Quantitative analysis of agricultural drought propagation process in the Yangtze River Basin by using cross wavelet analysis and spatial autocorrelation

Li, Ronghui; Chen, Nengcheng; Zhang, Xiang; Zeng, Linglin; Wang, Xiaoping; Tang, Shengjun; Li, Deren; Niyogi, Dev

doi:10.1016/j.agrformet.2019.107809

Cited by 132 publications

(49 citation statements)

References 66 publications

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“…The PET is calculated by the Penman–Monteith method as recommended by the Food and Agriculture Organization of the United Nations (Allen et al ., 1998). The SSI is calculated with the weekly root‐zone (0 ~ 100 cm) soil moisture data and has fewer data requirements than most agricultural drought indices (Hao and Aghakouchak, 2013, 2014; Li, Chen, et al ., 2020).…”

Section: Methods and Study Areamentioning

confidence: 99%

A new framework for the identification of flash drought: Multivariable and probabilistic statistic perspectives

Xia

She

et al. 2021

Intl Journal of Climatology

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Flash drought is distinguished with seasonal drought by its characteristics of sudden onset and rapid intensification, and has attracted increasing concern due to the severe negative impacts on socioeconomic development and ecosystems. To accurate identify the onset time and propagation of flash drought is still a big challenge, as it is influenced by many factors (e.g., deficit in precipitation, increase in evapotranspiration and temperature, shortage in soil moisture, and etc.). This study aims to develop a probabilistic and multivariable flash drought identification method (PMFDI) from the perspective of considering the interaction effects from different driving factors on flash drought occurrence and propagation with a multivariable statistical tool. The PMFDI uses the weekly standardized precipitation evapotranspiration index and the standardized soil moisture index to describe the abnormally changes in multiple hydrometeorological variables over a short duration. The linearly multivariable index (LMI) is employed to describe the correlation relationship between multiple hydrometeorological variables and to identify flash droughts from the aspects of sudden onset and rapid intensification. We select the Loess Plateau (LP) in China to verify the efficiency of the developed PMFDI with the comparison to the other two recently proposed flash drought identification methods. The results indicate that PMFDI can identify high‐ and low‐ frequency regions similar to those identified by the other two methods and can generally recognize actual flash droughts. In addition, the PMFDI can capture the comprehensive impact of multiple hydrometeorological variables as well as their interaction on flash drought occurrence, which provides a useful perspective to understand the propagation processes of the actual flash droughts in the LP.

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Section: Methods and Study Areamentioning

confidence: 99%

A new framework for the identification of flash drought: Multivariable and probabilistic statistic perspectives

Xia

She

et al. 2021

Intl Journal of Climatology

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“…However, global studies have found that there are various factors that can affect the drought propagation, including watershed properties, climate types and human activities (Apurv & Cai, 2020; Gevaert et al., 2018; J. F. Wu et al., 2017). Therefore, drought propagation usually has regional characteristics (N. C. Chen et al., 2020; R. H. Li, Chen, et al., 2020).…”

Section: Introductionmentioning

confidence: 99%

Characteristics of Propagation From Meteorological Drought to Hydrological Drought in the Pearl River Basin

et al. 2021

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“…Numerous drought indices have been developed to investigate agricultural droughts. The temperatures, precipitation, and soil moisture levels for a successful plant combination are all included in this study [12][13][14].…”

Section: Agricultural Droughtmentioning

confidence: 99%

Scientometric Analysis-Based Review for Drought Modelling, Indices, Types, and Forecasting Especially in Asia

Kong

et al. 2021

Water

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An extended drought period with low precipitation can result in low water availability and issues for humans, animals, and plants. Drought forecasting is critical for water resource development and management as it helps to reduce negative consequences. In this study, scientometric analysis and manual comprehensive analysis on drought modelling and forecasting are used. A scientometric analysis is used to determine the current research trend using bibliometric data and to identify relevant publication field sources with the most publications, the most frequently used keywords, the most cited articles and authors, and the countries that have made the greatest contributions to the field of water resources. This paper also tries to provide an overview of water issues, such as drought classification, drought indices, historical droughts, and their impact on Asian countries such as China, Pakistan, India, and Iran. There have been many models established for this purpose and choosing the appropriate model for study is a long procedure for researchers. An appropriate, comprehensive, pedagogical study of model ideas and historical implementations would benefit researchers by helping them to avoid overlooking viable model options, thus reducing their time spent on the topic. As a result, the goal of this paper is to review drought-forecasting approaches and recommend the best models for the Asian region. The models are divided into four categories based on their mechanisms: Regression analysis, stochastic modelling, machine learning, and dynamic modelling. The basic concepts of each approach in terms of the model’s historical use, benefits, and limitations are explained. Finally, prospects for future drought research in Asia are discussed as well as potential modelling techniques.

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Quantitative analysis of agricultural drought propagation process in the Yangtze River Basin by using cross wavelet analysis and spatial autocorrelation

Cited by 132 publications

References 66 publications

A new framework for the identification of flash drought: Multivariable and probabilistic statistic perspectives

A new framework for the identification of flash drought: Multivariable and probabilistic statistic perspectives

Characteristics of Propagation From Meteorological Drought to Hydrological Drought in the Pearl River Basin

Scientometric Analysis-Based Review for Drought Modelling, Indices, Types, and Forecasting Especially in Asia

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