Numerical simulation of snow deposition around structural snow fences by K. Yu. Litvintsev, A. A. Gavrilov, A. A. Dekterev, Yu. N. Zaharinsky, A. A. Minakov, S. A. Filimonov, K. A. Finnikov

“…The results of numerical modeling of the influence of geometric characteristics of snow-protecting fences on the intensity of snow deposition at the initial stage of formation, that is, without taking into account the influence of the dynamics of the shape of the snow cover surface, are presented. In the most industrialized and densely populated region on the Arctic Krasnoyarsk Territory - the industrial City of Norilsk, daily snowfall can exceed 50 mm, the snow depth reaches, on the average, 47 cm (the largest is 70 cm), while the wind speed - 25-30 m/s. …”
Get full text

Calculation Methodology and Results of Optimization of Design Parameters of the Tractor Recuperative Mounted System When Aggregated with Forest Tillage Implements by Valeryi I. Posmetyev, Maksim A. Savinkov, Viktor V. Posmetyev, Andrey Yu. Manukovskii, Vadim O. Nikonov

“…It has been established that for the tractor recuperative mounted system, the optimal length of the levers is 0.33... 0.36 m, and the optimal design of the hydraulic cylinder is 62...66 mm. In this case, the average recuperated power when processing an uneven surface without obstacles is at least 0.9 kW; the average deviation of the tillage depth from the target value of 100 mm does not exceed 20 mm; the maximum force experienced by the disk battery when in contact with an uncuttable obstacle does not exceed 11 kN, and the length of the tillage defect after leaving a stump 0.2 m high does not exceed 0.6 m.…”
Get full text

Properties of Chitosan Functionalized Nano-selenium and Its Application in the Preservation of Fresh-cut Bamboo Shoots (Pleioblastus amarus) by Yu LEI, Mengjuan PAN, Feipeng CHEN, Hongwang DONG, Aiyuan LÜ, Dong LI

“…The results indicated that the SeNPs were spherical particles with an average particle size of 88.63 nm and a ζ-potential of -3.84 mV. …”
Get full text

Analysis of the Role of Land use Change on the Flooding of Shahrokh Castle Catchment Area by Saeed Shahmirzaei, Ahmad Mazidi

“…In order to investigate the effect of land use change on the flooding of the region, the equation of the United States Soil Protection Organization was used. By using the average value of CN for different uses and based on the area of the uses, the average value of CN and surface maintenance coefficient (S) were obtained for different years. …”
Get full text

Natural gamma radiation at the sea level around the Antarctic continent recorded south of the 62° parallel by Magdalena Długosz-Lisiecka, Marcin Krystek, Mariusz Koper, Tomasz Grala, Hanna Leniec-Koper, Michał Barasiński, Magdalena Talar, Ireneusz Kamiński, Robert Kibart, Wojciech Małecki, Piotr Kukliński

“… This study presents the results of dosimetry radiation measurement performed in the Antarctic region at the surface of the sea which was conducted between January and March 2018. …”
Get full text

Evaluation of Low-Temperature Performance of Recycled Asphalt Mixture with Different Thermal History Reclaimed Asphalt Pavement by Chao Jin, Ya’nan Cui, Qileng Aori

“…The UVRAP reduces the viscoelastic temperature range of an RAM by an average of 10.79%, whereas the THRAP increases it by an average of 2.16%. …”
Get full text

Design and analysis of spiral plating solution flow and rotating magnetic field device for electroplated diamond wire saw by Wei HUANG, Yanming HE, Jinbao XU, Zhenya SONG, Xiang HUANG, Yumeng SUN, Ximeng YU

“…The average surface roughness of the silicon wafer in the feed direction is lower, so the workload of the subsequent grinding process can be reduced.…”
Get full text

Treatment of mine water containing ammonia nitrogen by sodium hexametaphosphate modified zeolite by Liping ZHANG, Xiang HU, Weiwei WANG, Wenbo LEI, Huitong LI, Huaran SUN, Yongqi ZHAN, Zeyu LIAN

“…Scanning electron microscopy and surface area measurements revealed that upon modification, the zeolite exhibited enlarged pores, a smoother and more loosely structured surface, increased specific surface area, decreased micropore volume, and an augmentation in mesopore, macropore, and average pore diameter. …”
Get full text

Volume fracturing technology with high-energy electric detonation and engineering test of ground coalbed methane by Baisheng NIE, Song BAO, Xianfeng LIU, Peng LIU, Hao ZHANG, Hengyi HE, Zijian LI, Haowen ZHOU, Xueqi JIA, Xueqiu HE

“…In order to solve a series of problems such as strong reservoir adsorption, low permeability, easy blockage of migration channels, water lock effect, and lack of water resources in the development process of surface coalbed methane. In this research, the theory of high-energy electric detonation (HEED) volume fracturing and permeability enhancement in surface coalbed methane wells were deeply analyzed. …”
Get full text

Tailoring innovative adsorbents from discarded weathered basalt waste by calcination and activated carbon impregnation for efficient Fe (III) and Zn (II) remediation by Ahmed M. Zayed, Modather F. Hussein, Bahaa S. Metwally, Hussain Shendy, Mahmoud M. Abdelsatar, Mahmoud F. Mubarak, Atef Mohamed Gad Mohamed, Ahmed M. A. Abdel Gawad, Mahmoud S. M. Abdel Wahed, Mostafa A. Masoud

“…Characterization using XRD, FTIR, SEM, and surface area analyzer revealed that calcination improved porosity and surface area with some privilege for CWB/AC-950. …”
Get full text

Evaluation of watershed management interventions on biomass carbon sequestration and stakeholders’ perception about watershed condition improvement (case study: Dehchenashk sub-wat... by Zeinab Karimi, Vahedberdi Sheikh, Amir Sadoddin, Naghmeh Mobarghaee Dinan

“…Regarding biological practices carried out in the treatment sub-watershed, the average carbon sequestration in walnut orchards (2.72) was higher than pear (Pyrus communis) (1.88) and cherry (Cerasus avium) (1.66) orchards and terraced lands cultivated with alfalfa (1.65), wheat (1.50) and lentil (1.40). …”
Get full text

Automatic segmentation and volume measurement of anterior visual pathway in brain 3D-T1WI using deep learning by Yongliang Han, Haixiang Wang, Qi Luo, Jingjie Wang, Chun Zeng, Qiao Zheng, Linquan Dai, Yiqiu Wei, Qiyuan Zhu, Wenlong Lin, Shaoguo Cui, Yongmei Li

“…Model accuracy was evaluated on the test set using Dice similarity coefficient (DSC), 95% Hausdorff distance (HD95), and average symmetric surface distance (ASSD). The 3D UX-Net’s performance was compared against 3D U-Net, Swin UNEt TRansformers (UNETR), UNETR++, and Swin Soft Mixture Transformer (Swin SMT). …”
Get full text

Mangrove aboveground biomass estimation using UAV imagery and a constructed height model in Budeng–Perancak, Bali, Indonesia by Mohammad Basyuni, Alfian Mubaraq, Rizka Amelia, Anindya Wirasatriya, Sigit Bayhu Iryanthony, Bejo Slamet, Shofiyah S. Al Mustaniroh, Novia Arinda Pradisty, Frida Sidik, Rizki Hanintyo, Elham Sumarga, Siti H. Larekeng, Severino G. Salmo, III, Tadashi Kajita, Hayssam M. Ali, Anjar Dimara Sakti, Virni B. Arifanti

“…The UAV imagery acquisition is supported by a series of in-situ measurements to obtain field data on the forest structure (for canopy surface model [CSM] cross-validation). The AGB across the mangrove land cover types in Budeng–Perancak ranged from 2 Mg ha−1 to 480 Mg ha−1 (mean: 240 Mg ha−1), with the highest average total AGB in natural mangroves (239 Mg ha−1), followed by restored mangroves (232 Mg ha−1), indicating a successful restoration effort at Budeng–Perancak. …”
Get full text

Transformation rate maps of dissolved organic carbon in the contiguous US by L. Li, H.-Y. Li, G. Abeshu, J. Tang, L. R. Leung, C. Liao, Z. Tan, H. Tian, P. Thornton, X. Yang

“…Both maps are developed following the same five major steps: (1) selecting independent catchments where observed riverine DOC data are available with reasonable quality; (2) estimating catchment-average SOC for the independent catchments; (3) estimating the <span class="inline-formula"><i>P</i>_r</span> values for these catchments based on the generic formula and catchment-average SOC; (4) developing a predictive model of <span class="inline-formula"><i>P</i>_r</span> with machine learning (ML) techniques and catchment-scale climate, hydrology, geology, and other attributes; and (5) deriving a national map of <span class="inline-formula"><i>P</i>_r</span> based on the ML model. …”
Get full text

Simulation and Prediction of Spring Snow Cover in Northern Hemisphere by CMIP6 Model by Xulei WANG, Hui SUN, Hui GUO, Chula SA, Fanhao MENG, Min LUO

“…As one of the most sensitive natural elements in response to climate change， snow cover has a significant effect on the Earth's surface radiation balance and water cycle.The global snow cover area is approximately 46×106 km2 and 98% of the snow cover distributed in the Northern Hemisphere.Due to its distinctive radiative properties （high surface albedo） and thermal characteristics （low thermal conductivity）， changes in snow cover play a crucial role in the energy balance and water cycle between land and the atmosphere.In the context of global warming， the snow cover in the Northern Hemisphere has been decreasing in recent decades， especially in the spring.Therefore， the capabilities of CMIP6 （Coupled Model Intercomparison Project Phase 6） data to simulate the snow cover area were evaluated based on observational data and the future changes in snow cover were also assessed using a multi-model average in this study.By using the snow cover products from the National Oceanic and Atmospheric Administration/National Climatic Data Center （NOAA/NCDC） as reference data， the Taylor skill scoring， relative deviation， and other methods were applied to evaluate the spring snow cover （SCF） data in the Northern Hemisphere from the International Coupled Model Comparison Project Phase 6 （CMIP6） during 1982 -2014.The ensemble average of the top three models was further selected to predict the spatiotemporal variation characteristics of SCF under different emission scenarios from 2015 to 2099， providing insights into the modeling capabilities of CMIP6 and future changes in SCF.During the historical period （1982 -2014）， SCF was characterized by high coverage at high latitudes and low coverage at low latitudes， with high-altitude regions such as Tibetan Plateau and eastern Asia having higher snow coverage than those at the same latitudes.Overall， 68.37% of the regions in the Northern Hemisphere showed a decreasing trend in SCF， while 31.63% of the regions showed an increasing trend in SCF.Most CMIP6 models overestimated SCF in the Tibetan Plateau region compared to the reference data.In addition， most models simulated larger areas with a decreasing trend in SCF than those evaluated by the reference data and underestimated SCF in March， April， and May.Various models exhibited differing abilities to simulate SCF， with NorESM2-MM， CESM2， BBC-CSM2-MR， NorESM2-LM， and CESM2-WACCM demonstrating superior capabilities.The Multi-Model Ensemble Mean （MME） consistently outperformed individual models， closely aligning with observational data.There were significant differences in the ability of the CMIP6 models to simulate the spatial distribution， inter-annual variation trends， and intra-annual variations of SCF in the Northern Hemisphere.At the end of the 21st-century （2067 -2099）， SCF in the Northern Hemisphere exhibited a decreasing trend in most areas， which intensifies with increasing emission intensity.The changes in SCF were relatively consistent under different emission scenarios before 2040.SCF maintains a steady state under the SSP1-2.6 scenario， showed a slight decreasing trend under the SSP2-4.5 scenario， and showed a significant decreasing trend under the SSP5-8.5 scenario after 2040.…”
Get full text

Downscaling of Soil Moisture Map using Sentinel Radar Satellite Images and Distribution Analysis in the West of Iran by Seyed Hossein Mirmosavi, kohzad Raispour, Muhammad Kamangar

“…Soil surface moisture is a key variable to describe drought, water and energy exchanges between the earth and the air. …”
Get full text

Jellyfish and comb jellies in the Baltic Sea: Depth resolved distribution pattern along the salinity gradient of the Baltic Sea during September 2020 - datasetzenodozenodoPANGAEA by Cornelia Jaspers, Helena Hauss, Hans-Harald Hinrichsen

“…At 71 % of the stations, transitional M. leidyi were caught at an average density of 19.2 ± 21.8 ind m−3 station−1 (max 129.2 ind m−3, WP2, Kiel Bight). …”
Get full text

Experimental Investigation on the Influence of the Location of Sand Mining on the Local Scour Characteristics of Bridge Piers by WU Wei, CAI Huiyi, WANG Hao, FU Dabao, CHEN Zetong, YAO Jiateng

“…Due to the flow velocity is greater than the sediment start-up velocity, the bed surface sand transport causes the bed surface topography to rise and fall. …”
Get full text

The impact of cell density variations on nanoparticle uptake across bioprinted A549 gradients by Luigi Di Stolfo, Wang Sik Lee, Dimitri Vanhecke, Sandor Balog, Patricia Taladriz-Blanco, Alke Petri-Fink, Alke Petri-Fink, Barbara Rothen-Rutishauser

“…This inverse relationship correlated with greater average cell surface area in lower-density regions, while differences in the proliferation rates of the A549 cells at varying densities did not significantly impact uptake, did not significantly impact uptake.ConclusionSiO2 NP uptake is significantly enhanced at lower cell densities, mainly due to the increased available surface area, revealing potential cell-NP interaction differences in tissues that present cell density variability. …”
Get full text

Climate-management interactions drive soil organic carbon sequestration potential in China's croplands during 2020–2060 by Wenfang Jiang, Ziqi Lin, Zhangcai Qin, Xinqing Lu, Wen Zhang, Qing Zhang, Sijing Ye, Huirong Li, Huilin Ge, Guocheng Wang

Get full text