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Study on Hydrochemical Change Trend of Yarlung Tsangpo River Based on Artificial Neural Network
LIU Jiaju, LI Jincheng, GUO Huaicheng, YUAN Peng, LI Zheng, ZHANG Yang, WANG Zhiyong
Acta Scientiarum Naturalium Universitatis Pekinensis    2023, 59 (6): 1043-1051.   DOI: 10.13209/j.0479-8023.2023.093
Abstract98)   HTML    PDF(pc) (2184KB)(42)       Save
In order to reveal the trend of water chemistry change in the Yarlung Tsangpo River (Yajiang River) under the background of climate change and provide scientific and technological support for water resources and water environment management in the basin, based on the study of hydrochemical characteristics of the Yajiang River in 2016, 2017 and 2018, combined with the research results of existing research teams on hydrochemistry, this paper studies the trend of 11 hydrochemical components change of the upper, middle and lower reaches of the Yajiang River over the past 60 years by comprehensive use of linear tendency estimation, climate change model output and BP neural network model. The results show that the annual average temperature in the upper, middle and lower reaches of the Yajiang River Basin has been increasing obviously in the past 60 years. The average temperature warming rate was 0.38°C/10a. The precipitation in the Yajiang River Basin fluctuated obviously and showed an overall rising trend, with a rising rate of 7.34 mm/10a. pH value of the water in Yajiang River was weakly alkaline and showd an upward trend. TDS was higher than the average level of the world river (120 mg/L) and showed a trend of gradual increase. Based on the climate change model RCP4.5 scenario, the artificial neural network prediction shows that the TDS flux in the upper, middle and lower reaches of the Yajiang River Basin presents a gradually increasing trend, and the downstream will have a certain impact on the production and life of the downstream residents. 
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Global Sensitivity Analysis of Hydrological Parameters of the Watershed Simualtion Model
CAI Kaikui, LI Jincheng, HU Mengchen, MA Wenjing, YE Rui, LIU Yong
Acta Scientiarum Naturalium Universitatis Pekinensis    2022, 58 (4): 753-762.   DOI: 10.13209/j.0479-8023.2022.052
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A hydrological simulation model was developed for the Dashetai watershed in the Inner Mongolia Autonomous Region with LSPC (Loading Simulation Program in C++). Two global sensitivity analysis (GSA) methods, Morris and Sobol, were applied to identify hydrological sensitive parameters and sensitive surface landuse types. The impacts of two GSA methods and model output measures on sensitivity analysis results were also evaluated. The main conclusions are as follows. 1) The model has a good fit for daily and monthly runoff simulation. The R2 of the simulated value and the observed value is greater than 0.6, and NSE between them is greater than 0.5, which indicates that LSPC model is suitable for hydrological simulation of inland arid and semiarid areas. 2) The two GSA methods have impacts on the identification of sensitive parameters and the ranking of sensitive indexes; while the impact of the two measurement methods of MAE and MSE is mainly reflected in the identification of sensitive parameters. 3) The sensitive hydrological parameters are lower zone nominal storage (LZSN) and active groundwater evapotranspiration (AGWETP), and the sensitive underlying landuse types are grassland, farmland, forest and water. All have close relationships with precipitation and landuse types in the study area.
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Uncertainty Analysis of Gross Primary Productivity Estimates Based on a Light Use Efficiency Meta-Model
PENG Siyuan, FU Bo, LAI Yuqin, LI Jingyi, LI Bengang
Acta Scientiarum Naturalium Universitatis Pekinensis    2022, 58 (2): 361-371.   DOI: 10.13209/j.0479-8023.2022.003
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To investigate global and regional gross primary productivity (GPP) and its sources of uncertainties, widely used model structures of light use efficiency models are integrated to build a meta-model. Meteorological reanalysis data and remote sensing data are combined to estimate GPP, and a systematical and quantitative uncertainty analysis is conducted based on the ANOVA approach. Results show that: 1) the meta-model results correspond well with the upscaling of eddy-covariance measurements (FLUXCOM) GPP with a Pearson correlation coefficient of 0.97 and root mean square error of 24.36 gC/(m2·month) and outperforms any single combination of model structure. 2) Photosynthetically active radiation (PAR), water-related data and water regulation scalar (Ws) are the three main sources of uncertainties for global GPP estimates, contributing 41.73%, 26.79% and 23.82% respectively to total variance. 3) Sources of uncertainties of regional GPP depend on environmental conditions. For arid areas, Ws is the dominant contributor (over 80%). In cold areas, temperature regulation scalar (Ts) introduces over 40% of uncertainty. The findings not only highlight the necessity to reduce uncertainty of PAR and water-related data to reduce uncertainty in global and regional GPP estimates, but also point out the importance of improving performances of Ws and Ts algorithms under extreme environmental conditions.
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A Dynamic Graph Convolutional Network Based on Spatial-Temporal Modeling
LI Jing, LIU Yu, ZOU Lei
Acta Scientiarum Naturalium Universitatis Pekinensis    2021, 57 (4): 605-613.   DOI: 10.13209/j.0479-8023.2021.052
Abstract1676)   HTML    PDF(pc) (829KB)(508)       Save
In order to learn high-level representation with rich information for dynamic graphs where nodes and edges change dynamically, a dynamic graph convolutional network (DyGCN) is proposed to learn representation as a mixture of both spatial and temporal information. The model performs spatial convolutions to learn structural information on graphs and temporal convolutions to learn historical information along time axis. Besides, the selfadapting mechanism on the spatial convolution layer allows model parameters to update with graphs. Extensive experiments on financial networks for edge classification tasks against financial crimes show that DyGCN outperforms state-of-the-art methods.
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Multi-subband Ensemble Monte Carlo Simulation of InGaAs Schottky Barrier MOSFETs
LI Jinpei, DU Gang, LIU Lifeng, LIU Xiaoyan
Acta Scientiarum Naturalium Universitatis Pekinensis    2020, 56 (6): 996-1004.   DOI: 10.13209/j.0479-8023.2020.106
Abstract870)   HTML    PDF(pc) (2290KB)(127)       Save
With the help of a multi-subband, multi-valley ensemble Monte Carlo simulator, which takes into account of multiple scattering mechanisms present in nano-scale MOSFET channel’s two-dimensional electron gas, InGaAs Schottky barrier MOSFET is simulated. The results show that under steady state, although scattering alters its carrier density, velocity and electric potential distribution, Schottky barrier MOSFET’s output and transfer characteristic is merely impacted by scattering. When a step voltage is applied to the device’s drain contact, scattering increases the device’s peak over-shoot current and transition time. Besides, scattering also reduces the cut-off frequency, especially for short channel device.
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Spatial-temporal Change and Land Use Analysis of Beijing Urban Heat Island Based on Hourly Temperature Data
ZHOU Xiaokang, LI Jing, ZHAO Xinyi
Acta Scientiarum Naturalium Universitatis Pekinensis    2020, 56 (5): 939-949.   DOI: 10.13209/j.0479-8023.2020.068
Abstract777)   HTML    PDF(pc) (3684KB)(142)       Save
Based on the hourly meteorological datasets from Beijing, China Automatic Weather Stations in 2016, selecting Oct. 23 as the research period without the influence of precipitation and wind, we generated 24 continuous temperature surfaces through ANUSPLIN interpolation software and defined the UHI (urban heat island) using percentile method. The 24-hour moving path and distribution pattern of UHI were analyzed. The relationship was discussed between the diurnal variations of the UHI and the percentage structure of land cover in Beijing. The results show that, 1) there is a diurnal variation of UHI intensity in autumn sunny days in Beijing, and the maximum growth rate is 0.48oC/h at 18:00–23:00. 2) There are three classifications of UHI’s horizontal distribution: single-center UHI, multi-center UHI and radial UHI. 3) The proportion of six types of land use is different in the hourly UHI. In the day, there is no representative land use type in the hourly UHI, and the percentage structure of the six types of land use in the hourly UHI is different. At night, the main land use type in the hourly UHI is built-up land, and the percentage structure of the six types of land use in the hourly UHI is similar. 4) The relationship between the hourly change of UHI and land use type: from 0:00 to 3:00, the area of the hourly moving region of UHI where the proportion of six land use types did not change significantly is small; from 3:00 to 7:00, the UHI moves to the region where the proportion of built-up land decreases and the proportion of forest land increases; from 7:00 to 9:00, the UHI moves to the region where the proportion of forest land decreases and the proportion of built-up land and crop land decreases; from 9:00 to 15:00, the UHI moves to the region where the proportion of built-up land decreases and the proportion of crop land increases; from 15:00 to 19:00, the UHI returnes to the region where the proportion of built-up land increases; from 19:00 to 22:00, the proportion of six land use types in the hourly UHI’s moving region does not change significantly; from 22:00 to 23:00, the UHI moves to the area where the proportion of crop land increases and the proportion of built-up land decreases.
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Retrieval of Surface Visibility Using Satellite-Based Aerosol Measurements
ZHANG Yan, LI Jing
Acta Scientiarum Naturalium Universitatis Pekinensis    2020, 56 (2): 231-241.   DOI: 10.13209/j.0479-8023.2019.124
Abstract978)   HTML    PDF(pc) (2462KB)(415)       Save
In order to obtain the large scale spatial distribution of surface visibility, a novel technique is developed to convert satellite-retrieved aerosol optical depth (AOD) to surface visibility through aerosol scale height. Specifically, the aerosol scale height is calculated using the advanced optimal interpolation (OI) method by assimilating CALIPSO (Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations) measurements into GEOS-Chem stimulation results. The assimilated analysis field is then combined with MODIS AOD to calculate surface visibility. Validation against ground observation in China shows that best monthly correlation between collocated satellite-retrieved visibility and surface visibility data is above 0.5. Reasonable agreement is also found in seasonal and spatial variability.
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Study on Characteristics of Virtual Water Flow Spatial Change and Influencing Factors in China
DU Yihang, WANG Jun, LU Shunzi, LI Jingxian, CAI Ailing
Acta Scientiarum Naturalium Universitatis Pekinensis    2019, 55 (6): 1141-1151.   DOI: 10.13209/j.0479-8023.2019.117
Abstract1449)   HTML    PDF(pc) (2675KB)(353)       Save
Population migration and aggregation of industrial factories in the process of urbanization in China has further increased water demand in the relatively developed areas of China. The existing water transfer projects couldn’t meet the increasing demand for water resources in water-scarce areas. The calculation of virtual water based on the input-output analysis and the implementation of reasonable virtual water transfer have become new approaches to relax the demanding pressure on regional water resources. This analysis used the regional inputoutput tables of the years 1997 and 2010 and the water resources bulletins of China to build a multi-regional inputoutput calculation model of virtual water and calculate the exchange relationships and transfer volumes among virtual waters of different industries in detail. This study also analyzed the association of regional virtual water flows with inter-regional population migration and geographic transfers of industries. The results showed that there were highly correlated relationships between the characteristics of regional population migration and virtual water spatial transfer in the context of urbanization in China. The geographic transfers of industries continue to affect the volume and direction of virtual water flows. In the future, researchers should consider the relationship between physical water transfers, virtual water flows, population migration and geographic transfers of industries in the context of urbanization to ensure the supply of water resources in China.
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Analysis of Precipitation Characteristics and Its Causes in Central Yunnan City
HE Ping, LI Jinxiao, FU Yongmei, LIU Shuhua
Acta Scientiarum Naturalium Universitatis Pekinensis    2019, 55 (4): 626-634.   DOI: 10.13209/j.0479-8023.2019.040
Abstract912)   HTML    PDF(pc) (1507KB)(271)       Save
Basing on the nearly 50-year precipitation data of 4 major city (Kunming, Qujing, Yuxi, Chuxiong) in urban agglomeration of central Yunnan, this paper analyzes the variation of precipitation in annual, seasonal, and monthly time scale by using methods including the statistical analysis, the wavelet analysis, accumulative leveling method, and the grey relational analysis. The result shows that the average precipitation in past 50 years is 928.1 mm. The trend of precipitation is declining, and a mutation appears in 2009. Besides, precipitation has a dry and wet season in these region, and the wet season is between May and October but the dry season is between November and April of next year, There are more precipitation in the rainy season and less precipitation in dry season. The maximum of precipitation (184.0 mm) appears in July, but the minimum of precipitation (13.8 mm) appears in December. According to the wavelet analysis, the change of annual precipitation is about 22 years, the summer precipitation has a 19-day increase-decrease cycle with more precipitation and smaller variation, and the winter precipitation has a 20-day increase-decrease cycle with less precipitation and larger variation. The grey relational analysis show that the temperature and the specific humidity are dominant natural factors, and the population and the city size are dominant human factors. Besides, the natural factors play greater role than the artificial factors.
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Stratigraphy, Geochronology and Tectonic Signification of the Permian Volcanic-Sedimentary Rock Series in Airgin Sum Area, Inner Mongolia
WANG Shichao, XU Bei, WANG Zhiwei, ZHANG Jiaming, LI Jin
Acta Scientiarum Naturalium Universitatis Pekinensis    2019, 55 (2): 262-276.   DOI: 10.13209/j.0479-8023.2018.026
Abstract1101)   HTML    PDF(pc) (48356KB)(204)       Save

Several rift basins developed in the western part of Xing’an-Mongol orogenic belt during late Paleozoic, in which volcanic-sedimentary series is important to understand the late Paleozoic tectonic evolution, however, there is not a clear space-time distribution of the series. Stratigraphy and geochronology of Xilimiao Formation have been researched to understand the basin filling process and tectonic setting. According to the field sections, Xilimiao Formation can be divided into three segments. Upper and lower segments are composed of crystal tuffs and rhyolitic lithic crystal tuffs, and middle segment are dark sedimentary rocks. The zircon 206Pb/238U age of 282±2 Ma achieved from the rhyolitic tuff of upper segment represents the forming age. The two peak ages of 304 Ma and 450 Ma represent the upper limit of the sedimentary event, the forming age of early Paleozoic orogenic belt, respectively, and the 870 Ma represents the age of Neoproterozoic basement. The data of middle detrital rocks indicate that the forming age of Xilimiao Formation was between 304?282 Ma, older than Zhesi Formation. Provenance of the detrital zircon from the middle Xilimiao Formation provides sedimentary evidence for transform process from compress of the middle Paleozoic orogenic belt to extension of the late Paleozoic rift basin.

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Spatial Characteristics of Retail Stores in Multiple-Size of Cities in the Central Region of China
CAI Ailing, WANG Jun, LI Jingxian, DU Yihang
Acta Scientiarum Naturalium Universitatis Pekinensis    2018, 54 (5): 1114-1122.   DOI: 10.13209/j.0479-8023.2018.024
Abstract740)   HTML    PDF(pc) (4141KB)(285)       Save

Three cities (Wuhan, Xiangyang, and Yidu) were selected as samples of three typical sizes of cities (large, medium, and small) in China to study the spatial layout of retail stores. The authors analyzed the spatial characteristics of different types of retail stores and the influential factors of their spatial distributions using tools of spatial statistics, based on big data of retail stores from the Baidu map. The results show that the spatial distribution of retail stores in the large city of Wuhan shows the characteristics of multi-center and multi-layer, while Xiangyang, the medium-sized city, shows a single center layout, and Yidu, the small city, shows dispersed layout. The agglomeration levels of different types of retail stores show a sequence: integrated retail store > professional retail store > supermarket > special retail store. Population size, transportation accessibility, types of retailing, and green-space accessibility are the main factors which affect the spatial distributions of retail stores. The results can provide the scientific basis for spatial planning and optimization of retail stores in multiple sizes of cities.

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The HLBP and CHLBP Features for Pedestrian Detection
CHENG Ruzhong, ZHANG Yongjun, LI Jingjing, WANG Guopin, LEI Kai, ZHAO Yong
Acta Scientiarum Naturalium Universitatis Pekinensis    2018, 54 (5): 935-945.   DOI: 10.13209/j.0479-8023.2018.017
Abstract1102)   HTML    PDF(pc) (11351KB)(126)       Save

Two improved texture features (hybrid local binary pattern, HLBP) and (color based hybrid local binary pattern, CHLBP) which are based on gray image texture and color space are proposed for pedestrian detection. The experimental results show that, when FPPW is 10–4, the detection rate of HLBP is 93.96% which is about 3.46% and 9.68% higher than Uniform LBP and CSLBP respectively. At the same time, when combined with the HIKSVM classifier, CHLBP feature based on L′C′C′ space makes the detection rate up to 98.58%, and its detection performance has been greatly improved, by this method an good result could be obtained in pedestrian detection.

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Preparation and Optimization of a Novel Magnetic Chitosan/Sodium Alginate Composite Gel Bead
TAO Huchun, LI Shuo, ZHANG Lijuan, LI Jinbo, YANG Sai
Acta Scientiarum Naturalium Universitatis Pekinensis    2018, 54 (4): 899-906.   DOI: 10.13209/j.0479-8023.2017.186
Abstract805)   HTML    PDF(pc) (1765KB)(329)       Save

Using sodium alginate hydrogel as skeleton, in combination with chitosan and magnetic Fe3O4, a new type of magnetic chitosan/sodium alginate gel bead was prepared. On this basis, through the orthogonal experiment and single-factor experiment, the authors optimized the preparation conditions for composite gel bead, and determined the optimum one. The influences of many preparation impact factors on adsorption performance were examined. Results show that the optimal preparation conditions for the composite gel bead is as follows. Concentration of calcium chloride is 2.5 g/L, concentration of sodium alginate is 24 g/L, the amount of chitosan addition is 5 g/L, and the amount of magnetic liquid addition is 4.64 g/L. The optimal gel bead is a smooth, uniform, black ball with about 2 mm in diameter. By Fourier transform infrared spectroscopy (FTIR), synchronous thermal analysis (TGA) and other means of characterization, the adsorption mechanism is analyzed. Thermogravimetric analysis results show that the gel bead has good thermal stability. FTIR results prove that many active functional groups (amino group, hydroxyl group and carboxyl group) exist on the surface of gel bead. The adsorption performance test shows that adsorption ratio of 20mg MCSB on 40mL 25mg/L Cu2+ solution is 78.13%. The magnetic chitosan/sodium alginate gel bead is a novel simple-prepared and effective composite adsorbent.

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Training Machine Translation Quality Estimation Model Based on Pseudo Data
WU Huanqin, ZHANG Hongyang, LI Jingmei, ZHU Junguo, YANG Muyun, LI Sheng
Acta Scientiarum Naturalium Universitatis Pekinensis    2018, 54 (2): 279-285.   DOI: 10.13209/j.0479-8023.2017.158
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Aimed at providing efficient training data for neural translation quality estimation model, a pseudo data construction method for target dataset is proposed, the model is trained by two stage model training method: pre training based on pseudo data and fine tuning. The experimental design of different pseudo data scale is carried out. The experiment results show that the machine translation quality estimation model trained by the pseudo data has significantly improved in the correlation between the scores given by human and the artificial scores.

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Synthesis of PANI/VGCF Composite and Its Application in Microbial Fuel Cell
TAO Huchun, SUN Lihong, LI Jinbo, LI Jinlong
Acta Scientiarum Naturalium Universitatis Pekinensis    2016, 52 (6): 1155-1160.   DOI: 10.13209/j.0479-8023.2016.106
Abstract716)   HTML    PDF(pc) (5505KB)(590)       Save

The polyaniline/vapor grown carbon fiber (PANI/VGCF) was synthesized by in-situ polymerization, and SEM, FTIR, and TGA were used to investigate the microstructure, polymerization mechanism, and thermal stability. SEM images showed that polyaniline/vapor grown carbon fiber was at nano-scale, and the microstructure was similar with purified vapor grown carbon fiber, which indicated that the polymerization of aniline occurred on the surface of the carbon fibers. FTIR spectra gave further explanation of the composite mechanism and there was no new bond generated. The maximum power density of the microbial fuel cell with polyaniline/vapor grown carbon fiber as modification with a specific loading of 5 mg/cm2 was 299 mW/m2, which was 6.5 times higher than the unmodified microbial fuel cell. The EIS spectra fitted well to the Nyquist model and the equivalent circuit model was given. Polyaniline/vapor grown carbon fiber could be regarded as one economical and potential cathode catalyst for oxygen reduction reaction in microbial fuel cell.

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Biosorption of Silver by Magnetically Modified Surface-Engineered Saccharomyces cerevisiae Cells
TAO Huchun, CUI Xiaobing, LI Jinbo, SHI Gang
Acta Scientiarum Naturalium Universitatis Pekinensis    2016, 52 (6): 1148-1154.   DOI: 10.13209/j.0479-8023.2016.105
Abstract723)   HTML    PDF(pc) (634KB)(920)       Save

Surface-engineered yeast (Saccharomyces cerevisiae) cells were magnetically modified using water based magnetic nanoparticles to prepare a new type of magnetically responsive adsorbent. Infrared spectroscopy analysis revealed that magnetically modified cells remained the functional groups of engineered yeast and magnetic materials. The kinetic and adsorption isotherm law and factors influencing adsorption (such as time, temperature and pH) were analyzed. The results showed that adsorption equilibrium was achieved within 18 min. The optimal condition for the Ag+ adsorption was 20~30℃, pH 7.0. The pseudo-first-order kinetic model and Langmuir model fitted the adsorption data well. The results of multi-metal competitive adsorption indicated that magnetically modified cells still showed adsorption selectivity for Ag+ than other heavy metal ions. The adsorption amount of Ag+ was 10.6 times that of Ni2+, 9.0 times that of Zn2+, 7.5 times that of Co2+, 3.0 times that of Cu2+.

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MCR Based Model for Developing Land Use Ecological Security Pattern in Farming-Pastoral Zone: A Case Study of Jungar Banner, Ordos
LI Jing,MENG Jijun,MAO Xiyan
Acta Scientiarum Naturalium Universitatis Pekinensis   
Abstract1157)      PDF(pc) (2670KB)(634)       Save
The research seeks to develop a land use ecological security pattern for the Jungar Banner in Ordos, which is a typical farming-pastoral zone with great vulnerability. The spatial-temporal dynamic change of land use during the past 30 years is analyzed firstly with physical geographical information, socio-economic statistics and multi-year land use data. Then the Minimum Cumulative Resistance (MCR) model is employed to build the suitability map of curial land use forms with GIS technology. Through judging the suitability for different land use forms from one land use unit to another, regional land use ecological security pattern is developed, which provides the basis for the management. This research extends the application of MCR models as well as its result is significant for regional sustainable land use.
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Tiny Event, Big Effect: Relationships between Drivers’ Justice Perception and Drivers’ Rule-Observing Behaviors
LI Jingyu,XIE Xiaofei,GE Yu
Acta Scientiarum Naturalium Universitatis Pekinensis   
Interaction of Ambient PM10 among the Cities over the Pearl River Delta
HU Xiaoyu,LI Yunpeng,LI Jinfeng,WANG Xuesong,ZHANG Yuanhang
Acta Scientiarum Naturalium Universitatis Pekinensis   
Abstract507)            Save
The Models-3/CMAQ modeling system was applied to investigate PM10 pollution over the Pearl River Delta (PRD) region during October 2006. Sensitivity analysis was conducted to examine the relationship between the reduction of different source emissions and the consequent change of PM10 concentrations, and to quantify the interaction of air pollution among adjacent cities. The results show that PM10 pollution is a regional-scale issue in PRD. Guangzhou, Foshan, Jiangmen, and Dongguan contribute to the PM10 in PRD remarkably. The relative sensitivity coefficient was proposed to determine the impact of regional pollution sources. The PM10 concentrations in Zhuhai, Jiangmen, Zhongshan, and Foshan cities are significantly influenced by regional source emissions. The intercity transport has been the important factor of PM10 pollution in PRD. To improve the air quality in PRD area, effective control of emission sources should be highly reinforced, together with consentaneous programming, intensive collaboration, joint prevention and control.
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A Novel Method for Characterizing Acid-Base Properties of Atmospheric Particulate Matter
SUN Qian,HUO Mingqun,XIE Peng,LI Jinlong,BAI Yuhua,LIU Zhaorong,WANG Xuesong
Acta Scientiarum Naturalium Universitatis Pekinensis   
Abstract712)            Save
Six representative acid-base components are proposed to quantitatively characterize acid-base properties of particulate matter. Micro-titration and determination of water-soluble ion concentrations are applied to water-soluble particulate matter extract, then the acid-base balance principle and the principle of charge conservation are adopted to calculate the concentrations of representative components. Polynomial regression is conducted to analyze the relationship between the amounts of hydrogen ions neutralized by particulate matter of unit mass and the initial pH values of absorption solutions, and a series of empirical equations are obtained, which are applicable to estimate the change in pH derived by the particles absorbed by the precipitation with lower ion concentrations.
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Chemistry Character of Rain Water at Urban and Rural Areas in the North and Southeast of China
HUO Mingqun,SUN Qian,XIE Peng,BAI Yuhua,LI Jinlong,LIU Zhaorong,LU Sihua
Acta Scientiarum Naturalium Universitatis Pekinensis   
Abstract529)            Save
Samples for rain water were collected at four sites including Beijing city and Mazhuang Town in the north of China and Shenzhen city and Mangdang Mountain in the southeast of China. The pH values of precipitation, values of conductivity and concentrations of major water soluble ions were measured. The pH values of rainwater in Beijing City, Mazhuang Town, Shenzhen City and Mangdang Mountain were 6. 02, 5. 97, 4. 72 and 4. 81, respectively. The most abundant ions in the rainwater included SO2-4,NH+4, Ca2+ and NO-3.SO2-4 was still the major acid ion in rain and NH+4 was the most important neutralizing ion at these four sites. While the rainwater in the north of China was more severely polluted than that in the south, the acidity of the rain was greater in the south than that in the north. Enrichment factor was used to analyze the contribution from sea-water, soil and other sources to rainwater. Hysplit 4. 7 Model was used to indicate different chemical characters among different backward trajectories. The chemical characters of rainwater in Mazhuang Town were distinctly different among different trajectories and it was not significant among different trajectories in Shenzhen City and Mangdang Mountain.
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Driving Mechanism of Human Forces to Urban Ecological Water Requirementsin Bao’an, Shenzhen
MAO Xiaoling,TIAN Kun,LI Jingping,LI Tianhong,LIU Yongwei
Acta Scientiarum Naturalium Universitatis Pekinensis   
Abstract497)            Save
The interruption of human with the urban ecosystems will change the land use structure dramatically and result in deterioration of environmental quality as well as the remarkable change of ecological water requirements. Based on the case study of Bao’an, Shenzhen, this paper presents the quantitative relationship between urban ecological water requirements (UEWR) and the characteristic index for land use structure (SI). The driving mechanism of human activitiesto the land use change and UEWR is studied by Partial Least Squares Regression model. The estimation results indicate the significant negative correlation between UEWR and SI. The human driving forces can explain 50 % ~90 % of the deviation of the land use, especially more than 90 % of the urban construction area and SI. The explanation ability of the same driving forces to the ecological water requirements are 60 % ~80 %. The coefficients of the regression model represent the weight of the driving forces, among which the population is of the most important contribution. Through the same human driving mechanism, the UEWR can be explained and predicted by the simple index of SI.
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Contributions of Washout Process of Particles to Ion Concentrations in Rainwater
XIE Peng ,HUO Mingqun ,SUN Qian ,LIU Zhaorong ,BAI Yuhua ,LI Jinlong
Acta Scientiarum Naturalium Universitatis Pekinensis   
Abstract626)            Save
The authors collected and analyzed three rainwater samples in Shenzhen in April and four rainwater samples in a rural area of Taian in July, 2007. The ion species in PM2.5 and PM10 concentrations were measured to get the influence of washout process of particles on ion concentrations in rainwater. Compared to that in Taian, the rainwater in Shenzhen showed higher ion concentrations and stronger acidity. The washout process made a more important contribution to ion concentrations in rainwater in Taian than in Shenzhen, because Taian had a more serious air pollution. The washout process of particles was very important. The scavenging ratios of Ca2+ and Mg2+ in PM2+ were high for Ca2+, Mg2+ mostly existed in coarse particles. NO-3, NH+4, Cl- and K+ mainly existed in fine particles and had smaller scavenging ratios. SO2 and H2SO4 contributed a lot to the concentration of SO2-4 in rainwater and therefore SO2-4 had a high scavenging ratio.
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Driving Mechanism of Human Forces to Urban Ecological Water Requirementsin Bao’an, Shenzhen
MAO Xiaoling,TIAN Kun,LI Jingping,LI Tianhong,LIU Yongwei
Acta Scientiarum Naturalium Universitatis Pekinensis   
Abstract463)            Save
The interruption of human with the urban ecosystems will change the land use structure dramatically and result in deterioration of environmental quality as well as the remarkable change of ecological water requirements. Based on the case study of Bao’an, Shenzhen, this paper presents the quantitative relationship between urban ecological water requirements (UEWR) and the characteristic index for land use structure (SI). The driving mechanism of human activitiesto the land use change and UEWR is studied by Partial Least Squares Regression model. The estimation results indicate the significant negative correlation between UEWR and SI. The human driving forces can explain 50 % ~90 % of the deviation of the land use, especially more than 90 % of the urban construction area and SI. The explanation ability of the same driving forces to the ecological water requirements are 60 % ~80 %. The coefficients of the regression model represent the weight of the driving forces, among which the population is of the most important contribution. Through the same human driving mechanism, the UEWR can be explained and predicted by the simple index of SI.
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H2S Gas Removal in the Biotrickling Filter with a Macroporous Carrier
LI Jing,NI Jinren,JI Guodong
Acta Scientiarum Naturalium Universitatis Pekinensis   
Abstract534)            Save
A kind of macroporous carriers was used to immobilize acclimated activated sludge in a biotrickling filter for removing hydrogen sulfide (H2S). The experiments on removal of H2S had been carried out in the reactor system for about one year. The period of start up could be divided into four stages, including pre bubbling, selective culture, immobilization and direct H2S culture. It needed only 18 days to start up the system and to operate steadily. The optimum pH, rate of spray nutrient and empty bed residence time were 2.16, 70 mL/min and 25 s, respectively. When the removal efficiency of H2S was 100%, the maximum influent load of the biotrickling filter (114 gH2S/(m3carriers?h)) was five times that of the plastic pall rings biotrickling filter. The main metabolism end products were sulphate while the by products were whitish yellow sulphur suspensions. Close correlation was found among pH, oxidation reduction potential (ORP) and concentration of sulfate.
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Experimental Study on Effects of Viscosity and Salinity of Liquid on Rock Velocity Anisotropy
LI Jinchen,SHI Ge,CHEN Siyuan
Acta Scientiarum Naturalium Universitatis Pekinensis   
Abstract675)            Save
Changes of the longitudinal and transversal wave velocities in different directions and the rock velocity anisotropy as a function of confining pressure have been studied under laboratory ultrasonic frequency for shale and sandstone with marked foliation, which had been saturated by the fluids with different viscosity ( kerosene and vacuum pump oil) and salinity (distilled water, 50000μg/L and 150000μg/L NaCl liquid) respectively. The results show that (1) the longitudinal and transversal wave velocities in different directions increase with the increase of viscosity, while the parameters of rock velocity anisotropy ε, γ are contrary to this; (2) the longitudinal and transversal wave velocities in different directions increase with the increase of salinity, while changes of the parameters of rock velocity anisotropy ε, γ can be ignored within the error of the experiment.
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A Numerical Simulation Study of PM10 Pollution in Beijing during Summer Time
WANG Xuesong,LI Jinlong
Acta Scientiarum Naturalium Universitatis Pekinensis   
Abstract614)            Save
A 3-D Eulerian regional air quality model, CAMx, is used to simulate the temporal variation and spatial distribution of PM10 in Beijing during summertime. The results show the prominent temporal and spatial variation characters of PM10. PM10 diurnal variation shows peaks around midnight and in the morning, an increasing trend around noon in urban areas because of the secondary aerosol production from photochemical reactions, a lowest concentration in early evening. The spatial distribution of PM10 has close relation to the source emission and is affected by the secondary aerosol production from photochemical reactions around noon. The secondary aerosol is an important portion of PM10. The secondary aerosol plays a main role on the concentration variation of sulfate and nitrate, while the concentration level and variation of organic carbon aerosol and PM10 is determined mainly by the primary aerosol.
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Progress in Burnout Research
LI Jing
Acta Scientiarum Naturalium Universitatis Pekinensis   
Abstract644)            Save
The conceptualization, measurement, causes, and intervention of burnout are reviewed; a great number of research results are introduced; some research directions in this field are discussed.
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A Case Study of Ozone Source Apportionment in Beijing
WANG Xuesong,LI Jinlong
Acta Scientiarum Naturalium Universitatis Pekinensis   
Abstract643)            Save
The Comprehensive Air Quality Model with extensions (CAMx), a 3-D Eulerian regional air quality model, was used to simulate the tropospheric photochemical pollution in Beijing and Tianjin areas. Ozone Source Apportionment Technology (OSAT) was applied to track the contributions of multiple source areas and source categories to ozone formation in Beijing. The results showed that the source emissions in the urban and suburban areas of Beijing contributed much to ozone formation in local and downwind areas; among all the source categories, mobile source contributed most to ozone formation, followed by the pollutants from oil products and organic solvents and those emitted by industrial source, while biogenic source and other anthropogenic area source contributed less in Beijing. The results also showed that the ozone episode in Beijing area was regional in extent, meteorological fields and pollutant emissions were important impact factors to ozone formation and distribution.
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Design Issues of An IP Wavelength Router
LI Jingcong,LI Zhengbin,WU Deming,XU Anshi
Acta Scientiarum Naturalium Universitatis Pekinensis   
Abstract601)            Save
The network architecture where each node integrates an IP router and an OXC is an attractive paradigm for the next generation optical Internet. IP wavelength routing, which includes two types of switching and forwarding hierarchies (packet and lambda) in the GMPLS field, is based on this kind of architecture. This paper addresses the design issues of an IP wavelength router. Based on analyzing the problems and shortcomings of the previous general node structure, a novel node structure is proposed, which overcomes the problems encountered by the previous scheme. Two IP switching protocols, IFMP and GSMP, are extended to support IP wavelength routing networks. The flow classifiers, which are main components of these node structures, and the performance metrics of these structures, are also discussed.
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