Spatial and temporal evolution characteristics and causes of drought and flood in the Henan section of the Yellow River

Tao, Jie; Qiao, Wenzhao; Li, Hang; Qu, Xiao-Ning; Gan, Rong

doi:10.1007/s11069-022-05333-8

Cited by 10 publications

(5 citation statements)

References 31 publications

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“…Drought reduced wheat and maize yields by 21% and 40%, respectively, on a global scale from 1980 to 2015 ( 3 ). In 2018 alone, drought cost China 48.362 billion yuan in direct economic losses, 15.697 billion yuan in grain losses, and 8.466 billion yuan in cash crop losses ( 4 ). To avoid catastrophic consequences for global food security, a stronger emphasis on building crop drought resilience and adaptive capacity to cope with future droughts is required.…”

Section: Introductionmentioning

confidence: 99%

Transcriptional Response and Plant Growth Promoting Activity of Pseudomonas fluorescens DR397 under Drought Stress Conditions

Nishu

Lee

2022

Microbiol Spectr

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Section: Introductionmentioning

confidence: 99%

Transcriptional Response and Plant Growth Promoting Activity of Pseudomonas fluorescens DR397 under Drought Stress Conditions

Nishu

Lee

2022

Microbiol Spectr

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“…The 6-year time scale was the second main cycle of drought variation. Similarly, Li et al [62] reported that the SPEI-12 had a scale of 2-7 years in Henan Province during 1961-2015, and Tao et al [63] reported that the SPEI-12 had a small scale of 5-10 years and a large scale of 15-23 years in the Henan section of the Yellow River during 1970-2020. This phenomenon may be partly attributed to the influence of the El Niño-Southern Oscillation (ENSO); a previous study reported that ENSO events can markedly weaken the intensity of Walker Circulation, causing less precipitation and frequent droughts in the North China Plain [64].…”

Section: Trends and Periodic Features Of Drought Changesmentioning

confidence: 98%

“…Additionally, the sunspot phase logarithm is commonly used to characterize the intensity of solar activity and its impact on hydrological processes occurring in an 11-year cycle [67]. The SPEI-12 and sunspot phase logarithm showed a significant positive phase resonance relation in the Henan section of the Yellow River during 1970-2020 [63]. According to its periodic features, Henan Province was in a dry state around 2019 and remained dry for the subsequent period, which was consistent with predictions based on our BO-LSTM model.…”

Section: Trends and Periodic Features Of Drought Changesmentioning

confidence: 99%

Spatiotemporal Changes and the Prediction of Drought Characteristics in a Major Grain-Producing Area of China

Guo,

Luo,

et al. 2023

Sustainability

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Understanding variations in drought characteristics is of great importance for water resource planning and agriculture risk management. Despite increasing interest in exploring spatiotemporal drought patterns, long-term drought event characteristics and their future changes are unclear in major grain-producing areas in China. In this study, we applied Run theory, Sen’s slope, the modified Mann–Kendall method, wavelet analysis, and three machine learning models to systematically examine drought variation patterns, their future trends, and agricultural exposure in Henan Province, China, from 1961 to 2019. The results indicated that the SPEI-12 showed a significant increase at a rate of 0.0017/month during 1961–1999, but this has gradually changed to a drying trend since the 21st century. Drought event characteristics shifted markedly during these two periods, with drought duration and severity gradually shifting from east to west. The BO-LSTM model performed better than the LSTM and BP models, indicating that the drought frequency, higher drought duration, and drought peak would greatly increase 1.28–3.40-fold and cropland exposure is predicted to increase 1.61-fold in the near future compared to the first two decades of the 21st century. This finding not only helps developing meteorological drought predicting models, but also provides the scientific groundwork for drought disaster prevention and mitigation in Henan Province.

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“…In 2000, the structural indicators of the Henan section of the Yellow River Basin were low due to the damage inflicted on the river morphology by the prior rapid development of the social economy [37]. Since the beginning of the 21st century, the government and society as a whole have been increasingly concerned with environmental protection and water resource conservation, resulting in the implementation of a series of scientifically-based management measures that have facilitated some level of restoration of the study area's hydrological system, leading to gradual improvements in its structural indicators, such as the length of the river, the water area, and the density of the river network [38]. However, the connectivity indicators decreased gradually between 2000 and 2020 due to human activities.…”

Section: Hydrographic Connectivitymentioning

confidence: 99%

Temporal and Spatial Changes of Hydrographic Connectivity with the Development of Agriculture, Industry, and Urban Areas: A Case Study of the Yellow River Basin in Henan Province during the Last Two Decades

Li,

Wei,

Zhou

et al. 2023

Water

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Hydrographic connectivity stands as a crucial indicator for analyzing the structural dynamics within river and lake systems. Nevertheless, the impact of changes in hydrographic connectivity, including structural and functional connectivity within extensive river basins, on the progression of agriculture, industry, and habitation remain scarcely explored. To bridge this gap, Henan province in China, traversed by the Yellow River, was selected as a case study. The extraction of water information was facilitated by employing a remote sensing-based Modified Normalized Difference Water Index (MNDWI), while Set Pair Analysis was utilized to construct a hydrographic connectivity evaluation system for the study area spanning the preceding two decades (2000–2020). The results revealed that for structural connectivity, agricultural land covers over 50% and prevails as the primary land-use type; reservoir and lake areas initially increased before subsequently decreasing. Human activities have exerted a profound influence on these changes. Meanwhile, the structural form of the water system has gradually improved, exhibiting an increasing complexity of river networks and a stabilizing connectivity configuration. As for functional connectivity, the natural function remains well-preserved, while the social function demonstrates a positive correlation with the expansion of industrial activities, eventually achieving an excellent level from a moderate level. Overall, agriculture dominated the water usage structure, with residential water consumption steadily increasing, thereby positively impacting hydrographic connectivity in the studied area.

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Spatial and temporal evolution characteristics and causes of drought and flood in the Henan section of the Yellow River

Cited by 10 publications

References 31 publications

Transcriptional Response and Plant Growth Promoting Activity of Pseudomonas fluorescens DR397 under Drought Stress Conditions

Transcriptional Response and Plant Growth Promoting Activity of Pseudomonas fluorescens DR397 under Drought Stress Conditions

Spatiotemporal Changes and the Prediction of Drought Characteristics in a Major Grain-Producing Area of China

Temporal and Spatial Changes of Hydrographic Connectivity with the Development of Agriculture, Industry, and Urban Areas: A Case Study of the Yellow River Basin in Henan Province during the Last Two Decades

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