Published: Jan. 1, 2024
Language: Английский
The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 926, P. 171630 - 171630
Published: March 19, 2024
Language: Английский
Citations
27
Journal of Hydrology Regional Studies, Journal Year: 2024, Volume and Issue: 52, P. 101716 - 101716
Published: Feb. 24, 2024
Language: Английский
Citations
14
Ecological Indicators, Journal Year: 2024, Volume and Issue: 160, P. 111823 - 111823
Published: March 1, 2024
Exploring the spatiotemporal impacts of climate change and human activities on freshwater resources through concepts blue green water can effectively improve sustainability basin resource management. However, previous relevant studies have not considered specific different models land use changes future simultaneously. To mitigate this issue, study proposes a hydrological modeling framework by integrating geographic detectors, Future Land Use Simulation (FLUS) models, Soil Water Assessment Tool (SWAT) model. This was capable identifying major driving factors changes, predicting patterns, assessing characteristics under scenarios distributions. Applying to Wei River Basin (WRB) in northwest China, it identified primary drivers WRB quantitatively analyzed four scenarios. The results show that: 1) FLUS model SWAT simulate runoff process with high simulation accuracy; 2) Precipitation, temperature GDP are main change; 3) amount middle lower reaches is significantly higher than that tributaries upper reaches. Blue flow more affected use, while storage sensitive change. provide effective information for planning rational allocation resources.
Language: Английский
Citations
13
The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 944, P. 173828 - 173828
Published: June 10, 2024
Language: Английский
Citations
11
Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)
Published: Feb. 1, 2025
Rapid socioeconomic growth has altered land use patterns, resulting in a surge worldwide CO2 emissions, triggering global climate challenges and adversely affecting human health, safety, sustainable development. As result, immediate action is required to undertake mitigation adaptation strategies. This study, based on the causal logic of change, blue-green space carbon uses system dynamics (SD) model, patch-generating simulation (PLUS) integrated valuation ecosystem service trade-offs (InVEST) models simulate evolution patterns predict spatial distribution storage Wuhan 2060 from 2030 under three SSP-RCP scenarios CMIP6 investigates their mechanisms. The findings show that across various scenarios, would decline over next 30 years, with green spaces decreasing some amount blue growing marginally. also expected due shrinking patterns. SSP126 scenario least shrinkage spaces, reduction 7.18Tg storage. Under SSP245 scenario, expansion non-blue-green encroaches an 8.13 Tg decrease Across SSP585 expand fastest, highest loss considerable drop 11.67 Tg. research extremely important for optimizing regional coordinating high-quality development Wuhan, assisting implementation urban change plans.
Language: Английский
Citations
1
Buildings, Journal Year: 2024, Volume and Issue: 14(7), P. 2165 - 2165
Published: July 14, 2024
Amidst the challenges posed by global climate change and accelerated urbanization, structure distribution of land use are shifting dramatically, exacerbating ecological land-use conflicts, particularly in China. Effective resource management requires accurate forecasts cover (LUCC). However, future trajectory LUCC, influenced remains uncertain. This study developed an integrated multi-scenario framework combining system dynamics patch-generating simulation models to predict LUCC high-density urban regions under various Shared Socioeconomic Pathway (SSP)–Representative Concentration (RCP) scenarios. The results showed following: (1) From 2020 2050, cultivated land, unused water projected decrease, while construction is expected increase. (2) Future patterns exhibit significant spatial heterogeneity across three Construction will expand all districts Hangzhou, main areas. Under SSP585 scenario, expansion most significant, it least SSP126 scenario. (3) Distinct factors drive different types. digital elevation model predominant factor for forest grassland, contributing 19.25% 30.76%, respectively. Night light contributes at 13.94% 20.35%, (4) average intensity (LUI) central markedly surpasses that surrounding suburban areas, with Xiacheng having highest LUI Chun’an lowest. area increased significantly smaller than SSP245 These findings offer valuable guidance sustainable planning built environment Hangzhou similarly situated centers worldwide.
Language: Английский
Citations
5
Land, Journal Year: 2025, Volume and Issue: 14(1), P. 76 - 76
Published: Jan. 3, 2025
Vegetation is a fundamental component of terrestrial ecosystems, and accurately assessing the effects seasonal climate variations, extreme weather events, land use changes on vegetation dynamics crucial. The Ganjiang River Basin (GRB), key region for water conservation recharge in southeastern China, has experienced significant variable past. However, comprehensive evaluations how these have impacted remain limited. To address this gap, we used machine learning models (random forest XGBoost) to assess impact variables, cover, topography, soil properties, atmospheric CO2, night-time light intensity dynamics. We found that annual mean NDVI showed slight increase from 1990 1999 but decreased significantly over last 8 years. XGBoost was better than RF model simulating when using all five types data source (R2 = 0.85; RMSE 0.04). most critical factors influencing were cropland ratio, followed by organic carbon content, elevation, cation exchange capacity, intensity, CO2 concentration. Spring minimum temperature important variable. Both linear nonlinear relationships identified between variables NDVI, with exhibiting threshold effects. These findings underscore need develop implement effective management strategies enhance health promote ecological balance region.
Language: Английский
Citations
0
Transactions in Earth Environment and Sustainability, Journal Year: 2025, Volume and Issue: unknown
Published: Jan. 6, 2025
In the context of global climate change and intensifying human activities, effective management urban ecosystem services (ESs) is crucial for achieving sustainable development goals. Urbanization-induced land use are two primary drivers altering UESs. However, previous studies have predominantly focused on historical expansion effects UESs, leaving future evolution scenarios their relative impacts underexplored. This study investigates Pearl River Delta agglomeration as a case area, examining five UESs: water yield (WY), soil conservation (SC), purification (WP), flood risk mitigation (FM), cooling (UC). The results revealed that all exhibited high values in peri-urban areas low core Delta. WY, FM, UC showed an overall increasing trend, while SC WP fluctuating trends from 1990 to 2050. Changes were influenced by change, accounting 76.24% total whereas WP, primarily affected over 67.16% area. 2035 2050, impact varied most across different Shared Socio-economic Pathway (SSP) scenarios. significant differences areas, indicating sensitivity urbanization-induced disturbances.
Language: Английский
Citations
0
Journal of Environmental Management, Journal Year: 2025, Volume and Issue: 375, P. 124412 - 124412
Published: Feb. 1, 2025
Language: Английский
Citations
0
Environmental Impact Assessment Review, Journal Year: 2025, Volume and Issue: 112, P. 107841 - 107841
Published: Feb. 3, 2025
Language: Английский
Citations
0