Influence of Secondary Inorganic Aerosol on the Concentrations of PM2.5 and PM0.1 during Air Pollution Episodes in Hanoi, Vietnam by Nguyen-Quoc Dat, Bich-Thuy Ly, Trung-Dung Nghiem, Thu-Thi Hien Nguyen, Kazuhiko Sekiguchi, Truong-Thi Huyen, Thai-Ha Vinh, Le-Quang Tien

“…The contribution of SIA on PM2.5 and PM0.1 during those episodes, the effects of meteorological conditions, and long-range transport were investigated. …”
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Radar-measured passerine vertical speeds reveal a migratory switch near a major barrier by Yuval Werber, Nir Sapir

“…We calculated individual departure and landing timing using vertical-looking radar in the Hula Valley, compiled nightly departure and landing ratios (departure and landing amounts relative to total migration flux), and explored how these are affected by meteorological conditions. Crosswind direction emerged as a key factor affecting departure and landing decisions during autumn migration in the area. …”
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Assessing the role of genotype by environment interaction of winter wheat cultivars using envirotyping techniques in North China by Haiwang Yue, Yanbing Wang, Zhaoyang Chen, Jiashuai Zhu, Partha Pratim Behera, Pengcheng Liu, Haoxiang Yang, Jianwei Wei, Junzhou Bu, Xuwen Jiang, Xuwen Jiang, Wujun Ma

“…Leveraging 30 years of environmental data, including 19 meteorological parameters and 6 soil physicochemical properties, the study analyzed GEI and identified four distinct mega-environments (MEs) using advanced environmental classification techniques.ResultsVariance analysis of genotype-year combinations at individual locations revealed significant differences among genotypes. …”
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WIND ENERGY EVALUATION AND TURBINE IDENTIFICATION FOR POWER GENERATION IN SOME SELECTED AREAS IN NIGERIA by MUSEDIQ ADEDOYIN SULAIMAN, IGNATIUS KEMA OKAKWU, AKINTUNDE SAMSON ALAYANDE, OLAKUNLE ELIJAH OLABODE, AUGUSTUS EHIREMEN IBHAZE

“…The data used are obtained from Nigeria Meteorological Agency (NIMET) between the durations of 11 and 54 years, measured at an anemometer height of 10m. …”
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Analysis of the Hail Phenomenon in Bistrița-Năsăud County in 2024: Localization, Impact, Perception, and Mitigation by Andras-István BARTA, Irina RABOȘAPCA, Ștefan BILAȘCO, Aurelian Cosmin MOLDOVAN, Tania MIHĂIESCU

“…The research integrates climatological data, meteorological observations, and locally sourced information to evaluate the frequency, localization, and intensity of hail across the region. …”
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The Effect of Drought on PM Concentrations in the Czech Republic by Adéla Holubová Šmejkalová, Jáchym Brzezina

“…In addition, other meteorological factors were taken into account as well, in particular wind speed, air and soil temperature and soil moisture. …”
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Spring phenological models combining the effects of temperature and photoperiod are successfully transferred to various spatial and temporal scales: a case study of Aesculus hippoc... by Korsakova Svetlana, Korsakov Pavel, Evstigneev Vladislav

“…On the basis of long-term, high-quality in situ observations on phenological and meteorological data, we parameterised and examined the performances of four single-phase and two two-phase models for the prediction of the leaf unfolding and flowering dates of horse chestnut (Aesculus hippocastanum L.). …”
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The Effects of COVID-19-related Driving Restrictions on Air Quality in an Industrial City by Daulet Assanov, Aiymgul Kerimray, Birzhan Batkeyev, Zhanna Kapsalyamova

“…This study analyzes concentrations of four major air pollutants and meteorological parameters in Ust-Kamenogorsk from March 1 to May 15 in 2016–2020. …”
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Lockdown to Contain the COVID-19 Pandemic: An Opportunity to Create a Less Polluted Environment in India by Preet Lal, Amit Kumar, Supriya Bharti, Purabi Saikia, Dibyendu Adhikari, M. L. Khan

“…The study exhibited the very less contribution of seasonal and meteorological variables in the abatement of pollution during the lockdown period. …”
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Spatial Characteristics and Influence of Topography and Synoptic Systems on PM2.5 in the Eastern Monsoon Region of China by Shengli Zhu, Zhaowen Wang, Kai Qu, Jun Xu, Ji Zhang, Haiyi Yang, Wenxin Wang, Xiao Sui, Min Wei, Houfeng Liu

“…This study provided a scientific basis for the joint prevention of PM2.5 pollution based on topographic and meteorological characteristics in Eastern China.…”
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Demarcation of Pollution-Prone Areas around the Manyoni Uranium Project, Tanzania by Farida Lolila, Mohamed S. Mazunga, Ntombizikhona B. Ndabeni

“…Abstract This study employed PM10 source parameters and pre-processed topographical and meteorological data as input into the AERMOD atmospheric dispersion model to demarcate pollution-prone areas around the Manyoni Uranium Project. …”
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Resilience enhancement strategy for distribution networks considering multiple flexibility resources collaboration by MA Canhao, CHEN Lijuan, WU Zhi

“…Firstly, the fault scenarios of lines and photovoltaic (PV) in the region are simulated by Monte Carlo method based on typical meteorological characteristics, and the typical scenarios are screened by using system information entropy to get the temporal fault states of lines and PV. …”
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Effect of COVID-19 Prevention Measures on Air Quality in Thailand by Jenjira Kaewrat, Rungruang Janta

“…However, results for Northern provinces were unclear because PM2.5 concentrations were still high during WFH period due to effects from open burning activity as well as meteorological condition.…”
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Effect of Soil Salinity on Thermal Behavior of Sandy Soils Under a Sahara Climate by Djihad Bennaceur, Nadia Laredj, Mustapha Maliki, Hanifi Missoum

“…Moreover, the arid meteorological conditions of Sahara Desert were considered in the developed model. …”
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Development of a PM2.5 Forecasting System Integrating Low-cost Sensors for Ho Chi Minh City, Vietnam by Nguyen Ky Phung, Nguyen Quang Long, Nguyen Van Tin, Dang Thi Thanh Le

“…To increase the accuracy of WRF and the meteorological forecasting, the global DEM and land use data were replaced by Lidar data, and land use data were also retrieved from MODIS. …”
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Quantification of onion (Allium cepa L.) evapotranspiration and crop coefficient via weighable lysimeter under semi-arid climate of Melkasa, Ethiopia by Nigusie Kebede, Mekonen Ayana, Boja Mekonnen

“…The CROPWAT model and meteorological data from a station located nearby were used to estimate reference evapotranspiration. …”
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Spatio-temporal modelling of extreme low birth rates in U.S. counties by Kai Wang, Yingqing Zhang, Long Bai, Ying Chen, Chengxiu Ling

“…The innovative Bayesian generalized Pareto (GP) quantile regression model is employed for analysing the spatiotemporal pattern of stressful low birth rate and its association with socioeconomic, demographic, and meteorological factors. The optimal stochastic partial differential equation and autoregressive model of order one (SPDE-AR(1)) spatiotemporal structured model is selected based on common Bayesian criteria and scaled threshold weighted continuous ranked probability score, indicating apparent spatial unbalance and deteriorating tendency of falling birth rate. …”
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Hygroscopic Growth Factors of Sub-micrometer Atmospheric Aerosols at Four Selected Sites in Thailand by Jindarat Pariyothon, Surat Bualert, Parkpoom Choomanee, Thitima Rungratanaubon, Thunyapat Thongyen, Narita Fakkaew, Chayaporn Phuetfoo, Jitlada Phupijit, Wladyslaw W. Szymanski

“…Therefore, the temporal variation in Gf of size-selected atmospheric particles from the Aitken mode (Dp ≤ 100 nm) and accumulation mode (Dp > 100 nm) was measured using a humidified tandem differential mobility analyser (H-TDMA) and the relationship between particle size and Gf for various locations and meteorological conditions was determined. The origin of ambient particles primarily defines their properties and governs their participation in atmospheric processes. …”
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PM2.5 Concentration Prediction Based on Markov Blanke Feature Selection and Hybrid Kernel Support Vector Regression Optimized by Particle Swarm Optimization by Lian-Hua Zhang, Ze-Hong Deng, Wen-Bo Wang

“…Abstract This study employed air quality and meteorological data as research materials and extracted the optimal feature subset by using the approximate Markov blanket-based normal maximum relevance minimum redundancy (nMRMR) algorithm to serve as the input data of the prediction model. …”
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Intelligence Based Controlling Models for Effective Power Tracking and Voltage Enhancement in Grid-PV Systems by I. E. S. Naidu, T. Padmavathi, S. Venkata Padmavathi, Budidi U. Kumar

“…The proposed control architecture presents a new Fractional Order Proportional-Integral-Derivative Control (FOPTC) technique and its adaptation mechanism for correct MPPT under dynamic variations of meteorological conditions. Consequently, it offers improved energy harvesting because it is able to identify the global maximum power point with higher speed and precision than traditional control techniques that apply hybrid approaches. …”
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