Assessing the driving process of meteorological and agricultural drought in the Yellow River Basin
Study region: The Yellow River Basin. Study focus: This study examines six-month anomalies in precipitation (SPI), runoff (SRI), surface-layer soil moisture (SMI), and vegetation health (VHI), covering the period from 1990 to 2020. Multifractal detrended fluctuation analysis (MF-DFA) measures the ti...
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Elsevier
2025-10-01
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| Series: | Journal of Hydrology: Regional Studies |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2214581825005336 |
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| author | Xiufen Gu Yuqi Li Sajad Jamshidi Lailei Gu HongGuang Sun Dayong Wang |
| author_facet | Xiufen Gu Yuqi Li Sajad Jamshidi Lailei Gu HongGuang Sun Dayong Wang |
| author_sort | Xiufen Gu |
| collection | DOAJ |
| description | Study region: The Yellow River Basin. Study focus: This study examines six-month anomalies in precipitation (SPI), runoff (SRI), surface-layer soil moisture (SMI), and vegetation health (VHI), covering the period from 1990 to 2020. Multifractal detrended fluctuation analysis (MF-DFA) measures the time-dependent fractal memory of each index, and wavelet coherence shows the links between different drought types. New hydrological insights for the region: MF-DFA shows that SMI is persistent at both seasonal and semi-annual windows. SRI goes from being persistent at 3 months to being anti-persistent at 12 months, and VHI shows a random-walk pattern at the seasonal scale before becoming persistent at longer scales. The average coherence between SRI and SMI is 0.55, with coefficients > 0.60 across a quarter of the basin and a significant-coherence area (PASC) > 50 % in 10 % of grids. Memory has the most direct effect on SMI, which has a mean coherence with its own past of more than 0.4 at all three timeframes. Our results collectively indicate that (i) fractal memory enhances soil moisture retention, (ii) hydrological drought serves as the principal pathway for meteorological deficits to impact the root zone, and (iii) vegetation stress exhibits a weaker and more heterogeneous response, particularly beyond agricultural areas. These insights enhance the comprehension of drought progression and establish a scale-sensitive framework for early warning throughout the Yellow River Basin. |
| format | Article |
| id | doaj-art-e7ee9b658e5a4a4a8c6377d62cbbe20f |
| institution | Kabale University |
| issn | 2214-5818 |
| language | English |
| publishDate | 2025-10-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Journal of Hydrology: Regional Studies |
| spelling | doaj-art-e7ee9b658e5a4a4a8c6377d62cbbe20f2025-08-20T04:02:26ZengElsevierJournal of Hydrology: Regional Studies2214-58182025-10-016110270410.1016/j.ejrh.2025.102704Assessing the driving process of meteorological and agricultural drought in the Yellow River BasinXiufen Gu0Yuqi Li1Sajad Jamshidi2Lailei Gu3HongGuang Sun4Dayong Wang5School of Mathematics and Information Sciences, Yantai University, Yantai 264005, ChinaSchool of Mathematics and Information Sciences, Yantai University, Yantai 264005, ChinaDepartment of Agronomy, Purdue University, West Lafayette, IN 47906, USACollege of Urban and Environmental Sciences, Northwest University, Xi’an 710100, ChinaThe National Key Laboratory of Water Disaster Prevention, Hohai University, Nanjing 210098, China; College of Mechanics and Engineering Science, Hohai University, Nanjing 210098, ChinaSchool of Health Management, Binzhou Medical University, Yantai 264003, China; Corresponding author.Study region: The Yellow River Basin. Study focus: This study examines six-month anomalies in precipitation (SPI), runoff (SRI), surface-layer soil moisture (SMI), and vegetation health (VHI), covering the period from 1990 to 2020. Multifractal detrended fluctuation analysis (MF-DFA) measures the time-dependent fractal memory of each index, and wavelet coherence shows the links between different drought types. New hydrological insights for the region: MF-DFA shows that SMI is persistent at both seasonal and semi-annual windows. SRI goes from being persistent at 3 months to being anti-persistent at 12 months, and VHI shows a random-walk pattern at the seasonal scale before becoming persistent at longer scales. The average coherence between SRI and SMI is 0.55, with coefficients > 0.60 across a quarter of the basin and a significant-coherence area (PASC) > 50 % in 10 % of grids. Memory has the most direct effect on SMI, which has a mean coherence with its own past of more than 0.4 at all three timeframes. Our results collectively indicate that (i) fractal memory enhances soil moisture retention, (ii) hydrological drought serves as the principal pathway for meteorological deficits to impact the root zone, and (iii) vegetation stress exhibits a weaker and more heterogeneous response, particularly beyond agricultural areas. These insights enhance the comprehension of drought progression and establish a scale-sensitive framework for early warning throughout the Yellow River Basin.http://www.sciencedirect.com/science/article/pii/S2214581825005336Agricultural droughtMeteorological DroughtMemory behaviorTemporal scalesYellow River Basin |
| spellingShingle | Xiufen Gu Yuqi Li Sajad Jamshidi Lailei Gu HongGuang Sun Dayong Wang Assessing the driving process of meteorological and agricultural drought in the Yellow River Basin Journal of Hydrology: Regional Studies Agricultural drought Meteorological Drought Memory behavior Temporal scales Yellow River Basin |
| title | Assessing the driving process of meteorological and agricultural drought in the Yellow River Basin |
| title_full | Assessing the driving process of meteorological and agricultural drought in the Yellow River Basin |
| title_fullStr | Assessing the driving process of meteorological and agricultural drought in the Yellow River Basin |
| title_full_unstemmed | Assessing the driving process of meteorological and agricultural drought in the Yellow River Basin |
| title_short | Assessing the driving process of meteorological and agricultural drought in the Yellow River Basin |
| title_sort | assessing the driving process of meteorological and agricultural drought in the yellow river basin |
| topic | Agricultural drought Meteorological Drought Memory behavior Temporal scales Yellow River Basin |
| url | http://www.sciencedirect.com/science/article/pii/S2214581825005336 |
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