Опубликована: Янв. 1, 2024
Язык: Английский
Опубликована: Янв. 1, 2024
Язык: Английский
Journal of Environmental Management, Год журнала: 2024, Номер 353, С. 120193 - 120193
Опубликована: Фев. 1, 2024
Язык: Английский
Процитировано
23IEEE Transactions on Geoscience and Remote Sensing, Год журнала: 2023, Номер 61, С. 1 - 12
Опубликована: Янв. 1, 2023
Extreme precipitation events have caused severe societal, economic and environmental impacts through the disasters of floods, flash-floods landslides. However, coarse-resolution satellite-derived data makes it difficult to quantitatively capture certain fine-scale heavy rainfall process. Therefore, improve spatial resolution accuracy satellite-based extremes, a downscaling-calibration scheme based on eXtreme Gradient Boosting (XGBoost_DC) was proposed in this study, where XGBoost algorithm applied both downscaling calibration procedures. The performance XGBoost_DC evaluated with other two comparative methods, which only used either (XGBoost_Spline) or (Spline_XGBoost) results showed that: (i) achieved best performance, as obtained highest well reproduced occurrence distribution during typhoon events. (ii) could variations precipitation. Although Spline_XGBoost slightly worse than XGBoost_DC, significantly underestimated variability. (iii) model assessment between illustrated essential contribution process, improved our understanding capability machine learning reproducing variance These findings imply that can be for generating high-resolution high-quality extremes events, would benefit water flood management, various applications hydrological meteorological modelling.
Язык: Английский
Процитировано
22Sustainability, Год журнала: 2024, Номер 16(2), С. 619 - 619
Опубликована: Янв. 10, 2024
Land use/cover change (LUCC) can impact the provision of ecosystem service values (ESVs), particularly in wetland regions that are subject to frequent and unsustainable land conversions. Exploring past future trajectory LUCC its effects on ESV has a great significance for management habitat stability. This study tried reveal patterns magnitude under varying development scenarios Yellow River Delta region, which is typical region undergoing serious degradation China. In this study, combined approach utilizing equivalent coefficients services was employed determine relation major use types (LUTs). The Markov–FLUS model then used simulate LUTs across multiple 2030 clarify relationship between other LUTs. results indicated severely degraded, with loss area 6679.89 ha 2000 2020. Cropland water body were main sources diversion turnover wetland, respectively. Despite scenario projections revealed, exhibited similar growth rate homogeneity natural (ND), urban construction (UCD), ecological (ED) scenarios. ED deemed optimal strategy ecosystem. Our research will improve comprehension decisions promote sustainable estuarine areas.
Язык: Английский
Процитировано
7International Journal of Applied Earth Observation and Geoinformation, Год журнала: 2024, Номер 132, С. 104012 - 104012
Опубликована: Июль 13, 2024
The Guangxi Beibu Gulf Economic Zone (GBGEZ) and Guangdong–Hong Kong–Macao Greater Bay Area (GBA) have rich wetlands. However, long-term maps with detailed wetland types in these two regions are scarce, studies on the driving forces of changes insufficient. To this end, our study produced to explore dynamics their forces. From 1990 2020, mangrove, tidal flat, coastal shallow water reservoir had similar change trends metropolitan areas. For GBGEZ between serious degradation, slight obvious restoration areas 569.23 km2, 426.89 274.83 km2 375.78 respectively; for GBA, four 986.80 1854.63 547.34 2183.57 respectively. Overall, degradation GBA were significantly larger than that GBGEZ. Sample-based analysis indicated mainly attributed direct drivers, suffering more from influence drivers. Specifically, over 90 % degradations 89 restorations affected by drivers (e.g. aquaculture). Serious most land reclamation) 2010 indirect 2020 shrinkage). restorations, them factors expansion) while new reservoir). could offer valuable information support protection urban sustainable development.
Язык: Английский
Процитировано
7Ecological Indicators, Год журнала: 2023, Номер 156, С. 111040 - 111040
Опубликована: Окт. 16, 2023
Ecosystem services (ES) play a crucial role in the sustainable development of human society. It is essential to clarify impact land use changes on ES facilitate sound spatial planning. This study focuses Ji'an area Jiangxi Province as research subject. The Future Land Use Simulation (FLUS) model employed under 'Production-life-ecological space' (PLES) policy scenario simulate from 2020 2040. A comprehensive evaluation index for ecosystem (CES) constructed based existing policies and ecological conditions City. then integrated into FLUS-InVEST framework various scenarios future. results reveal that living space priority (LSP) scenario, construction exhibits highest growth rate, reaching 59.8%. Under (ESP) forest projected increase by 0.54%. Only Productive Space Priority (PSP) will cultivated experience an increase, at rate 3.69%. Notably, CES remains relatively stable only ESP while declining all other (ranging 1.19% 1.83%). Based simulation calculations, Comprehensive Development (CD) plan proposed, aiming optimize coordination among production, living, spaces restoration services. Compared 'business usual' (BAU) value CD expected 0.61%. In summary, this paper presents exploratory combines with unique region innovative way. proposed planning recommendations future contribute deeper understanding socio-economic activities environment.
Язык: Английский
Процитировано
15Journal of Industrial Ecology, Год журнала: 2025, Номер unknown
Опубликована: Янв. 8, 2025
Abstract Land use changes, especially urban land expansion, exert a profound effect on nitrogen (N) cycles in the interconnected human–natural systems, altering distribution and intensity of N emissions resulting from anthropogenic activities. However, few studies have revealed dynamic response to diverse changes at regional scale. This study developed holistic spatial metabolism framework that combines land‐use classification, N‐flow modeling, analysis examine heterogeneous land‐related transitions across cities timeframes fine resolution. Using Guangdong–Hong Kong–Macao Greater Bay Area (GBA) as case, we observed drastic expansion built‐up during 1990–2018, mainly converted cropland (81.35%) forest (9.55%). Intensified became increasingly concentrated densely populated areas croplands GBA's western peripheral cities. conversion contributed most rise emissions, totaling 368.2 Gg period. The increase emission associated with gradually fell over time due enhanced removal waste treatment, while exploitation water wetland exhibited highest average increased 35.01 t N/km 2 after 2010. Our findings highlight need for tailored collaborative management strategies adapt different development stages local conditions mitigate pollution fast‐urbanizing bay area.
Язык: Английский
Процитировано
0Agriculture, Год журнала: 2025, Номер 15(3), С. 346 - 346
Опубликована: Фев. 6, 2025
Ecosystem service value (ESV) reflects ecosystem functions and benefits; however, the factors influencing ESV mechanisms driving it in wetlands non-wetlands are not yet fully understood. The Yellow River Delta (YRD) is distinguished by presence of numerous wetland areas that both Reserve non-Reserve thus was selected as designated study area. In this study, spatiotemporal structures YRD between 2000 2020 were studied using land cover change analysis equivalent factor methodology. addition, we analyzed drivers behind geographical variability applying Geographical Detector method. results showed structure National Nature relatively stable, whereas area exhibited greater fluctuations; is, decreased 11.43% compared with more stable areas, where 4.93%. Furthermore, disparities distribution use types gave rise to a discernible spatial overall ESV, northeast exhibiting significantly higher levels southwest. Additionally, past two decades, center gravity regions has shifted towards urban centers, have migrated coastline. Normalized Difference Vegetation Index identified main driver heterogeneity. findings highly relevant regional ecological conservation promotion economic social development.
Язык: Английский
Процитировано
0Journal of Cleaner Production, Год журнала: 2025, Номер unknown, С. 145133 - 145133
Опубликована: Фев. 1, 2025
Язык: Английский
Процитировано
0Environmental Science and Pollution Research, Год журнала: 2024, Номер 31(6), С. 9512 - 9534
Опубликована: Янв. 8, 2024
Язык: Английский
Процитировано
3Ecological Indicators, Год журнала: 2024, Номер 158, С. 111584 - 111584
Опубликована: Янв. 1, 2024
Due to climate change and socio-economic development, the growth distribution of wetland vegetation have been destroyed, resulting in a degradation trend ecosystem. It is critical simulate variations normalized difference index (NDVI) patterns under changing environments guide targeted restoration protection. Considering that current NDVI pattern simulation focused only on linear driving forces nature or society had low efficiency, an integrated framework with dual society-nature drives was proposed. In framework, spatial were simulated by system dynamics-future land use (SD-FLUS) random forest (RF) models, respectively. Baiyangdian Wetland North China taken as case study, its typical vegetation—reed—was object. The effects ecological protection policies. results showed affected social factors, while natural factors. aggregations Besides, space reeds easily encroached existing development If policies implemented, reed area would be restored, but status poorer, requiring further measures more attention sensitive areas. This study provides new research perspective for simulating scientific supports refined management vegetation.
Язык: Английский
Процитировано
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