Simulation of Sediment Transport rate using MIKE Software(Case Study:Karri port, Bushehr Province) by Mohammad Sadeghi, Masoud Torabi Azad, Tayeb Sadeghifar

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Comparing Three Approaches to the Inducing Source Setting for the Ground Electromagnetic Field Modeling due to Space Weather Events by Elena Marshalko, Mikhail Kruglyakov, Alexey Kuvshinov, Liisa Juusola, Norah Kaggwa Kwagala, Elena Sokolova, Vyacheslav Pilipenko

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Effects of No-tillage of Rice on Blue and Green Water at Basin Scale by LUO Kaisheng

“…It is of great significance to study the hydrological effect of no-tillage of rice for the popularization of no-tillage technology and the sustainable development of agriculture.However,previous studies were mainly conducted at station scale,and the effect of no-tillage of rice on blue-green water at basin scale is still unclear.Taking the Xiangjiang River Basin as the test area,based on the land use data,digital elevation data,soil data,agricultural management data in 2000 and meteorological data-driven SWAT model,this paper simulates the effect of no-tillage of rice on blue water (water yield+deep groundwater recharge) and green water (actual evapotranspiration+soil moisture content) in the basin.The results show that:Compared with traditional tillage,no-tillage of rice had a greater influence on recharge of deep groundwater,resulting in a decrease of 5.62%,which was 5.35% higher than that of water yield.However,the change of blue water was mainly attributed to the change of water yield,whose contribution was 72.46%.The green water flow (actual evapotranspiration) decreased by 8.460×10⁷ m³ due to no-tillage of rice,but the increase of green water reservoir (soil moisture content) offset these and eventually resulted in the increase of green water.Therefore,the change of blue-green water distribution under no-tillage of rice was mainly achieved by changing water yield and soil moisture content.The water yield mainly caused the change of blue water,while the soil moisture content mainly resulted in the change of green water.Due to the mutual offset of hydrological factors,there was no significant final effect of no-tillage rice on the blue-green water of the whole basin,but large spatial differences within the basin.No-tillage of rice increased the proportion of green water in the total water resources,and increased the ecological water available in the farmland ecosystem,so it played a positive role.…”
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Investigating the Level of Stability of the Water Zone of Hamon Wetlands Using Sensor Images GEE in MODIS by Mohammad Fartoot Enayat, Kourosh Mohammadpour, Ali Asghar Abdollahi, Bita Jeddi

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The Impact of Climate Change on the Heavy Rainfall and Extreme Temperatures (Bijar, Khalkhal, Zanjan, Qorveh and Miane Stations Sefidrood Basin) by Mojtaba Safavi, Hamid Moslemi, Marzeyh Rezai, Raheleh Darvishi

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Investigating the Ability of R Software to Determine Drought - Case Study: South Khorasan Province by Nafise Izadi, Hossein Khozeymeh Nezhad, Mostafa yaghoob Zadeh, Mohamad Fouladi Nasrabad

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Worst‐Case Severe Environments for Surface Charging Observed at LANL Satellites as Dependent on Solar Wind and Geomagnetic Conditions by N. Yu Ganushkina, B. Swiger, S. Dubyagin, J.‐C. Matéo‐Vélez, M. W. Liemohn, A. Sicard, D. Payan

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Synoptic analysis of atmospheric patterns associated with pervasive frosts in Khuzestan province by zahra hejazizadeh, farshad pazhoh, fardin ghadami, haniyeh shakiba

“…For this purpose, using the minimum daily temperature data of 12 stations during the statistical period of 1992 to 2017, the Meteorological Organization of the country, 54 days of frost was identified. …”
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Mapping Temperature Zone of Ethiopia for Binder Performance Grading System by Mahlet G. Mihretu, Habtamu M. Zelelew

“…First, the PG map was developed using 20 years of air temperature data from the National Meteorological Agency. The SHRP prediction model was applied to convert air temperature to pavement temperature, yielding a PG classification with 98% reliability. …”
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Analysis of inter-decade changes in trends and spatial patterns of annual and seasonal precipitation, case study: West of Iran by Fatemeh Ghiasabadi Farahani, Faramarz khoshakhlagh, Aliakbar Shamsipour, Ghasem Azizi, ebrahim fattahi

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Designing and Launching a System for Presenting Marine Charts and Spatial Information (Native Marine Web Service) by Ali Hasankhani

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Combining Machine Learning Models to Improve Estimated Time of Arrival Predictions by Ramon Dalmau, Aymeric Trzmiel, Stephen Kirby

“…Using a dataset comprised of historical traffic and meteorological data collected during one year, this paper presents a comprehensive evaluation of this ensemble of models, referred to as PETA, against the current predictions across various time horizons, ranging from 6 hours before departure to the moment of take-off. …”
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Influenza forecasting in human populations: a scoping review. by Jean-Paul Chretien, Dylan George, Jeffrey Shaman, Rohit A Chitale, F Ellis McKenzie

“…Models used virological (N = 14), syndromic (N = 13), meteorological (N = 6), internet search query (N = 4), and/or other surveillance data as inputs. …”
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Prediction of Global Ionospheric TEC Based on Deep Learning by Zhou Chen, Wenti Liao, Haimeng Li, Jinsong Wang, Xiaohua Deng, Sheng Hong

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Air Traffic Flow Prediction with Spatiotemporal Knowledge Distillation Network by Zhiqi Shen, Kaiquan Cai, Quan Fang, Xiaoyan Luo

“…Finally, employing a feature-based knowledge distillation approach to integrate prior knowledge from flight plans and extract meteorological features, our method can accurately capture complex and constrained spatiotemporal dependencies in air traffic and explicitly model the impact of weather on air traffic flow. …”
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Physical drivers of bio-optical properties in the Guangdong-Hong Kong-Macao Greater Bay Area during the winter dry season by Wenlong Xu, Shuibo Hu, Alex Hayward, Zuomin Wang, Shuaiwei Liu

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Trend and Temporal Variability of Drought in Kirklareli Province Using Reconnaissance Drought Index and Standardized Precipitation Index by Mustafa Utku Yılmaz

“…The monthly precipitation and temperature data from the Kırklareli meteorological station between water years 1960-2021 were used to calculate the SPI and RDI. …”
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Comparison of Precipitation Rates from Global Datasets for the Five-Year Period from 2019 to 2023 by Heike Hartmann

“…Precipitation is a fundamental component of the hydrologic cycle and is an extremely important variable in meteorological, climatological, and hydrological studies. …”
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Assessing Hydropower Potential in Nepal’s Sunkoshi River Basin: An Integrated GIS and SWAT Hydrological Modeling Approach by Rinki Bhattarai, Binaya Kumar Mishra, Deepa Bhattarai, Dipendra Khatiwada, Pankaj Kumar, Gowhar Meraj

“…Topographical, soil, land use, meteorological, and discharge data were employed to assess the study area for the appropriateness of hydropower generation. …”
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Assessing the MODIS Crop Detection Algorithm for Soybean Crop Area Mapping and Expansion in the Mato Grosso State, Brazil by Anibal Gusso, Damien Arvor, Jorge Ricardo Ducati, Mauricio Roberto Veronez, Luiz Gonzaga da Silveira

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