Modern cartography, Journal Year: 2024, Volume and Issue: unknown, P. 677 - 700
Published: Jan. 1, 2024
Language: Английский
Journal of Cleaner Production, Journal Year: 2025, Volume and Issue: unknown, P. 145389 - 145389
Published: March 1, 2025
Language: Английский
Citations
0
Journal of Environmental Management, Journal Year: 2025, Volume and Issue: 382, P. 125450 - 125450
Published: April 18, 2025
Language: Английский
Citations
0
Land, Journal Year: 2024, Volume and Issue: 13(5), P. 608 - 608
Published: April 30, 2024
Intensive economic and human activities present challenges to the carbon storage capacity of terrestrial ecosystems, particularly in arid regions that are sensitive climate change ecologically fragile. Therefore, accurately estimating simulating future changes stocks on northern slope belt Tianshan Mountains (NSEBTM) holds great significance for maintaining ecosystem stability, achieving high-quality development belt, realizing goal “carbon neutrality” by 2050. This study examines spatiotemporal evolution characteristics NSEBTM from 1990 2050, utilizing a combination multi-source data integrating Patch-generating Land use Simulation (PLUS) Integrated Valuation Ecosystem Services Trade-offs (InVEST) models. Additionally, an attribution analysis stock is conducted leveraging land data. The findings demonstrate (1) predominantly consists underutilized land, accounting more than 60% total area NSEBTM. Unused grassland, water bodies exhibit declining trend over time, while other forms increasing trend. (2) Grassland serves as primary reservoir NSEBTM, with grassland degradation being leading cause loss amounting 102.35 t past three decades. (3) Under ecological conservation scenario 2050 compared natural scenario, there was net increase 12.34 t; however, under decrease 25.88 t. By quantitatively evaluating its impact projected next 30 years, this paper provides scientific references precise support territorial spatial decision making thereby facilitating achievement goals.
Language: Английский
Citations
2
Sustainability, Journal Year: 2023, Volume and Issue: 15(24), P. 16748 - 16748
Published: Dec. 12, 2023
The synergistic improvement in urban resilience and low-carbon development level is significant for mitigating adapting to climate change, achieving the ‘dual carbon goal’ promoting sustainable development. By constructing a comprehensive evaluation index system of development, this study quantitatively measures Central Plains Urban Agglomeration (CPUA) from 2009 2021. Further, coupling coordination degree model geographical detector explore spatial temporal evolution pattern driving factors (CCD) results show following: (1) From 2021, shows good momentum continuous rise, distribution ‘high northeast low southwest’. Low-carbon characterized by trend ‘first decline then rise’, forming south northwest’. (2) CCD also rising trend. type mainly reluctant coordination. (3) correlation, agglomeration downward (4) economic scientific technological innovation are main two forces differentiation coordinated systems. In addition, explanatory power interaction various influencing was significantly enhanced. word, helpful clarify further between provide experience reference construction high-quality other agglomerations world.
Language: Английский
Citations
4
Environmental Monitoring and Assessment, Journal Year: 2024, Volume and Issue: 196(9)
Published: Aug. 16, 2024
Language: Английский
Citations
1
Remote Sensing of Environment, Journal Year: 2024, Volume and Issue: 313, P. 114378 - 114378
Published: Aug. 24, 2024
Language: Английский
Citations
1
Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)
Published: Oct. 22, 2024
Net primary productivity (NPP) is an important parameter reflecting vegetation growth, and water one of the necessary factors for growth. Investigating mutual influence between NPP significant ensuring stable development ecological environment. This study focuses on Yangtze River Basin (YRB) as research area, based medium-resolution imaging spectrometer (MODIS) data, climate gravity recovery experiment (GRACE) spatiotemporal evolution characteristics terrestrial storage (TWS) in YRB from 2000 to 2022 are explored analyzes with TWS. The results show that (4.10 gC·m−2·a−1) TWS (0.55 mm) have exhibited increasing trend 2022, a strong correlation two, which related recent environmental policies. Analysis impact reveals temperature significantly positively changes. Furthermore, comparisons indicate changes substantially promote plant In addition, comparison indicates promoting effect Surface (SWS) soil (SM) but lag, while consumption groundwater (GWS) has been growth without lag.
Language: Английский
Citations
1
Virology, Journal Year: 2024, Volume and Issue: 593, P. 110015 - 110015
Published: Feb. 11, 2024
Language: Английский
Citations
0
Published: May 27, 2024
Abstract. Urban floods present a threat in China, demanding an understanding of their spatiotemporal distribution. Current flood datasets primarily offer provincial-scale insights and lack temporal continuity, which leads to challenge detailed analysis. To create consistent national dataset events, this study introduces machine learning framework by applying online news media as primary data source construct county-level urban events from 2000 2022. Using the Bidirectional Encoder Representations Transformers (BERT) model, we achieved robust performance information extraction, with F1 score 0.86 exact match 0.82. Further, combined model Long Short-term Memory (BiLSTM) networks Conditional Random Field (CRF) layer effectively identified locations. Our analysis reveals that trend flooded cities news-based is similar China Flood Drought Bulletin. Furthermore, consistency typhoon trajectory two cases, connection between occurrences conditioning factors, confirm accuracy spatial The validated analyzes both perspectives. First, shows seasonal characteristics are concentrated summer. From 2022, peak year for was 2010, excluding influence year, overall total occurrence increase. Spatially, distribution decreases southeast northwest, Guangxi Province having highest number floods. Additionally, Yangtze Pearl River basins most frequently affected subtropical climate zone susceptible flooding. This provides automated effective method constructing event flooding China.
Language: Английский
Citations
0
Published: June 24, 2024
Abstract. Urban floods present a threat in China, demanding an understanding of their spatiotemporal distribution. Current flood datasets primarily offer provincial-scale insights and lack temporal continuity, which leads to challenge detailed analysis. To create consistent national dataset events, this study introduces machine learning framework by applying online news media as primary data source construct county-level urban events from 2000 2022. Using the Bidirectional Encoder Representations Transformers (BERT) model, we achieved robust performance information extraction, with F1 score 0.86 exact match 0.82. Further, combined model Long Short-term Memory (BiLSTM) networks Conditional Random Field (CRF) layer effectively identified locations. Our analysis reveals that trend flooded cities news-based is similar China Flood Drought Bulletin. Furthermore, consistency typhoon trajectory two cases, connection between occurrences conditioning factors, confirm accuracy spatial The validated analyzes China both perspectives. First, shows seasonal characteristics are concentrated summer. From 2022, peak year for was 2010, excluding influence year, overall total occurrence increase. Spatially, distribution decreases southeast northwest, Guangxi Province having highest number floods. Additionally, Yangtze Pearl River basins most frequently affected subtropical climate zone susceptible flooding. This provides automated effective method constructing event flooding China.
Language: Английский
Citations
0