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Lake Sedimentation Rate and Its Influencing Factors in Jiuzhaigou World Natural Heritage Site
SHEN Xiaoxue, TANG Lili, DU Jie, JIANG Xianchenghao, QIU Guoyu, LI Ruili
Acta Scientiarum Naturalium Universitatis Pekinensis    2023, 59 (6): 951-960.   DOI: 10.13209/j.0479-8023.2023.068
Abstract125)   HTML    PDF(pc) (10822KB)(53)       Save
After the “8.8” earthquake (June 2020), Arrow Bamboo Lake and Rhino Lake, with different input degrees of earthquake damage sources, were selected to analyze the lake sedimentation rates by isotope dating method. Moreover, vertical distribution characteristics of grain size composition, total carbon (TC), total nitrogen (TN), total phosphorus (TP), and carbonate content were analyzed. By analyzing the vertical variation characteristics of sediment environmental indicators and their relationship with natural disasters and human activities, the long-term and short-term factors affecting lake sedimentation were explored. The results showed that the sedimentation rates of the Arrow Bamboo Lake and Rhino Lake from 1900 to 2020 were about 0.32 and 0.44 cm/a, respectively. The vertical distribution characteristics of the environmental indicators on the surface (0–10 cm) were as follows: the specific activity of 210Pbex significantly increased, the sediment particle size was relatively large, TC, TN and calcium carbonate were enriched, and the vertical variation was violent. Meanwhile, the disturbance depth of surface sediment in the Arrow Bamboo Lake, which was obviously affected by seismic damage sources, was greater. These revealed that a large number of loose material sources of land disasters caused by the “8.8” earthquake entered the lake, rapidly intensifying the lake sediment deposition in the short time. The deep vertical distribution features recorded the long-term slow impact of human activities such as deforestation, unreasonable discharge and environmental protection on lake sediment.
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Simulation of Urban Evapotranspiration Considering Vegetation Coverage
CHEN Zhi, HUANG Ying, DING Jinshan, SHI Zhe, QIU Guoyu, YAN Chunhua
Acta Scientiarum Naturalium Universitatis Pekinensis    2022, 58 (6): 1130-1140.   DOI: 10.13209/j.0479-8023.2022.097
Abstract367)   HTML    PDF(pc) (9819KB)(150)       Save
Based on half-hourly data collected from eddy covariance systems, an urban evapotranspiration estimation model was built using random forest model, which introduced the source area information-vegetation coverage as input variables. Vegetation coverage were obtained by combining footprint modeling and land remote sensing data. The simulation results were used to fill the missing values and explore the major control factors of the evapotranspiration during both dry and wet seasons in Shenzhen, China. The results show that compared with the traditional RF and MDS model, urban evapotranspiration could be simulated with better accuracy considering vegetation coverage, R2=0.73, RMSE=20.5 W/m2, MAE=13.3 W/m2, pbias=0.8%. For the estimation of relatively high evapotranspiration in wet seasons, RF performs significantly better than MDS model. MDS model under-estimates by 12.4% while RF only by 4.7%. During wet seasons of Shenzhen, vegetation coverage is the major control factor of evapotranspiration. In dry seasons, temperature, net radiation, saturated water vapor pressure deficit are the major control factors.
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Study on Characteristics of Transpiration, Cooling Effect and Carbon-Reduction Effect of Ficus concinna, a Native Tree Species in Subtropical Cities
DING Junjie, QIN Longjun, TAN Shenglin, YU Xiaohui, ZOU Zhendong, QIU Guoyu, YAN Chunhua
Acta Scientiarum Naturalium Universitatis Pekinensis    2022, 58 (3): 537-545.   DOI: 10.13209/j.0479-8023.2022.040
Abstract419)   HTML    PDF(pc) (1427KB)(116)       Save
Based on the transpiration transfer coefficient (hat), the cooling potential of several typical subtropical urban vegetations was evaluated. A Ficus concinna was continuously observed to quantitatively study its characteristics of transpiration, cooling effect and carbon-reduction effect. The results showed that 1) among several typical vegetations in the study area, Ficus concinna, as a native tree species, showed the strongest cooling potential in the same environment. 2) The average daily transpiration volume of Ficus concinna was 32.48 kg per tree, which was generally high in summer and autumn and low in spring and winter. At the same time, Ficus concinna could effectively alleviate the heat island effect, especially at night in summer when the heat island effect was severe, its cooling effect made the observation area no heat island state for 86% of the time. 3) The annual carbon emission reduction from the cooling effect of individual Ficus concinna reached 1442.1 kg.
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Correlation Study of Tourist Respiration with Travertine Landscape Degradation in Jiuzhaigou
QIU Guoyu, XIANG Jiao, YAN Chunhua, QIN Longjun, MAO Peng, XIONG Bowen, LI Ruili, TANG Ya, DU Jie, QIAO Xue, SHEN Xiaoxue, SHI Cong, JIANG Xianchenghao, CHEN Zhi, SHI Zhe, HUANG Ying, DING Junjie
Acta Scientiarum Naturalium Universitatis Pekinensis    2022, 58 (2): 291-296.   DOI: 10.13209/j.0479-8023.2021.125
Abstract559)   HTML    PDF(pc) (22584KB)(139)       Save
With the continuous increase of global CO2 emission, the CO2 emission of tourists leads to an increase rate of atmospheric CO2 around popular scenic spots which is much higher than global average. Based on the eddy covariance system, long-term monitoring of CO2 concentration was conducted in Rhino Lake, Shuzheng Village, Jiuzhaigou World Heritage. Combined with the annual runoff and the rate of travertine loss (CaCO3) based on CO2 concentration, the annual amount of travertine loss in Jiuzhaigou World Heritage Site was estimated to explore the mechanism of travertine degradation. The research finds that the breath of tourists can increase the local atmospheric CO2 concentration by 250–300 μL/L, which can increase travertine loss rate by 18%–21%. Increase in CO2 caused by the breath of tourists is the main reason leading to the degradation and disappearance of the world heritage travertine. CO2 emission of tourists is indeed destroying the world heritage.
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Experimental Study of the Influence of Water Temperature on Pan Evaporation
GAO Huihui, CHEN Zhi, SHI Zhe, YAN Chunhua, WANG Bei, ZOU Zhendong, QIU Guoyu
Acta Scientiarum Naturalium Universitatis Pekinensis    2022, 58 (1): 147-156.   DOI: 10.13209/j.0479-8023.2021.093
Abstract615)   HTML    PDF(pc) (8938KB)(114)       Save
Based on a pair of black and white standard A-type evaporation pans set under the same meteorological conditions, the dynamic characteristics of meteorological elements, water temperature and evaporation of the two pans were observed. The influence of water temperature on the evaporation of the evaporation pan was explored based on the existing 6 evaporation models. The results showed that 1) the designed observation method can be used to study the effect of water temperature on the pan evaporation. The water temperature and evaporation rate between the two pans were significantly different. During the 50-day observation period, the average water temperature difference between the two pans was 0.4°C, and the average daily evaporation difference was 1.1 mm/d. 2) 1°C increase in water temperature difference between black and white pans will produce an evaporation difference of 0.808 mm/d under the same conditions of solar radiation and other meteorological elements. 3) Under the condition of rising water temperature, the estimated value of the classical evaporation model without considering the water temperature would be smaller than the actual observed value, and the error of the estimation will also increase correspondingly.
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Study on Characteristics of Three-Dimensional Cool Island Effect and Evapotranspiration Contribution of Individual Urban Tree
WEN Haiyan, YAN Chunhua, GAO Huihui, CHEN Zhi, HUANG Wanbin, QIU Guoyu
Acta Scientiarum Naturalium Universitatis Pekinensis    2021, 57 (5): 975-982.   DOI: 10.13209/j.0479-8023.2021.077
Abstract672)   HTML    PDF(pc) (10595KB)(211)       Save
Through three-dimensional observation and numerical analysis of evapotranspiration characteristics and cool island response of individual urban trees, the cause of vegetation cold island effect was analyzed quantitatively. The results show that 1) the absolute value of cool island intensity in various parts of Ficus microcarpa was basically above 3.0°C, while at surface front (SF), the temperature difference could reach the maximum of ?5.19°C and surface top (ST) can reach to ?3.57°C. 2) The evapotranspiration rate of leaves in the east, SF and SR (surface right), was start to rise firstly, and the leaves in the west, SL (surface left) and SBa (surface back), have the highest evapotranspiration rate at noon while the leaves in the west (SL, SBa) reached the peak later. The transpiration of all parts at night was very weak, less 0.05 mm/h. 3) The overall cool island effect intensity were positively correlated with evapotranspiration rate (pearson correlation coefficient was 0.70, with a significance lower than 0.01). For every 1 mm/h increase in evapotranspiration, the temperature of the whole tree decreased by 3.56°C. Evapotranspiration of surface top contribute obviously to the cool island effect of surface top itself with a correlation coefficient ?0.61. Evapotranspiration of surface top, surface front and surface right have the largest contribution to cool island effect of the whole tree (correlation coefficient absolute value is greater than 0.60). Contribution order of different parts’ evapotranspiration to overall cool island effect is: SF>ST>SR>SL> SBa>SBo (surface bottom), that means east and top side>west side>bottom.
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Simulation of Sub-Daily Transpiration Characteristics of Typical Arbor Trees in Cities Based on Deep Neural Network
ZHAO Wenli, QIU Guoyu, XIONG Yujiu, ZOU Zhendong, YAN Chunhua, YU Leiyu, HAO Mengyu
Acta Scientiarum Naturalium Universitatis Pekinensis    2021, 57 (2): 322-332.   DOI: 10.13209/j.0479-8023.2020.121
Abstract653)   HTML    PDF(pc) (5358KB)(171)       Save
Based on the sap flow system and synchronous meteorological observation data of the typical arbor tree in the city, a transpiration estimation model for urban arbor tree was built using deep neural network. The simulation results can systematically figure out the environmental controlling factors that affect the transpiration of Ficus microcarpa in the dry or wet seasons as well as day or night. Based on the routine meteorological observation data from 91 meteorological observation stations in Shenzhen, the trained deep neural network was used to estimate the station-scale hourly transpiration characteristics of typical arbor trees in Shenzhen. The results show that 1) compared with the measured data of the sap flow system, the deep neural network can accurately simulate the transpiration change of the Ficus microcarpa at 10-minute intervals with a R2 of 0.91, MAPE of 21.77%, RMSE of 0.02 mm/h. 2) The main controlling factors of urban Ficus microcarpa during the wet and dry seasons are solar radiation and air temperature in the daytime, while at night is saturated water vapor pressure deficit. 3) Urban Ficus microcarpa still has transpiration at night, and average value can be 0.03 mm/h and 0.01 mm/h in dry season and wet season, respectively. 4) There are differences among vegetation transpiration in different areas of Shenzhen, with a maximum difference of 0.10 mm/h. In general, the transpiration during the dry season is higher than that during the wet season, and the vegetation transpiration at most sites are close to 0 at night. For some specific sites, the average transpiration at night can reach 0.07 mm/h in dry season, and can reach 0.10 mm/h in the wet season. 
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Impact of Environmental Regulation on Industy Green Total Factor Productivity: Mediating Effect of Short-term Liquidity
LIU Jinhui, ZOU Zhendong, QIU Guoyu
Acta Scientiarum Naturalium Universitatis Pekinensis    2021, 57 (1): 189-198.   DOI: 10.13209/j.0479-8023.2020.122
Abstract784)   HTML    PDF(pc) (752KB)(156)       Save
Based on system-generalized method of moments (SYS-GMM), this paper analyzes the influence of environmental regulation on the GTFP (green total factor productivity) of 37 industries in China during the period of 2003–2015 by mearsuring the intermediate effect of liquidity ratio. The result shows that the compound annual growth rate (CAGR) of GTFP among all industries was 6.8%. Technical development was the main contributor ameliorating GTFP. GTFP of industries above designated size goes upward and then downward in accordance with the stringency of environmental regulation. Short-term liquidity plays a role as intermediate variable, since it drops as environmental regulation gets sticter, which leads to a rise in GTFP of industries. When environmental regulation gets too strict for enterprises to comply with, their short-term liquidity ratio decreases significantly, which brings financial risks and leads to a reduction of GTFP. These conclusions are of great significance for government and enterprises to enact and comply with environmental and development strategies.
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Impact of Model Structure and Parameterization Differences on Evapotranspiration Estimation
ZHAO Wenli, XIONG Yujiu, QIU Guoyu, YAN Chunhua, ZOU Zhendong, QIN Longjun
Acta Scientiarum Naturalium Universitatis Pekinensis    2021, 57 (1): 162-172.   DOI: 10.13209/j.0479-8023.2020.119
Abstract957)   HTML    PDF(pc) (4836KB)(153)       Save
Based on the HiWATER high-density eddy covariance (EC) tower observations in Heihe Oasis in 2012, the impact of model structure differences (comparison between one-source Penman-Monteith / PM equation and two-source PM equation, or comparison between two-source PM equation and two-source three-temperature model) and parameterization differences on the evapotranspiration estimation were evaluated. The results show that, 1) compared with the two-source PM equation with a relatively complex model structure, the mean absolute percent error (MAPE) estimated by the one-source PM equation is 34%, which is more accurate than that by the two-source PM equation (40%); 2) for two kinds of two-source model with significant differences in model structure, the three-temperature model without resistance parameters has higher estimation accuracy than the PM-based equation with resistance parameters. The former has a MAPE of 18% (R2=0.85), while the PM-based equation has that of 40% (R2=0.34); 3) two one-source and one two-source resistance parameterization methods lead to different evapotranspiration estimation accuracy for the PM-based equation, with a MAPE difference of up to 6%; 4) using prior knowledge / dataset to calibrate resistance parameterization can significantly improve the estimation accuracy of one-source PM equation (MAPE can be reduced by 22%), but as model structure and parameterization complexity increase, two-source PM equation hasn’t been improved significantly after resistance parameterization calibration (MAPE is only reduced by 0.8%).
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Water Budget Characteristics of Over-Irrigated Oasis in Arid Region of Northwest China
WANG Bei, YAN Chunhua, WANG Yue, LI Cheng, ZHANG Qingtao, QIU Guoyu
Acta Scientiarum Naturalium Universitatis Pekinensis    2020, 56 (6): 1122-1128.   DOI: 10.13209/j.0479-8023.2020.103
Abstract828)   HTML    PDF(pc) (6551KB)(188)       Save
Based on the water balance equation, a field experiment was carried out to observe the dynamic characteristic of volumetric soil water content during growing season of 2012 and to explore the impact of irrigation on the oasis water budget. The results showed that in the Zhangye oasis, the volumetric soil water content at the depth of 40–60 cm was higher than that at the depth of 0–20 cm during days without precipitation and irrigation. Heavy precipitation has an obvious impact on the volumetric soil water content at the depth of 0–20 cm while irrigation has an obvious impact at the depth of 0–100 cm. The daily evapotranspiration (ET) was 2.83 mm/d during days without precipitation and irrigation. The ET volume of the third day after precipitation increased by 16% compared to the ET volume before precipitation. The ET rate of the second day after irrigation was observed with an increase of 88% compared to the ET rate before irrigation, indicating that the impact of irrigation on ET was more significant than that of precipitation. The primary incomings of the water budget in the oasis was irrigation, which accounted for 89.7% of the total incomings. The main outgoings of the water budget in the oasis was deep percolation (DP), which accounted for 81% of the total outgoings. The irrigation water requirement was only 213 mm during the growing season of 2012, but the real irrigation volume exceeded the irrigation water requirement by 474 mm. Excessive deep percolation and serious water wastage was obvious during growing season due to the heavy irrigation.
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Characteristics of Nighttime Sap Flow and Its Partition in a Mixed Forest in Jiuzhaigou Valley
YAN Chunhua, WANG Bei, ZOU Zhendong, YU Leiyu, HUANG Wanbin, QIU Guoyu
Acta Scientiarum Naturalium Universitatis Pekinensis    2020, 56 (4): 732-738.   DOI: 10.13209/j.0479-8023.2020.042
Abstract1053)   HTML    PDF(pc) (1077KB)(208)       Save
To investigate the characteristics of nighttime sap flow and its partition into nocturnal water refilling and transpiration, the Granier-type thermal dissipation probes were used to measure sap flux density in 2013 in three main species of a mixed forest in Jiuzhaigou Valley. The results showed that the ratio of nighttime sap flow to daily value mainly ranged from 0 to 30% for Betula albosinensis Burk. and Acer ginnala Maxim., from 0 to 25% for Pinus tabulaeformis Carr., and might excess 40% in some special occasions. It showed a “U-shaped” seasonal variation, with lower ratios in the mid-growing season and higher ratios in the early and late growing season. There was a significant linear relationship between nighttime sap flow and vapor pressure deficit during a clear day, indicating the occurrence of nocturnal transpiration along with refilling. The ratios of nocturnal water refilling and transpiration to the total nighttime sap flow were 80.7% and 19.3%, 81.4% and 18.6%, 63.9% and 36.1%, respectively for the three tree species.
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A Case Study on the Relationship Between Urbanization Level and Water Use Efficiency in the Pearl River Delta Urban Agglomeration
ZENG Hui, YAN Chunhua, HUANG Wanbin, LIN Qianyun, YU Leiyu, QIU Guoyu
Acta Scientiarum Naturalium Universitatis Pekinensis    2020, 56 (3): 561-570.   DOI: 10.13209/j.0479-8023.2020.032
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 This study evaluates comprehensive urban development level based on the data of population change, economic optimization, social development, and water use between 2005 and 2017 in the Pearl River Delta Urban. Then an improved water footprint calculation method is used to analyze water use efficiency and urbanization level, whose relationship is quantified and verified. The study found that: 1) regarding urbanization level, the Pearl River Delta Urban Agglomeration can be divided into four grades, of which Guangzhou and Shenzhen are at a high level; 2) using water footprint calculation method, the total of the agglomeration in 2016 is 58.58 billion m3, which is significantly higher than the claimed 28.99 billion m3 in <2016 Guangdong Water Resources Bulletin>; 3) at different urbanization stages, the trend of the total water footprint varies, each showing a unique characteristics; 4) with a continuous urbanization, water use efficiency will continue to increase.
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Soil Temperature Triggers Sap Flow Onset and Offset of Pinus tabulaeformis
WANG Yue, YAN Chunhua, QIU Guoyu
Acta Scientiarum Naturalium Universitatis Pekinensis    2019, 55 (3): 580-586.   DOI: 10.13209/j.0479-8023.2019.028
Abstract814)   HTML    PDF(pc) (2706KB)(145)       Save
TDP (thermal dissipation probe) technology was used for continuous observation and preliminary study of the secondary dominant tree species Pinus tabulaeformis in Jiuzhai Valley. A temperature sensor was used to collect soil temperature gradients from 2013 to 2015 with 6 depth gradients at 3, 10, 20, 30, 40, and 50 cm below the tree. The analysis showed that the temperature of surface soil in the shallow 3 cm soil layer in early spring had a stronger influence on the sap flow intensity than the deep soil temperature and air temperature (correlation coefficient was 0.852). The temperature gradient analysis reported that the optimum temperature for the root system was 4.0–7.9°C. With the increase of soil temperature, the characteristics of sap flow initiated by Pinus tabulaeformis in March and April would exacerbate the decrease of early spring runoff in Jiuzhai Valley. 
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Analysis of Water Resources and Energy Security in Shenzhen Based on Factor Analysis Method
CAO Ye, ZOU Zhendong, CHEN Wenlei, ZHUO Jinxin, QIU Guoyu
Acta Scientiarum Naturalium Universitatis Pekinensis    2018, 54 (6): 1346-1350.   DOI: 10.13209/j.0479-8023.2018.087
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The factor analysis of water resources and energy security in Shenzhen in 1996–2015 was carried out. Economic and average factor (f1), population and elasticity factor (f2) are two main factors. f1 shows the threat of supporting the city’s normal operation to water resources and energy security, with a weight of 68%. f2 shows the uncertainty brought about by the increments of economic and population to water energy system safety, with a weight of 32%. The composite score shows that the total water energy system safety in Shenzhen tends to decline. This conclusion accords with the actual situation of water energy system in Shenzhen municipality. It shows that the evaluation model is effective for the analysis of water energy security situation in Shenzhen, and can provide reference for the decision-making of Shenzhen municipality.

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Treatment and Reuse of Highly Concentrated Cutting Fluid Wastewater by Decompression-Dehydration-Drying System
FAN Yi, ZOU Zhendong, LI Ruili, WU Xiaofang, QIU Guoyu, NAKAMURA Kazuhiko, GAO Jian
Acta Scientiarum Naturalium Universitatis Pekinensis    2018, 54 (6): 1267-1275.   DOI: 10.13209/j.0479-8023.2018.069
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A decompression-dehydration-drying system was designed and improved to deal with cutting fluid wastewater produced during metal processing. The results show that the removal rate of total suspended solids is more than 99.38%, and the average removal rates of n-HEX, BOD5, CODMn, total nitrogen, total phosphorus, copper and zinc are 99.07%, 96.67%, 98.64%, 81.28%, 99.33%, 98.69% and 99.79% respectively. Combined with ozone treatment it can further improve the removal rate of organic pollutants. Compared with other treatment methods, during the process of sewage treatment, the proposed system produces very little smell and noises, and do not need a large number of chemical agents, and has a small footprint and low cost. It is especially fit for the treatment of highly concentrated cutting fluid wastewater.

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Economic and Environmental Analysis of Household Photovoltaic System: Taking 5 kW Photovoltaic System in Jiangxi Province as an Example
WEN Zekun, QIU Guoyu
Acta Scientiarum Naturalium Universitatis Pekinensis    2018, 54 (2): 443-450.   DOI: 10.13209/j.0479-8023.2017.076
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Based on the survey of household photovoltaic demonstration project in Xinyu City of Jiangxi Province, stable investment recovery period and internal rate of return (IRR) are applied as the economic evaluation index, the energy recovery period and annual savings of standard coal as the environmental benefit evaluation index, the generation power, revenue composition and economic benefits under different circumstances, environmental benefits of 5 kW household photovoltaic system were analyzed. The results show that the yearly power generation of 5 kW household photovoltaic system is 4056.7 kWh, only 79% of the theoretical value. The system has a good economic benefit with the subsidies from the state and Jiangxi Province. The stable investment recovery period is less than 8 years, and the internal rate of return is 11.2%. Lack of subsidies from the state or Jiangxi would have a large impact on the economic benefits of investments. The photovoltaic system also has a good environmental benefit, saving 1.46 tons of standard coal each year, and the energy payback period is 5.22 years. The development of household photovoltaic needs support of national policy and appropriate promotion model.

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Characteristics of Water Quality Changes in the Futian Mangrove National Natural Reserve
NIU Zhiyuan, SHEN Xiaoxue, CHAI Minwei, XU Hualin, LI Ruili, QIU Guoyu
Acta Scientiarum Naturalium Universitatis Pekinensis    2018, 54 (1): 137-145.   DOI: 10.13209/j.0479-8023.2017.138
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The research monitored the water quality regularly and analyzed its spatial and temporal changes from 2014 to 2015 in the Futian Mangrove National Nature Reserve. Based on the water quality monitoring results from 2009 to 2014, the annual variation trend of water quality was also studied. The results showed that the DO was generally lower, and the average concentrations of TN, TP, COD and BOD, were 4, 2.6, 1.3 and 1.3 times higher than the class V standards of surface water respectively, the water was in heavy eutrophication status. The pollution level in dry season was significantly higher than in rainy season. From 2009 to 2014, the average concentrations of TN and TP showed a trend of decreasing firstly and then increasing, the BOD values kept rising and the COD values kept falling. Instead of heavy metals pollution, it was the organic pollution, mainly coming from the exogenous input, which have been the key problem of the water pollution, and it needs to take measures to control the pollution immediately.

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