Analysis of crop water requirement and its influencing factors are important for optimal allocation of water resources. However, research on variations of climatic factors and their contribution to wheat water requirement in Xinjiang is insufficient. In our study, daily meteorological data during 1961‒2017 in Xinjiang was collected. Penman-Monteith formula and crop coefficient method was adopted to calculate wheat water requirement. Mann-Kendall mutation test and grey correlation degree analysis were used to investigate variation characteristics and correlation degree between climatic factors and wheat water requirement. The results showed that wheat water requirement ranged from 511 to 548 mm (average = 529.5 mm). Spatial distribution of wheat water requirement in Xinjiang presented a pattern of "southeast > Northwest, east > west". Wheat water requirement in most areas of Xinjiang showed a decreasing trend. During the whole growth period of wheat, the top five climatic factors affecting wheat water requirement in Xinjiang were ET, T, T, sunshine duration, and U. Precipitation and relative humidity negatively impacted wheat water requirement, while reference crop evapotranspiration (ET), mean wind speed (U), mean temperature (T), maximum temperature (T), minimum temperature, and sunshine duration had positive effects. This study provides a comprehensive basis for the decision making of efficient agricultural water use and irrigation measures in Xinjiang.
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http://dx.doi.org/10.1007/s10661-025-13619-0 | DOI Listing |
PLoS One
January 2025
Lecturer College of Civil and Traffic Engineering, Henan University of Urban Construction, Ping Dingshan, China.
Moisture content profoundly influences the engineering properties of expansive soil, a critical consideration in various geotechnical applications. This study delves into the intricate relationship between water content and the physical properties of bentonite, a key constituent of expansive soil. Through a comprehensive analysis encompassing fundamental physical properties, rheological characteristics, permeability behavior, and microscopic features, we elucidate the complex interplay between water content and bentonite behavior.
View Article and Find Full Text PDFJ Chem Theory Comput
January 2025
Lehrstuhl für Theoretische Chemie II, Ruhr-Universität Bochum, Bochum 44780, Germany.
Training accurate machine learning potentials requires electronic structure data comprehensively covering the configurational space of the system of interest. As the construction of this data is computationally demanding, many schemes for identifying the most important structures have been proposed. Here, we compare the performance of high-dimensional neural network potentials (HDNNPs) for quantum liquid water at ambient conditions trained to data sets constructed using random sampling as well as various flavors of active learning based on query by committee.
View Article and Find Full Text PDFEnviron Monit Assess
January 2025
School of Energy and Power Engineering, Xihua University, No. 9999 Hongguang Street, Chengdu, 610039, Sichuan Province, China.
Analysis of crop water requirement and its influencing factors are important for optimal allocation of water resources. However, research on variations of climatic factors and their contribution to wheat water requirement in Xinjiang is insufficient. In our study, daily meteorological data during 1961‒2017 in Xinjiang was collected.
View Article and Find Full Text PDFEnviron Monit Assess
January 2025
Science and Technology Branch, Pacific Environmental Science Centre, Environment and Climate Change Canada, Pacific and Yukon Laboratory for Environmental Testing, North Vancouver, BC, Canada.
Spilled plant-based oils behave very differently in comparison to petroleum oils and require different clean-up measures. They do not evaporate, disperse, dissolve, or emulsify to a significant degree but can polymerize and form an impermeable cap on sediment, smothering benthic media and resulting in an immediate impact on the wildlife community. The current study explored the application of rapid up-to-date direct analysis in real time (DART) with high-resolution mass spectrometry for plant-based oil typing.
View Article and Find Full Text PDFAstrobiology
January 2025
Department of Earth and Planetary Sciences, Birkbeck University of London, London, United Kingdom.
Eccentric planets may spend a significant portion of their orbits at large distances from their host stars, where low temperatures can cause atmospheric CO to condense out onto the surface, similar to the polar ice caps on Mars. The radiative effects on the climates of these planets throughout their orbits would depend on the wavelength-dependent albedo of surface CO ice that may accumulate at or near apoastron and vary according to the spectral energy distribution of the host star. To explore these possible effects, we incorporated a CO ice-albedo parameterization into a one-dimensional energy balance climate model.
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