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    Earth Surface Processes
  • Earth Surface Processes
    ZHU Qian-ting, WU Jing, WANG Zheng
    2012, 31(9): 1547-1558. https://doi.org/10.11821/yj2012090001
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    The carbon trading would be one of the most important parts in climate change in future.Based on agent modeling,this paper establishes a global carbon trading simulation system that includes China,the US,Japan,the EU,the Former Soviet Union,and Rest of the World(ROW).According to the principle of accumulative emission per capita equalization and emission reduction targets control,two scenarios simulating global carbon trading are set in this paper,"Ding standard" and "2℃ target" scenarios.The study finds that:(1) the global carbon trading price will increase because of the decreasing quota of carbon emissions both in the "Ding standard" and "2℃ target" scenarios;(2) Carbon trading market will help to transfer fund from developed countries to developing countries;(3) Since developed countries can buy emission quota from developing countries,carbon emission per capita of developed countries will remain higher than that of developing countries in future;(4) Carbon trading market improves the accumulated global Ramsey's utility in both the "Ding standard" or "2℃ target" scenarios.However,"2℃ target" scenario can do better than "Ding standard" scenario both in China's future benefit and in improvement of global welfare.
  • Earth Surface Processes
    YUE Qun, ZHANG Guo-jun, WANG Zheng
    2012, 31(9): 1559-1570. https://doi.org/10.11821/yj2012090002
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    Atmospheric methane is the second most important greenhouse gas after CO2 and the most trace gas.The estimation of methane emission in China is significant for the emission control of greenhouse gases.Referencing the methods provided by IPCC 2006,the latest research results and local emissions factors,we estimate the anthropogenic emission of methane and its distribution by provinces.The data are based on statistical yearbooks from 2000 to 2005 including coal mining,waste disposal,biomass burning,paddy fields,domestic animal rumination and manure management systems.The results show that the total methane emission in China increased from 34287 Gg(1994) to 41493 Gg(2005).The methane emission increasing trend of the coal mining is most apparent.But compared with the growth rate of GDP and energy usage,the methane emission is under control.The methane emission is distributed unevenly in space with regional differences.The regions with higher methane emission are located in Northeast China,North China and Southwest China,while those with lower emission are located in Northwest China and some municipalities.In addition,the configurations of emission sources are different due to the changes of local emission sources.
  • Earth Surface Processes
    LI Dian-you, CHEN Liang-song, LI Jun, NI Jian-hua, LI Xiao-gang, PAN Gen-xing, LU Bao-guo, HUANG Deng-lin, SUN Xian-bin
    2012, 31(9): 1571-1579. https://doi.org/10.11821/yj2012090003
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    Spatial variabilities of soil organic carbon contents in croplands and the influencing factors have been the fundamental issues on estimating SOC stock and C sequestration potential.In this paper,archived data of the 2nd national soil survey and the soil monitoring of farmlands during 2005-2008 in Huoshan County,Anhui Province were collected to create a SOC distribution database.Statistical analysis of the SOC at different spatial scales within the county was conducted.The results showed that SOC contents in the county's farmlands have increased over the last 20 years,indicating SOC accumulation in the farmlands.The statistical variation coefficient of SOC ranged from 4.53% to 14.91% in terms of the size of spatial scales.Variabilities of village scale were much bigger than those of township scale.Thus it is suggested that soil sampling and statistics of SOC contents at spatial scale of townships should obtain higher reliability of SOC pool data than at village scale in the county.Prominent factors influencing SOC levels included land use types and agricultural managements.Results show that SOC contents in tea garden,mulberry field and rice paddy were high in the study area.
  • Earth Surface Processes
    SHI Lei, WANG Sheng, SHENG Shao-xue
    2012, 31(9): 1580-1588. https://doi.org/10.11821/yj2012090004
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    The meteorological data and meteorological disaster information in Anhui Province from 1961 to 2010 were used to select the evaluating indicators of climatic event and disaster according to the extreme weather events,technical regulation and relative standard for meteorological disaster assessment.The weight of each indicator was built by principal component analysis.The anomaly assessment models of climatic event and disaster damage,including drought,flood,low-temperature freezing disasters,high temperature,wind-hailstone and fog,were built by using the weighted integration method.On this basis,the annual climatic assessment model was established with grey relational analysis,and index series for annual climatic assessment of Anhui in recent 50 years were worked out.By reference to the percentile method recommended by World Meteorological Organization(WMO),we tried to determine the threshold values,and established standards for annual climatic assessment grade,taking 0-10%,10%-30%,30%-70%,70%-90% and 90%-100% as good,fair,not good,bad and harsh climate condition,respectively.The results of annual climatic assessment for the recent 50 years showed that the climate situation in 1965,1973,1975,1993,and 1997 was good,while that in 1966,1969,1991,1996 and 1998 was bad.Among them,assessment result of 1991 was the worst.Through verification with historical meteorological disaster information and integrated disaster damage model,the method and standard of annual climatic assessment could reflect the true climate condition.The studies provide technological support for annual climatic assessment for the province,city and county units,which can be used for researching the effects of climate and climate change on the sensitive affairs by constructing evaluating indicators and annual climatic assessment model,as well as making annual climatic assessment grade according to the threshold values.
  • Earth Surface Processes
    MOU Xue-jie, ZHAO Xin-yi
    2012, 31(9): 1589-1597. https://doi.org/10.11821/yj2012090005
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    With the accelerated process of urbanization,issues of urban climate and environment become more prominent,especially the urban heat island effect.In this paper,we made land use classification by supervised classification method and near-surface air temperature inversion by using Landsat Thematic Mapper(TM) data.Then we analyzed the spatial distribution of urban heat island and its regional differences,as well as the relationship with land use types.It is shown that the temperature of urban construction land is relatively high,which is the main factor for urban heat island while the temperature of vegetation and water is relatively low,which has a significant cooling effect.The heat island intensity profiles show that there are significant differences between north and south in terms of heat island intensity due to vegetation cover and terrain differences while little difference exists between east and west.We also found that the spatial distribution of urban heat island in the research area has the feature of both regional concentrating and scattering.And the heat island has the trend of expanding from the center of regional urban heat island to the suburbs.Besides,there is relatively consistency in terms of spatial distribution between urban heat island and land use types,but also inconsistent area where the urban heat island has expanded to non-urban construction area.
  • Earth Surface Processes
    QIAO Jia-jun, WU Na-lin, LI De-xi
    2012, 31(9): 1598-1610. https://doi.org/10.11821/yj2012090006
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    The farmland use intensity is an important focus in the course of the household behavior study,which can help understand the man-land relationship in rural areas.The paper adopts the factor analysis,gravity center analysis and spatial autocorrelation analysis,and uses softwares such as SPSS,ArcGIS and GeoDa software,to explore the spatial distribution and its change features of the farmland use intensity based on the county-level administrative unit in Henan Province.The farmland use intensity analysis based on the 126 county-scale data finds the following results.(1) The county-scale units at higher level of the farmland use intensity are mostly located in the northeast of Henan Province.County-scale units located in the places closer to the city are also at higher level of the farmland use intensity.County-scale units which are at the similar level of the farmland use intensity have the trend of spatial concentration.(2) The gravity center of the farmland use intensity is located in the northeast of the geometric center of Henan Province,and it continues to move to the northeast over time.(3) The level of the farmland use intensity is the result of the households' choice of investment structure under the restriction of natural geographical condition,economic environment,political system environment,social and cultural environment,combined with their own conditions.(4) The fact that the paper explored the features and changes of spatial distribution of the farmland use intensity can help us understand the statuses of household production decision in different areas and conditions.Finally,the paper suggests that agricultural production regionalization should fully consider the different levels of farmland use intensity in different areas,and upgrade each region's comparative advantage in the course of developing agricultural economy.
  • Earth Surface Processes
    ZHAO Xiao-feng, HUANG Xian-jin, ZHONG Tai-yang, PENG Jia-wen, ZHAO Yun-tai, LÜ Xiao
    2012, 31(9): 1611-1620. https://doi.org/10.11821/yj2012090007
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    There are many complex factors that affect intensive land use in development zones at both development zonal and regional levels.What's more,the two levels of factors interact with each other.Therefore,to reveal driving force of intensive land use in development zones,it is very important to analyze the interactions between the two level factors.Hierarchical linear model can reveal the impact of development zone level variables and regional level variables on intensive land use in development zones and help clarify the mechanism of intensive industrial land use.In this paper,null model,random effect regression model and full model were established to discuss how the factors of different levels affect the intensive land use in development zones.Null model analysis shows that 63.96% of the differences in intensive land use degree in development zones were caused by differences on development zone level,with 36.04% being caused by differences on regional level.Random effect regression model analysis indicates that there were evident variations among regions in set up years,number of enterprises and land policy intensity of development zones,while location and level of development zones were independent of regional environmental changes.Full model analysis indicates that the impact of regional industrial output value and regional urbanization rate on the positive correlation between set up years and intensive land use degree of development zones was not significant;regional industrial output value has strengthened the positive correlation between the number of enterprises and the intensive land use degree whereas regional urbanization rate has weakened the positive correlation between them;regional industrial output value has little effect on the positive correlation between the land policy intensity and the intensive land use degree whereas regional urbanization rate has strengthened the positive correlation between them;regional level variables have explained 18.18% of the correlation between the number of enterprises and the intensive land use degree of development zones and 11.27% of the correlation between land policy intensity and intensive land use degree of development zones.
  • Earth Surface Processes
    XU Guo-xin, JIN Xiao-bin, SONG Jia-nan, ZHOU Yin-kang
    2012, 31(9): 1621-1630. https://doi.org/10.11821/yj2012090008
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    Hierarchical linear models can separate variables of different spatial scales and different management levels,and they explain interactions between explanatory variables.This paper,taking Jiangsu province as a research area,uses hierarchical linear models to analyze the influence and mechanism of agricultural land use intensity and policy factors on grain yields.The results are shown as follows.(1) There are multi-level factors affecting grain productivity per unit area,agricultural land use intensity and policy factors separately explains 57.04% and 42.96% of differences in grain yields.(2) Grain productivity per unit area showed a rising trend from 2001 to 2008 in Jiangsu,of which labor intensity and capital intensity separately explained 19.50% and 5.68% of differences in average grain yield at county level.Land use intensity explained 25.17% of differences in average grain yield at county level,and intensive use of agricultural land is not the most important influencing factor that affects grain productivity,indicating that natural quality of land and land quantity has an increasingly important impact on grain production capacity.(3) Three policy variables-agriculture investment,technology investment and agriculture loans-have significant influence on grain yields.Agriculture investment only explained 11.90% of differences in average grain yields,and agriculture loans and technology investment separately explained 18.25% and 33.06% of differences in average grain yields.(4) All the selected policy variables can only explained 63.21% of differences in average grain yield at municipal level.
  • Earth Surface Processes
    PAN Jing-hu, SU You-cai, HUANG Yong-sheng, LIU Xiao
    2012, 31(9): 1631-1639. https://doi.org/10.11821/yj2012090009
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    The quantitative evaluation on land use change and its influence on landscape pattern caused by land exploitation and reorganization at a large scale is significant to the sustainable use of local land resources.The study area in this research,the middle reaches of Shule River Watershed in Gansu,belongs to a typical area with dramatic exploitation and use of water and land resources in the arid area of Northwest China.Yumen City is a resource-exhausted city.Combined with the integrated technology of ecological quantity analytical method and GIS technology through ArcGIS and Fragstats,based on the MSS images in 1976,TM images in 1989 and 2010,and ETM+ images in 2000,this paper analyzed the changes of land use/cover and landscape pattern in Yumen County from 1976 to 2010.The conclusions are as follows.(1) The trend of LUCC is that the area of farmland increased obviously,and the areas of grassland and glacier decreased.The area of sandy land reduced at first and then expanded.Its area was the smallest in 2000 and increased in 2010.The major patterns of land use change were the conversions of grassland and Gobi to farmland,farmland to construction land,and grassland to Gobi.Land use change underwent a process of slow change—tremendous change—obvious change.(2) Landscape change was also obvious in the decades.Totally,landscape density increased,the largest path index expanded at first and then decreased,the weight area index increased and the shape of landscape became irregular.The shortest distances decreased,and the patch became more complex.Diversity of landscape and the Interspersion Juxtaposition Index decreased at first and then increased.The degree of diversity landscape and fragmentation increase also shows that the land uses became more complex.(3) Driving force analysis shows that the agricultural population growth and economic development are the most direct driving force of land use/cover changes in Yumen City.Climatic factors and policy factors have also affected land use change in the study area.
  • Earth Surface Processes
    GE Ying, LU Feng, WU Ye
    2012, 31(9): 1640-1651. https://doi.org/10.11821/yj2012090010
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    Numerous literature shows that gentrification can not only improve the living environment,but also cause some social problems.In the background of consumer utility and developer income,this paper uses the Smith's rent gap theory combined with Nash equilibrium to construct a multi-agent system,and simulates the evolution of gentrification.The results show,firstly,in the assumption of utility maximization,the increase of real income would reduce the probability of gentrification occurrence,leading to narrowing the gap between the rich and the poor.Secondly,in the assumption of profit maximization,the evolution of gentrification depends on the amount of capital invested by developers.However,if it exceeds a threshold value,the extent of gentrification would stop increasing.Thirdly,the evolution of gentrification is associated with the developers' entrance threshold.The higher threshold of developers' entrance implies that developers can make higher returns in the inner-city housing market.As a result,it may raise the sale price of inner-city land to a certain degree and the frequency of gentrification and degentrification.
  • Earth Surface Processes
    YANG Kui-qi, WANG Ying-hong, ZHANG Shao-liang, ZHAO Qing
    2012, 31(9): 1652-1660. https://doi.org/10.11821/yj2012090011
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    Taking 33 cities from different regions and categories in China as research objects,this essay carries out land price curve regression analysis to simulate their land price density gradient.Then some coefficients of density gradient curve of urban commercial and residential land price are obtained.According to these coefficients,the phenomenon of Chinese urban land price density curves adapting to the normal rules of market economic countries is observed through analysis,which indicates that the city land price can reflect the true value of land,the main method of allocation of land resource in China through 30 years of marketing reform.Moreover,the conclusion that land price density gradients have different categories in China has been drawn based on clustering analysis of commercial and residential curve curvature.According to the commercial land price curve curvature and residential land price curvature,the cities in China except multi-center cities such as Beijing and Shanghai,are identified into four types.Every type of city is corresponding separately to different levels of development,city capacity,economic scale and parameters of land price curvature.So through analyzing land price curvature,we can reveal different city land pricing characteristics and its phase of development.By comparing land price density gradient parameters of the three regions in China,namely eastern China,central China and western China,this paper presents the spatial distribution of city land prices in different regions.The developed and densely populated eastern China has the maximum average of city center land price,minimum average of curve curvature,and biggest standard deviation of city center land price.With the moderately prosperous economy and medium-density population,central China has the minimum average of curvature,but the minimum average of city center land price and smallest center land price standard deviation.As for western China,its average city center land price and center land price standard deviation are at an average level,its averages of curvature and curvature standard deviation are maximum,although it has the most sparsely population.
  • Earth Surface Processes
    LI Tao, CAO Xiao-shu, HUANG Xiao-yan
    2012, 31(9): 1661-1672. https://doi.org/10.11821/yj2012090012
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    Based on the road and railway network data of 1988,1998 and 2008 in the Pearl River Delta,supported by the GIS software,this paper examines the spatial structure and evolution of major cities' accessibility in this region,and quantitatively analyzes the relationship between road and railway accessibility and population change using GAM models.The results are shown as follows.During the study periods,road accessibility of Guangzhou-Dongguan-Shenzhen line is the highest,gradually decreasing from the center to the surroundings.However,the spatial structure of railway accessibility has changed little,Guangzhou-Foshan areas are the center with the highest accessibility,and the accessibility decreases from the center to the surroundings.Evolution of land transport network in the Pearl River Delta is mainly affected by road network,and rail transport network plays a minor role in land network.There are great differences of accessibility improvement in the two research stages that demonstrate diminishing effects,and the accessibility improvement in the first stage(1988-1998) is more outstanding than that in the second stage(1998-2008).The relationship between road-railway traffic and population change is different,and roads have significant effect on population change,with its contribution rate with population change being 11.56%,48.07%,and 44.92% in the three periods,respectively.The relationship between railway and population change was weak,but after 1990,with the railway network expanded and the standard of railway transport service improved,its relationship with population change has gradually strengthened.
  • Earth Surface Processes
    WAN Lu-he, ZHANG Qian, CHEN Xiao-hong
    2012, 31(9): 1673-1684. https://doi.org/10.11821/yj2012090013
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    According to clustering analysis and variance analysis by using the method of screen plot,this paper takes the Ha-Da-Qi Industrial Corridor as an example to study its development,and establishes an evaluation index system including two big systems of economic development and environment.Based on this,it constructs a vulnerability evaluation model and grading standards,and evaluates the environmental and economic coordination development system for three cities of Harbin,Daqing and Qiqihar.The results show that:(1) the index system construction method is a good way to solve the problems about information overlapping and screened indexes' one-sidedness in selection of the indexes;(2) the comprehensive vulnerability of economy-environment coordinated development system in the three cities,in general,is transiting gradually from severe fragile state to mild one;(3) in 2007,the main index of vulnerability restricting economy-environment coordinated development is comprehensive ecological improvement index for Harbin and environment pollution index for Daqing and Qiqihar.
  • Earth Surface Processes
    LIU Wang-bao, YAN Xiao-pei, XIE Li-juan
    2012, 31(9): 1685-1696. https://doi.org/10.11821/yj2012090014
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    Chinese cities have been experiencing the special transitional period from the planned economy based on national/collective economy to market economy based on market regulation with the large-scale restructuring of urban residents' employment-residence spatial structure.Based on the household social surveys of 2001,2005 and 2010,residential and employment mobility and their spatial changes were discussed and impact of employment and residential mobility on urban social spatial restructuring was summarized in this paper.Since the implementation of reform and opening up policies,the rate of urban residents' employment and residential mobility has been increasing fast and led to large-scale social spatial restructuring.There are great regional differences for the rate of residential and employment mobility with the characteristics that the residents in suburbs have a higher rate of mobility,while the residents in inner core have a lower rate of mobility.It is apparent that urban residents prefer to choose the residential or employment location near the former residential or employment location during the process of residential or employment location mobility.Local governments should provide guidance to the choice of residential and employment location to reduce the extent of residential spatial differentiation and spatial excessive separation of employment-residence through adopting the means of urban planning,the employment system reform and housing system reform and other means to strengthen macro-control.
  • Earth Surface Processes
    YANG Ren, LIU Yan-sui, CHEN Yang-fen
    2012, 31(9): 1697-1706. https://doi.org/10.11821/yj2012090015
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    In order to offer a scientific and reasonable recommendation for rural hollowing consolidation,the regional differences of rural hollowing should be researched in China.In this paper,the index system for evaluating rural hollowing degree was constructed with the data related to land use,socio-economic factors,natural elements in each county.The regional differences of rural hollowing and were examined by sub-systems analysis and system-level evaluation methods.The results were shown as follows.There are three dominant factors affecting rural hollowing,i.e.,the extensive degree of the rural residential land use,the effective transferring degree of population,and the economic development degree.The regional difference of rural hollowing was significant.High-value regions of rural hollowing were mainly found near northern borders and in eastern coastal counties of China.Meanwhile,the rural hollowing was more prominent in the area of Hunan and Hubei and traditional agricultural regions in Central China.Low rural hollowing is mainly found in south Xinjiang,Qinghai-Tibet Plateau,and mountainous regions of Southwest China,showing a pattern of spatial agglomeration.The rural hollowing areas are divided into 10 big regions and 47 sub-regions,including Xinjiang Region with low rural hollowing at stable economic development level,Qinghai-Tibet Plateau Region with low rural hollowing at economic backward level,Huang-Huai-Hai Plain Region with moderate rural hollowing at stable economic development level.In the future,the rural hollowing counties will be renovated based on the theories on restructuring of industry,space and organization.
  • Earth Surface Processes
    DAI Guang-quan, LIANG Chun-ding, CHEN Xin
    2012, 31(9): 1707-1721. https://doi.org/10.11821/yj2012090016
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    Place attachment is a hot topic in place study which is defined as an individual's cognitive or emotional connection.However,place attachment study is little related to event venues.The present studies treat events as an attribute of event host community(destination) to conduct research on the place attachment between people and the destinations,but little concerns about event venues themselves.As an inductive qualitative method,grounded theory is appropriate for situations where there is no pre-existing theory.This study considers that little theory existed related place attachment to event venues;and grounded theory is an appropriate methodological tool.Taking the International Horticultural Exposition,2011,Xi'an(Expo 2011 Xi'an China) and China Import and Export Fair Complex as cases,this paper collects first-hand data by observation and interviewing to analyse event-goers' behaviors,attitudes and emotions.Refining and concluding the dimensions of event place attachment based on grounded theory through three analytic procedures,i.e.,open coding,axial coding and selective coding,this study contracts a conceptual analytic model of place attachment in event venue which has four dimensions: person,society,place and event.Finally,the paper compares the differences of place attachment between Festival & Special Event Venue(FSEV) and Convention & Exhibition Complex(CEC) based on the four-dimension model.The results are shown as follows.Event-goers in FSEV regard themselves as "recreationists",and FSEV is characterized by "rooting venue" which is considered as a "recreation place",event-goers are inclined to show an emotional bonding with the event place;while event-goers in CEC regard themselves as "commuters",CEC is featured by "tooling venue" which is considered as a "consumption place" to event-goer,and functional bonding is more significant than emotional bonding for event-goers attached to the event venues.The difference of place attachment between FSEV and CEC is consistent with the difference of the nature of FSE as leisure/recreation events and CE as business/commercial events.
  • Earth Surface Processes
    PENG Yong-xiang, CAO Xiao-shu, WU Cheng-ji
    2012, 31(9): 1722-1735. https://doi.org/10.11821/yj2012090017
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    Resources and tourists constitute basic contradiction and man-land relationship in tourism activities.Based on this,from the perspective of emphasizing tourism resources and tourists,and considering the current development status quo of domestic geoparks,this paper put forward and studied the "tourists benefits" of geoparks.By dissecting the essence of human tourism phenomenon,it is not difficult to find that within the scope of tourism gains,tourists benefits make an essential distinction between tourism and other human activities;it can not only fully embody the essence of tourism-promoting human development,but also is the major concern and the ultimate pursuit of tours in geoparks and all other scenic areas and thus should have core impact on tourist loyalty or behavior intention.Therefore,taking Mt.Yuntai as an example,which has achieved great prosperity in recent years because of the global geopark building,the corresponding positive and negative tests analysis of structural equation model(SEM) are developed with 273 samples data.The results indicate that tourists benefits have stronger positive effects on tourists satisfaction as a whole than the other general sustainment factors such as service,facilities and infrastructure,and environment in geoparks.The former has an direct effect coefficient of 0.75,but the latter only 0.36.Therefore,for geoparks tourism,tourists benefits can be considered as the important index of its core impact.While the tourists attribute variables such as gender,education,occupation,tourist-generating region,age group,individual's needs,basically make no much difference to tourists benefits.This implies the intrinsic stability of total benefits.Research also proves that geoparks in China have had certain special effects on tourists and tourism market.