COMPARATIVE CLIMATIC CHARACTERISTICS BETWEEN THE WINTER OF 2011–2012 AND THE WINTER OF 1953–1954 IN THE SOUTH OF ROMANIA by ION MARINICĂ, ANDREEA FLORIANA MARINICĂ, OCTAVIA BOGDAN

“…The authors makes a comparative analysis of the typical climatic evolution in two winter season: 2011–2012 and 1953–1954, the latter interval representing a 20th-century risk-high record. …”
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An Assessment of the Microbiological Quality and Physical Properties of Indoor Atmosphere in Port Harcourt by Chuku Aleruchi

“…The study revealed that no indoor atmosphere is completely free from microorganisms; rooms that carry above their original design capacity for occupancy are prone to have a high load of microorganism and indoor microorganism survive and multiply faster during the dry season compared to their growth in the rainy season. …”
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Aridity-induced phenological shifts and greening trends in Mediterranean forest species: Insights from 28 years of Landsat data in southern Spain by Aurelio D. Herraiz, Pablo Salazar-Zarzosa, Cristina Acosta-Muñoz, Rocío Hernández-Clemente, Rafael Villar

“…However, aridity impacts surface phenology differently among Mediterranean species, notably shortening the growth season of Scots pine and causing significant seasonal phenology shifts in Cork oak, Stone pine, and Aleppo pine. …”
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Shifting vegetation phenology in protected areas: A response to climate change by Irina Ontel, Sorin Avram, Carmen Adriana Gheorghe, Mihaita Iulian Niculae, Ionuț Silviu Pascu, Steliana Rodino

“…This study comprehensively examined the impact of climate change on vegetation phenology within Romanian protected areas (PAs), focusing on critical phenological indicators such as the start of season (SOS), end of season (EOS), length of season (LOS), position of peak (POP), and photosynthetic metrics, including mean spring (MSP) and mean autumn (MAU). …”
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Annual Variation of PM2.5 Chemical Composition in Ho Chi Minh City, Vietnam Including the COVID-19 Outbreak Period by Ngoc Tran, Yusuke Fujii, Vinh Xuan Le, Nguyen Doan Thien Chi, Hiroshi Okochi, To Thi Hien, Norimichi Takenaka

“…The concentrations of PM2.5 mass and total WSIs during the rainy season were lower than those during the dry season, whereas the concentrations of carbonaceous species during the rainy season were higher. …”
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Hydrodynamics and water quality assessment of a coastal lagoon using environmental fluid dynamics code explorer modeling system by F.M. Torres-Bejarano, A.C. Torregroza-Espinosa, E. Martinez-Mera, D. Castañeda-Valbuena, M.P. Tejera-Gonzalez

“…The temperature was higher in the wet season than in the transition period (29°C and 31.5°C, respectively). …”
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Market participation and profitability of small scale garri processing in Edo, Ogun and Oyo States, Nigeria by Jelili Olaide Saka, Veronica Adeoti Obatolu, Bosede Olukemi Lawal, Ayodeji Babatunde Idowu, Chukwudi Peter Amadi, Johnson Adedayo Adetumbi, Taofik Oyedele Dauda

“…Cost per kilogram of garri produced was lowest in Edo state during the dry season but highest during the rainy season. However, garri processing was generally profitable, with significant differences in gross margin percentage (GM %) across states only in the rainy season. …”
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Revealing the mismatch in the response to warm-wetting climate of vegetation greenness and primary productivity using MODIS GPP/LAI in Nepal by Dongping Zhong, Lingwen Zeng, Ye Chen, Yingdong Tong, Nana Bai, Jia Sun, Dongdong Zhang, Yingchun Fu

“…The results indicated both GPP and LAI increased significantly more during the dry season than the rainy season in Nepal, but the coupling degree of GPP-LAI in Nepal showed distinct seasonal and elevational differences. …”
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Epidemiological Features, Clinical Symptoms, and Environmental Risk Factors for Notifiable Japanese Encephalitis in Taiwan From 2008 to 2020: Retrospective Study by Fu-Huang Lin, Yu-Ching Chou, Chi-Jeng Hsieh, Chia-Peng Yu

“…It identified residence, season, and age as risk factors for JE in Taiwan. …”
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Risk Factors Associated with Leishmaniasis in the Most Affected Provinces by Leishmania infantum in Morocco by Maryam Hakkour, Asmae Hmamouch, Mohamed Mahmoud El Alem, Abdelhakim Bouyahya, Abdelaali Balahbib, Abdelhak EL Khazraji, Hajiba Fellah, Abderrahim Sadak, Faiza Sebti

“…Regarding the environmental factors, the humidity and the altitude were significant for both CL and VL (P<0.05), while the temperature and the normalized difference vegetation index (NDVI) showed a significance only for VL. Moreover, trends in season of occurrence revealed that wet season (October to April) had a higher incidence of leishmaniasis compared to the dry season (May to September) specifically for CL. …”
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Translation of the UK Pediatric Influenza Vaccination Programme in Primary Schools to 13 European Countries Using a Dynamic Transmission Model by Laetitia Gerlier, Judith Hackett, Richard Lawson, Sofia Dos Santos Mendes, Martin Eichner

“…Model outcomes, averaged over 10 seasons, were compared with published real-life data from the United Kingdom for the 2014–2015 season. …”
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Evaluation and comparison of portfolios formed by strategies through PE, PEG, PERG-SD, and PERG-Beta in the Tehran stock exchange by Hossein Eslami, Seyed Mohammad Moshashaei, Farzad Rahimzadeh

“…The investment horizon in this study is three years (2021–2023), and investing is seasonal in the form of 12 seasons according to the mentioned strategies. …”
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How Do Changes in Grassland Phenology and Its Responses to Extreme Climatic Events in Central Asia? by Xinwei Wang, Jianhao Li, Jianghua Zheng, Liang Liu, Xiaojing Yu, Ruikang Tian, Mengxiang Xing

“…This study revealed that the start of season (SOS) was advanced by 0.4 d·a⁻¹, end of season (EOS) was delayed by 0.5 d·a⁻¹, and length of season (LOS) extended by 0.8 d·a⁻¹ in 1982–2022. …”
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Effects of permafrost stability changes on vegetation dynamics in the middle part of the Greater Khingan Mountains by Jiaman Sun, Wei Shan, Chengcheng Zhang

“…The study also identified an overall greening trend in the region, with the proportions of increased normalized vegetation index (Gr-NDVI), advanced start of the growing season (SOS), and delayed end of the growing season (EOS) being 93.84%, 75.12%, and 68.83%, respectively. …”
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Analysis for Spatial Heterogeneity of Water Quality of Rivers in Mingcheng Town by ZHOU Xuexin, ZHAO Xiaochen, ZHANG Shu, GE Xiaoxia

“…To protect and improve the water environment,this paper takes rivers and Gaoming river in Mingcheng Town as research objects,researches the current status of the water environment of 36 monitoring sections,analyzes the spatial variation of six water quality indexes i.e.DO,COD_Mn,COD,BOD₅,NH₃-N and TP by GIS technique and mathematical statistics method,and discusses the influence of land use types on spatial variation of water quality.The results of research show that:the overall water quality of rivers in Mingcheng Town was poor.Water quality indexes showed significantly spatial variation,and the coefficient of variation of NH₃-N and TP was higher than other water quality indexes.In terms of space,compared with other research units,R7 water quality was poorer.Part of the water quality indexes showed obvious spatial concentration and positive spatial autocorrelation.In wet season,there was a significant correlation between land use types such as vegetation,cultivated land and water area and water quality indexes.The agricultural runoff pollution and aquaculture pollution may be the important factors that affect water quality.In dry season,there was no obvious correlation of land use types with water quality indexes.The poor water quality may be caused by the domestic pollution sources,industrial pollution sources and agricultural non-point sources.…”
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Zooplankton Diversity, Dynamics and Correlation with Physicochemical Parameters at Ugbevwe Pond in Delta State, Nigeria by J.A. Edoreh, T.O.T IMoobe, E. Ikpokpo, M.M. Ubrei-Joe, C.M. Ubrei-Joe

“…Zooplankton was more abundant in the rainy season than the dry season. The relationship between zooplankton and the investigated physicochemical parameters showed that all the zooplankton correlated positively with depth, lead and total  hydrocarbon and negatively with colour, sodium, Calcium, Iron and Zinc. …”
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Forest Evapotranspiration and Energy Flux Partitioning Based on Eddy Covariance Methods in an Arid Desert Region of Northwest China by Xiaohong Ma, Qi Feng, Yonghong Su, Tengfei Yu, Hua Jin

“…LE was the main term of energy consumption at annual time scale because of higher value in the growing season. The ratios of the latent (LE) and sensible (H) heat fluxes to net radiation were 0.47 and 0.28 throughout the year, respectively. …”
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The analysis of synoptic patterns influencing sand and dust genesis over the West Asia region by Saviz Sehat Kashani, مهدی رهنما, Noushin Khoddam, Sara Karami, Abbas Ranjbar

“…In the cold season of the year, the formation of the cold front, especially in Iraq, causes strong winds and eventually leads to the emission and transfer of dust.…”
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Zooplankton Diversity, Dynamics and Correlation with Physicochemical Parameters at Ugbevwe Pond in Delta State, Nigeria by J.A. Edoreh, T.O.T IMoobe, E. Ikpokpo, M.M. Ubrei-Joe, C.M. Ubrei-Joe

“…Zooplankton was more abundant in the rainy season than the dry season. The relationship between zooplankton and the investigated physicochemical parameters showed that all the zooplankton correlated positively with depth, lead and total  hydrocarbon and negatively with colour, sodium, Calcium, Iron and Zinc. …”
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Study on Variation Law and Influencing Mechanism of Water and Sediment in Henan Reaches of the Yellow River by XUAN Xiaobo, DOU Ming, LIU Bojun

“…The Henan reaches of the Yellow River is a typical wandering reach, which has a severe impact on the river habitat due to the severe variation of water and sediment, frequent swing of the main channel, and serious deformation of the riverbed.Based on the water and sediment data of Xiaolangdi, Huayuankou, and Gaocun hydrological stations from 1960 to 2019, this paper explores the variation cycle characteristics of water and sediment in the Henan reaches of the Yellow River by using statistical methods such as Mann-Kendall test, sliding T test, and wavelet analysis.The contribution rate of rainfall and human activities to the decrease in runoff and sediment transport in the Henan reaches of the Yellow River is quantitatively evaluated by the double mass curve method.The results show that the decreasing trend of annual sediment transport is greater than that of annual runoff in the Henan reaches.From Xiaolangdi to Huayuankou, erosion and deposition are basically balanced, and from Huayuankou to Gaocun, deposition is dominant.The flood season in the Henan reaches is dominated by sediment deposition, and the non-flood season is dominated by scour.The sediment transport in Xiaolangdi station changed greatly in 1997, while the runoff and sediment transport in Huayuankou and Gaocun stations changed significantly in 1985.The water and sediment regulation greatly increases runoff instead of sediment transport.Human activities play a leading role in the decrease in runoff and sediment transport in the Henan reaches of the Yellow River, with an average contribution rate of 80.94% to runoff and 94.95% to sediment transport in the Henan reaches of the Yellow River.…”
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