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  1. 241

    Ecological sensitivity analysis of the Chengdu–Chongqing urban agglomeration toward the Yangtze river economic belt in China by Meicen Chen, Ling Wang

    Published 2025-07-01
    “…Taking the CCUA as the study area, this study constructed an ecological sensitivity evaluation index system for the CCUA, comprising six criterion layers: driving force, pressure, state, impact, response, and management, using the DPSIRM model. The spatial characteristics of the ecological sensitivity of the CCUA were also analyzed in-depth by establishing the Hierarchical Analysis method (AHP)-Ordered Weighted Average Arithmetic (OWA) weight distribution model. …”
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  2. 242
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    MODERN MOVEMENTS OF THE CRUST SURFACE IN GORNY ALTAI FROM GPS DATA by V. Yu. Timofeev, D. G. Ardyukov, A. V. Timofeev, E. V. Boiko

    Published 2019-03-01
    “…The fault depth is estimated using the elastic model and the experimental data (change in displacement from 0.30 m to 0.02 m at the distances of 14 km and 84 km from the fault, respectively); it amounts to 8–10 km.The co-seismic deformation field is investigated.In the post-seismic stage (2004–2017), displacements revealedin the epicentral zone show the right-lateral strike-slip along the fault at the rate of 2 mm/yr. …”
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  4. 244

    Knee focal cartilage defect location heat map and local surface morphology characterisation: Insights for focal knee resurfacing implant design by Majid Mohammad Sadeghi, Erkan Aşık, Pieter Emans, Frank Zijta, Nazli Tümer, Gabrielle Tuijthof, Alex Roth

    Published 2025-04-01
    “…Conclusions Characteristics of knee focal cartilage defect properties such as the size, their spatial distribution and local articular cartilage surface morphology offer valuable insights for the design of generic FKRIs. …”
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    Internal response of vegetation growth to degrees of permafrost degradation in Northeast China from 2001 to 2020 by Hong Yang, Yanqiu Xing, Xiaoqing Chang, Jiaqi Wang, Yuanxin Li, Jie Tang, Dejun Wang

    Published 2025-01-01
    “…Based on the top temperature of permafrost (TTOP) model, we simulated the spatial distribution of permafrost in Northeast China (NEC) from 2001 to 2020. …”
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  7. 247
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    SWAT‐Based Hydrological Data Assimilation System (SWAT‐HDAS): Description and Case Application to River Basin‐Scale Hydrological Predictions by Ying Zhang, Jinliang Hou, Juan Gu, Chunlin Huang, Xin Li

    Published 2017-12-01
    “…Abstract This paper presents the development and application of a physically based hydrological data assimilation system (HDAS) using the gridded and parallelized Soil and Water Assessment Tool (SWATGP) distributed hydrological model. This SWAT‐HDAS software integrates remotely sensed data, including the leaf area index (LAI), snow cover fraction, snow water equivalent, soil moisture, and ground‐based observational data (e.g., from discharge and ground sensor networks), with SWATGP and the Parallel Data Assimilation Framework (PDAF) to accurately characterize watershed hydrological states and fluxes. …”
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  9. 249
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    Geomorphology and Hydroclimate Control Regional Urban Expansion by Serena Ceola, Giulia Grandi, Enrico Bertuzzo

    Published 2025-04-01
    “…Here we develop a spatially explicit probabilistic modeling framework to describe observed urban expansion dynamics at a regional scale. …”
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  11. 251

    Probabilistic Seismic Hazard Analysis for Yemen by Rakesh Mohindra, Anand K. S. Nair, Sushil Gupta, Ujjwal Sur, Vladimir Sokolov

    Published 2012-01-01
    “…An updated composite earthquake catalogue has been compiled using the databases from two basic sources and several research publications. The spatial distribution of earthquakes from the catalogue was used to define and characterize the regional earthquake source zones for Yemen. …”
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  12. 252

    Research on Parallel Computing Method for Neutron Transport on Tetrahedral Unstructured Meshes Based on COME by ZHONG Yangyu, ZHANG Tiancheng, ZHOU Xiafeng

    Published 2025-06-01
    “…For the PinCell model, the deviation in keff is 61 pcm, while the hexagonal geometry model shows a deviation of 86 pcm. …”
    Article
  13. 253

    Os acessos fixos à internet no Brasil e suas tecnologias by Marcelo Paiva da Motta

    Published 2012-06-01
    “…We show, both in the access in general and in each of its several technologies, that the internet spatial distribution in the consumption dimension follow the existing economic geography and urban hierarchy. …”
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  14. 254

    Spatiotemporal investigation into water, land, energy, and carbon footprints of broiler and correlations among them in China by Ya-wen Li

    Published 2025-08-01
    “…For spatial distribution, the total footprint is higher in the Southeast, and the unit footprint is mainly influenced by feed conversion rates, energy consumption, and crop cultivation processes. …”
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  15. 255

    Effet des facteurs environnementaux sur la structuration de la flore ligneuse du Karthala (Grande-Comore, Océan indien) by Charahabil Mohamed Mahamoud, Léonard Elie Akpo

    Published 2018-05-01
    “…In this study, a relation between the spatial distribution of species and environmental factors is established. …”
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  16. 256

    Developing PM₂.₅ mitigation solutions based on the analysis of the relationships between PM₂.₅ concentrations and precursor factors: a case study of Hanoi, Vietnam by Long Ta Bui, Binh Quoc Pham, Tho Thi Be Cao

    Published 2025-06-01
    “…To achieve this goal, a new approach has been developed based on the combination of modeling and big data technology, clarifying the relationship between the spatial–temporal distribution of PM2.5 pollution and the emission sources of its precursors. …”
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    Multifractal portrayal of the Swiss population by Carmen Delia Vega Orozco, Jean Golay, Mikhail Kanevski

    Published 2015-03-01
    “…Fractal geometry is a fundamental approach for describing the complex irregularities of the spatial structure of point patterns. The present research characterizes the spatial structure of the Swiss population distribution in the three Swiss geographical regions (Alps, Plateau and Jura) and at the entire country level. …”
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  20. 260

    Historical data analysis and future prediction of lung cancer in Zhejiang province, China by Yang Gao, Mengqi Zhang, Guangyuan Liu, Huiyue Lin, Hong Huang, Hongli Xie

    Published 2025-07-01
    “…The spatial regression model showed that the incidence of lung cancer was negatively correlated with vegetation index, and positively correlated with annual average per capita GDP. …”
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