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  1. 61

    Moisture Sorption Isotherms and Prediction Models of Carboxymethyl Chitosan Films from Different Sources with Various Plasticizers by Juthamas Tantala, Chitsiri Rachtanapun, Wirongrong Tongdeesoontorn, Kittisak Jantanasakulwong, Pornchai Rachtanapun

    Published 2019-01-01
    “…Understanding of sorption isotherms is an important prerequisite for the prediction of moisture sorption properties of films via moisture sorption empirical models. …”
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    Article
  2. 62

    PRODUCTIVITY AND QUALITY OF TRITICUM DURUM VARIETIES IN THE CONTRAST CONDITIONS OF MOISTURE SUPPLY OF THE STEPPE OF ORENBURG PRE-URALS by T. A. Timoshenkova, I. V. Reshetova

    Published 2018-06-01
    “…It is necessary to use the varieties which were found less depressive to dry conditions for more efficient grain production. …”
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  3. 63

    Experimental study on estimating bare soil moisture content based on UAV multi-source remote sensing by Hongyan Yuan, Shiqi Liang, Yurong Gao, Yulu Gao, Xugang Lian

    Published 2025-12-01
    “…When the in situ average soil bulk density was 1.366 g/cm3, the moisture content at 3 cm and 6 cm was measured by temperature hygrometer, and it was found that the inversion model at 6 cm depth was better.…”
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  4. 64

    Downward Convective Moisture Transport Dominated by a Few Overshooting Clouds in Marine and Continental Shallow Convection by Heng Xiao, Adam Varble, Colleen Kaul, Johannes Mülmenstädt

    Published 2025-03-01
    “…., 2023, https://doi.org/10.1029/2022ms003526), we found that ignoring the moist convective downdrafts associated with overshooting clouds in parameterizations can lead to significant biases in the simulated depth and liquid water content of a shallow cloud layer. …”
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  5. 65

    Indigenous Smokeless Tobacco - Analysing pH, Moisture, Nicotine Levels, and Warning Labels - An In Vitro Study by Shivashankar Kengadaran, Divvi Anusha, Daniel J. Caplan, Shyam Sivasamy, Prabhakar Divyaraj, A Vani Anusha

    Published 2025-01-01
    “…A moderate positive correlation was found between moisture content and nicotine levels (r = 0.672, P < 0.05), while a strong negative correlation was observed between pH and nicotine content (r = -0.849, P < 0.01). …”
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  6. 66

    Moisture budget estimates derived from airborne observations in an Arctic atmospheric river during its dissipation by H. Dorff, H. Dorff, H. Dorff, F. Ewald, H. Konow, H. Konow, M. Mech, D. Ori, V. Schemann, A. Walbröl, M. Wendisch, F. Ament, F. Ament

    Published 2025-07-01
    “…As the AR dissipated, the budget components changed from drying to moistening, mainly due to moisture advection. We demonstrated the feasibility of closing the moisture budget using single aircraft measurements, even though we found significant residuals that model-based comparisons attribute to subscale variability.…”
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  7. 67
  8. 68

    An Improved Soil Moisture Downscaling Method Based on Soil Properties and Geographical Divisions over the Loess Plateau by Lei Han, Zheyuan Miao, Zhao Liu, Hongliang Kang, Han Zhang, Shaoan Gan, Yuxuan Ren, Guiming Hu

    Published 2025-02-01
    “…As the contradiction between vegetation growth and soil moisture (SM) demand in arid zones gradually expands, accurately obtaining SM data is crucial for ecological construction. …”
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    Article
  9. 69

    Experimental Soil Warming Impacts Soil Moisture and Plant Water Stress and Thereby Ecosystem Carbon Dynamics by W. J. Riley, J. Tao, Z. A. Mekonnen, R. F. Grant, E. L. Brodie, E. Pegoraro, M. S. Torn

    Published 2025-02-01
    “…Abstract Experimental soil heating experiments have found a consistent increase in soil‐surface CO2 emissions (Fs), but inconsistent soil organic carbon (SOC) responses. …”
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  10. 70

    GROWTH, YIELD AND WATER FOOTPRINT OF GREEN CUCUMBER (Cucumis sativus L.) IN RESPONSE TO SOIL MOISTURE TENSION by Benigno Rivera-Hernández, Wilfrido Madrigal-Córdova, Víctor Hugo Quej-Chi, Vianey González-Jiménez, Antonio López-Castañeda, Eugenio Carrillo-Avila

    Published 2024-11-01
    “…Results: In all variables related to cucumber growth and yield, statistically equal values were found in the -15 kPa and -30 kPa treatments, with significantly lower values in the -60 kPa SWMT (Tukey; α = 0.05). …”
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  11. 71

    Comparing the Accuracy of Soil Moisture Estimates Derived from Bulk and Energy-Resolved Gamma Radiation Measurements by Sonia Akter, Johan Alexander Huisman, Heye Reemt Bogena

    Published 2025-07-01
    “…Monitoring soil moisture (SM) using permanently installed gamma radiation (GR) detectors is a promising non-invasive method based on the inverse relationship between SM and soil-emitted GR. …”
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  12. 72

    Accounting for biomass water equivalent variations in soil moisture retrievals from cosmic ray neutron sensor by Samer K. Al-Mashharawi, Susan C. Steele-Dunne, Marcel M. El Hajj, Martin Schrön, Claude Doussan, Dominique Courault, Trenton E. Franz, Matthew F. McCabe

    Published 2025-05-01
    “…Cosmic ray neutron sensor (CRNS) has gained popularity in the last decade for its suitability in estimating area-averaged soil moisture (SM). The presence of fresh biomass influences the CRNS signal due to its water content, introducing bias to soil moisture estimation. …”
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    Article
  13. 73

    Impact of Assimilation of SMAP Satellite Soil Moisture Retrievals Into a High‐Resolution Regional Land Data Assimilation System Over India by M. V. S. Ramarao, Ashish Routray, Devajyoti Dutta, Srinivas Desamsetti, John P. George, V. S. Prasad

    Published 2025-05-01
    “…ABSTRACT Soil moisture (SM) is one of the crucial variables of the earth system that needs to be accurately initialized in a numerical weather model for accurate weather predictions. …”
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  14. 74

    Soil Moisture Time Series Using Gamma‐Ray Spectrometry Detection Representing a Scale of Tens‐of‐Meters by Mie Andreasen, Steven Van derVeeke, Han Limburg, Ronald Koomans, Majken Caroline Looms

    Published 2025-06-01
    “…A high accuracy was also found for Th‐232 and Cs‐137 estimated soil moisture time series using the Becker equation, with rmse‐values of 0.033 [‐] and 0.040 [‐], respectively. …”
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  15. 75

    The effect of temperature and soil moisture on carbon dioxide emission caused by various primary tillage methods in the Trans-Urals by E. A. Demin, S. S. Miller

    Published 2025-03-01
    “…There has been studied the effect of tillage methods on the temperature regime and soil moisture under spring wheat crops in 2023–2024. There has been found that soil temperature and moisture greatly depend on weather conditions and ranged from 6.8–20.7 °C to 12.0–36.1 %. …”
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  16. 76

    Effect of Crumb Rubber on the Moisture and Rutting Behavior of Low-Energy Asphalt and Determining the Best Flow Number Model by Saeid Moghimi, Gholamali Shafabakhsh, Hassan Divandari

    Published 2023-01-01
    “…According to previous studies, the influence of crumb rubber (CR) on the rutting and moisture performances of LEAs has not been investigated so far. …”
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  17. 77

    Research on the Influence of Moisture in the Solid Insulation Impregnated with an Innovative Bio-Oil on AC Conductivity Used in the Power Transformers by Pawel Zukowski, Konrad Kierczynski, Przemyslaw Rogalski, Pawel Okal, Marek Zenker, Rafal Pajak, Marek Szrot, Pawel Molenda, Tomasz N. Koltunowicz

    Published 2024-10-01
    “…It was found that the values of activation energy of conductivity and relaxation time are equal and independent of moisture content, frequency, and temperature. …”
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  18. 78

    Machine Learning-Based Prediction of Summer Extended-Range Precipitation and Possible Contribution of Soil Moisture over China by Yuchen YE, Haishan CHEN, Siguang ZHU, Yinshuo DONG

    Published 2024-02-01
    “…Low accuracy of extended forecast remains an important scientific problem in the current stage, and qualified extended forecast is of great significance for disaster prevention and mitigation.In this study, the machine learning method was used to forecast the summer precipitation during the extension period (5~30 days) in China, and explore the possible contribution of soil moisture to extended forecast of precipitation.Based on the results, machine learning methods remarkably outweigh traditional linear models in terms of forecast accuracy, with Catboost, Lightgbm and Adaboost being the optimal machine learning methods.According to further analysis, the abnormal evaporation and sensible heat anomaly caused by the surface soil moisture anomaly in the Yangtze River Basin can lead to the atmospheric circulation and vertical movement anomaly, which eventually affects summer precipitation.The set of three optimal machine learning methods was applied to calculate the contribution rate of each forecasting factor in the model.It was found that the local soil moisture dominated the extended precipitation in the Yangtze River Basin from the 5th day to the 10th day, while the local soil moisture played a dominant role on previous precipitation from the 10th day to the 15th day, and the extended precipitation in the Yangtze River Basin during the period of Day 20~30 was basically controlled by large-scale circulation.Besides, the influence of non-local soil moisture on extended precipitation was evaluated, the results of which showed that the surface soil moisture in Indo-China Peninsula mainly contributed to the extended precipitation in the Yangtze River Basin from the 15th day to the 30th day.By adding the surface soil moisture of Indo-China Peninsula to the extended precipitation model in Northeast China, it was found that surface the soil moisture failed to improve the extended forecast accuracy of precipitation in this area, which verified the availability of the machine learning model.This study provides a certain reference for forecasting precipitation in the extended period and exploring the contribution rate of forecasting factors.…”
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  19. 79

    Effect of Microwave, Infrared and Freeze Drying Methods on Drying Kinetics, Effective Moisture Diffusivity and Color Properties of Turmeric by Nazmi Izlı, Onur Taskın

    Published 2019-09-01
    “…Depending on the evaluation of the statistical tests, models of Midilli et al and Wang &amp; Singh models were found the optimum ones for explaining drying characteristics of turmeric. …”
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  20. 80

    Effects of N fertilizer and soil moisture levels in winter on flowering and yield in mat rush (Juncus effusus L.) by SHEN Wei-qi, ZHANG Guo-ping, GUI Wen-guang, CHEN Hui

    Published 2002-03-01
    “…The experiments were conducted to study the effects of N fertilizer and soil moisture levels in winter on stem flowering percentage and yield in Mat Rush (Juncus effusus L.). …”
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