The Heihe River Basin, located in the northeastern part of the Qinghai-Tibetan Plateau, is part of the perennial permafrost belt of the Qilian Mountains. Recent observations indicate ongoing permafrost degradation in this region. This study utilizes data from 255 observations provided by Sentinel-1 satellites, MODIS Land Surface Temperature, SMAP-L4 soil moisture data, GNSS measurements, and in situ measurement. We introduced Variational Bayesian independent Component Analysis (VB-ICA) in multi-temporal Interferometric Synthetic Aperture Radar (MT-InSAR) processing to investigate the spatial-temporal characteristics of surface deformation and permafrost active layer thickness (ALT) variations. The analysis demonstrates strong agreement with borehole data and offers improvements over traditional methodologies. The maximum value of ALT in the basin is found to be 5.7 m. VB-ICA effectively delineates seasonal deformations related to the freeze-thaw cycles, with a peak seasonal deformation amplitude of 60 mm. Moreover, the seasonal permafrost's lower boundary reaches an elevation of 3700 m, revealing that permafrost is experiencing widespread degradation and associated soil erosion in the high elevation region of The Heihe River Basin. The paper also explores the efficacy of reference point selection and baseline network establishment for employing the InSAR method in monitoring freeze-thaw deformations. The study underscores the InSAR method's adaptability and its importance for interpreting permafrost deformation and related parameters.
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http://dx.doi.org/10.1016/j.scitotenv.2024.175667 | DOI Listing |
J Texture Stud
February 2025
MED-Mediterranean Institute for Agriculture, Environment and Development & CHANGE-Global Change and Sustainability Institute, Universidade de Évora, Évora, Portugal.
Assessment of sea lamprey texture from the Guadiana and Mondego River basins. Lamprey has served as food for centuries, and nowadays it is highly appreciated, mainly in southern European countries. Therefore, the quality requirements of the lamprey are closely scrutinized by consumers.
View Article and Find Full Text PDFEnviron Sci Pollut Res Int
January 2025
University of Costa Rica, San Antonio de Coronad, San José, Costa Rica.
Environ Res
January 2025
Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; Earth Critical Zone and Flux Research Station of Xing'an Mountains, Chinese Academy of 15 Sciences, Daxing'anling 165200, China; College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 10049, China. Electronic address:
Accurate quantifying of methane (CH) emissions is a critical aspect of current research on regional carbon budgets. However, due to limitations in observational data, research methodologies, and an incomplete understanding of process mechanisms, significant uncertainties persist in the assessment of wetland CH fluxes in China. In this study, we developed a machine learning model by integrating measured CH fluxes with related environmental data to produce a high-resolution (1 km) dataset of CH fluxes from China's wetlands for the period 2000-2020.
View Article and Find Full Text PDFEnviron Sci Pollut Res Int
January 2025
Department of Animal Sciences, Central University of Himachal Pradesh, Kangra, 176206, Himachal Pradesh, India.
Environmental factors play a fundamental role in shaping fish assemblage in aquatic ecosystems. The present study describes the fish assemblage structure on the spatial scale in Pong Reservoir, which lies in foothills of the Northwestern Himalaya within the river Beas basin. Through sophisticated enviro assessment techniques, using ArcGIS mapping, this study provides valuable insight into how physicochemical factors shape the fish assemblage in the reservoir.
View Article and Find Full Text PDFEnviron Sci Ecotechnol
January 2025
Earth Systems and Global Change Group, Environmental Sciences Department, Wageningen University & Research, Droevendaalsesteeg 4, Wageningen, 6708 PB, the Netherlands.
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