Multi-source Data-driven Identification of Urban Functional Areas:A Case of Shenyang,China

Urban functional area(UFA)is a core scientific issue affecting urban sustainability.The current knowledge gap is mainly reflected in the lack of multi-scale quantitative interpretation methods from the perspective of human-land interaction.In this paper,based on multi-source big data include 250 m×250 m resolution cell phone data,1.81×105 Points of Interest(POI)data and administrative boundary data,we built a UFA identification method and demonstrated empirically in Shenyang City,China.We argue that the method we built can effectively identify multi-scale multi-type UFAs based on human activity and further reveal the spatial correlation between urban facilities and human activity.The empirical study suggests that the employment functional zones in Shenyang City are more concentrated in central cities than other single functional zones.There are more mix functional areas in the central city areas,while the planned industrial new cities need to develop comprehensive functions in Shenyang.UFAs have scale effects and human-land interaction patterns.We suggest that city decision makers should apply multi-sources big data to measure urban functional service in a more refined manner from a supply-demand perspective.

Coupling outdoor air quality with thermal comfort in the presence of street trees:a pilot investigation in Shenyang,Northeast China

Together,the heat island eff ect and air pollution pose a threat to human health and well-being in urban settings.Nature-based solutions such as planting trees are a mitigation strategy to improve outdoor temperatures(thermal comfort)and enhance air quality in urban areas.In this study,outdoor thermal comfort,and particulate matter levels were compared between treeless and treed areas to provide a better understanding of how street trees improve thermal comfort and air quality.Street trees decreased the physiological equivalent temperature from 46.3 to 44.2℃in summer but increased it from 36.4 to 37.5℃in autumn.Air temperature and relative humidity contributed more in summer while wind speed contributed more in autumn.Particulate matter concentrations were negatively correlated with physiological equivalent temperature in summer but not in autumn.The presence of trees decreased concentrations of fi ne particulate matter in hot summer conditions but increased in hot autumn conditions.The presence of trees increased coarse particulate matter in very hot summer conditions in summer and in hot autumn conditions.Overall,the layout of trees in urban street canyons should consider the trade-off between outdoor thermal comfort and air quality improvement.

Temporal-spatial distribution and variability of cadmium contamination in soils in Shenyang Zhangshi irrigation area,China

Heavy metal contamination in soils has been of wide concern in China in the last several decades. The heavy metal contamination was caused by sewage irrigation, mining and inappropriate utilization of various agrochemicals and pesticides and so on. The Shenyang Zhangshi irrigation area （SZIA） in China is a representative area of heavy metal contamination of soils resulting from sewage irrigation for about 30 years duration. This study investigated the spatial distribution and temporal variation of soil cadmium contamination in the SZIA. The soil samples were collected from the SZIA in 1990 and 2004; Cd of soils was analyzed and then the spatial distribution and temporal variation of Cd in soils was modelled using kriging methods. The kriging map showed that long-term sewage irrigation had caused serious Cd contamination in topsoil and subsoil. In 2004, the Cd mean concentrations were 1.698 and 0.741 mg/kg, and the maxima 10.150 and 7.567 mg/kg in topsoils （0-20 cm） and subsoils （20-40 cm） respectively. These values are markedly more than the Cd levels in the second grade soil standard in China. In 1990, the Cd means were 1.023 and 0.331 mg/kg, and the maxima 9.400 and 3.156 mg/kg, in topsoils and subsoils respectively. The soil area in 1990 with Cd more than 1.5 mg/kg was 2701 and 206.4 hnl2 in topsoils and subsoils respectively; and in 2004, it was 7592 and 1583 hm^2, respectively. Compared with that in 1990, the mean and maximum concentration of Cd, as well as the soil area with Cd more than 1.5 mg/kg had all increased in 2004, both in topsoils and subsoils.

Climate Changes and Countermeasures for Meteorological Disasters during Production Period in Vegetable Greenhouse in Northern Shenyang Province

[Objective] The aim was to study the climate changes and countermeasures for meteorological disasters during production period in vegetable greenhouse in northern Shenyang. [Method] By dint of local climate data in recent 38 years and using the conventional method of mathematical statistics, the climate changes and countermeasures for meteorological disasters during production period in vegetable greenhouse in northern Shenyang were expounded. [Result] In general, the sunshine condition in new area of Shenyang was normal. Winter sunshine time in Shenyang was short (551). Sunshine hours in each year were decreasing each year, but the decreasing span was not distinct. The temperature climate tendency during growth period of vegetables in greenhouse in new area of north Shenyang was 0.371 ℃/10 a. The winter climate trend rate of 0.313 ℃/10 a; Though the climate was increasing, the wave range was large, difficult to produce; in the cold period (November to March), precipitation in each year and rainy days were increasing, having large influence on the production of vegetables in greenhouse. The low temperature and cloudy days were the characteristics of climate in winter in that area, having disadvantageous to the development of vegetables. Warming measures in winter was expected to conduct. [Conclusion] The study provided scientific accordance to the development of agriculture industry in the local area.

Change Trends of Accumulated Temperature and Effects on Agricultural Production in Shenyang during Recent 58 Years

[Objective] The aim was to study the change trend of accumulated temperature in Shenyang in recent 58 years, as well as its effect on agricultural production. [Method] Based on the surface temperature data in Shenyang, the change trends of ≥0 ℃ and ≥10 ℃ accumulated temperature in Shenyang in recent 58 years were analyzed by means of climatic statistics method, and the effects of accumulated temperature variation on agricultural production were discussed. [Result] In recent 58 years, the first day with temperature ≥0 ℃ advanced 10 d, and the last day put off slightly, while sustained days prolonged 13 d, and ≥0 ℃ accumulated temperature increased by 343 ℃·d; meanwhile, the first day with temperature ≥10 ℃ advanced 9 d, and the last day put off 8 d, while sustained days prolonged 16 d, and ≥10 ℃ accumulated temperature increased by 370 ℃·d; compared with the first 20 years, sustained days with temperature ≥0 ℃ and ≥10 ℃ prolonged 9 d in the last 20 years, and ≥0 ℃ and ≥10 ℃ accumulated temperature increased by 196 and 202 ℃·d, respectively. In addition, the increase of heat resources affected agricultural production in Shenyang. [Conclusion] The study could provide theoretical foundation for grasping heat resources variation and adjusting agriculture distribution.

Color Landscape Planning and Design of Urban Street Buildings:A Case Study of the Western Section of Zhongshan Road in Shenyang City

Through exploring color landscape planning and design of buildings in the western section of Zhongshan Road in Shenyang City, this paper proposed color landscape design methods adaptive to Chinese urban construction, concerning various tasks such as reasonable orientation of street building colors, effective control of street building colors, realization of regional characteristics and cultural connotations of urban colors via designs, so as to provide references and theoretical support for the future landscape design of urban streets.

Analysis of Spatial Scale Effect on Urban Resilience:A Case Study of Shenyang,China

Based on urban physical space and theory of landscape ecology,a triune assessment framework—‘size-densitymorphology’—was constructed in order to analyze the spatial pattern and the scale effect of urban resilience in Shenyang of China in 2015,and to explore the main impact factors of landscape under different spatial scale backgrounds.The results show that:1)Urban resilience is an optimal combination of the resilience of size,density,and morphology.The urban resilience of Shenyang displays scale effect;the overall resilience level increases with the increase in scale,while the spatial difference and spatial similarity tend to decrease resilience.2)As 2 km,1 km and 2 km are scale inflection points of average value curves for size resilience,density resilience and morphology resilience,respectively in an urban setting;the optimal scale unit of comprehensive resilience is 1 km.Choosing 1 km–2 km as the basic spatial scale better depicts overall pattern and detailed characteristics of resilience in Shenyang.The spatial amplitudes of 0.5 km and 1 km are sensitive points for spatial autocorrelation of morphology and density resilience,size,and comprehensive resilience to scale effect.3)The major landscape factors of urban size and morphology resilience transform with scale expansion.Aggregation index(AI)has a significant impact on urban resilience at different scales;its influence increases significantly with the increase in scale.4)The high-level area of comprehensive resilience in Shenyang is the eastern ecological corridor area,while the low value area is the peripheral extension area of the city.To promote the overall level of resilience in Shenyang,this paper argues that the construction of ecological infrastructure should be strengthened in the peripheral extension area in a balanced manner.In the city center,population and building density should be controlled;the intensity of human activities should be reduced;impetus should be placed on landscape heterogeneity;and the homogeneous expansion of the area of construction should be prevented.In the eastern ecological corridors,the exploitation of ecosystem lands should be strictly controlled,and the integrity of the green landscape patches should be maintained.

Paenibacillus Shenyangensis的DNA序列拼接与组装

在已有测序数据基础上,利用三种常见的序列组装软件对Paenibacillus Shenyangensis全基因组测序结果进行拼接组装,分析比较了不同软件在各自最优参数条件下DNA序列的组装数据,并与NCBI数据库中类芽孢杆菌属其他近缘种进行基因比对与预测.结果表明,SOAPdenovo的组装结果最优,在k-mer为23时,组装基因组总长和N50分别为5 501 467和293 864 bp,预测的4 800个基因中有4 393个与NCBI-Nr数据库比对并注释成功.

Evaluation and Promotion of the Service Capacity of Urban Public Open Spaces Based on Improving Accessibility:A Case Study of Shenyang City,China

The service capacity of urban public open spaces is an important indicator of the justness and soundness of the allocation of public space resources,such as parks and green spaces,in the process of urban development.Improving the service capacity of urban public open spaces is conductive to healthy,sustainable urban development.In this study,taking Shengyang City,China as a case study,a Gaussian-based two-step floating catchment area method(2 SFCA)is used to calculate an accessibility index and identify residential areas with a poor accessibility to urban public open spaces.Then,a particle swarm algorithm(PSA)is used to optimize the locations of new open space developments.Finally,the optimization results are verified using the analytic network process(ANP).The results show that the service capacity of public open spaces in the center of Shenyang City(covering six districts)is relatively low and exhibits an uneven spatial distribution.In the service scope of the existing urban public open spaces,the accessibility for 48.6%of the residential estates is moderately poor or poor.The layout is optimized when the number of optimization points is set to 8.These points are mainly located in old town areas such as the Tiexi,Huanggu,and Dadong districts.The optimization increases the green space area accessible by motor vehicles(60 min),bicycles(60 min),and walking(30 min)by 4.67%,5.38%,and 8.03%of the study area,respectively.Finally,green space planning recommendations are offered from two perspectives:spatial layout and transport system optimization.

Variation Characteristics of Longest Continuous Rainfall Days in Shenyang in Recent 48 Years

[Objective] The aim was to study the variation characteristics of longest continuous rainfall days in Shenyang in recent 48 years. [Method] Based on the data of longest continuous rainfall days in Shenyang from May to September in 1961-2008, the variation characteristics of longest continuous rainfall days in Shenyang in recent 48 years was analyzed by means of one-dimensional linear trend estimation and wavelet analysis method. [Result] In recent 48 years, the longest continuous rainfall days in Shenyang showed decrease trend from May to September except for June in which it showed increased; the total longest continuous rainfall days showed decrease trend, and the maximum value appeared in 1986, while the minimum value could be found in 1997; from periodic variation, the total longest continuous rainfall days had the period of 2-3 years, and there also existed the period of 5-7 years after 1980; the total longest continuous rainfall days were more from the beginning of 1960s to the middle of 1990s and less thereafter. [Conclusion] The study could provide theoretical foundation for the deep research on climate change in Shenyang.

Reanalysis on Hail Suppression Weather Prewarning of the "8.21" Rare Hail in Shenyang

[Objective]The research aimed to analyze hail weather during 18：30-19：30 on August 21,2011.[Method]Based on NCEP 6 h reanalysis data,Micaps data and FY-2 satellite cloud image,weather situation field,meteorological element field and satellite cloud image of the hail during 18：30-19：30 on August 21,2011 were reanalyzed.Weather causes of the hail and characteristics of the satellite cloud image were discussed.We summed up how to conduct prewarning analysis of the hail suppression weather from live weather data and numerical forecast products.[Result]In occurrence and development process of the hail weather,cold vortex at 500 hPa was background weather system.850 hPa warm tongue and ground wind shear were essential conditions for forming strong convective hail cloud.Early weather chart was analyzed.It could analyze occurrence reason of the weather from mechanism aspect of the weather system,and issue weather prewarning as early as possible.Numerical forecast products were used to analyze meteorological element field.It could further analyze and accurately predict probability,time and range of the hail occurrence.Infrared satellite cloud image was more accurate for monitoring strong convective hail cloud,which could intuitively predict occurrence of the hail weather.[Conclusion]The research offered some hail suppression prewarning experiences for the future similar hail weather.

Research on Social Medical Insurance of College Students in Shenyang

Objective To discuss the methods of improving the social insurance of college students by taking the application of college students’social insurance in Shenyang as an example.Methods The investigation and literature method were applied mainly.Results and Conclusion Through the questionnaire,the main problems for college students’medical insurance were analyzed in this paper,and proposals such as compulsory insurance,improving the level of medical services in colleges and hospitals,and strengthening commercial insurance and publicity were finally put forward.

Risk Factors for Age-Related Macular Degeneration in Elderly Chinese Population in Shenyang of China

Objective The paper aims to evaluate the risk factors for age‐related macular degeneration （AMD） in elderly Chinese population in Shenyang,a northeast city of China.Methods A case‐control study was conducted to investigate the risk factors for the prevalence of AMD.Ninety three AMD patients diagnosed by a complete ophthalmic examination were recruited as cases from the outpatient departments of two eye hospitals in Shenyang,while 108 normal subjects of similar age and sex were recruited as controls.A questionnaire was administered among both cases and controls.Results AMD patients aged 60 years and older accounted for 75.3%.There were significantly higher educational levels,shorter smoking history,less sunlight exposure and cataract,and higher proportion of antioxidants intake in controls than in AMD patients.The frequency of intake of fruits,legumes,fish and shrimps was significantly higher in controls than in AMD patients.In a binary logistic regression analysis,smoking and cataract were the risk factors for AMD （OR：4.44,95% CI：2.27‐8.69;OR：4.47,95% CI：2.26‐8.85 respectively）.The high educational background was a protective factor for AMD （OR：0.761,95% CI：0.51‐0.98）.Conclusion A low educational background,smoking and cataract are associated with a higher prevalence of AMD.

Soil Microbial Characteristics Under Long-Term Heavy Metal Stress:A Case Study in Zhangshi Wastewater Irrigation Area,Shenyang

Soil samples were collected from Zhangshi Wastewater Irrigation Area in the suburb of Shenyang City,China,an area with a 30-year irrigation history with heavy metal-containing wastewater.The chemical properties and microbial characteristics of the soils were examined to evaluate the present situation of heavy metal pollution and to assess the soil microbial characteristics under long-term heavy metal stress.In light of the National Environmental Quality Standards of China,the soil in the test area was heavily polluted by Cd and to a lesser degree by Zn and Cu,even though wastewater irrigation ceased in 1993.Soil metabolic quotient (qCO_2) had a significant positive correlation,while soil microbial quotient (qM) had a negative correlation with content of soil heavy metals.Soil microbial biomass carbon (MBC) had significantly negative correlation with Cd,but soil substrate-induced respiration (SIR),dehydrogenase activity (DHA),cellulase activity, and culturable microbial populations had no persistent correlations with soil heavy metal content.Soil nutrients,except for phosphorous,showed positive effects on soil microbial characteristics,which to a certain degree obscured the adverse effects of soil heavy metals.Soil Cd contributed more to the soil microbial characteristics,but qM and qCO_2 were more sensitive and showed persistent responses to heavy metals stress.It could be concluded that qM and qCO_2 can be used as bioindicators of heavy metal pollution in soils.

Ground-based Observations of Ultraviolet and Total Solar Radiation in Shenyang,Northeast China

Objective This work explores the diurnal variation of Solar ultraviolet radiation （UVR） and total solar radiation （TSR） in northeast China,using daily observations of UVR and TSR in Shenyang.Methods UVR and TSR measurements were carried out from March 1st,2006 to December 31st,2009 in Shenyang,Liaoning province,China （41°51＇ N,123°27＇ E）.Results Both TSR and UVR showed seasonal variation,reaching the highest levels in summer and the lowest in winter.They showed the greatest fluctuation in summer and autumn.The irradiance of TSR and UVR on clear days around the equinoxes and solstices increased substantially compared with the mean seasonal irradiance,especially in autumn.The whole day accumulated dose of UVR in winter was far less than that during the middle part of a summer day （i.e.between 10：00 and 14：00）.It was also less than the accumulated summer dose of morning and afternoon （i.e.between 8：00 and 10：00 and 14：00 and 16：00）.Conclusion The instant irradiance and daily accumulated amount of UVR are low in Shenyang,especially in autumn and winter.Thus concern about the health effects arising because shortage of UVR in northeast China is warranted.

Spatial distribution of Cd and Cu in soils in Shenyang Zhangshi Irrigation Area(SZIA),China

Heavy metal contamination of soils,derived from sewage irrigation,mining and inappropriate utilization of various agrochemicals and pesticides,and so on,has been of wide concern in the last several decades.The Shenyang Zhangshi Irrigation Area(SZIA) in China is a representative area of heavy metal contamination of soils resulting from sewage irrigation for about 30 years.This study investigated the spatial distribution and temporal variation of soil cadmium(Cd) and copper(Cu) contamination in the SZIA.The soil samples were collected from the SZIA in 1990 and 2004;Cd and Cu in soils was analyzed and then the spatial distribution and temporal variation of Cd and Cu in soils were modeled using Kriging methods.The results show that long-term sewage irrigation had caused serious Cd and Cu contamination in soils.The mean and the maximum of soil Cd are markedly higher than the levels in second grade standard soil(LSGSS) in China,and the maximum of soil Cu is close to the LSGSS in China in 2004 and is more than the LSGSS in China in 1990.The contamination magnitude of soil Cd and the soil extent of Cd contamination had evidently increased since sewage irrigation ceased in 1992.The contamination magnitude of soil Cu and the soil extent of Cu contamination had evidently increased in topsoil,but obviously decresed in subsoil.The soil contamination of Cd and Cu was mainly related to Cd and Cu reactivation of contaminated sediments in Shenyang Xi River and the import of Cd and Cu during irrigation.The eluviation of Cd and Cu in contaminated topsoil with rainfall and irrigation water was another factor of temporal-spatial variability of Cd and Cu contamination in soils.

Effects of heavy metal pollution of highway origin on soil nematode guilds in North Shenyang, China

Soil samples were collected with distance at 5, 20, 40, 80, 160, and 320 m from the Shen-Ha （Shenyang-Harbin） Highway, Northeast China, to investigate the effect of heavy metals of highway origin on soil nematode guilds. The contents of soil Pb, Cu, Zn, and the nematode community structure were analyzed. The results showed that the contents of total and available Pb, Ca, Zn varied significantly with the different distances from the highway. Pb was the main pollutant in the soils in the vicinity of Shen-Ha Highway. The zone from 20 to 40 m away from the highway was the most polluted area. The highest abundance of soil nematodes was found at 5 m while the lowest at 20 m away from the highway. Thirty six genera of nematodes belonging to 23 families were identified. Nematode guilds having different responses to soil heavy metals were classified into four types. Soil nematode guilds may act as a prominent indicator to heavy metal pollution of highway origin.

Spatial Structure of Urban Residents’ Leisure Activities: A Case Study of Shenyang, China

The spatial characteristics of residents’ leisure activities not only reflect their demand for urban leisure space but also affect the urban spatial layout. This study takes Shenyang, China as an example and analyzes the characteristics of residents’ leisure activities through questionnaires. On this basis, it uses point of interest data and mobile phone signaling data to identify various types of residential and leisure functional relationships, and uses spatial analysis and community detection to assess the distance characteristics, flow patterns, and community structure of residents’ leisure activities, so as to discuss the spatial structure of residents’ leisure activities in Shenyang. The results showed that: (1) in addition to leisure at home, Shenyang residents mainly went to shopping malls, supermarkets,and parks for leisure activities, and the proportions of residents of the two types of leisure activities were approximately equal;(2) the average distances that residents traveled for shopping and park leisure were near in the middle and far in the periphery, and the travel costs of peripheral residents for centrally located leisure were higher than those for residents in central areas;(3) the flow patterns of the residential-shopping and residential-park functional relationships displayed clustering mode characteristics, and Shenyang presented a significant monocentric structure;and (4) residents’ shopping activities were concentrated in the southern community, and walking in the park activities were concentrated in the western community. Residents’ leisure activities were characterized by centripetal agglomeration,which was prone to problems such as traffic congestion and big city diseases. The spatial expansion process in the city was characterized by obvious directional inheritance and path dependence, and the construction of sub-cities is needed to improve the related service facilities.

The Community Renewal of Shantytown Transformation in Old Industrial Cities:Evidence from Tiexi Worker Village in Shenyang,China

There are many problems,such as poverty,unemployment,poor infrastructure and how to improve the ecological environment,in the shantytowns of old industrial cities.Shantytowns are the most centralized areas with different contradictions,referred to as the‘problem areas’of urban sustainable development.The shantytown transformation of old industrial cities is a typical process of unit community disintegration,which is reflected not only in the reconstruction of physical space but also in the community renewal of social spatial integration and culture reconstruction.Based on qualitative research,questionnaires and in-depth interviews,taking Tiexi Worker Village in Shenyang as a research case,this paper attempts to analyse the characteristics and driving forces of the community renewal of shantytown transformation in old industrial cities.We found that the physical space of Tiexi Worker Village has changed considerably,which is embodied in its land use structure,living environment and community service facilities,reflecting the development of community function from simple industrial function to comprehensive functions.The residents in this community have experienced a transformation from a period of homogeneity to one of heterogeneity.The social network of the community has been destroyed.Social stratification,social differentiation and higher fluidity have occurred.Community renewal is mainly affected by macro factors such as policy regulation,economic driving,condition constraints,and micro factors such as residents’choice of living space and willingness to renew their communities.The transformation policy of the old industrial zone and the development policy of the new urban area are the fundamental and deep-seated reasons for the renewal of Tiexi Worker Village,which determine the direction of the renewal and development of the community.The paid use of land and the development of the real estate industry are the direct stimulating factors for the renewal of Tiexi Worker Village,which become the direct reasons for the spatial transformation.The changes in the population in urban and rural areas and the promotion of traffic are the driving factors for the renewal of the community,while the choice of residents and their willingness regarding community renewal are the endogenous forces for promoting community renewal.Finally,the author attempts to put forward a model of the interlaced mechanism of the forming of community renewal at the macroscopic and microcosmic levels,which are the urban renewal and reconstruction and social space differentiation of community residents,respectively.

Identification method and empirical study of urban industrial spatial relationship based on POI big data: a case of Shenyang City, China

The industrial spatial relationship is a cross-cutting subject of economic geography and geographical information science which has considerable significance to promote a sustainable planning and development of regional economic system.Taking Shenyang City as our study area and using the location information of manufacturing units and automobile sales outlets extracted from points of interest(POI),we investigated the spatial relationship between the two industries from integration,correlation and coordination perspective.Based on spatial statistical analyses,the equipment manufacturing industry and the automobile sales industry in Shenyang City showed a spatial complementary integration,weak spatial correlation,and coordination with scale dependence and spatial heterogeneity in 2018.This distribution characteristic is attributed to:1)local policy factors(i.e.,that industrial land should be located in the periphery of the city or outside the Second Ring Road),and 2)the economic factors(i.e.,that the degree of dependence of the equipment manufacturing industry and automobile sales industry were also influenced by external factors such as costs).These results improved the current industrial spatial relationship analysis by developing a new framework based on POI big data in order to accelerate a coordinated development between manufacturing and service industries and to promote the construction of industrial ecosystem.