Predicting deep-seated landslide displacement on Taiwan's Lushan through the integration of convolutional neural networks and the Age of Exploration-Inspired Optimizer by J.-S. Chou, H.-M. Nguyen, H.-P. Phan, K.-L. Wang

“…Our approach demonstrates exceptional forecasting capabilities by utilizing 8 years of comprehensive data – including displacement, groundwater levels, and meteorological information from the Lushan (mountainous) region in Taiwan. …”
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Trend Analysis Method on Vertical Axis by Yavuz Selim GÜÇLÜ

“…Climate change has accelerated with the significant increase in the amount of greenhouse gases. When the meteorological and hydrological data are examined, the effect of this change is clearly revealed. …”
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A pluviosidade na Amazônia meridional: variabilidade e teleconexões extra-regionais by Rafael Rodrigues da Franca, Francisco de Assis Mendonça

“…Were treated (descriptive statistics) data from 41 meteorological stations distributed throughout the study area for the 1981-2011 period. …”
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Overcoming climate change challenges: The role of irrigation in enhancing rice yield in Tanzania by Peter David Kulyakwave, Yu Wen, Xu Shiwei

“…Logistic regression results affirmed that households' education, labor size, meteorological information, access to financial services, extension services, and previous farm outputs significantly influenced irrigation adoption by farmers. …”
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Statistical Downscaling for Rainfall Forecasts Using Modified Constructed Analog Method in Thailand by Patchalai Anuchaivong, Dusadee Sukawat, Anirut Luadsong

“…This method is used to forecast the daily rainfall and was received from the Thai Meteorological Department (TMD) from the period during 1979 to 2010 at thirty stations. …”
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Climate change, air pollution and chronic respiratory diseases: understanding risk factors and the need for adaptive strategies by Jiayu Xu, Zekang Su, Chenchen Liu, Yuxuan Nie, Liangliang Cui

“…Results indicated an increased risk of CRD (mainly COPD, asthma) associated with environmental factors, such as air pollutants, adverse meteorological conditions, extreme temperatures, sandstorms, wildfire, and atmospheric allergens. …”
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Assessment of environmental capabilities and capabilities of Tarom city for olive production and cultivation by Vahid Riahi, saeid nasire zare

“…Hence, from altitude, slope and slope status as terrestrial parameters and three climate parameters as relative rainfall, temperature and relative humidity data from 11 meteorological, synoptic and rain gauge stations with appropriate statistical period (1375-1395) and A common time base was used for climatic zoning. …”
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A New Air Quality Prediction Framework for Airports Developed with a Hybrid Supervised Learning Method by Yong Tian, Weifang Huang, Bojia Ye, Minhao Yang

“…Then, following the standard assessment procedure proposed by International Civil Aviation Organization (ICAO), the airports AQIs in different scenarios are classified with consideration of the airport configuration, actual flight operations, aircraft performance, and related meteorological data. Taking the AQI classification results as sample data, several popular supervised learning methods are investigated for accurately predicting air quality in airports. …”
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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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Study on Hydrological Drought Forecasting Based on SWAT Model and ESP Thought by SUN Long, LI Meng

“…Based on measured data such as 40-year long series of hydrological and meteorological data from 1970 to 2009,and the distributed hydrological model SWAT with strong mechanism and integrated forecasting ESP thought,this paper builds a set of drought forecasting system,optimizes the parameters of SWAT model by data from 1970 to 2009,predicts the future long-term (April to October,2010) hydrological drought in the middle and lower reaches of Ganjiang,and calculates and predicts the probability of occurrence of hydrological drought from early April 2010 to late October 2010 in a ten-day basis with ten-day runoff depth anomaly percentage as the early warning indicator for judging the hydrological drought in various districts and counties.The results show that,hydrologic drought is more likely in the middle of May,middle of June to late July,middle of August,early September and middle of October to late October, among which a wide range of hydrological drought is likely to happen in early to middle of July and middle to late October.The predicting results can provide scientific guidance for drought resistance and disaster reduction.…”
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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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Simulation of Soil Temperature Dynamics with Models Using Different Concepts by Renáta Sándor, Nándor Fodor

“…At the test site (calcaric arenosol), meteorological parameters as well as soil moisture content and temperature at 5 different depths were measured in an experiment with 8 parcels realizing the combinations of the fertilized, nonfertilized, irrigated, nonirrigated treatments in two replicates. …”
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Utilization of Sentinel-1 for Landslide Hazard Zoning on Agricultural Land Cover in Sumedang Regency by Ihsan Haikal Muhammad, Isya Herdien Raka Moch

“…The parameters used are the slope of the SAR data, geological conditions, soil conditions and meteorological conditions. The method used is the overlay intersect technique in which each weight and parameter score refers to the INARISK guidelines of the National Disaster Management Agency. …”
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Activity of trypsin inhibitors in common bean seeds (Phaseolus vulgaris L.) from the VIR collection: variability and source material for breeding by T. V. Buravtseva, G. P. Egorova, M. O. Burlyaeva, M. A. Nikishkina

“…The correlation analysis failed to reveal stable interrelations between TIA and meteorological conditions or morphological and economically valuable traits. …”
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Using remote sensing and machine learning to generate 100-cm soil moisture at 30-m resolution for the black soil region of China: Implication for agricultural water management by Liwen Chen, Boting Hu, Jingxuan Sun, Y. Jun Xu, Guangxin Zhang, Hongbo Ma, Jingquan Ren

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Neural network based classification of rock properties and seismic vulnerability by U. Muksin, E. Riana, A. Rudiyanto, K. Bauer, A.V.H. Simanjuntak, M. Weber

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Impact of wave–current coupling on the bottom boundary layer in Bohai Bay by Siyu Liu, Siyu Liu, Guangxue Li, Xue Liu, Lulu Qiao, Nan Wang, Shidong Liu, Xiangdong Wang, Di Yu, Lei Zhang

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Biomass burning emission analysis based on MODIS aerosol optical depth and AeroCom multi-model simulations: implications for model constraints and emission inventories by M. Petrenko, M. Petrenko, R. Kahn, R. Kahn, M. Chin, S. E. Bauer, T. Bergman, H. Bian, G. Curci, B. Johnson, J. W. Kaiser, Z. Kipling, H. Kokkola, H. Kokkola, X. Liu, K. Mezuman, K. Mezuman, T. Mielonen, G. Myhre, X. Pan, X. Pan, A. Protonotariou, S. Remy, R. B. Skeie, P. Stier, T. Takemura, K. Tsigaridis, K. Tsigaridis, H. Wang, D. Watson-Parris, D. Watson-Parris, K. Zhang

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Real-Time Trajectory Planning and Control for Constrained UAV Based on Differential Flatness by Dongli Wu, Hao Zhang, Yunping Liu, Weihua Fang, Yan Wang

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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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