地球科学最新文献

{"title":"Influence of Climate Change on Bimodal Cross-Shore Distributions of the Longshore Sediment Transport Rate and Current Velocity on a Dissipative Sandy Beach","authors":"Y. Kuriyama,&nbsp;M. Banno","doi":"10.1029/2024JF007931","DOIUrl":"https://doi.org/10.1029/2024JF007931","url":null,"abstract":"<p>Changes in waves and wind caused by climate change would induce changes in the cross-shore distribution of the longshore sediment transport rate, which would lead to morphological changes on the updrift and downdrift sides of coastal structures. Therefore, the impacts of climate change on the cross-shore distributions of the longshore sediment transport rate and the longshore current velocity, which induces sediment transport, were examined at a sandy beach in Japan using a one-dimensional numerical model and 9-year wave and wind data simulated at 2-hr intervals for the present and future climates. Both the present-climate distributions had northward and southward predominant values near the shore and offshore, respectively, as a result of the combination of the southerly and northerly waves. Under the RCP8.5 scenario, the distributions shifted southward in the nearshore region, even though the mean wave direction did not change. This occurred because the significant wave height of the southerly waves decreased more than that of the northerly waves under this scenario. In the offshore region, northward longshore sediment transport became predominant because the number of large southerly waves increased. The results obtained using the peak wave directions differed from those obtained using the mean wave directions. There was a significant shift in the distributions to the south, and the bimodal distributions became unimodal. Future changes in the distributions can be estimated using 1-day interval data instead of 2-hr interval data with an error of 30% in the nearshore region.</p>","PeriodicalId":15887,"journal":{"name":"Journal of Geophysical Research: Earth Surface","volume":"130 4","pages":""},"PeriodicalIF":3.5,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143741188","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"In Situ Calculation of Spaceflight Magnetometer Coupling Coefficients for Interference Removal Using the Reduction Algorithm for Magnetometer Electromagnetic Noise (RAMEN)","authors":"Alex P. Hoffmann,&nbsp;Mark B. Moldwin","doi":"10.1029/2024EA003914","DOIUrl":"https://doi.org/10.1029/2024EA003914","url":null,"abstract":"<p>Space-based in situ magnetic field measurements are often limited by spacecraft-generated interference, known as stray magnetic fields. These fields, generated by currents from spacecraft subsystems, are frequently several times stronger than the ambient magnetic field signals of interest. To mitigate this, strict magnetic cleanliness, long mechanical booms, and at least two magnetometers are typically necessary to eliminate the spacecraft-generated magnetic interference. When two magnetometers are placed collinearly on a boom, gradiometry can be performed by modeling the spacecraft's field as a dipole and subtracting it from the magnetometer measurements. However, this technique requires careful preflight characterization of the spacecraft's magnetic field to determine the dipole coupling coefficients and sufficient boom length. This process is time-intensive, costly, and prone to error due to the changing nature of a spacecraft magnetic field environment in operation. We propose a novel method for in situ calculation of the gradiometric coupling coefficients, called the Reduction Algorithm for Magnetometer Electromagnetic Noise (RAMEN). RAMEN utilizes single-source point analysis and the time-frequency content of the magnetometer signals to identify stray magnetic field signals and calculate the gradiometric coupling coefficients. Through two Monte Carlo simulations, we demonstrate that the RAMEN gradiometry algorithm matches gradiometry with preflight coupling coefficient estimation. Additionally, we apply the RAMEN algorithm to noisy magnetometer data from the Venus Express spacecraft to demonstrate its use. The RAMEN method enhances the fidelity of spaceborne magnetic field observations using gradiometry and reduces the burden of arduous preflight spacecraft magnetic characterization.</p>","PeriodicalId":54286,"journal":{"name":"Earth and Space Science","volume":"12 4","pages":""},"PeriodicalIF":2.9,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1029/2024EA003914","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143740977","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Complex Dynamic Rupture of an Mw5.8 Intermediate-Depth Earthquake in the Hellenic Slab","authors":"F. Gallovič,&nbsp;V. Plicka,&nbsp;Ľ. Valentová,&nbsp;E. Sokos,&nbsp;J. Zahradník","doi":"10.1029/2024GL113649","DOIUrl":"https://doi.org/10.1029/2024GL113649","url":null,"abstract":"<p>Earthquakes in the Hellenic slab, traced by tomography down to 1,200 km, occur at depths &lt;200 km with enigmatic origin and dynamics. We study a 2014 Mw5.8 left-lateral strike-slip earthquake originating at a depth of ∼90 km under arc-parallel compression, featuring a small implosive component of the moment tensor. We use well-recorded aftershock as an empirical Green's function to infer reliable apparent source time functions up to 2 Hz. They exhibit multiple peaks with pronounced directivity and serve as input data to infer kinematic and dynamic rupture evolution in Bayesian source inversion. Our finite-fault kinematic and dynamic source models consistently reveal episodic behavior with two prominent asperities, short rupture duration, unilateral propagation, and locally high rupture speed and stress drop. We speculate the event was triggered and driven by dehydration and stress transfer associated with shear deformation and rock compaction.</p>","PeriodicalId":12523,"journal":{"name":"Geophysical Research Letters","volume":"52 7","pages":""},"PeriodicalIF":4.6,"publicationDate":"2025-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1029/2024GL113649","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143741172","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Does Wind-Driven Mixing Sustain Post-Bloom New Production in the Barents Sea?","authors":"J. S. Braun,&nbsp;J. P. Rodgers,&nbsp;T. Brand,&nbsp;K. Davidson,&nbsp;S. F. Henley,&nbsp;M. Inall,&nbsp;M. Porter,&nbsp;E. J. Venables,&nbsp;F. Cottier","doi":"10.1029/2024JC021081","DOIUrl":"https://doi.org/10.1029/2024JC021081","url":null,"abstract":"<p>Wind-driven mixing is one of the primary factors likely to regulate changes in primary production in the future Arctic Ocean with reduced sea ice coverage. Quantifying this effect requires an understanding of whether this mechanism will resupply nutrients to surface waters during the post-bloom season. We therefore investigated the role of wind-driven mixing events in initiating new production in the Barents Sea by combining measurements of turbulence, nitrate fluxes, and proportional uptake of nitrate during primary production. We calculated the resupply of nitrate, and the relationship between nitracline and wind-driven mixing depths was evaluated to investigate mechanisms for resupply of nitrate over the post-bloom summer. In the weakly stratified waters of the central Barents Sea, wind-driven resupply of nitrate to the surface was not found at the time of sampling. Nor was such resupply predicted based on empirical modeling of wind-driven mixing depth and the depth of the upper boundary of the nitracline for the post-bloom summer season. In the strongly stratified waters of the northern Barents Sea, new production was low at the time of sampling, but modeling suggests that wind-driven nitrate resupply is likely to occur during the post-bloom summer, differing from previous findings. The highest nitrate fluxes were found over the shelf slope north of Svalbard, which were 10 times higher than in the central Barents Sea, supporting 47% of the net primary productivity, accounted for as new production. Our model suggested that wind-driven nitrate resupply is to be expected for the shelf slope during the post-bloom season.</p>","PeriodicalId":54340,"journal":{"name":"Journal of Geophysical Research-Oceans","volume":"130 4","pages":""},"PeriodicalIF":3.3,"publicationDate":"2025-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1029/2024JC021081","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143741566","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Blending daily satellite precipitation product and rain gauges using stacking ensemble machine learning with the consideration of spatial heterogeneity","authors":"Chuanfa Chen,&nbsp;Jinda Hao,&nbsp;Shufan Yang,&nbsp;Yanyan Li","doi":"10.1016/j.jhydrol.2025.133223","DOIUrl":"10.1016/j.jhydrol.2025.133223","url":null,"abstract":"<div><div>Blending satellite precipitation products (SPPs) with rain gauge observations through machine learning (ML)-based methods offers a proficient means of achieving high-accuracy precipitation data. However, traditional ML methods often neglect the spatial heterogeneity of precipitation across the study area, and the unique strengths of individual ML models remain underutilized. To address these challenges, this paper proposes a stacking ensemble learning approach that accounts for spatial heterogeneity for blending SPPs with rain gauge data to produce highly accurate precipitation estimates. Specifically, the study area is segmented into several homogeneous zones to mitigate spatial heterogeneity, with each grid cell within these zones assigned a uniform identifier (ID). Furthermore, a stacking ensemble ML framework which takes the ID as an input feature is developed to merge SPPs and rain gauge observations. To evaluate the performance of our proposed method, we blended daily IMERG data and rain gauge observations spanning from 2016 to 2020 across the Chinese mainland, benchmarking it against seven ML methods and the original IMERG data. The experimental results provide several key insights: (i) Data-driven adaptive clustering emerges as an efficient tool for addressing the challenge of spatial heterogeneity in high-quality precipitation estimation. (ii) Across multiple temporal scales, the proposed method outperforms the classical ML-based methods. Notably, at the daily scale, it improves upon the classical approaches by at least 2.4 % in Mean Absolute Error (MAE), 0.76 % in Root Mean Square Error (RMSE), 1.4 % in Correlation Coefficient (CC), and 1.4 % in Kling-Gupta Efficiency (KGE). Furthermore, at the monthly and seasonal scales, it reduces MAE by at least 2.3 % and 2.8 %, respectively, and enhances KGE by at least 0.9 % and 1.1 %. (iii) The spatial distribution of precipitation estimated by the proposed method aligns more closely with rain gauge observations compared to the classical methods. (iv) The ID feature plays a crucial role in precipitation estimation, ranking first and second in terms of feature importance for 39.6 % and 33.9 % of days, respectively, over the five-year period. (v) The proposed method generates positive incremental values at 69 % of rain gauge stations, demonstrating greater added value compared to the classical methods. Overall, the proposed method can be regarded as an effective tool for generating high-accuracy daily precipitation products.</div></div>","PeriodicalId":362,"journal":{"name":"Journal of Hydrology","volume":"658 ","pages":"Article 133223"},"PeriodicalIF":5.9,"publicationDate":"2025-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143748108","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Influence of Carbon Dioxide on Micro-Cracking in Calcite: An Atomistic Scale Investigation","authors":"Fanyu Wu,&nbsp;Manman Hu","doi":"10.1029/2024JB030896","DOIUrl":"https://doi.org/10.1029/2024JB030896","url":null,"abstract":"&lt;p&gt;In candidate formations for geological Carbon Capture and Storage (CCS), carbonate minerals (e.g., calcite) are ubiquitously presented. The dynamic process of chemically induced alteration on carbonate-rich reservoirs due to the injection of supercritical &lt;span&gt;&lt;/span&gt;&lt;math&gt;\u0000 &lt;semantics&gt;\u0000 &lt;mrow&gt;\u0000 &lt;msub&gt;\u0000 &lt;mtext&gt;CO&lt;/mtext&gt;\u0000 &lt;mn&gt;2&lt;/mn&gt;\u0000 &lt;/msub&gt;\u0000 &lt;/mrow&gt;\u0000 &lt;annotation&gt; ${text{CO}}_{2}$&lt;/annotation&gt;\u0000 &lt;/semantics&gt;&lt;/math&gt; holds paramount importance for achieving an economic injectivity and structural integrity of the system. How carbonate rocks undergo deterioration and particularly how microcracks develop in the presence of carbon dioxide remain largely unknown. Here we employ a powerful tool of reactive force field (ReaxFF) molecular dynamics (MD) simulation, investigating into the impact of representative &lt;span&gt;&lt;/span&gt;&lt;math&gt;\u0000 &lt;semantics&gt;\u0000 &lt;mrow&gt;\u0000 &lt;msub&gt;\u0000 &lt;mtext&gt;CO&lt;/mtext&gt;\u0000 &lt;mn&gt;2&lt;/mn&gt;\u0000 &lt;/msub&gt;\u0000 &lt;/mrow&gt;\u0000 &lt;annotation&gt; ${text{CO}}_{2}$&lt;/annotation&gt;\u0000 &lt;/semantics&gt;&lt;/math&gt; environments on Mode I tensile crack propagation in calcite at micro-scale. Our simulation results demonstrate that (a) both dry and wet &lt;span&gt;&lt;/span&gt;&lt;math&gt;\u0000 &lt;semantics&gt;\u0000 &lt;mrow&gt;\u0000 &lt;msub&gt;\u0000 &lt;mtext&gt;CO&lt;/mtext&gt;\u0000 &lt;mn&gt;2&lt;/mn&gt;\u0000 &lt;/msub&gt;\u0000 &lt;/mrow&gt;\u0000 &lt;annotation&gt; ${text{CO}}_{2}$&lt;/annotation&gt;\u0000 &lt;/semantics&gt;&lt;/math&gt; environments favor the tensile crack propagation by lowering the fracture toughness of the pre-existing crack; (b) the wet &lt;span&gt;&lt;/span&gt;&lt;math&gt;\u0000 &lt;semantics&gt;\u0000 &lt;mrow&gt;\u0000 &lt;msub&gt;\u0000 &lt;mtext&gt;CO&lt;/mtext&gt;\u0000 &lt;mn&gt;2&lt;/mn&gt;\u0000 &lt;/msub&gt;\u0000 &lt;/mrow&gt;\u0000 &lt;annotation&gt; ${text{CO}}_{2}$&lt;/annotation&gt;\u0000 &lt;/semantics&gt;&lt;/math&gt; environment promotes the growth velocity of the subcritical crack compared to the dry &lt;span&gt;&lt;/span&gt;&lt;math&gt;\u0000 &lt;semantics&gt;\u0000 &lt;mrow&gt;\u0000 &lt;msub&gt;\u0000 &lt;mtext&gt;CO&lt;/mtext&gt;\u0000 &lt;mn&gt;2&lt;/mn&gt;\u0000 &lt;/msub&gt;\u0000 &lt;/mrow&gt;\u0000 &lt;annotation&gt; ${text{CO}}_{2}$&lt;/annotation&gt;\u0000 &lt;/semantics&gt;&lt;/math&gt; environment, under the same mechanical loading condition; (c) the interaction between the stressed crack and the &lt;span&gt;&lt;/span&gt;&lt;math&gt;\u0000 &lt;semantics&gt;\u0000 &lt;mrow&gt;\u0000 &lt;msub&gt;\u0000 &lt;mtext&gt;CO&lt;/mtext&gt;\u0000 &lt;mn&gt;2&lt;/mn&gt;\u0000 &lt;/msub&gt;\u0000 &lt;/mrow&gt;\u0000 ","PeriodicalId":15864,"journal":{"name":"Journal of Geophysical Research: Solid Earth","volume":"130 4","pages":""},"PeriodicalIF":3.9,"publicationDate":"2025-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1029/2024JB030896","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143741615","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Laboratory Observations of Hall Magnetic Field in Electron-Only Magnetic Reconnection With a Guide Field","authors":"Fa Yang,&nbsp;Quanming Lu,&nbsp;Qiaofeng Zhang,&nbsp;Jinlin Xie,&nbsp;Xinliang Gao,&nbsp;Yangguang Ke,&nbsp;Lei Tang,&nbsp;Shihang Hu,&nbsp;Yukang Shu,&nbsp;Youran Liu,&nbsp;Longlong Sang,&nbsp;San Lu,&nbsp;Rongsheng Wang,&nbsp;Weixing Ding","doi":"10.1029/2024GL114151","DOIUrl":"https://doi.org/10.1029/2024GL114151","url":null,"abstract":"<p>Recently, electron-only reconnection, in which there is no obvious ion bulk flow and ion heating, has been pervasively observed in the Earth's magnetosphere. In this Letter, we realize electron-only reconnection with a guide field in the Keda Linear Magnetized Plasma (KLMP) device. By measuring the magnetic field, we identify unambiguously a distorted quadrupolar structure of the magnetic field in the out-of-plane direction. At the same time, electrons are obviously heated in the current sheet with the half-width about 0.8 electron inertial length. The maximum velocity of the estimated electron flow in the reconnection plane is about eight Alfvén speed.</p>","PeriodicalId":12523,"journal":{"name":"Geophysical Research Letters","volume":"52 7","pages":""},"PeriodicalIF":4.6,"publicationDate":"2025-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1029/2024GL114151","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143741173","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Arctic Beaufort Gyre in CMIP6 Models: Present and Future","authors":"Marylou Athanase,&nbsp;Raphael Köhler,&nbsp;Céline Heuzé,&nbsp;Xavier Lévine,&nbsp;Ryan Williams","doi":"10.1029/2024JC021873","DOIUrl":"https://doi.org/10.1029/2024JC021873","url":null,"abstract":"<p>The Beaufort Gyre (BG) is an important feature of the Arctic Ocean. By accumulating or releasing freshwater, it influences ocean properties both within the Arctic and as far as the North Atlantic. Yet, its future remains uncertain: the gyre could strengthen as sea ice declines and allows increased wind stress on the ocean, or weaken along with the Beaufort High (BH) pressure system. Here, we provide a first evaluation of the BG in historical and climate-change simulations from 27 available global climate models. We find that the vast majority of models overestimate the gyre area, strength, and northward extent. After discarding the models with too inaccurate a gyre and its drivers—namely, the sea ice cover and BH—we quantify changes in the BG under two emission scenarios: the intermediate SSP2-4.5 and the high-warming SSP5-8.5. By the end of the 21st century, most models simulate a significant decline or even disappearance of the BG, especially under SSP5–8.5. We show that this decline is mainly driven by a simulated future weakening of the BH, whose influence on the BG variations is enhanced by the transition to a thin-ice Arctic. The simulated gyre decline is associated with an expected decrease in freshwater storage, with reduced salinity contrasts between the gyre and both Arctic subsurface waters and freshwater outflow regions. While model biases and unresolved processes remain, such possible stratification changes could shift the Atlantic-Arctic meridional overturning circulation northward.</p>","PeriodicalId":54340,"journal":{"name":"Journal of Geophysical Research-Oceans","volume":"130 4","pages":""},"PeriodicalIF":3.3,"publicationDate":"2025-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1029/2024JC021873","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143741567","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Winter discharge fluctuations due to ice formation in a Swiss alpine catchment","authors":"Nina C. Nagel ,&nbsp;Michael Margreth ,&nbsp;Florian Lustenberger ,&nbsp;David F. Vetsch","doi":"10.1016/j.ejrh.2025.102352","DOIUrl":"10.1016/j.ejrh.2025.102352","url":null,"abstract":"<div><h3>Study region</h3><div>Alpine catchment of the Dischmà stream in canton of Graubünden, Switzerland</div></div><div><h3>Study focus</h3><div>The formation, presence, and melting of ice in alpine streams during winter significantly impacts the dynamics of discharge and ecosystems. This study observed the discharges using wildlife cameras and employed temperature measurements at potential sites in the Dischmà stream to better understand the controls of ice formation and its impact on winter discharge fluctuations. A new algorithm was developed for detection of icing events in the stream and quantification of water retention volumes based on discharge and temperature data whereas the observations were used as ground truth for verification and calibration of the algorithm.</div></div><div><h3>New hydrological insights for the region</h3><div>The discharge data show distinct daily fluctuations ascribed to formation of nocturnal ice, which temporarily impedes or reduces water flow. The specific morphology at the pools with moderate water depth, and step-pool formation facilitated the formation of anchor ice, especially during freezing nights. The proposed event analysis contributes to bridging a gap in hydrological literature for alpine studies, by identifying previously neglected winter stream dynamics, including temporary ice formations. The suggested algorithm can serve as basis for the analysis of such phenomena in alpine streams, offering insights that support data cleaning efforts and further investigations into winter discharge fluctuations, discharge recession, and their ecological impacts.</div></div>","PeriodicalId":48620,"journal":{"name":"Journal of Hydrology-Regional Studies","volume":"59 ","pages":"Article 102352"},"PeriodicalIF":4.7,"publicationDate":"2025-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143748317","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"How spatial fixity of individual daily activities evolves in the long-term: A life course and multi-scale behavior explanation","authors":"Junwen Lu ,&nbsp;Suhong Zhou ,&nbsp;Yang Xu","doi":"10.1016/j.apgeog.2025.103609","DOIUrl":"10.1016/j.apgeog.2025.103609","url":null,"abstract":"<div><div>Spatial fixity, measuring the extent to which individual activities are confined to specific locations, is central to geographical studies on daily activities. Although recent studies have identified factors contributing to the variability of daily activity spatial fixity, there is a dearth of longitudinal observations to understand its evolution over extended timeframes. Addressing this research gap, the study introduces a framework that integrates multi-scale individual behaviors to investigate the long-term evolution of peoples daily activity spatial fixity, offering insights from a life course perspective. Using mobile phone data of 290,679 individuals across different age groups, the study assessed changes in their activity patterns from October 2019 to October 2020 and from October 2019 to May 2023. Three major findings were derived from Difference-in-Difference modeling and behavior grouping: (1) Individual daily activity spatial fixity exhibit a U-shaped distribution with age, revealing the 30–34 age group with the lowest fixity. Consistent levels of spatial fixity are observed as time progresses and individuals transition into specific age stages. (2) The multi-scale behavior framework elucidates over 40 % of the variation in daily activity spatial fixity over one and four-year intervals, and the result highlights the significance of integrating higher-scale behavioral dynamics over extended period. (3) Distinct behavioral change trends before and after the age of 35 result in the U-shaped curve of spatial fixity evolution. The study advances our comprehension of the long-term dynamics of human mobility. The findings provide valuable insights for enhancing individual behavior modeling, addressing delays in demographic data collection, and informing targeted social policies.</div></div>","PeriodicalId":48396,"journal":{"name":"Applied Geography","volume":"178 ","pages":"Article 103609"},"PeriodicalIF":4.0,"publicationDate":"2025-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143739194","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}