Urban Environmental Processes and Digital Modeling Laboratory
Urban Environmental Processes and Digital Modeling Laboratory
Di Y.-M.,Capital Normal University |
Di Y.-M.,Urban Environmental Processes and Digital Modeling Laboratory |
Wang G.-X.,Capital Normal University |
Wang G.-X.,Urban Environmental Processes and Digital Modeling Laboratory |
And 4 more authors.
Huanjing Kexue/Environmental Science | Year: 2017
In order to study the effect of reclaimed water on bacterial community composition and function in urban river sediment, the changes of bacteria community diversity, composition and function in Mayu wetland upon the supply of reclaimed water were investigated by a range of sophisticated procedures, including Terminal Restriction Fragment Length Polymorphism(T-RFLP), 16S rRNA clone library technology, and Real-time Quantitative PCR Detecting System(qPCR).The results showed that carbon, nitrogen and phosphorus were major factors driving the variation of bacterial diversity and community structure in river sediment, and the bacteria were gradually recovered after purification in downstream under the effect of artificial wetland. In addition, the bacterial community in reclaimed water outfall was mainly constituted by β-Proteobacteria, δ-Proteobacteria, Bacteroidales and Cyanobacteriain, and ε-Proteobacteria, Chloroflexi and Spirochaetes were unique groups. Besides, the major biological geochemical cycle was nitrogen, carbon and phosphorus cycle in river sediment, which was closely related to functional genes. There were about 45.9% of the clones related to nitrogen cycle in reclaimed water outfall, such as Comamonas sp., higher than those of upstream and downstream (27.7% and 23.4%), 17.9% of the clones were closely related to the carbon cycle, such as Lysobacter sp., higher than those of upstream and downstream (14.4% and 12.9%). Furthermore, the trace of pathogenic bacteria and antibiotics in reclaimed water also changed the transformation pattern participating in carbon and nitrogen cycle, for example, Rhodocyclus sp. conducted nitrogen fixation by photosynthesis in reclaimed water outfall, whereas Burkholderia sp. fixes nitrogen by ways of plants symbiotic nitrogen fixation in upstream and downstream. This research provides theoretical reference for studies on remediation of reclaimed water supplying river by artificial wetland. © 2017, Science Press. All right reserved.
Wang Z.,Capital Normal University |
Li X.,Capital Normal University |
Li X.,Urban Environmental Processes and Digital Modeling Laboratory |
Li X.,Laboratory of 3D Information Acquisition and Application |
And 5 more authors.
Proceedings of SPIE - The International Society for Optical Engineering | Year: 2014
In order to take full advantage of the multi-source remote sensing data, the concept of image fusion was proposed and nowadays, many fusion algorithms have been produced, so the adaptability of the algorithm has become a hot topic. This article aiming at the panchromatic and multispectral images of Worldview-2, uses the different fusion methods, including PCA, HPF, Gram-Schmidt and wavelet transform, to fuse the image, and evaluates the results from the aspects of the statistical information, spectral information and spatial characteristics. Then it takes the extracting vegetation as an example, analyzes the applicability of different fusion methods. The research shows that Gram-Schmidt and wavelet transform have better fusion quality and Gram-Schmidt is the most suitable method to extract vegetation for Worldview-2. © 2014 SPIE.
Huang D.,Capital Normal University |
Huang D.,Urban Environmental Processes and Digital Modeling Laboratory |
Huang D.,Beijing Municipal Key Laboratory of Resources Environment and GIS |
Xiong W.,Capital Normal University |
And 6 more authors.
Huanjing Kexue Xuebao/Acta Scientiae Circumstantiae | Year: 2014
In order to describe temporal and spatial variations in water quality and to identify pollution sources, water quality of a typical constructed wetland in Olympic Forest Park of Beijing was evaluated. Fuzzy Comprehensive Assessment (FCA) was applied to estimate the overall water situation of each season/functional area. Hierarchical Discriminant Analysis (HDA), together with Spearman Correlation Analysis, was used to identify significant parameters. Principal Component Analysis/Factor Analysis (PCA/FA) was applied to extract the responsible sources/factors in each season. The results demonstrated relatively high water quality of the constructed wetland in Olympic Forest Park, which was suitable for landscape reuse. The most severe contamination occurred in autumn (temporal scale) and main lake/mixed oxidation pond (spatial scale). CODMn, NO3 --N, ORP and TN accounted for 91.8% of total temporal variance and thus monitoring should be strengthened; Chl-a, CODMn, DO and pH account for 55.1% of total spatial variance, and the low accuracy in HDA indicated similar pollution characteristics within these 5 function areas. Internal pollution was the major pollutant source in all selected seasons. The constructed wetland was largely affected by organic matters in spring, was contaminated by nutrient pollutant (N and P) in summer, and was threatened by eutrophication in autumn. The major source in reclaimed water treatment area was nutrient pollutant (N and P), while internal pollutant dominated in other functional areas. Enhancing the water circulation and shortening the hydraulic retention time can effectively degrade the effect of nutrient salts and organic pollutants.
Guo Y.,Capital Normal University |
Guo Y.,Laboratory of 3D Information Acquisition and Application |
Guo Y.,Beijing Municipal Key Laboratory of Resources Environment and GIS |
Gong H.,Urban Environmental Processes and Digital Modeling Laboratory |
And 5 more authors.
Applied Microbiology and Biotechnology | Year: 2015
Wetland plant rhizosphere microorganisms play a significant role in the purification of ecological restoration of reclaimed water replenishment wetlands. In this study, water quality discriminant analysis indicated the wetland had a distinctive role in the purification of total nitrogen (TN), total phosphorus (TP), and nitrate (NO3 −) from reclaimed water, of which removal rates were 42.15, 47.34, and 28.56 % respectively. All the sequences of 16S ribosomal RNA (16S rRNA) gene clone library were affiliated with Proteobacteria (74.50 %), Bacteroidetes (6.54 %), Gemmatimonadetes (5.88 %), Chloroflexi (4.25 %), Chlorobi (2.94 %), Nitrospira (2.61 %), Acidobacteria (2.29 %), and Actinobacteria (0.98 %). Assessment of water quality purification and rhizosphere bacterial properties revealed that the major biogeochemical reactions were nitrogen, phosphorus, carbon, and sulfur cycles (33.70, 15.40, 14.40, and 4.90 %, respectively). In addition, approximately 5.90 and 4.60 % of the clones are closely related with the minor biogeochemical degradations of antibiotics and halogenated hydrocarbons, which were the typical characteristics of reclaimed water wetland different from freshwater wetlands. The finding of water quality discriminant is consistent with that of bacterial community, but the latter was a more powerful method than the former which reveals possible implications of wetland plant purification on the reclaimed water. © 2014, Springer-Verlag Berlin Heidelberg.
Guo C.F.,Capital Normal University |
Guo C.F.,Urban Environmental Processes and Digital Modeling Laboratory |
Guo C.F.,Laboratory of 3D Information Acquisition and Application |
Guo C.F.,Beijing Municipal Key Laboratory of Resources Environment and GIS |
And 4 more authors.
Advanced Materials Research | Year: 2014
Wetlands is a superior way to purify water environment. However monitoring and discriminating among vegetation covers types are critical to understanding population distribution, biogeochemical functioning and the process of wetland recovery. Recently, remote sensing technology has become an important tool to monitor wetland vegetation. Typical wetland plants Bidens Pilosa, Scirpus planiculumis, Phragmites australis and Typha angustifolia in Wild duck wetland were chosen, and Mann-Whitney U-test were used to analyze the spectral characteristics. There were typical vegetation spectral characteristics of dominant species spectral reflectance curve. There are differences among reflective spctral characteristic of species, especially in the "green peak" and "steep reflection". According to the results of Mann-Whitney U-test, the highest frequency bands appeared in702-715,732-745,747nm, the classification precision of Bidens pilosa, Scirpus planiculumis and Phragmites australis are 100%, 100%, 80%. While It is difficult to distinguish Typha angustifolia from other species effectively using the three spectrum regions. © (2014) Trans Tech Publicutions, Switzerland.
Xiong W.,Capital Normal University |
Xiong W.,Urban Environmental Processes and Digital Modeling Laboratory |
Xiong W.,Laboratory of 3D Information Acquisition and Application |
Xiong W.,Beijing Municipal Key Laboratory of Resources Environment and GIS |
And 8 more authors.
Shengtai Xuebao/ Acta Ecologica Sinica | Year: 2013
Reclaimed water as supplemental source of urban rivers and lakes is regarded as an important approach to improve urban aquatic ecological environment. However, high concentration of nitrogen and phosphorus from reclaimed water can easily lead to eutrophication. Bacteria in constructed wetland are known to play an important role in aquatic ecological remediation. The community structure and diversity of cultural associated bacteria in roots of reed (phragmites australis) growing in reclaimed water management system (reclaimed water treatment unit, cycling water treatment unit, oxidation ponds) in Beijing Olympic Park was investigated in summer and autumn by 16S rDNA cloning, Amplified Ribosomal DNA Restriction Analysis (ARDRA), and sequence homology comparison. Canonical Correspondence Analysis (CCA) and Two way Indicator Species Analysis (TWINSPAN) were used to estimate and statistical test the effects of environmental variables and other explanatory variables on bio-communities, especially to unravel the simultaneous response of the species in a bacteria community to environmental variations when the effects are hidden by other large sources of variation. Cluster analysis on bacteria clones showed that 29 operational taxonomic units (OTUs) were identified based on the similarity of ARDRA banding profiles in 328 cultural clones. Environmental changes resulted into a seasonal shift of bacteria community on community density and diversity in reclaimed water management system. Community density and evenness of root-associated aerobic bacteria in summer increased 76. 37% -96. 70% than those in autumn. Kinds of inflow (reclaimed water or cycling water) and types of matrix both contributed to spatial variability of bacterial community. There was relative high community diversity and density with reclaimed water inflow and IVCW matrix in reclaimed water treatment unit. Spatial variability of bacteria community in summer increased with altering dominant species in each unit and more accidental species. Therefore, reclaimed water treatment unit in summer with the highest community density (29. 9 × 107 CFU/ g roots weight) and the Shannon-Weaver (H'=1. 824). CCA and TWINSPAN analysis revealed that OTU1 and OTU28 in constructed wetland system were with the wide ecological amplitude, which contributed to the stability of constructed wetland system and hardly disturbed by water viabilities, played an important role in material metabolism and energy metabolism. NH+ 4,TN,ORP,TP in water drived seasonal variability of community structure of reed root-associated aerobic bacteria, while NO- 3, TDS, pH, Sal in water leaded to spatial variability community structure of reed root-associated aerobic bacteria of summer reclaimed management system.
Li D.-Q.,Capital Normal University |
Li D.-Q.,Urban Environmental Processes and Digital Modeling Laboratory |
Liang J.,Huazhong University of Science and Technology |
Zhang L.-Y.,Capital Normal University |
And 5 more authors.
Zhongguo Huanjing Kexue/China Environmental Science | Year: 2015
Multivariate statistical methods were used to analyze the temporal variations of water quality from 1991 to 2011 in the Miyun Reservoir. The dataset consisted of 17 variables monitored monthly at three sites. Clustering analysis showed that the water quality could be divided into three groups at interannual scale: IA I(1991~1993, 1995), IA II(1994, 1996~2000, 2002~2006), IA III(2001, 2007~2011), and two groups at seasonal scale: non-flood season (November-December, January-April), flood season (May-October). Discriminant analysis (DA) was used to identify the primary parameters that resulted in the variation of water quality. Principal component analysis/factor analysis (PCA/FA) was used to extract the main sources/factors responsible for the pollution in IA I, IA II, IA III. The results demonstrated that TN and TP exceeded national II separately 0.96 times and 0.2 times. The high coefficient of variation for TP was attributed to the instability of wetland plants and human activities, and the great annual and seasonal variability resulted in the high coefficient of variation for NO3--N, the effective control of endogenous pollution such as conservation of water and soil, decreasing domestic wastewater and fertilize use and the countermand of cage culture improved water quality during 21 years, indicating the decreasing concentration of NO3--N; The seasonal variation of NO3--N took place in specific season. At interannual scale, water temperature increased with increasing air temperature; Dissolution of carbonate rock was accelerated due to increasing SO42- concentration affected by fertilizer use and industrial activities, which increased the concentrations of EC, Ca2+, Mg2+, SO42-, T-Hard, T-Alk; The concentrations of BOD5 decreased due to the internal pollution. At seasonal scale, the concentration of Mg2+ was higher in non-flood season than in flood season because of the dissolution of carbonate rock. At interannual scale, the pollution sources for IA I, IA II, IA III changed from a combined point and non-point pollution to primarily non-point pollution. The water quality was affected by the dissolution of carbonate rock in non-flood season and was impacted by the rainfall runoff in flood season. In the Miyun Reservoir, nitrogen pollution was predominantly derived from NO3--N. Enhancing the water circulation, decreasing non-point pollution (water and soil loss, fertilizer use and cage culture), and timely sediment dredging, can effectively decrease the concentrations of nitrogen, phosphorus, and organic and ionic pollutants. ©, 2015, Chinese Society for Environmental Sciences. All right reserved.
Guo C.,Capital Normal University |
Guo C.,Urban Environmental Processes and Digital Modeling Laboratory |
Guo C.,Laboratory of 3D Information Acquisition and Application |
Guo X.,Capital Normal University |
And 2 more authors.
Spectroscopy Letters | Year: 2016
Increasing amounts of recycled water have been used in wetlands; as such, monitoring the growth status of wetland plants with remote sensing technology is of great significance to restore and reconstruct wetland added by recycled water. In this paper, Phragmites australis and Typha angustifolia were selected. Spectral reflectance was determined in the visible domain to avoid the influence of leaf water on the established model; chlorophyll and nitrogen contents were measured as data sources. Statistical analysis, including correlation analysis and stepwise regression analysis, was conducted to estimate chlorophyll and nitrogen contents with different derivative transform spectra, namely, first derivative reflectance spectrum (FDS), band depth (BD), continuum-removed derivative reflectance (CRDR), band depth ratio (BDR), and normalized band depth index (NBDI). After the selected bands were statistically analyzed, we found that the range of 550-750 nm, particularly 700-750 nm (red edge range), was the key range to estimate biochemical parameters. Single removal cross-validation results showed that the optimum models of chlorophyll content inversion in reeds, cattails, and combined samples were BD, CRDR, and NBDI, respectively; the corresponding R2 were 0.87, 0.83, and 0.81. The respective RMSE values were 0.16, 0.15, and 0.33; the optimal models of nitrogen content inversion in reeds, cattails, and combined samples were BD, CRDR, and BD, respectively; the corresponding R2 were 0.69, 0.72, and 0.79. The respective RMSE values were 0.15, 0.11, and 0.17. Kruskal-Wallis non-parametric test and multi-way ANOVA were then performed; results revealed that data types and biological differences greatly influence the inversion model; by contrast, spectral derivative transform and vegetation type difference did not significantly affect the inversion model. Our results could be used as a scientific basis of the non-destructive growth status monitoring of wetland plants. It also provided a reference for restoration and management of wetlands supplied with recycled water. © 2016 Taylor and Francis Group, LLC.
Huang X.-R.,Capital Normal University |
Huang X.-R.,Urban Environmental Processes and Digital Modeling Laboratory |
Zhang Q.-Q.,Capital Normal University |
Zhang Q.-Q.,Urban Environmental Processes and Digital Modeling Laboratory |
And 4 more authors.
Zhongguo Huanjing Kexue/China Environmental Science | Year: 2016
Water reclamation and reuse have been actively promoted in Beijing, but the potential influences of reclaimed water on the microbial community structures are still poorly understood. Therefore, bacterial community structures in cattail rhizosphere between the samples of reclaimed water outfall and far from the reclaimed water outfall in the Mayu Wetland of Yongding River, Beijing were compared. Terminal restriction fragment length polymorphism (T-RFLP) was conducted to quantitatively detect the changes of bacterial community structures. Several statistical methods including one-way analysis of variance (ANOVA), spearman's correlation analysis and canonical correspondence analysis (CCA) were united to find out which were the key environmental factors to drive the bacterial community structure shifts. The result showed that microbial richness, evenness and diversity decreased with the increase of the reclaimed water interference intensity. The diversity of Gammaproteobacteria, Deltaproteobacteria, Chloroflexi, Epsilonproteobacteria and Actinobacteria were decreased significantly near the reclaimed water outfall. Spearman's correlation analysis indicated that pH, DO, TDS, ORP, Sal and NH4 +-N play an important role in the diversity spatial variation of plant rhizosphere microbial community. CCA indicated that TN, TOC, and Cr, Ni, Cu were significantly correlated with microbial communities structures of the upstream of reclaimed water outfall. Plant rhizosphere bacterial communities near the outfall were significantly different due to the reclaimed water quality difference. Group IIa and IIb were mainly affected by pH and T, ORP, NH4 +-N, respectively. While the bacterial communities in the downstream were also significantly correlated with TOC and some heavy metals due to water internal impurities and human activity influence. © 2016, Chinese Society for Environmental Sciences. All right reserved.
Ran Q.,Capital Normal University |
Pan Y.,Urban Environmental Processes and Digital Modeling Laboratory |
Wang Y.,Capital Normal University |
Chen L.,Capital Normal University |
Xu H.,Urban Environmental Processes and Digital Modeling Laboratory
Advances in Science and Technology of Water Resources | Year: 2013
By means of the gravity recovery and climate experiment ( GRACE) satellite and the global land data assimilation system (GLDAS), the change of groundwater storage in the Haihe River Basin over 72 consecutive months from 2004 to 2009 was investigated. On such a basis, a binary regression model for groundwater exploitation, the annual change of groundwater storage, and annual rainfall of the GRACE satellite was established based on the previously published data of rainfall and groundwater exploitation in the Haihe River Basin from 2004 to 2009. The change of groundwater storage derived from the GRACE and GLDAS data has a good correlation with the observed data, and the R2 is 0.804. Based on the annual data of change of groundwater storage and the annual rainfall data of the GRACE satellite, the estimated results of the groundwater exploitation are satisfactory, and the R2 of the binary regression model is 0.787, indicating that using the GRACE satellite data to estimate the groundwater exploitation is feasible and is a good complementary evaluation method for the traditional terrestrial investigation.