Environmental Management in Central Asia DOI Creative Commons
Raissa Pritula,

Ye.Ye. Pritula,

Zh.G. Jabassova

et al.

BIO Web of Conferences, Journal Year: 2024, Volume and Issue: 140, P. 02012 - 02012

Published: Jan. 1, 2024

The environment is an increasingly debated topic in international society, politics and the media. This all more true context of climate change, which readily apparent every year. processes associated with change strongly influence state shape we humans are integral part. factor dramatic population growth also intervenes situation. object study Central Asia extreme climatic conditions. has a negative impact on living conditions, health development. Agricultural production main branch economy Asian republics. related threats affect economic situation region. Human activities have condition whole Inefficient unsustainable management agriculture water resources cause unfavourable Environment security seen as two inseparable areas that interact environmental management.

Language: Английский

Trigger thresholds and propagation mechanism of meteorological drought to agricultural drought in an inland river basin DOI Creative Commons
Lin Wang, Wei Wei, Lixin Wang

et al.

Agricultural Water Management, Journal Year: 2025, Volume and Issue: 311, P. 109378 - 109378

Published: Feb. 22, 2025

Language: Английский

Citations

0

Groundwater drought propagation and the drought resistance capacity in different climatic regions of China DOI Creative Commons
Shuqi Dong, Linqi Li, Zhaoqiang Zhou

et al.

Agricultural Water Management, Journal Year: 2025, Volume and Issue: 312, P. 109425 - 109425

Published: March 13, 2025

Language: Английский

Citations

0

Characteristics of propagation from meteorological to hydrological drought under natural conditions in the Haihe River Basin of China: Time, probability, and threshold DOI
Anzhou Zhao, Wei Zhang, Lidong Zou

et al.

Journal of Hydrology Regional Studies, Journal Year: 2025, Volume and Issue: 59, P. 102359 - 102359

Published: April 8, 2025

Language: Английский

Citations

0

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

4

Spatial heterogeneity of flash drought events in Central Asia and their link with large-scale circulation DOI
Yanchao Zhu, Peng Yang, Jun Xia

et al.

Climate Dynamics, Journal Year: 2025, Volume and Issue: 63(1)

Published: Jan. 1, 2025

Language: Английский

Citations

0

Differential impact of flash droughts on water use efficiency in terrestrial ecosystems in Central Asia DOI
Yanchao Zhu, Peng Yang, Jun Xia

et al.

Climatic Change, Journal Year: 2025, Volume and Issue: 178(3)

Published: March 1, 2025

Language: Английский

Citations

0

Drought Driving Factors as Revealed by Geographic Detector Model and Random Forest in Yunnan, China DOI Open Access

Haiqin Qin,

Douglas Schaefer, Ting Shen

et al.

Forests, Journal Year: 2025, Volume and Issue: 16(3), P. 505 - 505

Published: March 12, 2025

Yunnan Province, as a critical ecological security barrier in China, has long been highly susceptible to drought events. Characterizing the spatiotemporal distributions of and identifying its driving factors is crucial. Due complexity occurrence, linear correlation analysis alone insufficient quantify drivers their interactions. This study used Standardized Precipitation Evapotranspiration Index (SPEI) indicator analyze trends across six major river basins. The geographic detector model (GDM) random forest (RF) were utilized impacts meteorological, topographical, soil, human activities on drought, well interactions among these factors. results showed that 63.61% area exhibits significant drying trend (p-value < 0.05), with Jinsha River Basin (JSRB) experiencing highest frequency extreme (PRE), temperature, potential evapotranspiration (PET), vapor pressure deficit (VPD), relative humidity (RH) identified primary controlling factor displaying nonlinear enhancement effects. PRE plays dominant role Yunnan, whereas elevation primarily influenced severity JSRB, Lancang (LCRB), Nujiang (NJRB). RF-based SPEI prediction demonstrated superior performance simulating short-term (SPEI_1, R2 > 0.931, RMSE 0.279), particularly JSRB (R2 = 0.947 0.228). These findings provide scientific basis for regional water resource management applications early warning systems, offering robust framework understanding mitigating ecologically sensitive regions.

Language: Английский

Citations

0

Study on the multi-type drought propagation process and driving factors on the Tibetan Plateau DOI
Heng Wang, Heng Zhao,

Fuqiang Wang

et al.

Journal of Hydrology, Journal Year: 2024, Volume and Issue: unknown, P. 132162 - 132162

Published: Oct. 1, 2024

Language: Английский

Citations

3

Summertime compound heat extremes change and population heat exposure distribution in China DOI

Zhang Qiumeng,

Lin Gu,

Baoquan Jia

et al.

Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: unknown, P. 144381 - 144381

Published: Dec. 1, 2024

Language: Английский

Citations

2

Propagation Dynamics from Meteorological to Agricultural Drought in Northwestern China: Key Influencing Factors DOI Creative Commons
Kai Feng, Haobo Yuan, Yingying Wang

et al.

Agronomy, Journal Year: 2024, Volume and Issue: 14(9), P. 1987 - 1987

Published: Sept. 2, 2024

Meteorological and agricultural droughts are inherently correlated, whereas the propagation mechanism between them remains unclear in Northwestern China. Investigating linkages these drought types identifying potential influencing factors is crucial for effective water resource management mitigation. This study adopted Standardized Precipitation Evapotranspiration Index (SPEI) Soil Moisture (SSMI) to characterize meteorological from 1960 2018. The time was detected using Pearson correlation analysis, cross-wavelet transform wavelet cross-correlation were utilized describe their across time–frequency scales. grey relational analysis applied explore time. results revealed that typically lagged behind by an average of 6 months China, with distinct seasonal regional characteristics. shortest occurred summer (3 months), followed autumn (4 longer winter (8 months) spring (9 months). Additionally, plateau climate zone than southeastern (6 westerly There a multi-timescale response droughts, relatively stable significant positive over long timescales, less clear short timescales. key soil moisture, elevation, precipitation, evapotranspiration. Furthermore, high, lag 0 3 months; as timescale increased, fluctuation period also increased.

Language: Английский

Citations

1