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地理学报（英文版）
地理学报（英文版）

郑度

双月刊

1009-637X

jgs@igsnrr.ac.cn;SDC-journals@springer-sbm.com

010-64889293

100101

北京安外大屯路甲11号

地理学报（英文版）/Journal Journal of Geographical SciencesCSCDCSTPCD北大核心SCI
查看更多>>《地理学报》英文版主要刊登国际上地理学界前沿性的重大研究成果，对国家建设有较大应用价值的地理学论文。除部分论文是中文版优秀稿件的英译文外，还刊有大量的国外来稿和中外合作完成的资源环境热点问题研究成果。文中附有彩色插图和地图。《地理学报》英文版在国内外的发行量均居中国英文版科技期刊发行量的前列，已被SCIE等国内外主要检索机构收录，一些论文还在国际、国内学术评比中获奖。
正式出版
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    The interannual periodicity of precipitation and its links to the large-scale circulations over the Third Pole

    LIANG LiqiaoLIU QiangLI Jiuyi
    1457-1471页
    查看更多>>摘要：To understand the spatio-temporal variability of precipitation(P)in the Third Pole region(centered on the Tibetan Plateau-TP),it is necessary to quantify the interannual peri-odicity of P and its relationship with large-scale circulations.In this study,Morlet wavelet transform was used to detect significant(p＜0.05)periodic characteristics in P data from me-teorological stations in four climate domains in the Third Pole,and to reveal the major large-scale circulations that triggered the variability of periodic P,in addition to bringing large amounts of water vapour.The wavelet transform results were as follows.(1)Significant quasi-periodicity varied from 2 to 11 years.The high-frequency variability mode(2 to 6 years qua-si-periods)was universal,and the low-frequency variability mode(7 to 11 years quasi-periods)was rare,occurring mainly in the westerlies and Indian monsoon domains.(2)The majority of periods were base periods(53％),followed by two-base periods.Almost all stations in the Third Pole(95％)showed one or two periods.(3)Periodicity was widely detected in the ma-jority of years(84％).(4)The power spectra of P in the four domains were dominated by sta-tistically significant high-frequency oscillations(i.e.,with short periodicity).(5)Large-scale circulations directly and indirectly influenced the periodic P variability in the different domains.The mode of P variability in the different domains was influenced by interactions between large-scale circulation features and not only by the dominant circulation and its control of water vapour transport.The results of this study will contribute to better understanding of the causal mechanisms associated with P variability,which is important for hydrological science and water resource management.
      原文链接:
    • NETL
    • NSTL
    • 万方数据

    Exploring diurnal and seasonal variabilities in surface urban heat island intensity in the Guangdong-Hong Kong-Macao Greater Bay Area

    XU XianjiongWU YaoweiLIN GangteGONG Jianzhou...
    1472-1492页
    查看更多>>摘要：The urban heat island(UHI)is an environmental problem of wide concern because it poses a threat to both the human living environment and the sustainable development of cities.Knowledge of the spatiotemporal characteristics and the driving factors of UHI is es-sential for mitigating their impact.However,current understanding of the UHI in the Guang-dong-Hong Kong-Macao Greater Bay Area(GBA)is inadequate.Combined with data(e.g.,land surface temperature and land use.)acquired from the Google Earth Engine and other sources for the period 2001-2020,this study examined the diurnal and seasonal variabilities,spatial heterogeneities,temporal trends,and drivers of surface UHI intensity(SUHII)in the GBA.The SUHII was calculated based on the urban-rural dichotomy,which has been proven an effective method.The average SUHII was generally 0-2℃,and the SUHII in daytime was generally greater than that at night.The maximum(minimum)SUHII was found in summer(winter);similarly,the largest(smallest)diurnal difference in SUHII was during summer(win-ter).Generally,the Mann-Kendall trend test and the Sen's slope estimator revealed a statis-tically insignificant upward trend in SUHII on all time scales.The influence of driving factors on SUHII was examined using the Geo-Detector model.It was found that the number of con-tinuous impervious pixels had the greatest impact,and that the urban-rural difference in the enhanced vegetation index had the smallest impact,suggesting that anthropogenic heat emissions and urban size are the main influencing factors.Thus,controlling urban expansion and reducing anthropogenic heat generation are effective approaches for alleviating surface UHI.
      原文链接:
    • NETL
    • NSTL
    • 万方数据

    Moving towards synergistic reductions on PM2.5 and CO2 and its mechanism:A case study of Yangtze River Economic Belt,China

    GU BinjieZHAO HaixiaLI XinZHANG Qianqian...
    1493-1512页
    查看更多>>摘要：The Yangtze River Economic Belt(YREB)is a pivotal contributor to China's eco-nomic growth,particularly as the nation undergoes a green transformation.Achieving syner-gistic reductions on pollution and carbon emissions is deemed crucial for this transition.This paper examines the spatial and temporal changes in the synergy of pollution and carbon reduction in the YREB and delves into the underlying mechanisms.Our findings indicate that while the synergy in the YREB is increasing,it manifests disparities across regions,with the lower reaches outperforming the middle and upper ones.Enterprise behavior,government guidance,and regional endowments influence this synergy.Cities in the YREB must strate-gically plan their urban scale,curb population overgrowth,recalibrate their industrial struc-tures,curtail energy consumption,and enhance policy efficacy.Distinct regions should priori-tize various objectives:the lower reaches should hasten scientific advancements and tech-nological innovations;the middle reaches should foster innovation and industrial upgrades;and the upper reaches should prioritize rural and urban land intensification.
      原文链接:
    • NETL
    • NSTL
    • 万方数据

    Advancing flood susceptibility modeling using stacking ensemble machine learning:A multi-model approach

    YANG HuilinYAO RuiDONG LinyaoSUN Peng...
    1513-1536页
    查看更多>>摘要：Flood susceptibility modeling is crucial for rapid flood forecasting,disaster reduction strategies,evacuation planning,and decision-making.Machine learning(ML)models have proven to be effective tools for assessing flood susceptibility.However,most previous studies have focused on individual models or comparative performance,underscoring the unique strengths and weaknesses of each model.In this study,we propose a stacking ensemble learning algorithm that harnesses the strengths of a diverse range of machine learning mod-els.The findings reveal the following:(1)The stacking ensemble learning,using RF-XGB-CB-LR model,significantly enhances flood susceptibility simulation.(2)In addition to rainfall,key flood drivers in the study area include NDVI,and impervious surfaces.Over 40％of the study area,primarily in the northeast and southeast,exhibits high flood susceptibility,with higher risks for populations compared to cropland.(3)In the northeast of the study area,heavy precipitation,low terrain,and NDVI values are key indicators contributing to high flood susceptibility,while long-duration precipitation,mountainous topography,and upper reach vegetation are the main drivers in the southeast.This study underscores the effectiveness of ML,particularly ensemble learning,in flood modeling.It identifies vulnerable areas and con-tributes to improved flood risk management.
      原文链接:
    • NETL
    • NSTL
    • 万方数据

    Assessment of hydraulic performance changes of Dongting Lake after the Three Gorges Reservoir impoundment by a novel semi-empirical approach

    SUN ZhaohuaLI ZhiqingCHEN LiFAN Jiewei...
    1537-1557页
    查看更多>>摘要：Floodplain lakes are important water storage areas in lowland regions that often undergo geomorphologic evolution,and timely topographic data are generally unavailable.In this study,to assess the impacts of lakebed deformation on hydraulic performance in Dong-ting Lake,a set of semi-empirical methods was proposed to establish performance graphs(PGs)using only hydrological data.These methods were used to evaluate the changes in water level,storage capacity,and flood detention ability in Dongting Lake caused by topo-graphic adjustment after the Three Gorges Reservoir impoundment.These methods showed that PGs can effectively simulate the water level and outflow processes of Dongting Lake with Nash-Sutcliffe efficiency coefficients(NSEs)above 0.9.A comparison of the estimated water level and discharge using PGs from different periods suggested that bed erosion in Dongting Lake caused water level decreases of 0.18 m and 0.32 m during the flood and dry seasons,respectively.Because the magnitude of erosion at high elevations in the lake is small,the impacts of bed adjustment on the storage capacity and flood detention ability are not currently significant.This study showed that the hydraulic performance of a floodplain lake can be evaluated independently of topographic data under the condition of no reverse flows or neg-ative water surface slopes.
      原文链接:
    • NETL
    • NSTL
    • 万方数据

    Nonlinear relationship between urban form and transport CO2 emissions:Evidence from Chinese cities based on machine learning

    LI LinnaDENG ZilinHUANG Xiaoyan
    1558-1588页
    查看更多>>摘要：Reducing carbon emissions from the transport sector is essential for realizing the carbon neutrality goal in China.Despite substantial studies on the influence of urban form on transport CO2 emissions,most of them have treated the effects as a linear process,and few have studied their nonlinear relationships.This research focused on 274 Chinese cities in 2019 and applied the gradient-boosting decision tree(GBDT)model to investigate the non-linear effects of four aspects of urban form,including compactness,complexity,scale,and fragmentation,on urban transport CO2 emissions.It was found that urban form contributed 20.48％to per capita transport CO2 emissions(PTCEs),which is less than the contribution of socioeconomic development but more than that of transport infrastructure.The contribution of urban form to total transport CO2 emissions(TCEs)was the lowest,at 14.3％.In particular,the effect of compactness on TCEs was negative within a threshold,while its effect on PTCEs showed an inverted U-shaped relationship.The effect of complexity on PTCEs was positive,and its effect on TCEs was nonlinear.The effect of scale on TCEs and PTCEs was positive within a threshold and negative beyond that threshold.The effect of fragmentation on TCEs was also nonlinear,while its effect on PTCEs was positively linear.These results show the complex effects of the urban form on transport CO2 emissions.Thus,strategies for optimizing urban form and reducing urban transport carbon emissions are recommended for the future.
      原文链接:
    • NETL
    • NSTL
    • 万方数据

    Dynamic transfer and driving mechanisms of the coupling and coordination of agricultural resilience and rural land use efficiency in China

    CHEN XiaohongAN YonglePAN WeiWANG Ying...
    1589-1614页
    查看更多>>摘要：The joint study of agriculture and rural areas is of great significance for safeguard-ing agricultural development,revitalizing rural areas,and enhancing farmers'well-being.This paper aims to assess the spatiotemporal evolution characteristics of the coupling and coor-dination degree of agricultural resilience and rural land use efficiency and their dynamic transfer law and driving mechanisms,based on panel data of 31 provinces(municipalities and autonomous regions)in China from 2010 to 2020.The results showed:(1)Good coupling and coordination of agricultural resilience and rural land use efficiency,with reduced temporal differentiation degrees between regions;(2)Significant spatial autocorrelation between the overall coupling and coordination degrees of agricultural resilience and rural land use effi-ciency,forming cold spot and hot spot spatial patterns in the western and eastern parts,re-spectively,with a central transition area;(3)A spillover effect of the dynamic transfer process,with a manifested specific law as"club convergence","Matthew effect",and progressive de-velopment characteristics;(4)The key roles of the natural,social,economic,and policy in-dicators in the coupling and coordination development process of agricultural resilience and rural land use efficiency.However,the selected indicators showed substantial spatial differ-ences in their influences on the coupling and coordination process between provinces.
      原文链接:
    • NETL
    • NSTL
    • 万方数据

    The evolutionary trajectory of the rural settlements in Southern Jiangsu in the past 20 years:From the perspective of urbanization and land use

    CHEN FeiyuCHEN Cheng
    1615-1635页
    查看更多>>摘要：For a long time,due to lack of accurate data covering large areas,it is difficult to capture the continuous spatial evolutionary trajectory of rural settlements shaped by rapid urbanization and rural land use policies.To fill this gap,based on theoretical analysis this paper systemically detected the changing characteristics of scale,spatial morphology,dis-tribution,and land use pattern of rural settlements in Southern Jiangsu in the past 20 years depending on the data of land resource survey in 2009 and 2019.The study suggests that the total area and per capita size of rural settlements declined by 30％and 2％respectively as a result of rural land consolidation and the influx of enormous immigrants from underdeveloped regions.The spatial density and average shape index dropped by 14％and 44％respectively in the recent decade,indicating an evident trend of decentralization in spatial distribution,and regularization in the spatial morphology.Furthermore,residential land within rural settlements decreased by 33％over the past decade while the land for industry and commercial service steadily increased,demonstrating that the function for manufacturing and diversified services had been strengthened.Considering the emerging issue of the aging population and new business opportunities in rural Southern Jiangsu,rural settlements regeneration might be the focus of future research.
      原文链接:
    • NETL
    • NSTL
    • 万方数据

    Experimental study of population density using an optimized random forest model

    LI LinglingLIU JinsongLI ZhiWEN Peizhang...
    1636-1656页
    查看更多>>摘要：Random forest model is the mainstream research method used to accurately de-scribe the distribution law and impact mechanism of regional population.We took Shijia-zhuang as the research area,with comprehensive zoning based on endowments as the modeling unit,conducted stratified sampling on a hectare grid cell,and systematically carried out incremental selection experiments of population density impact factors,optimizing the population density random forest model throughout the process(zonal modeling,stratified sampling,factor selection,weighted output).The results are as follows:(1)Zonal modeling addresses the issue of confusion in population distribution laws caused by a single model.Sampling on a grid cell not only ensures the quality of training data by avoiding the modifiable areal unit problem(MAUP)but also attempts to mitigate the adverse effects of the ecological fallacy.Stratified sampling ensures the stability of population density label values(target variable)in the training sample.(2)Zonal selection experiments on population density impact factors help identify suitable combinations of factors,leading to a significant improvement in the goodness of fit(R2)of the zonal models.(3)Weighted combination output of the popula-tion density prediction dataset substantially enhances the model's robustness.(4)The popu-lation density dataset exhibits multi-scale superposition characteristics.On a large scale,the population density in plains is higher than that in mountainous areas,while on a small scale,urban areas have higher density compared to rural areas.The optimization scheme for the population density random forest model that we propose offers a unified technical framework for uncovering local population distribution law and the impact mechanisms.
      原文链接:
    • NETL
    • NSTL
    • 万方数据

    Travel behavior resilience:Theory,method,and empirical studies

    HUANG JieWANG Jiaoe
    1657-1674页
    查看更多>>摘要：Resilience studies have long been a focal point in the fields of geography,social science,urban studies,and psychology.Recently,resilience studies from multiple disciplines have scrutinized resilience at an individual scale.As one important behavior in the daily life of human beings,travel behavior is characterized by spatial dependence,spatiotemporal dy-namics,and group heterogeneity.Moreover,how to understand the interaction between travel behavior(or demand)and transportation supply and their dynamics is a fundamental question in transportation studies when transportation systems encounter unexpected disturbances.This paper refines the definition of travel behavior resilience based on fundamental theories from multiple disciplines,including ecology,transportation engineering,and psychology.Ad-ditionally,this paper proposes a conceptual theoretical framework of travel behavior resilience based on the dynamic equilibrium characteristics of transportation supply and demand.In general,travel behavior has three stages of variation,namely,dramatic reduction,rapid growth,and fluctuation recovery,which have helped capture the travel behavior resilience triangle.Then,we construct a corresponding evaluation methodology that is suitable for mul-tiscale and multidimensional perspectives.We emphasize that the evaluation of travel be-havior resilience should be process-oriented with temporal continuity or capture the inflection points of travel behavior.Using multisource big data such as mobile phone signaling data and smart card data,this paper reviews empirical studies on travel behavior resilience,exploring its spatial heterogeneity and group differences.With location-based analysis,we confirm that people show greater travel behavior resilience in places where people engage in various socioeconomic activities.The group-based analysis shows that age and socioeconomic at-tributes of mobility groups significantly affect travel behavior resilience.Travel behavior re-silience can be one pillar,offering geographic perspectives in resilience studies.In the future,the study of travel behavior resilience at multiple scales and from multiple perspectives can explore the spatial heterogeneity of transportation re-equilibrium and travel modal differences,contributing to urban spatial structure studies.Studying travel behavior resilience can provide scientific and technological support for urban management and resilient city construction.
      原文链接:
    • NETL
    • NSTL
    • 万方数据