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    Reconstruction and analysis of annual mean temperature of Wuhan for the 1906-2015 period
    Junhui YAN, Haolong LIU, Quansheng Ge, Jingyun ZHENG, Zhixin HAO, Yimin WANG
    PROGRESS IN GEOGRAPHY    2017, 36 (9): 1176-1183.   DOI: 10.18306/dlkxjz.2017.09.014
    Abstract1217)   HTML5)    PDF (2598KB)(1221)      

    Based on the monthly maximum and minimum temperature data at Wuhan meteorological station in 1906-2015, annual mean temperature during the 110 years was reconstructed and the temporal change was analyzed. The main conclusions are: (1) Annual mean temperature of Wuhan showed multi-decadal variations. Two warm periods were experienced during 1906-1946 and 1994-2015; and between 1947 and 1993, annual mean temperature was relatively low. (2) At multi-decadal temporal scales, annual mean temperature of Wuhan showed several significant warming and cooling trends. The largest warming trends at 30- and 50-year scales were detected during 1980-2009 and 1960-2009, with linear trends amounting to 2.67±0.48 ℃/30a and 2.20±0.50 ℃/50a, respectively. The strongest cooling trends for the same temporal scales were detected for 1928-1957 and 1925-1974, with linear trends being -1.23±0.48 ℃/30a and -1.40±0.35 ℃/50a, respectively. (3) During the 110 years, there existed three abrupt changes in Wuhan annual mean temperature. During the early 1920s and the mid-late 1990s, temperature of Wuhan turned from cold to warm conditions. In the 1940s, the change was to the opposite. (4) Comparing temperature change of Wuhan with global, hemispheric, and China's country scales, the temperatures showed similar temporal evolution, with Wuhan exhibiting greater amplitude of change. The recent pause in global warming was also observed in Wuhan.

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    Cited: CSCD(2)
    Neighborhood relations and the regeneration of social space in large suburban communities: A case study of Huilongguan in Beijing
    Jian FENG, Fangfang WU, Peiling ZHOU
    PROGRESS IN GEOGRAPHY    2017, 36 (3): 367-377.   DOI: 10.18306/dlkxjz.2017.03.013
    Abstract1079)   HTML3)    PDF (858KB)(2401)      

    This article observes the social space established by relationships inside a certain zone via the exploration of neighborhood relationship, analyzes the territoriality and relationality of a community, and discusses the dialectical unification between social space and all other relationships. By random sampling and qualitative interview, the survey investigated the situation of neighborhood acquaintance dropping in, mutual assistance, conflict, and community identity perception. Huilongguan community represents a typical urban neighborhood, characterized by de-familiarization between neighbors and superficial human association. The TIES model constructed on these features and restricted the neighborhood relationship, consists of the factors of Time, Intention, Event, and Space. It is found that as a new community gradually expanding and developing, Huilongguan boasts relatively harmonious relationships and interactions between the residents and a strong community identity perception, which are very special and reflect the return of traditional community features. Through an analysis of the formation process of Huilongguan community, this study examines the establishment and maintaining mechanism of "a new community", which contains five steps based on time sequence. The creation of a real community needs a certain region and various mechanisms and events. The organic unity relationship between residents plays the dominant role. Space provides an indispensable foundation and the relationships meanwhile shape social space. When residents of a community actively participate in various community activities and fight for their rights, and regard the community as their joint homes, good relationships among neighbors and strong sense of community will be formed and the special mosaic social space structure will be produced. New communications technologies produce new community forms—people can cross community boundaries, even reach the global range to build social relations and social groups, which make global area become a large village

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    Cited: CSCD(3)
    Residential spatial differentiation of migrant population within the city: A case study of Shenzhen
    Yichun ZHONG, Jian FENG
    PROGRESS IN GEOGRAPHY    2017, 36 (1): 125-135.   DOI: 10.18306/dlkxjz.2017.01.012
    Abstract1168)   HTML9)    PDF (844KB)(1718)      

    This study divided the migrant population in Shenzhen into three groups based on the sixth census data: inter-city migrants, inter-provincial migrants, and intra-provincial migrants. By calculating location quotient, the proportions of migrants in urban sub-districts were compared within the city. Spatial autocorrelation was used to identify spatial agglomeration, and then a differentiation index was used to characterize the degree of differentiation of migrant population. The ordinary least squares (OLS) model, spatial lag model, and spatial error model were used to analyze and explain the influencing factors of the residential spatial differentiation of migrants, taking the proportion of migrant population as the dependent variable and housing and employment factors as the independent variables. The results show that: (1) The location entropy of the migrant population showed a clear circular structure, with inter-city migrants in Nanshan and Futian Districts in the southwest corner at the center, and inter-provincial and intra-provincial migrants outside. (2) Spatial agglomeration has occurred in the residential distribution of migrant population. Inter-city migrants are distributed around the city administrative center; inter-provincial migrants are concentrated around the commercial center; and intra-provincial migrants are concentrated in sub-districts in Guanwai where industrial parks are concentrated in. (3) The highest degree of residential differentiation was found between the intra-provincial migrants and the population with the hukou (population registration) of Shenzhen. (4) Residential spatial distribution of intra-provincial migrants was significantly affected by housing factors, while inter-provincial migrants was significantly affected by employment factors, and inter-city migrants are affected by both housing and employment factors, but less significantly. The regional characteristics of housing and employment led to the settlement of migrants of all types to specific locations of the city, and thus formed the overall pattern of residential spatial differentiation.

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    Cited: CSCD(7)