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  1. 281

    Two-Layer Optimization Algorithm for Multi-UAV Conflict Resolution considering Individual Fairness by Xusheng Gan, Honghong Zhang, Yarong Wu, Jingjuan Sun, Guhao Zhao, Fugen Lin

    Published 2021-01-01
    “…In order to solve the unfair individual payment costs problem in the low-altitude unmanned aerial vehicle (UAV) conflict resolution process, a multi-UAV conflict resolution algorithm based on the cooperative game concept “coalition complaint value” is proposed. …”
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  2. 282

    Geomagnetic Energy Approach to Space Debris Deorbiting in a Low Earth Orbit by Guanhua Feng, Wenhao Li, Heng Zhang

    Published 2019-01-01
    “…The method can be applied to the regions of the LEO below 1000 km with different altitudes/inclinations and eccentricities, and with existent magnetorquer technology, only several days of preparation is required for about 104 m·kg mechanism-scale-debris-mass deorbiting, which can be used for deorbiting missions in debris-intensive areas (altitude≤1000 km); without consideration of external effects on the geomagnetic field distribution, it has the same deorbiting capability with that of the LEO below 1000 km when the altitude is over 1000 km. …”
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  3. 283
  4. 284

    Reanalysis of 500 hP patterns generating temperatures above 50 ° C in West Asia by Hadi Zerafati, Yousef Ghavidel, Manuchehr Farajzadeh

    Published 2024-03-01
    “…It can be said that all altitude patterns of geopotential meters (HGT) at the level of 500 hp show that the main cause of occurrence and distribution of temperatures above 50°c in West Asia are high-altitude (high-pressure) subtropical West Asia, which due to the location of its high-pressure core on the Zagros and sometimes the Arabian Peninsula, it has been referred to as the Zagros or Saudi high-pressure in terms of interest and taste. …”
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  5. 285

    Surface Albedo Variation and Its Influencing Factors over Dongkemadi Glacier, Central Tibetan Plateau by Jie Wang, Yuhuan Cui, Xiaobo He, Jian Zhang, Shijiang Yan

    Published 2015-01-01
    “…The spatial distribution of glacier albedo in winter did not vary with altitude and was determined by terrain shield, whereas, in summer, albedo increased with altitude and was only influenced by terrain shield at accumulation zone. …”
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  6. 286

    Genetic Diversity of Bread Wheat Genotypes Grown in Different Landscapes Using SSR Marker Analysis by Babayeva Sevda, Rustamov Khanbala, Abbasov Mehraj

    Published 2025-01-01
    “…Azerbaijan, a primary gene center, contains a rich diversity of wheat at different altitudes. Studying this diversity is crucial for improving adaptability and resilience to climate change in high altitude regions. …”
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  7. 287

    The spatial relationship and influence mechanism of traditional villages and intangible cultural heritage: a case study of the upper reaches of the Yellow River Basin by Qianming Xue, Yuehao Huang

    Published 2025-02-01
    “…In contrast, ICH shows a “sparse south, dense center, and sparse north” distribution, with a lower degree of imbalance at the provincial level. (2) Although there is generally a high degree of spatial alignment between TVs and ICH, but at the provincial (or autonomous region) level, three types of regional displacements have been identified: high positive displacement, low positive displacement, and high negative displacement. (3) Factors such as altitude, river systems, temperature conditions, regional economy, accessibility, population density, urbanization rate, cultural characteristics, and funding policies significantly influence the spatial distribution of TVs and ICH. urbanization rate has a common influence and explanatory power on the spatial distribution of both TVsand ICH in the YRB, with altitude, financial policies, cultural history, and other factors having secondary influence and explanatory power.These factors are crucial in determining the pathways for their integrated development.…”
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  8. 288

    Prevalence and Risk Factors of Anaplasmosis in Simmental Cattle in the Peruvian Amazon by Hugo Frias, Luis Murga, William Bardales, Vanessa Frias, Segundo Melecio Portocarrero-Villegas, Tatiana Segura Portocarrero, Miguel Arista, José Américo Saucedo-Uriarte

    Published 2024-01-01
    “…The multiple correspondence analysis shows that San Mateo, Puma Marca, Mashuyacu, Primavera, and Los Olivos have a higher prevalence of anaplasmosis, associated with altitude of 1701–2000 m, spray baths and paddock rotation. …”
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  9. 289

    Assessment of Accuracy of COSMIC and KOMPSAT Radio Occultation Temperature and Pressure by Descalzo Karl Philippe A., Macalalad Ernest P.

    Published 2024-01-01
    “…KOMPSAT-5 temperature standard deviation gradually increases with altitude with observed deviation peaks with 0.6 K at ~26.5 km. …”
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  10. 290
  11. 291

    Simulations suggest offshore wind farms modify low-level jets by D. Quint, D. Quint, J. K. Lundquist, J. K. Lundquist, J. K. Lundquist, D. Rosencrans

    Published 2025-01-01
    “…When LLJs do occur in the simulation with wind farms, their noses are higher than in the NWF simulation: the LLJ nose has a mean altitude near 300 <span class="inline-formula">m</span> for the NWF jets, but that nose height moves higher in the presence of wind farms, to a mean altitude near 400 <span class="inline-formula">m</span>. …”
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  12. 292

    Temporal and Spatial Variation of Potential Evaporation and Its Influencing Factors in Pearl River Basin from 1980 to 2019 by ZUO Daxing, ZANG Chuanfu, WANG Lina

    Published 2022-01-01
    “…Evaporation is an important link in the water cycle,and in-depth studies on the influence of various meteorological factors on evaporation changes are of great significance for climate change,ecological restoration,and utilization of water resources.In this study,the Penman-Monteith model modified by the Food and Agriculture Organization of the United Nations (FAO) is used to calculate the potential evaporation (ET<sub>0</sub>) in the Pearl River Basin from 1980 to 2019.The Mann-Kendall non-parametric test method and inverse distance weighting method are used to analyze the spatial and temporal distribution characteristics of the ET<sub>0</sub>,and the principal component analysis method is used to analyze the influencing factors.The results show that:① The average ET<sub>0</sub> of the Pearl River Basin is 1 145.8 mm,and the growth rate is 1.37mm/a,which shows an increasing trend.In terms of four seasons,the growth rate increases in spring (0.56 mm/a),autumn (0.4 mm/a),and winter (0.44 mm/a) but decreases in summer (-0.03 mm/a).② In terms of spatial distribution,the annual average ET<sub>0</sub> of the Pearl River Basin is high in the east,west,and south but low in the middle andnorth.The distribution of ET<sub>0 </sub>in summer,autumn,and winter is similar.However,the distribution of ET<sub>0</sub> in spring is opposite to that in summer,autumn,and winter.③ Temperature,average water vapor pressure,and altitude are the leading factors of ET<sub>0</sub> changes.Factors such as temperature,average water vapor pressure,sunshine duration,and wind speed make positive contributions to ET<sub>0</sub>,while altitude,latitude,and relative humidity make negative contributions to ET<sub>0</sub> changes.…”
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  13. 293

    Techniques of Ozone Monitoring in a Mountain Forest Region: Passive and Continuous Sampling, Vertical and Canopy Profiles by Giacomo Gerosa, Cristina Mazzali, Antonio Ballarin-Denti

    Published 2001-01-01
    “…Passive samplers, even though supplied only weekly mean concentration values, made it possible to estimate the altitude concentration gradient useful to correct the altitude dependence of ozone concentrations to be inserted into exposure indexes. …”
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  14. 294

    Climatology of Dayside E‐Region Zonal Neutral Wind Shears From ICON‐MIGHTI Observations by Minjing Li, Yue Deng, Brian J. Harding, Scott England

    Published 2024-02-01
    “…The results show that the probability of occurrence of large shears is strongly dependent on the altitude, with the vertical profile varying with shear direction, latitude, season, and local time. …”
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  15. 295

    Seasonal and Altitudinal Effects on Chemical Composition and Rumen Degradability of Blackberry Leaves in Northwestern Italian Alps by Sonia Tassone, Salvatore Barbera, Sara Glorio Patrucco, Hatsumi Kaihara, Khalil Abid

    Published 2025-01-01
    “…This study investigated the effects of seasonal variations and altitude on the chemical composition and in vitro degradability of blackberry leaves. …”
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  16. 296
  17. 297

    Drag Coefficient Constraints for Space Weather Observations in the Upper Thermosphere by Valerie Bernstein, Marcin Pilinski

    Published 2022-05-01
    “…The drag coefficient may change throughout the thermosphere due to model dependencies on composition and altitude. As such, existing drag coefficient model errors and corresponding errors in orbit‐derived density data sets and models may be altitude and solar cycle dependent with greater errors at higher altitudes around 500 km near the oxygen‐to‐helium transition region. …”
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  18. 298

    An Empirical Model of the Ionospheric Sporadic E Layer Based on GNSS Radio Occultation Data by Bingkun Yu, Xianghui Xue, Christopher J. Scott, Xinan Yue, Xiankang Dou

    Published 2022-08-01
    “…Abstract The intense plasma irregularities within the ionospheric sporadic E (Es) layers at 90–130 km altitude have a significant impact on radio communications and navigation systems. …”
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  19. 299

    Bionic Nonsmooth Drag Reduction Mathematical Model Construction and Subsoiling Verification by Baoguang Wu, Ruize Zhang, Pengfei Hou, Jin Tong, Deyi Zhou, Haiye Yu, Qiang Zhang, Jinsong Zhang, Yuelin Xin

    Published 2021-01-01
    “…In this study, a bionic nonsmooth drag-reducing surface design method was proposed; a mathematical model was developed to obtain the relationship between the altitude of the nonsmooth drag-reducing surface bulges and the spacing of two bulges, as well as the speed of movement, based on which two subsoiler shovel tips were designed and verified on field experiments. …”
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  20. 300

    Real-time monitoring and prediction of remote operator fatigue in plateau deep mining based on dynamic Bayesian networks by Shoukun Chen, Liya Pan, Kaili Xu, Xijian Li, Yujun Zuo, Zheng Zhou, Bin Li, Zhangyin Dai, Zhengrong Li

    Published 2025-01-01
    “…In this study, the dynamic fatigue recognition of unmanned electric locomotive operators under high-altitude, cold and low oxygen conditions was studied by combining physiological signals and multi-index information. …”
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