Simulation and Prediction of Snowmelt Runoff in the Tangwang River Basin Based on the NEX-GDDP-CMIP6 Climate Model DOI Open Access
Yixin Zhang,

Geng-Wei Liu,

Changlei Dai

et al.

Water, Journal Year: 2024, Volume and Issue: 16(15), P. 2082 - 2082

Published: July 24, 2024

In this study, the future snowmelt runoff in chilly northeast region’s Tangwang River Basin was simulated and predicted using SWAT model, which built used based on NEX-GDDP-CMIP6 climate model. This study conducted a detailed analysis of spatial temporal distribution characteristics high-resolution DEM, land use, soil data, along with data from historical climatic scenarios. Using box plots Bflow digital filtering approach, first determined period before precisely defining periods. Sensitivity parameter rate determination ensured simulation accuracy correlation coefficients total validation were 0.75 0.76, Nashiness for both. The 0.73 0.74, 0.7 0.68 both, model good agreement measured data. It discovered that while temperatures indicate an increasing tendency across all scenarios, precipitation is to increase under SSP2-4.5 scenario. scenario decreasing trend regarding runoff, SSP1-2.6 SSP5-8.5 scenarios showed little overall change even decrease 6.35%. These differences evident monthly projections. Overall, findings point possibility that, despite having negligible effect hydrological cycle Basin, it may intensify frequency extreme weather events, creating difficulties management water resources issuing flood warnings. For purpose planning studying basin other basins cold regions, offers crucial scientific foundation. An in-depth great practical significance optimizing resource management, rational spring prevention, disaster mitigation provides valuable support research runoff.

Language: Английский

Potential geographical distribution of Cordyceps cicadae and its two hosts in China under climate change DOI Creative Commons
Jing M. Chen,

Donglan He

Frontiers in Microbiology, Journal Year: 2025, Volume and Issue: 15

Published: Jan. 15, 2025

Introduction The fungus Cordyceps cicadae is both edible and medicinal. Methods To acquire a thorough comprehension of its distribution in China, two host insects, Macrosemia pieli Platypleura kaempferi , were selected as biological factors potentially associated with distribution, the ENMTools program was utilized to ascertain principal environmental affecting suitable habitats. possible geographic distributions present well 2030s, 2050s, 2070s then predicted using optimized MaxEnt model. Results primary variables soil pH, mean diurnal range, annual precipitation, precipitation seasonality, temperature driest month. C. thrived on steep slopes. some which also significantly affect hosts. Most habitats M. currently found subtropical monsoon zone. SSP126, SSP370, SSP585 scenarios positive, stable, unfavorable impacts extent for respectively, suitability P. decreased under three different conditions. expansion observed provinces bordering middle lower reaches Yellow River, Zhanjiang, Guangdong Province, northern Yunnan Province. Conversely, habitat contraction mainly western Guangdong, southern Guangxi, Hainan, southwestern Yunnan, areas eastern Sichuan. shared regions hosts primarily located Moreover, future centroids at higher elevations than ones Jiangxi Hunan. Discussion In light climate change, this research held significance conservation sustainable utilization .

Language: Английский

Citations

1
Spatial-temporal dynamics of meteorological and agricultural drought in Northwest China: Propagation, drivers and prediction DOI
Yining Ma, Jiawei Ren,

Kang Shaozhong

et al.

Journal of Hydrology, Journal Year: 2024, Volume and Issue: 650, P. 132492 - 132492

Published: Dec. 12, 2024

Language: Английский

Citations

7
Spatiotemporal evolution of drought status and its driving factors attribution in China DOI
Haoyu Jin, Ke Zhang,

Pengfei Zhang

et al.

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 958, P. 178131 - 178131

Published: Dec. 19, 2024

Language: Английский

Citations

5
Impacts of extreme climate events on vegetation succession at the northern foothills of Yinshan mountain, inner Mongolia DOI Creative Commons
Pingping Zhou,

Zilong Liao,

Xiaoyan Song

et al.

Frontiers in Environmental Science, Journal Year: 2025, Volume and Issue: 13

Published: March 11, 2025

Extreme climate events significantly impact vegetation ecosystems in dry regions, particularly areas adjacent to the northern foothills of Yinshan Mountain (NYSM). However, there remains limited understanding how responds such events. Analyzing response regions drought is beneficial for protection and restoration ecosystem. This study analyzes spatiotemporal variation characteristics extreme NDVI. By employing correlation analysis geographic detectors, it explores NDVI The findings indicate a recent decline temperature concurrent rise precipitation From 2000 2020, demonstrated consistent improvement, trend expected persist future. exhibited strong negative with NDVI, whereas positive correlation. Furthermore, possess greater explanatory power variability compared research provide theoretical basis different types NYSM respond events, they inform targeted ecological measures based on varying responses these

Language: Английский

Citations

0
Four-decade spring droughts in Taiwan DOI Creative Commons

Trong-Hoang Vo,

Yuei‐An Liou

Journal of Hydrology Regional Studies, Journal Year: 2024, Volume and Issue: 54, P. 101849 - 101849

Published: June 5, 2024

Taiwan The spring drought in not only impacts local socio-economic conditions but also has global implications due to the region's critical role semiconductor manufacturing. Despite extensive research, studies have yet fully integrated multiple indices for comprehensive assessment of meteorological, hydrological, and agricultural droughts. This study addresses gap by utilizing Standardized Drought Indices (SDI), Temperature Index (STI), Normalized Difference Water (NDWI) explore characteristics potential climate change links droughts from 1982 2021 Taiwan. It employed methodologies including remote sensing, statistical analysis, machine learning, complemented ground-validated sensing data assimilation. reveals that presents a unique case dynamics, deviating typical patterns. In Taiwan, hydrological respond more quickly rainfall deficits than droughts, showing strong correlations (r > 0.8) moderate (0.4 < r 0.6) Furthermore, although decreased, hydrometeorological shown an increase since early 2000s, marked abrupt point. Notably, central southern regions are hotspots with significant temperature-drought coherence occurring 4–6-year resonant cycles. These findings suggest need enhancing management, particularly crucial Taiwan's industrial economy.

Language: Английский

Citations

3
New space–time view and methods to evaluating satellite and reanalysis meteorological and hydrological datasets: the case study of the Upper Yellow River Basin, China DOI

Yuanwei Man,

Meixue Yang, Wan G

et al.

Climate Dynamics, Journal Year: 2024, Volume and Issue: 63(1)

Published: Dec. 4, 2024

Language: Английский

Citations

1
Simulation and Prediction of Snowmelt Runoff in the Tangwang River Basin Based on the NEX-GDDP-CMIP6 Climate Model DOI Open Access
Yixin Zhang,

Geng-Wei Liu,

Changlei Dai

et al.

Water, Journal Year: 2024, Volume and Issue: 16(15), P. 2082 - 2082

Published: July 24, 2024

In this study, the future snowmelt runoff in chilly northeast region’s Tangwang River Basin was simulated and predicted using SWAT model, which built used based on NEX-GDDP-CMIP6 climate model. This study conducted a detailed analysis of spatial temporal distribution characteristics high-resolution DEM, land use, soil data, along with data from historical climatic scenarios. Using box plots Bflow digital filtering approach, first determined period before precisely defining periods. Sensitivity parameter rate determination ensured simulation accuracy correlation coefficients total validation were 0.75 0.76, Nashiness for both. The 0.73 0.74, 0.7 0.68 both, model good agreement measured data. It discovered that while temperatures indicate an increasing tendency across all scenarios, precipitation is to increase under SSP2-4.5 scenario. scenario decreasing trend regarding runoff, SSP1-2.6 SSP5-8.5 scenarios showed little overall change even decrease 6.35%. These differences evident monthly projections. Overall, findings point possibility that, despite having negligible effect hydrological cycle Basin, it may intensify frequency extreme weather events, creating difficulties management water resources issuing flood warnings. For purpose planning studying basin other basins cold regions, offers crucial scientific foundation. An in-depth great practical significance optimizing resource management, rational spring prevention, disaster mitigation provides valuable support research runoff.

Language: Английский

Citations

0