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Geo-informatic spectrum analysis method was used to understand the complex geogra-phical phenomena concisely in graphic language. It is important for the integration research on spatial pattern and temporal process of land use change over multiple temporal and space scales. Based on remote sensing images in 1975, 1990, 1995, 2000, 2005, 2010 and 2015, we built the geo-spectrum of land use/cover change (LUCC) and quantitatively analyzed both the process and rend of LUCC in Manas River Basin. Results showed that the range of land use change in this basin was gradually decreasing, and land use structure tended to be simplistic, then tended to stable in later stage during 1975-1990. At the same period, the area of grassland increased greatly, which was mainly derived from unused land. The area of cultivated land expanded from 1990 to 2015, which mainly converted from unused land, forestland, and grassland. The geo-spectrum of land use change model showed that prophase change type, anaphase change type and continuous change type accounted for 1.3% of the total basin area. The overall characteristics of geo-spectrum unit were dominated by unused land converted to cultivated land, forestland and grassland. The land use change process was relatively stable. The Manas River Basin was covered 61.2% by region with comparatively stable spatial pattern. The most frequent way of land use change was increasingly expanding of cultivated land, which was displayed as: Liumaowan Bay Town of Shawan County and Liuhudi Town of Manas County were the center, then expanded to the two sides and spread to the Gurbantunggut Desert. The construct geo-spectrum of LUCC enriched the LUCC spatial-temporal analysis method system and provided an effective approach for the future research of LUCC under multiple temporal and spatial scales.
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http://dx.doi.org/10.13287/j.1001-9332.201911.017 | DOI Listing |
Environ Monit Assess
September 2025
School of Civil Engineering, Putian University, Putian City, 351100, China.
Land degradation (LD) is a critical environmental challenge caused by human activities and climate change. Reversing degraded land requires effective LD monitoring. The UN Sustainable Development Goal (SDG) indicator 15.
View Article and Find Full Text PDFEnviron Monit Assess
September 2025
Institute of Earth Sciences, Southern Federal University, Rostov-On-Don, Russia.
Sustainable urban development requires actionable insights into the thermal consequences of land transformation. This study examines the impact of land use and land cover (LULC) changes on land surface temperature (LST) in Ho Chi Minh city, Vietnam, between 1998 and 2024. Using Google Earth Engine (GEE), three machine learning algorithms-random forest (RF), support vector machine (SVM), and classification and regression tree (CART)-were applied for LULC classification.
View Article and Find Full Text PDFUltrasonics
September 2025
Faculty of Land Resource Engineering, Kunming University of Science and Technology, Yunnan 650093, China; Key Laboratory of Geohazard Forecast and Geoecological Restoration in Plateau Mountainous Area, Ministry of Natural Resources of the People's Republic of China, Yunnan Province, Kunming, Yunnan
Identifying and predicting the catastrophic failure of brittle rock remains a challenging task, yet it is crucial for developing early warning systems and preventing dynamic rock hazards. In this study, we employed the propagative parameters of ultrasonic waves and information from acoustic emission (AE) events to characterize the brittle failure of a flawed sandstone sample under uniaxial compression. A sliding event window method was developed to obtain the temporal b-value, effectively revealing microcrack growth based on the frequency-magnitude distribution of AE events.
View Article and Find Full Text PDFMar Pollut Bull
September 2025
CSIR-National Institute of Oceanography, Dona Paula, Goa, 403004, India; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, 201002, India.
The Indian Sundarban Delta (ISD), located at the confluence of the Ganga-Brahmaputra-Meghna river system along India's eastern coast, is among the world's most geomorphologically dynamic and environmentally vulnerable deltaic systems. Over the past five decades, the region has undergone substantial morphodynamic changes driven by natural forces such as relative sea-level rise, wave action, and sediment flux, as well as anthropogenic factors like upstream water regulation via dams and barrages. This study examines the long-term evolution of shoreline and island morphology across the ISD from 1972 to 2025 using multi-temporal Landsat datasets under consistent tidal conditions.
View Article and Find Full Text PDFIntegr Environ Assess Manag
September 2025
School of Public Health, Taipei Medical University, New Taipei City, 235040Taiwan.
Incorporating bioaccessibility into health risk assessments enhances the accuracy of exposure estimates for heavy metal (HM) pollution, supports targeted remediation, and informs public health and policy decisions, particularly for vulnerable populations. Because HM bioaccessibility depends on local soil and geographic characteristics, identifying its relationship with soil properties is crucial for assessing soil pollution potential. Although HM concentrations can be measured relatively easily, bioaccessibility requires complex laboratory procedures, limiting routine applications in regulatory contexts.
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