Trend Analysis of High-Resolution Soil Moisture Data Based on GAN in the Three-River-Source Region During the 21st Century DOI Creative Commons
Zhuoqun Li, Siqiong Luo, Xiaoqing Tan

et al.

Remote Sensing, Journal Year: 2024, Volume and Issue: 16(23), P. 4367 - 4367

Published: Nov. 22, 2024

Soil moisture (SM) is a crucial factor in land-atmosphere interactions and climate systems, affecting surface energy, water budgets, weather extremes. In the Three-River-Source Region (TRSR) of China, rapid change necessitates precise SM monitoring. This study employs novel UNet-Gan model to integrate downscale data from 17 CMIP6 models, producing high-resolution (0.1°) dataset called CMIP6UNet-Gan. includes for five depth layers (0–10 cm, 10–30 30–50 50–80 80–110 cm), four Shared Socioeconomic Pathways (SSP1-2.6, SSP2-4.5, SSP3-7.0, SSP5-8.5). The demonstrates strong performance fusion downscaling, especially shallow soil layers. Analysis CMIP6UNet-Gan reveals an overall increasing trend across all layers, with higher rates under more intense emission scenarios. Spatially, increases vary, significant trends western Yangtze northeastern Yellow River regions. Deeper soils show slower response change, seasonal variations indicate that are most pronounced spring winter, followed by autumn, least increase observed summer. Future projections suggest early late 21st century compared mid-century. By end this (2071–2100), Historical period (1995–2014), ranges from: 5.5% 11.5%, 4.6% 9.2%, 4.3% 7.5%, 4.5% 3.3% 6.5%, respectively.

Language: Английский

Bibliometric Analysis of Desertification in the Period from 1974 to 2024 Based on the Scopus Database DOI Creative Commons

Arslan Berdyyev,

Yousef A. Al-Masnay,

Mukhiddin Juliev

et al.

Land, Journal Year: 2025, Volume and Issue: 14(3), P. 496 - 496

Published: Feb. 27, 2025

Desertification remains a critical global issue driven by climate change, unsustainable land use, and socio-economic pressures. This bibliometric review provides an in-depth analysis of desertification research from 1974 to 2024 using the Scopus database identify trends, key players, methodological advances. Publications grew exponentially during this period, 21 in peak 186 2023, demonstrating growing academic policy attention. The found that 4178 authors contributed 2004 peer-reviewed articles, with China emerging as leading hub, contributing 386 publications efforts environmental restoration projects such Great Green Wall. Advanced methodologies, including remote sensing geographic information systems (GIS), have facilitated large-scale monitoring, despite challenges data inconsistencies limited resolution. Institutions Guizhou Normal University Lanzhou led effort, publishing 316 124 publications, respectively. Influential journals, Land Degradation Development Journal Arid Environments, played role shaping discourse. Historical has highlighted persistent threat human societies, exemplified decline civilizations Sumerian Khorezmian. Despite significant progress, regional differences attention persist, Central Asia receiving its vulnerability. highlights need for standardized interdisciplinary approaches, enhanced international collaboration. By leveraging advanced technologies sustainable management practices, community can mitigate impacts desertification, promoting resilience ecosystems communities while moving toward degradation neutrality.

Language: Английский

Citations

1
Trend Analysis of High-Resolution Soil Moisture Data Based on GAN in the Three-River-Source Region During the 21st Century DOI Creative Commons
Zhuoqun Li, Siqiong Luo, Xiaoqing Tan

et al.

Remote Sensing, Journal Year: 2024, Volume and Issue: 16(23), P. 4367 - 4367

Published: Nov. 22, 2024

Soil moisture (SM) is a crucial factor in land-atmosphere interactions and climate systems, affecting surface energy, water budgets, weather extremes. In the Three-River-Source Region (TRSR) of China, rapid change necessitates precise SM monitoring. This study employs novel UNet-Gan model to integrate downscale data from 17 CMIP6 models, producing high-resolution (0.1°) dataset called CMIP6UNet-Gan. includes for five depth layers (0–10 cm, 10–30 30–50 50–80 80–110 cm), four Shared Socioeconomic Pathways (SSP1-2.6, SSP2-4.5, SSP3-7.0, SSP5-8.5). The demonstrates strong performance fusion downscaling, especially shallow soil layers. Analysis CMIP6UNet-Gan reveals an overall increasing trend across all layers, with higher rates under more intense emission scenarios. Spatially, increases vary, significant trends western Yangtze northeastern Yellow River regions. Deeper soils show slower response change, seasonal variations indicate that are most pronounced spring winter, followed by autumn, least increase observed summer. Future projections suggest early late 21st century compared mid-century. By end this (2071–2100), Historical period (1995–2014), ranges from: 5.5% 11.5%, 4.6% 9.2%, 4.3% 7.5%, 4.5% 3.3% 6.5%, respectively.

Language: Английский

Citations

0