factor
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ABSTRACT: Taking a typical inland wetland of Honghe National Nature Reserve (HNNR), Northeast China, as the study area, this paper studied
the application of L-band Synthetic Aperture Radar (SAR) image in extracting eco-hydrological information of inland wetland.
Landsat-5 TM and ALOS PALSAR HH backscatter images were first fused by using the wavelet-IHS method. Based on the fused image
data, the classification method of support vector machines was used to map the wetland in the study area. The overall mapping
accuracy is 77.5%. Then, the wet and dry aboveground biomass estimation models, including statistical models and a Rice Cloudy
model, were established. Optimal parameters for the Rice Cloudy model were calculated in MATLAB by using the least squares
method. Based on the validation results, it was found that the Rice Cloudy model produced higher accuracy for both wet and
dry aboveground biomass estimation compared to the statistical models. Finally, subcanopy water boundary information was extracted
from the HH backscatter image by threshold method. Compared to the actual water borderline result, the extracted result from
L-band SAR image is reliable. In this paper, the HH-HV phase difference was proved to be valueless for extracting subcanopy
water boundary information.
Keywordsinland wetland–ALOS PALSAR–wetland mapping–aboveground biomass estimation–subcanopy water boundary extraction
Chinese Geographical Science 04/2012; 21(2):241-248. · 0.50 Impact Factor
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ABSTRACT: The landscape pattern of Beijing wetlands has undergone a significant change as a result of natural and artificial elements.
Supported by remote sensing and GIS technology, using multi-temporal TM images from 1984 to 2008 in Beijing, this paper analyzed
the dynamic characteristics of wetlands landscape pattern through selected typical indices including patch area, patch average
area, fractal dimension index, diversity, dominance, contagion indices and the spatial centroids of each wetlands type were
calculated. Finally, the paper explored the evolution mode and driving factors of wetland landscape pattern. The results were
obtained as follows: the total wetland area increased during the period 1984–1996, then decline from 1996 to 2004. The wetland
area in 1994 accounted for only 47.37% of that in 2004. The proportion of artificial wetland area was larger than that of
natural wetland. The proportion of reservoir wetland was 33.50% to 53.73% and had the maximum average area. pond and paddy
field wetland type with the least average area accounted for 16.46% to 45.09% of the total wetland area. The driving forces
of the natural river wetland were mainly natural elements; its fractal dimension index was greater than the others. The Shannon
diversity index of wetland landscape increased from 1.11 in 1992 to 1.34 in 2004, indicating that the difference between proportions
of each wetland type decreased and areas of each wetland type were evenly distributed. The contagion index went down from
65.59 to 58.41, indicating that the connectivity degraded. Miyun Reservoir had the largest area and its area change had a
great impact on the location of the centroid. Wetland resources degenerated gradually from the joint effects of natural and
artificial factors. During the period 2006–2008, the precipitation increased and the drought condition was relieved. The government
implemented series of positive policies to save water resources, and the wetland area increased.
KeywordsBeijing–wetland resource–landscape pattern–evolution characteristic–driving factors
Journal of Geographical Sciences 04/2012; 21(5):845-858. · 0.83 Impact Factor
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2011 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2011, Vancouver, BC, Canada, July 24-29, 2011; 01/2011
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2011 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2011, Vancouver, BC, Canada, July 24-29, 2011; 01/2011
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ABSTRACT: In order to obtain the information about how irrigations with recycled water affecting the cultivable microbial population of the rhizosphere of turfgrasses.
We isolated strains from two irrigated areas with recycled water (RW) and drinking water (DW) in Taoranting Park in Beijing, China, by using diluting plate and counting method, and analyzing the 16S rDNA sequence of the isolates.
We obtained 20 and 25 strains with different morphological character of colonies from the area irrigated with DW and area irrigated with RW, respectively. The sequence analysis of 16SrDNA showed that RW-irrigated system supported more complex communities of 18 genus and 24 species, whereas the DW-irrigated system only supported 15 genus and 20 species. Both samples had similar microbial population. There were 9.7% or 13.4% alphaproteobacteria, 8.1% or 12.3% betaproteobacteria, 17.9% or 42.0% gammaproteobacteria, 13.0% or 2.9% bacteroidetes, 23.6% or 10.1% firmicutes, and 27.6% or 19.6% actinobacteria at the rhizosphere of turfgrasses irrigated with DW or RW respectively. The dominant bacteria in DW area were the genera Bacillus whereas that of RW area was the genera Acinetobacter. Other than the gammaproteobacteria, the dominant genera in other groups of two areas were similar.
The result showed that the bacterial community composition of rhizosphere samples did not change, but the distribution of different types of bacteria does change after irrigation by reclaimed water, which were determined by the abundance increasing of the dominant species and the appearance or disappearance of non-dominant species. Finally, it is important that the control of the pathogen and metal should be enforced when using RW for irrigation.
ACTA MICROBIOLOGICA SINICA 11/2010; 50(11):1519-24.
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ABSTRACT: This research diagnoses the exposure of the residential population and the vulnerable groups of children and elderly people to air particle pollution in urban Beijing. We surveyed the air particle pollutant concentrations in the field. We used a universal kriging model in a geographic information system to interpolate the spatial distributions of each pollutant. Spatial patterns of air particle pollution were overlaid to community-level population distributions to identify the community exposures to high air particle pollution. Spatial and statistic modeling reveals that high concentration of ultra-fine air particles of particulate matter (PM) 0.3 µm is strongly associated with high-population urban communities in the southwest and central western areas in the winter season. By contrast, all the other particle sizes surveyed (PMs of 0.5, 1.0, 3.0, and 5.0 µm) indicate that high concentrations in the summer are associated with high-population communities. Reversed spatial and temporal patterns between PM 0.3 µm and other particle sizes suggest that PM 0.3 µm may have different sources of origin.
Environmental Geosciences. 01/2010; 17:1-16.
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The 18th International Conference on Geoinformatics: GIScience in Change, Geoinformatics 2010, Peking University, Beijing, China, June, 18-20, 2010; 01/2010
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The 18th International Conference on Geoinformatics: GIScience in Change, Geoinformatics 2010, Peking University, Beijing, China, June, 18-20, 2010; 01/2010
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The 18th International Conference on Geoinformatics: GIScience in Change, Geoinformatics 2010, Peking University, Beijing, China, June, 18-20, 2010; 01/2010
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The 18th International Conference on Geoinformatics: GIScience in Change, Geoinformatics 2010, Peking University, Beijing, China, June, 18-20, 2010; 01/2010
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The 18th International Conference on Geoinformatics: GIScience in Change, Geoinformatics 2010, Peking University, Beijing, China, June, 18-20, 2010; 01/2010
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The 18th International Conference on Geoinformatics: GIScience in Change, Geoinformatics 2010, Peking University, Beijing, China, June, 18-20, 2010; 01/2010
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IEEE International Geoscience & Remote Sensing Symposium, IGARSS 2010, July 25-30, 2010, Honolulu, Hawaii, USA, Proceedings; 01/2010
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IEEE International Geoscience & Remote Sensing Symposium, IGARSS 2010, July 25-30, 2010, Honolulu, Hawaii, USA, Proceedings; 01/2010
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IEEE International Geoscience & Remote Sensing Symposium, IGARSS 2010, July 25-30, 2010, Honolulu, Hawaii, USA, Proceedings; 01/2010
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Seventh International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2010, 10-12 August 2010, Yantai, Shandong, China; 01/2010
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ABSTRACT: Groundwater plays more and more important role in people's daily lives and social development in the study area for lack of surface water resources. So works of groundwater quality monitoring and assessment have great meaning to protect the public health. The geographic information system (GIS), as an analysis tool and visualization platform, is used to support data used, monitoring and groundwater quality assessment. In this research, about 140 hydrogeochemical data of the groundwater quality were collected. According to the requisition of the Chinese Groundwater Quality Standard, 17 parameters were chosen as the assessment indexes. And maximum contaminant level value of indexes such as arsenic, lead and fluoride were modified to meet the goal of public health protection. Then comprehensive assessment model was built to evaluate the groundwater quality base on GIS and groundwater quality distribution was analysis and mapped. The evaluation results indicated that four parameters in groundwater including total hardness, sulfate, TDS, chloride are major factors that influence the groundwater quality. The results also show that the groundwater quality in most areas is good enough to serve as drinking water supply and other purposes in the basin.
Bioinformatics and Biomedical Engineering , 2009. ICBBE 2009. 3rd International Conference on; 07/2009
