Spatial-temporal Variation and Local Source Identification of Air Pollutants in a Semi-urban Settlement in Nigeria Using Low-cost Sensors by Oyediran Kayode Owoade, Pelumi Olaitan Abiodun, Opeyemi R. Omokungbe, Olusegun Gabriel Fawole, Felix Samuel Olise, Olalekan O. M. Popoola, Roderic L. Jones, Philip K. Hopke

“…Abstract Low-cost sensors were deployed at five locations in a growing, semi-urban settlement in southwest Nigeria between June 8 and July 31, 2018 to measure particulate matter (PM2.5 and PM10), gaseous pollutants (CO, NO, NO2, O3 and CO2), and meteorological variables (air temperature, relative humidity, wind speed and wind-direction). …”
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Processes controlling the dispersion and beaching of floating marine debris in the Barcelona coastal region by Ivan Hernandez, Leidy M. Castro-Rosero, Leidy M. Castro-Rosero, Manuel Espino, Jose M. Alsina, Jose M. Alsina

“…Data from a Lagrangian numerical simulation at a coastal scale using high-resolution hydrodynamic information and observational data of river debris discharge were analysed to determine the environmental variables from meteorological forcing or coastline orientation contributing to particle beaching.MethodA beaching likelihood parameter was developed to quantitatively measure the propensity for an area to receive or accumulate particles from a known outflow source. …”
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Electrification as a development and sustainability approach in rural areas using renewable energy sources by J. Fábregas Villegas, I. Tovar Ospino, A. Palencia Díaz

“…Subsequently, risk management was applied in projects of this nature, assessing the renewable potentials available in the region, such as wind and photovoltaic solar energy.FINDINGS: Of the risks encountered, political risk is the main reason why projects focused on renewable energy in the Colombian Caribbean do not end in a good state of operation, although there is a good exploitable solar and wind energy potential in the region as indicated by the statistical analyses carried out with the records obtained by meteorological instrumentation of the area. Presenting potential solar radiation levels ranging from 5 kilowatt-hours per square meter per day, and wind speeds exceeding 2 and 7 meters per second in certain localities. …”
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Ecohydrological responses to solar radiation changes by Y. Wang, N. Meili, S. Fatichi

“…Here, we compute how changes in solar radiation affect global and local near-surface meteorological variables by using CMIP6 model results. …”
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Performance Analysis of a Parabolic Trough Collector with Photovoltaic—Thermal Generation: Case Study and Parametric Study by Benjamín Chavarría-Domínguez, Susana Estefany De León-Aldaco, Mario Ponce-Silva, Nicolás Velázquez-Limón, Jesús Armando Aguilar-Jiménez, Fernando Chavarría-Domínguez, Ernesto Raúl Rodríguez-García, Heriberto Adamas-Pérez, Ricardo Eliu Lozoya-Ponce, Eligio Flores-Rodriguez

“…A case study is presented, utilizing meteorological data obtained from the localities of Cuernavaca and Mexicali in Mexico. …”
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A molecular toxicological study to explore potential health risks associated with ultrafine particle exposure in cold and humid indoor environments by Ziyu Shu, Shuo Qing, Xu Yang, Ping Ma, Yang Wu, Baizhan Li, Fangxin Fang, Runming Yao

“…Environmental pollutants including ultrafine particulate matter (UFPs) and adverse meteorological conditions pose significant public health impacts, particularly affecting respiratory health. …”
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Achieving water budget closure through physical hydrological process modelling: insights from a large-sample study by X. Zheng, D. Liu, S. Huang, H. Wang, X. Meng

“…In the end, we explored the potential factors influencing the distribution of residuals and found notable scale effects, along with the key role of hydro-meteorological conditions. This emphasizes the importance of carefully evaluating the water balance assumption when employing multisource datasets for hydrological inference in small and humid basins.…”
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Spatial-Temporal Pattern of Vegetation Net Primary Productivity and Its Natural Driving Factors in Ordos Section of the Yellow River Basin by Xiaoguang Wu, Weiwei Hao, Guohua Qu, Lingyun Yang

“…Therefore, based on MOD17A3 NPP data and meteorological data, this study used the slope of a one-dimensional linear regression equation, Spearman correlation analysis method, and geographical detector model to reveal the spatial and temporal evolution characteristics of NPP in the Ordos section of the Yellow River Basin from 2000 to 2021 and the impact of weather change on NPP. …”
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Quantitative Assessment of Gaseous Effluents during Routine Operation: A Comparative Study of Planned Nuclear Power Plants at Lubiatowo-Kopalino and Pątnów Sites in Poland by Edyta Agata Macieja, Juyoul Kim

“…Subsequently, the HotSpot software was used to calculate the radiation risk for downwind areas by utilizing GALE code results as source terms together with specific meteorological data corresponding for each localization. …”
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Geospatial Modelling for Estimation of PM2.5 Concentrations in Two Megacities in Peninsular India by V. P. Lavanyaa, S. Varshini, Souvik Sankar Mitra, Kiran M. Hungund, Rudrodip Majumdar, R. Srikanth

“…This model is based on covariates such as aerosol optical depth (AOD), meteorological parameters, and Land-use-Land-cover (LULC) variables and is validated with extensive datasets from continuous and manual air quality monitoring stations through a 10-fold cross-validation process. …”
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Evaluating land use ımpact on evapotranspiration in Yellow River Basin China through a novel GSEBAL model: a remote sensing perspective by Sheheryar Khan, Wang Huiliang, Umer Nauman, Muhammad Waseem Boota, Zening Wu

“…The technique includes the collection, preparation, and calculation of ET using Landsat imagery and ERA5-Land meteorological data from 1990 to 2020. The study examined satellite LST, albedo, and NDVI data. …”
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Effect of Pollution Level on Size Distributions and Mixing State of Ambient Black Carbon Particles in an Urban Area during Wintertime by Kangning Li, XiaoFei Wang, Xiaohui Lu, Hong Chen, Xin Yang

“…The mixing state of the particles changed drastically under different meteorological conditions, and higher concentrations often occurred during haze episodes. …”
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Vegetation height estimation based on machine learning model driven by multi-source data in Eurasian temperate grassland by Wuhua Wang, Jiakui Tang, Na Zhang, Xuefeng Xu, Anan Zhang, Yanjiao Wang, Kaihui Li, Yidan Wang

“…This study utilized machine learning models such as Random Forest (RF), AdaBoost, BP-Neural Network (BPNN), and Stacking Ensemble, combining them with topographic and meteorological data, MODIS reflectance data, and grassland height measurement data. …”
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Development of the algal pigment-based salinity transfer function for lakes on the Tibetan Plateau and evaluation of the quantitative reconstruction by Xinyao Sun, Qi Lin, Chenliang Du, Shixin Huang, Ke Zhang, Ji Shen

“…Comparison with other paleoclimatic and meteorological records revealed that the lake salinity was mainly influenced by climate-mediated changes in regional precipitation and effective moisture. …”
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Circle chaotic map tuna swarm optimization (CCMTSO) based feature selection and deep learning approach for air quality prediction by Aradhyamatada Swamy, Rohitha U.M.

“…The FCNN model uses geographical features to filter out pollution components, meteorological circumstances, and station interactions. …”
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Patterns and Drivers of Surface Energy Flux in the Alpine Meadow Ecosystem in the Qilian Mountains, Northwest China by Yongxin Tian, Zhangwen Liu, Yanwei Fan, Yongyuan Li, Hu Tao, Chuntan Han, Xinmao Ao, Rensheng Chen

“…This study examines the energy flux patterns and their driving factors in the alpine meadows of the Qilian Mountains, focusing on how the meteorological variables of net radiation (<i>R_n</i>), air temperature, vapor pressure deficit (<i>VPD</i>), wind speed (<i>U</i>), and soil water content (<i>SWC</i>) influence sensible heat flux (<i>H</i>) and latent heat flux (<i>LE</i>). …”
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A Technical Overview on Beta-Attenuation Method for the Monitoring of Particulate Matter in Ambient Air by Kritika Shukla, Shankar G. Aggarwal

“…Beta-attenuation technique is dependent on the meteorological conditions as well as operational factors, which lead to over- or underestimation in the mass measurements in comparison to the reference method. …”
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Effects of Dust Storms and Climatological Factors on Mortality and Morbidity of Cardiovascular Diseases Admitted to ED by Behcet Al, Mustafa Bogan, Suat Zengin, Mustafa Sabak, Seval Kul, M. Murat Oktay, Hasan Bayram, Ertan Vuruskan

“…Hospital records, obtained between September 01, 2009 and January 31, 2014, from four state hospitals in Gaziantep, Turkey, were compared to meteorological and climatological data. Statistical analysis was performed by Statistical Package for the Social Science (SPSS) for windows version 24.0. …”
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Dwelling overheating in risk in cool climates: Assessing the risk in the context of retrofit and climate change in Ireland by M. Mulville, S. Harrington, C. Li, K. Raushan, E. Essien-Thompson, C. Ahern

“…In addition, the paper, for the first time, reviews the future building simulation weather files from Ireland’s National Meteorological service highlighting the potential impact of climate change on overheating projections. …”
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The Association between the Frequency of Rhegmatogenous Retinal Detachment and Atmospheric Temperature by Dong Yoon Kim, Hyeseong Hwang, Jae-Hyung Kim, Byung Gil Moon, Sung Min Hyung, Jin Young Kim, Ju Byung Chae

“…Temperature data (highest, lowest, and mean daily temperatures and daily temperature range) in Chungbuk Province were obtained from the Korean Meteorological Administration database. We investigated the relationship between the daily temperature range and the frequency of RRD surgery. …”
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