The Response of NDVI to Drought at Different Temporal Scales in the Yellow River Basin from 2003 to 2020 DOI Open Access
Wenzhao Liu

Water, Journal Year: 2024, Volume and Issue: 16(17), P. 2416 - 2416

Published: Aug. 27, 2024

Ecological protection in the Yellow River Basin (YRB) is a major strategy for China’s sustainable development. Amid global warming, droughts have occurred more frequently, severely affecting vegetation growth. Based on Standardized Precipitation Evapotranspiration Index (SPEI) and Normalized Difference Vegetation (NDVI) at different time scales from 2003 to 2020, this study employed linear trend method Spearman correlation coefficient calculate trends coefficients of NDVI SPEI pixel scale explored spatial distribution pattern sensitivity growth YRB drought. The results show that: (1) are positively correlated 77% area, negatively 9%, arid semi-arid areas, while humid subhumid areas. significant negative between drought high altitudes may be due fact that Gramineae sensitive drought, with heat being affected than water. (2) Urbanization has relatively obvious impact Extreme mainly occurs middle upper reaches Wei River; severe central area Guanzhong Plain centered Xi’an; Loess Plateau; surrounding areas Zhengzhou-centered Central Plains City Group. (3) showed an upward indicating increase density or expansion coverage. From temporal trend, decreased rate −0.17/decade, entire watershed annual scale. (4) Spring water supply provided by SPEI-1, positive begins rise June its peak July, then starts decline August. In autumn winter, 3–6-month accumulated (5) dynamic transmission laws levels correlation, 3-month most significant, influence SPEI-1 significant. This paper aims clarify time-scale droughts, provide basis alleviating YRB, promote development ecological environmental protection. research findings enable us gain profound insight into responsiveness context warming offer valuable theoretical foundation devising pertinent measures alleviate stress regions prone frequent droughts.

Language: Английский

Enhancing daily reference evapotranspiration (ETref) prediction across diverse climatic zones: A pattern mining approach with DIRECTORS model DOI
Maryam Amiri, Saeed Sharafi, Mehdi Mohammadi Ghaleni

et al.

Journal of Hydrology, Journal Year: 2025, Volume and Issue: unknown, P. 133045 - 133045

Published: March 1, 2025

Language: Английский

Citations

1
Study on the Spatiotemporal Evolution and Driving Factors of Water Resource Carrying Capacity in Typical Arid Regions DOI Open Access

Lan Yang,

Zhengwei Pan, Mai‐He Li

et al.

Water, Journal Year: 2024, Volume and Issue: 16(15), P. 2142 - 2142

Published: July 29, 2024

As an important indicator for assessing regional water resources, the study of spatiotemporal evolution and driving factors resources carrying capacity (WRCC) is essential achieving sustainable resource utilization. This focuses on Yulin City, a typical arid region located Loess Plateau in northwestern China. By constructing evaluation index system WRCC combining improved fuzzy comprehensive model with TOPSIS model, established. Additionally, Geodetector used to explore main behind WRCC. multidimensional analytical framework aims deeply analyze dynamic trends mechanisms different its changes. The results indicate that (1) from 2011 2020, overall City showed trend positive improvement, Shenmu, Yuyang, Fugu areas performing best, by more than half counties had achieved Grade 3 or above; (2) spatial variability was significant temporal changes; (3) terms mechanisms, northern six gradually shifted traditional economic-driven ecological environmental drivers, whereas southern remained constrained economic factors. Overall, remain primary force socio-economic development sustainability entire City. provides valuable information allocation differentiated management regions.

Language: Английский

Citations

4
Enhancing crop production resilience: nonlinear modeling of agricultural risk using the crop cultivation risk index DOI
Farhang Rahmani

Earth Science Informatics, Journal Year: 2025, Volume and Issue: 18(1)

Published: Jan. 1, 2025

Language: Английский

Citations

0
Regionalization of hydrological cycle changes in 31 source catchments of Yellow River Basin considering multiple hydrological variables DOI

Can Cao,

Yongyong Zhang, Kun Peng

et al.

Journal of Hydrology Regional Studies, Journal Year: 2025, Volume and Issue: 59, P. 102340 - 102340

Published: April 3, 2025

Language: Английский

Citations

0
The hydrological impact of greening and climate change on the Mu Us Sandy land of China under the background of declining ecological efficiency DOI
Jiazheng Li, Rong Wu,

Mengjing Li

et al.

Ecological Indicators, Journal Year: 2025, Volume and Issue: 174, P. 113495 - 113495

Published: April 21, 2025

Language: Английский

Citations

0
Vegetation Restoration Enhanced Canopy Interception and Soil Evaporation but Constrained Transpiration in Hekou–Longmen Section During 2000–2018 DOI Creative Commons

Peidong Han,

Guang Yang,

Yangyang Liu

et al.

Agronomy, Journal Year: 2024, Volume and Issue: 14(11), P. 2606 - 2606

Published: Nov. 5, 2024

The quantitative assessment of the impact vegetation restoration on evapotranspiration and its components is great significance in developing sustainable ecological strategies for water resources a given region. In this study, we used Priestley-Taylor Jet Pro-pulsion Laboratory (PT-JPL) to simulate ET Helong section (HLS) Yellow River basin. effects components, transpiration (Et), soil evaporation (Es), canopy interception (Ei) were separated by manipulating model variables. Our findings are as follows: (1) simulation results compared with calculated balance annual average MODIS products. R2 validation 0.61 0.78, respectively. show that PT-JPL tracks change HLS well. During 2000–2018, ET, Ei, Es increased at rate 1.33, 0.87, 2.99 mm/a, respectively, while Et decreased 2.52 mm/a. (2) Vegetation region from 331.26 mm (vegetation-unchanged scenario) 338.85 (vegetation during study period, an increase 2.3%. (3) TMP (temperature) VPD (vapor pressure deficit) dominant factors affecting changes most areas HLS. more than 37.2% HLS, dominated vapor difference (VPD) area 30.5% Overall, precipitation (PRE) main changes. Compared previous studies directly explore relationship between many influencing through correlation research methods, our uses control variables obtain under two different scenarios then performs analysis. This method can reduce excessive interference other results. provide strategic support future resource management

Language: Английский

Citations

2
The Response of NDVI to Drought at Different Temporal Scales in the Yellow River Basin from 2003 to 2020 DOI Open Access
Wenzhao Liu

Water, Journal Year: 2024, Volume and Issue: 16(17), P. 2416 - 2416

Published: Aug. 27, 2024

Ecological protection in the Yellow River Basin (YRB) is a major strategy for China’s sustainable development. Amid global warming, droughts have occurred more frequently, severely affecting vegetation growth. Based on Standardized Precipitation Evapotranspiration Index (SPEI) and Normalized Difference Vegetation (NDVI) at different time scales from 2003 to 2020, this study employed linear trend method Spearman correlation coefficient calculate trends coefficients of NDVI SPEI pixel scale explored spatial distribution pattern sensitivity growth YRB drought. The results show that: (1) are positively correlated 77% area, negatively 9%, arid semi-arid areas, while humid subhumid areas. significant negative between drought high altitudes may be due fact that Gramineae sensitive drought, with heat being affected than water. (2) Urbanization has relatively obvious impact Extreme mainly occurs middle upper reaches Wei River; severe central area Guanzhong Plain centered Xi’an; Loess Plateau; surrounding areas Zhengzhou-centered Central Plains City Group. (3) showed an upward indicating increase density or expansion coverage. From temporal trend, decreased rate −0.17/decade, entire watershed annual scale. (4) Spring water supply provided by SPEI-1, positive begins rise June its peak July, then starts decline August. In autumn winter, 3–6-month accumulated (5) dynamic transmission laws levels correlation, 3-month most significant, influence SPEI-1 significant. This paper aims clarify time-scale droughts, provide basis alleviating YRB, promote development ecological environmental protection. research findings enable us gain profound insight into responsiveness context warming offer valuable theoretical foundation devising pertinent measures alleviate stress regions prone frequent droughts.

Language: Английский

Citations

1