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主办单位:中国气象局沈阳大气环境研究所
国际刊号:ISSN 1673-503X
国内刊号:CN 21-1531/P

Table of Content

    28 February 2020, Volume 36 Issue 1 Previous Issue    Next Issue
    Formation of an extreme rainstorm in different regions of Liaoning province affected by typhoon "Haitang" in 2017
    Lei YANG, Li SUN, Dong-dong WANG, Chuan-lei CHEN, Ying WANG, Kui-zhi CAI, Yue ZHANG
    2020, 36 (1):  1-10.  doi: 10.3969/j.issn.1673-503X.2020.01.001
    Abstract ( 517 )   HTML ( 188 )   PDF (10726KB) ( 134 )   Save

    We analyzed the formation of an extreme rainstorm event over the Chaoyang area in the western region of Liaoning province and the Xiuyan County in the Southeastern Peninsula, caused by the typhoon "Haitang" in 2017, mainly using the conventional observation data, Final (FNL) reanalysis data from National Center of Environment Prediction (NCEP), Himawari-8 satellite data, Precipitable Water Vapor (PWV) retrieved from Global Navigation Satellite Systems (GNSS), and real-time products in smart grids.The results indicated that regional extreme heavy rainstorms occur in both of the western regions of Liaoning province and the Southeastern Peninsula.The Xiuyan County has larger hourly precipitation, with the maximum precipitation reaching 113 mm per hour, which shows obvious characteristics of convective precipitation.The rainstorm processes in both regions are influenced by systems from the tropical and subtropical zones and the westerlies.Typhoon "Haitang", showing a long and narrow shape, gradually moves northward along the western side of the Subtropical High, and interacts with a short wave trough of the westerlies, which results in the heavy precipitation in the western region of Liaoning province.Subsequently, dry cold air behind the strengthened vortex system interacts with warm and moist air in the low altitudes, leading to the extreme rainstorm event in Xiuyan County.Tropical typhoon "Aolu" blocks the retreat of the Subtropical High.Both regions have water vapor channels from the South China Sea, and the Southeastern Peninsula is also affected by the water vapor transport from the northern side of Typhoon "Aolu".The PWV in Chaoyang and Xiuyan almost reaches 65 mm and 70 mm in a long time period, respectively, and the maximum anomaly index is approximately 3.0 and 2.5, indicating the extreme condition for water vapor loading in the atmosphere during this rainstorm process.The dynamic instability is stronger in the western region of Liaoning province during the precipitation period.The convergence layer extends from the ground up to 500 hPa.The "upper dry and lower wet" distribution of water vapor in the Southeastern Peninsula and the stronger convergence of cold and warm air are more favorable to forming the convective precipitation.Multi-mesoscale clouds also affect the precipitation processes in both regions.The precipitation in Chaoyang County is caused by cumulus triggered by a meso-γ-scale convergence line during the early period, thereafter, the continuous heavy precipitation is related to the cold-front cloud system and the warm-front cloud system that is due to the interaction between the northward-moving typhoon and dry, cold air behind an upper trough.The intruding of dry air in the rear of the strengthened vortex into the transport belt of warm and wet water vapor is combined with a stable convergence line over the Xiuyan mountain area, which makes cumulus trigger continuously and directly affect the Xiuyan County and results in the extreme convective rainstorm in this region.

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    Spatiotemporal characteristics of aerosols and its effects on cloud and precipitation during summer over typical regions in China
    Xing-xing GAO, Hai-lin GUI, Yan CHEN, Lei ZHANG, Wu ZHANG
    2020, 36 (1):  11-20.  doi: 10.3969/j.issn.1673-503X.2020.01.002
    Abstract ( 369 )   HTML ( 155 )   PDF (3245KB) ( 130 )   Save

    Based on the aerosol and cloud data from the Moderate-resolution Imaging Spectroradiometer (MODIS) satellite, and the precipitation data from the Tropical Rainfall Measuring Mission (TRMM) in summer from 2006 to 2016, we analyzed the spatiotemporal characteristics of aerosols, cloud, and precipitation over eight typical regions in China, and we examined the interaction between aerosols and cloud and precipitation.The results indicated that the values of summertime averaged Aerosol Optical Depth (AOD) and cloud optical properties vary in the following ranges:AOD in 0.21-1.05, Cloud Optical Depth (COD) in 15.01-24.02, Cloud Water Path (CWP) in 151.98-219.20 g·m-2, Cloud Effective Radius of Water (CERW) in 12.93-15.37 μm, Cloud Effective Radius of Ice (CERI) in 28.85-39.14 μm, and precipitation in 0.44-8.54 mm·d-1, respectively.The AODs have a significant decreasing trend over the Loess Plateau and Sichuan Basin, with an annual declining trend of -2.30% and -3.20%, respectively.The COD over the Yangtze River Delta increases by 29.11%.The variation of CERI is -21.60% over the North China Plain, -15.77% in the Yangtze River Delta, -18.94% in the Pearl River Delta, respectively, and the CERW over the Taklimakan Desert varies in about -10.30%.AOD has a positive correlation with CWP and COD and a complex relationship with Cloud Effective Radius (CER), which is largely affected by water vapor.Under the low CWP conditions, AOD exhibits a negative (positive) correlation with CERI (CERW), but an opposite correlation occurs under the high CWP conditions.The relationship between aerosols and precipitation is also complex.Overall, aerosols promote summertime precipitation in China.

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    Relationship between atmospheric visibility and particulate matter concentration and meteorological parameters in Guilin urban area
    Feng-xiang LONG, Yu-lin ZHANG
    2020, 36 (1):  21-27.  doi: 10.3969/j.issn.1673-503X.2020.01.003
    Abstract ( 242 )   HTML ( 156 )   PDF (831KB) ( 138 )   Save

    The relationships between atmospheric visibility and particulate matter (PM) concentrations and meteorological parameters in the urban area of Guilin city were analyzed using the meteorological observation data (including visibility, wind speed, relative humanity, air temperature, air pressure, rainfall, etc) and particulate matter (PM10, PM2.5, and PM1.0) mass concentrations observed at the Guilin National Basic Meteorological Station from January 2015 to June 2017.The results indicated that there is a logarithmic function relationship between atmospheric visibility and PM10, PM2.5, and PM1.0, with the correlation coefficients of -0.341, -0.461 and -0.509, respectively.The effect of PM on visibility is most remarkable when relative humidity varied between 60% and 70%.Atmospheric visibility has the largest correlation with wind speed in a quadratic function relationship, followed by relative humidity in a power-law relationship.Visibility has a small correlation with air temperature, and a positive correlation with air pressure in autumn and winter, with a correlation coefficient of 0.301 in winter, but such correlation is poor in spring and summer.We establish eight non-linear statistical regression models to predict atmospheric visibility using different meteorological parameters and PM concentrations.The model shows the best performance to simulate the variation of visibility in different seasons when considering PM10, wind speed, relative humidity, and air temperature.

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    Comparison of visibility in rainfall and haze-fog weather in Beijing using digital photographic visibility system
    Kai NIE, Jing-li WANG, Ming LEI, Wei HAN, Jin-cheng LIU
    2020, 36 (1):  28-35.  doi: 10.3969/j.issn.1673-503X.2020.01.004
    Abstract ( 193 )   HTML ( 6 )   PDF (3190KB) ( 100 )   Save

    Digital Photographic Visibility System (DPVS) is an instrument to measure atmospheric visibility based on a similar principle of artificial visual measurement.The observed visibility from the DPVS, a forward-scattered meter (PWD22), and an atmospheric transmissometer (LT31) under rainfall and haze-fog weather events were compared in Beijing from March to August of 2017.The results indicated that visibility has an obvious negative correlation with relative humidity, particle matter concentration, and precipitation particles.Under low visibility conditions, the variations of visibility observed from three instruments are basically consistent with each other in spite of small differences.Visibility observed from the DPVS has smaller discreteness and better stability under moderate rainfall, heavy rainfall, rainstorm, and moderate haze-fog events.However, the visibility observed from the DPVS has large uncertainty during the transition period between daytime and nighttime, which should be improved by optimizing the algorithm in the future.

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    Identification and spatial verification of the forecasting bias of the main rain belts based on precipitation objectives
    Yi-yong CAI, Guo-fei WEI, Hao-fei DANG, Qing LIN
    2020, 36 (1):  36-42.  doi: 10.3969/j.issn.1673-503X.2020.01.005
    Abstract ( 320 )   HTML ( 9 )   PDF (2142KB) ( 113 )   Save

    Based on precipitation data from observations and predictions from the ECMWF (European Centre for Medium-Range Weather Forecasts) model in Fujian and surrounding areas from April to June in 2014-2018, the main rain belts from the observations and all of the rain belts from predictions were determined using an object identification method, in which a rainfall threshold, an appropriate characteristic spatial scale, and a close degree were set.Through pairing objects with the observations, the threshold of matching degree was selected to determine the predicted main rain belts.The SAL (Structure, Amplitude, and Location) spatial verification method was improved and accounted for the biases associated with the intensity, position, and morphology of the predicting main rain belts.The results show that, compared with the observations, the maximum amount in precipitation for the main rain belts prediction by the model is smaller, but the threshold one is larger.The position of main rain belts lies more westward and southward in April, but more westward and northward in May and June.The position of the main rain belts predictions by the model lags behind the observations and tends to be located in the upstream of the moving direction of the observations.The main rain belts have a stripe shape.The morphology of the predicted main rain belts is narrower and longer, and this tendency intensifies with the forecast lead time.The predicted axial angle of main rain belts is slightly smaller and tends to oriented north-eastwards.This work provides guidance for the bias correction of the main rain belts forecasting by the model.

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    Analysis of the background differences of precipitation influenced by cold air in Hainan island
    Yu-mei LI, Xun LI, Fang-cong ZHOU
    2020, 36 (1):  43-50.  doi: 10.3969/j.issn.1673-503X.2020.01.006
    Abstract ( 237 )   HTML ( 5 )   PDF (6011KB) ( 41 )   Save

    In this study, using the data from the conventional soundings, the daily precipitation amount from 18 national weather stations in Hainan island, and the ERA-interim reanalysis in 2000-2017, the circulation types corresponding to heavy rain and weak rain events in Hainan island affected by cold low level easterly jet (LLEJ) were classified by the means of REOF (Rotated Empirical Orthogonal Function) and k-means clustering.The results show that two circulation types that lead to the heavy rain and weak rain events in Hainan island are identified.In general, the heavy-rain events have better water vapor and updraft conditions, while the weak-rain ones are relatively poor in the water vapor supply.For the type Ⅰ of heavy-rain events, the water vapor is transported by a deep eastward airflow from the surface to high level and is uplifted by the strong fronts resulting in strong precipitation.For type Ⅱ of heavy-rain events, an easterly airflow below 850 hPa conveys water vapor to Hainan island, and the updraft lifting by the South Branch Trough and surface fronts results in heavy rainfall.For the type Ⅰ of weak-rain events, Hainan island is affected by a strong dry cold air, with westerly airflow at 500 hPa and anticyclone circulation at 700 hPa, and the water vapor conditions at low level are poor.For the type Ⅱ of weak-rain events, Hainan island is mainly affected by the western Pacific Subtropical High circulation, and the anticyclonic circulation from 700 hPa to 500 hPa results in a subsidence motion.

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    Articles
    Characteristics of the regional rainstorm processes in Guangxi during 1961-2017
    Yan-lan LI,Zhuo HUANG,Jie-lin HE,Wei-jian QIN
    2020, 36 (1):  51-57.  doi: 10.3969/j.issn.1673-503X.2020.01.007
    Abstract ( 284 )   HTML ( 8 )   PDF (704KB) ( 105 )   Save

    Base on the daily precipitation data from 91 meteorological stations in Guangxi from 1961 to 2017, the variation characteristics of regional rainstorm processes were analyzed using statistical methods such as a linear trend, a low pass filter analysis and a definition of regional rainstorm.The results show that there is a high frequency of rainstorm processes in Guangxi that happen every month of each year.74.2% of total rainstorm cases in a year occur mainly in May to August, and those cases persisting beyond 5 days mostly happen between June and August especially in June.The frequency of regional rainstorm processes in each year or in fall tends to show a remarkable increasing trend from 1961 to 2017.The rainstorm cases happen more frequently after 1990s than before, and the processes that the range of rainstorm cases extends to over 30 stations increase more significantly.In the autumns of recent ten years, both of the rainstorm frequency and intensity increase considerably.

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    Characteristics and formation mechanism of precipitation fog events in Jiangsu province
    Bo-ni WANG,Xue-rong ZHANG,Ming SUN,Li TIAN,Mei-juan PU
    2020, 36 (1):  58-66.  doi: 10.3969/j.issn.1673-503X.2020.01.008
    Abstract ( 369 )   HTML ( 7 )   PDF (4719KB) ( 119 )   Save

    Based on observational data of precipitation fog from 2011 to 2016 in Jiangsu province, we analyzed the synoptic types, the variation of meteorological parameters, and formation mechanisms of precipitation fog events.The results indicated that the main synoptic patterns for precipitation fog events in Jiangsu province include the inverted trough type, the ahead of cold front type, and the bottom of high-pressure type.The inverted trough type occurs most frequently and provides necessary meteorological conditions for the formation of precipitation fog, such as low air pressure, high humidity, low wind speed, ground wind direction shift from east/southeast to north, and high air temperature during the early period.During the formation period of precipitation fog events, positive temperature variability is converted to a weak negative value at 925 hPa over Jiangsu province, indicating that weak and cold air favors the occurrence of precipitation fog events.Weak and cold advection at the bottom of the boundary layer contributes to the condensation of water vapor and the formation of temperature inversion.The strongest temperature inversion corresponds to the lowest visibility.Both the updraft and downdraft with low vertical speeds are observed at the bottom of the boundary layer during precipitation fog events in Jiangsu province.

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    Climate characteristics and meteorological impact factors of heavy fog along Liaoning coast expressway
    Wan-ying ZHANG,Xiu-bo SUN,Lan LI,Jian-qiang ZHANG,Li SUN,Xin QI
    2020, 36 (1):  67-73.  doi: 10.3969/j.issn.1673-503X.2020.01.009
    Abstract ( 321 )   HTML ( 7 )   PDF (2241KB) ( 69 )   Save

    Observation data from the meteorological stations along Liaoning coastal expressway and the NCEP (National Centers for Environmental Prediction) reanalysis data from 2005 to 2018 were used to analyze the climatic characteristics of heavy fog along Liaoning coastal expressway and its relationship with relevant meteorological elements.The influence factors of circulation on heavy fog were also studied.The results show that the average annual heavy fog days of Liaoning coastal expressway has a high-low-high feature from west to east.The average number of the annual heavy fog days of east and south coast coastal expressway in Liaoning province is the largest.The average number of fog days along the east coastal expressway in the east of Liaoning province has a significant decreasing trend from east to west.The difference of the average number of the annual heavy fog days of each expressway station along the western Liaoning province is the biggest and the local influence on the western coastal expressway is the strongest.The average annual number of heavy fog days in coastal expressway has obvious monthly and seasonal variation characteristics.Heavy fog days occur most frequently in October and less in May.The highest proportion of the number of heavy fog days in the whole year occurs in autumn, and the lowest is in summer.The fogs in autumn are strong mainly appearing at the height from 0-200 m, with the temperature in 10-15℃, relative humidity more than 98%, wind speed between 0-3 m·s-1, and northeastern wind prevailing.Based on the analysis of circulation characteristics, we conclude that the coastal areas in Liaoning province in autumn are less affected by the subtropical high and normally affected by the latitudinal circulation and polar vortex.The stronger or weaker the zonal circulation and polar vortex are, the more or less heavy fog days are in the coastal areas of Liaoning province.The water vapor comes from the eastern mountainous area of Liaoning province, the Bohai Sea, and the northern part of the Yellow Sea.The fog form along Liaoning coast expressway in autumn is not the sea fog, but the frontal and radiation fogs.The advection fog over the east coast of Liaoning province comes from eastern mountainous area of Liaoning province is also another form.

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    Numerical simulation analysis on the potential and index of artificial precipitation enhancement in spring in Jilin province
    Bo SHANG,Miao CAI,Ye HUO,Yu-quan ZHOU
    2020, 36 (1):  74-81.  doi: 10.3969/j.issn.1673-503X.2020.01.010
    Abstract ( 199 )   HTML ( 2 )   PDF (5039KB) ( 57 )   Save

    By using the mesoscale numerical model WRF 3.3.1 applied in operational forecasting system in Jilin province, the potential of artificial precipitation enhancement (APE) of a spring rainfall process on April 12, 2016, was analyzed.Specific humidity, updraft, index K, E-Ei and integral cloud water related to APE potential were chosen as comprehensive index identifying the APE potential area.The results indicated that 850 hPa specific humidity (SH850) and index K are relevant to the precipitation in spring in Jilin province.No precipitation occurs when SH850 is less than 2.9 g·kg-1, while precipitation more than 2 mm mostly corresponds to SH850 more than 4.5 g·kg-1 and index K more than 22℃.In addition, SH850 larger than 4.5 g·kg-1, index K larger than 22℃, integral cloud water larger than 0.2 mm, E-Ei larger than 0 and vertical velocity of lower layers larger than 0.4 m·s-1 were determined as the index of strong APE potential area.Then, the other spring precipitation events are used to test the grade recognition index, implying that the index is able to represent the dynamic, thermal and microphysical conditions of cloud and is available in identifying the potential area of APE in Jilin province.

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    The application of EC-thin data in the identification of the potential area of artificial precipitation enhancement in the low trough cold front precipitation process
    Pei-pei GENG,Cong-mei WANG,Zhi-xia LI,Wen-xia YANG
    2020, 36 (1):  82-88.  doi: 10.3969/j.issn.1673-503X.2020.01.011
    Abstract ( 172 )   HTML ( 3 )   PDF (2556KB) ( 253 )   Save

    Based on eight precipitation processes of low trough cold front in central-south Hebei, the actual observational data, microwave radiometer data, millimeter-wave cloud instrument data, and the EC-thin model data were used to investigate the application of EC-thin data in the identification of potential area of the artificial precipitation enhancement (APE).Results show that the common features of low trough cold front precipitation process are that the low trough moves eastward between middle and high level (30°-50°N, 100°-120°E) and the surface cold front affects central-south Hebei province along the path of northwest or west.No matter whether it is at plain or in mountainous area, low cloud cover (LC), total moisture content of gas column (TMC), atmospheric precipitation (AP) and specific humidity of 850 hPa (SH) generally increase with the increase of rainfall.When the central-south Hebei region is affected by the low trough cold front weather system, at the plain area, APE can be carried out when LC, TMC, AP, and the forecasted SH are above 60%, 31 kg·m-2, 37 kg·m-2, and 6 g·kg-1, respectively.Whereas, in mountainous areas, APE can be carried out when LC, TMC, AP, and the forecasted SH are above 50%, 21 kg·m-2, 29 kg·m-2, and 4 g·kg-1, respectively.In addition, the optimum APE stage is the moment at which the physical values start to decrease from the maximum.

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    Scientific Notes
    Health assessment of water ecosystem in Benxi urban section of Taizi River
    Ying-tan YU,Shou-peng WANG,Lin LIU,Fang-fang XING,Chao-xing ZHANG,Da ZHONG,Wen-bo ZHAO,Jian WANG
    2020, 36 (1):  89-95.  doi: 10.3969/j.issn.1673-503X.2020.01.012
    Abstract ( 207 )   HTML ( 1 )   PDF (1521KB) ( 34 )   Save

    As the local main river, the Taizi River is the primary source for industrial, agricultural, and living water in Benxi.In order to better understand the water body condition of Taizi River in the urban area of Benxi, based on the data of 18 monitoring sections in the seasons of average water (April), abundant water (August) and the lack water (November) in 2017, combining with the actual situation and characteristics of the studied river section as well as the use of the evaluation index system of Analytic Hierarchy Process (AHP), the health of water ecosystem of the studied river section was evaluated.With the comparison and analysis, the evaluation result in the average water season is taken as dominate part and those in the abundant water season and lack water season are taken as auxiliary.The results show that only 22% monitoring sections are in a health condition and 56% ones are in a sub-health status, while the other 22% monitoring sections are in general status, which reflects that the most basin of Taizi River flowing through Benxi urban area is being in the sub-health state and its water ecosystem is deteriorating, revealing that reinforcing management and protection is needed in the studied river section.

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    Spatial characteristics of the protection efficiency of the direct lightning in Heilongjiang province
    Xiang-ling YUAN,Hong-xu MA,Qian ZHOU,Sen MU,Shao-jie YOU
    2020, 36 (1):  96-101.  doi: 10.3969/j.issn.1673-503X.2020.01.013
    Abstract ( 136 )   HTML ( 2 )   PDF (3563KB) ( 33 )   Save

    Based on lightning location data in Heilongjiang province, the spatial distribution characteristics of ground flash density, ground flash intensity, shielding failure rate and counterattack rate were studied and the protection efficiencies of the different types of direct lightning were analyzed by using IDW and Pearson correlation analysis method.The results show that the spatial distributions of ground flash density and intensity are negatively correlated and the correlation coefficient is -0.608.The shielding failure rate is positively correlated with the ground flash density but is negatively correlated with the ground flash intensity.The counter-attack rate is negatively correlated with the ground flash density and is positively correlated with the ground flash intensity.In addition, the shielding failure rates of the first, second and third types of lightning protection buildings in Heilongjiang province are 0.04%, 0.71%, and 4.59%, meaning that the lightning protection efficiencies of three types of direct lightning protection buildings are 99.96%, 99.29%, and 95.41%, respectively.Besides, when the safety distances of the lightning protection buildings are calculated according to the design norm for protection of structures against lightning, the risk of counterattack of the first, second and third types of lightning protection buildings will reach 3.16% 4.64% and 7.32%, respectively.

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    Bulletins
    Effects of climate change on phenophase of woody plants at the northern foot of Yinshan Mountain
    Li-ping YANG,Cun-hou ZHANG,Hai-yan DAI,Di-bo LV,Jun HAN
    2020, 36 (1):  102-107.  doi: 10.3969/j.issn.1673-503X.2020.01.014
    Abstract ( 180 )   HTML ( 2 )   PDF (634KB) ( 192 )   Save

    Based on 3 kinds of woody plant's phenology observation data for Salix matsudana, Ulmus pumila and Populus simonii Carr and simultaneous meteorological data from meteorological observatory of agriculture and husbandry in Inner Mongolia from 1983 to 2012, linear tendency estimation and Pearson correlation coefficient methods were used to discuss the effects of climate change on phenophase of woody plants at the northern foot of Yinshan Mountain.The results show that in recent 22 years, the date of bud appearing and the ending date of defoliation exhibited an advanced trend for Salix matsudana, Ulmus pumila and Populus simonii Carr at the northern foot of Yinshan Mountain.In addition, the ending date of defoliation was ahead more than the date of bud appearing with advanced days of 2.9 d, 3.6 d, and 4.6 d per 10 years, respectively.Growing season was shorten with the average growing season was 182 d.The temperature was the key meteorological factor affecting the date of bud appearing of Salix matsudana, Ulmus pumila, and Populus simonii Carr.The date of bud appearing advanced 4.1 days when temperature in spring increased 1℃.However, the ending date of defoliation was more sensitive to precipitation, and water conditions were the main limiting factor for the ending date of defoliation of woody plants at the northern foot of Yinshan Mountain.

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    Study on PAHs pollution characteristics of surface soil in different functional areas in Shenyang
    Wei HOU,Wei LIU,Zhi-qiang WAN,Yun-di SONG,Lai-yi CHEN,Yue LI,Lei JIANG,Dan SU,Hai-bo YU
    2020, 36 (1):  108-112.  doi: 10.3969/j.issn.1673-503X.2020.01.015
    Abstract ( 164 )   HTML ( 3 )   PDF (821KB) ( 20 )   Save

    Quantitative analysis of Polycyclic Aromatic Hydrocarbons (PAHs) for surface soil of Shenyang was carried out using a High-Performance Liquid Chromatography (HPLC) method.The content and distribution characteristics of PAHs for surface soil in different functional areas of Shenyang were studied.As far as the total amount of PAHs in soil concerned, the content of PAHs in parks is the lowest, followed by residential areas.Universities and commercial areas rank behind residential areas.Whereas traffic arteries and industrial areas have the larger content of PAHs.For the spatial distribution of the content of PAHs, the contents of PAHs in the areas close to industry and areas with large number of motor vehicles are higher, while the contents of PAHs in the areas close to culture, education, and habitation are lower.The distribution of PAHs components in all samples was consistent, with the content of tetracyclic polycyclic aromatic hydrocarbons being the highest, followed by tricyclic polycyclic aromatic hydrocarbons and pentacyclic polycyclic aromatic hydrocarbons.Referring to the quality and controlling standards of EPA sediment of PAHs in United States, the functional areas in which the total amount of PAHs exceeded the quality standards include industrial areas, traffic arteries (4 sampling points, accounting for 36.3%), cultural and educational areas (3 sampling points, accounting for 75%) and public parks (4 sampling points, accounting for 40%).The functional areas that exceed the governance standards include industrial areas, parks (1 point, 10%) and cultural and educational areas (1 point, 25%).The results of this study can provide reference for urban layout planning and soil pollution control in Shenyang.

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