Impacts of climatic variables on reference evapotranspiration during growing season in Southwest China

Jiang, Shouzheng; Liang, Chuan; Cui, Ningbo; Zhao, Lu; Du, Taisheng; Hu, Xiaotao; Feng, Yu; Guan, Jing; Feng, Yi

doi:10.1016/j.agwat.2019.02.014

Cited by 53 publications

(51 citation statements)

References 66 publications

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“…Especially for the study period from 1960 to 2018, the ET 0 also showed a nonsignificant (p > 0.05) increase. This result was highly consistent with those obtained by Li et al [14] and Jiang et al [66]. Consequently, we can conclude that at present, the evaporation paradox has disappeared in Southwest China as global warming continues.…”

Section: The Evaporation Paradoxsupporting

confidence: 93%

“…The wind speed showed a slightly decreasing trend in the 1960s, whereas a rapidly increasing step change was found around 1970, which then decreased considerably until 2000, and further showed a significant increase in recent years. Previous researchers have found the same trend [66,74]. Our results show that the wind speed was significantly (p < 0.01) decreased over the entire study period and had a relative low contribution to the variations in ET 0 at both the annual and seasonal timescales when compared with other climatic driving factors (Table 2).…”

Section: Impacts Of Climatic Driving Factors On the Variation In Etsupporting

confidence: 81%

“…In the spring and winter, variations in relative humidity even became the primary factor contributing to changes in ET 0 ( Table 2). This finding is supported by Jiang et al [66], who concluded that the decline in relative humidity in Southwest China has mainly resulted from a decrease in precipitation.…”

Section: Impacts Of Climatic Driving Factors On the Variation In Etsupporting

confidence: 64%

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Changes in Reference Evapotranspiration over Southwest China during 1960–2018: Attributions and Implications for Drought

Zeng

Zhou

et al. 2019

Atmosphere

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Reference evapotranspiration (ET0) is important to the global energy balance and to hydrological cycling. However, the extent to which ET0 changes, the main driving factors, and especially the implications of its shift for drought in Southwest China are not clear. In this study, trends in Penman–Monteith ET0 and other climatic parameters at 79 stations in Southwest China from 1960 to 2018 were investigated by using the Mann–Kendall test. Furthermore, partial correlation analysis and multiple linear regression were used to determine the dominant climate driving factors in changes in ET0. The relative contribution of precipitation and ET0 to drought duration was also quantified based on spatial multiple linear regression. Results revealed that annual ET0 decreased significantly (p < 0.01) at a rate of 14.1 mm per decade from 1960 to 2000, and this decrease disappeared around 2000. For the entire study period, the sunshine duration (Tsun) was the most closely correlated with and played a dominant role in the variations in ET0 at both annual and seasonal (summer and autumn) timescales, whereas the relative humidity was the most dominant factor in the spring and winter. Trends in the Standardized Precipitation Evapotranspiration Index revealed that drought has become more serious in Southwest China, and ET0 has made a greater contribution to the duration of drought than precipitation. Our findings highlight that more attention should be paid to the impacts of ET0 changes on drought in Southwest China. Furthermore, these results can provide a reference for the allocation of water resources and the implementation of countermeasures to climate change.

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Section: The Evaporation Paradoxsupporting

confidence: 93%

Section: Impacts Of Climatic Driving Factors On the Variation In Etsupporting

confidence: 81%

Section: Impacts Of Climatic Driving Factors On the Variation In Etsupporting

confidence: 64%

See 1 more Smart Citation

Changes in Reference Evapotranspiration over Southwest China during 1960–2018: Attributions and Implications for Drought

Zeng

Zhou

et al. 2019

Atmosphere

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“…Previous research has typically considered in-situ observations to analyze the spatiotemporal variation of climate factors [55][56][57]. However, the observational networks are irregularly distributed, which reduces the representativeness of the spatial variability.…”

Section: Datamentioning

confidence: 99%

Spatiotemporal Variation of Drought and Associated Multi-Scale Response to Climate Change over the Yarlung Zangbo River Basin of Qinghai–Tibet Plateau, China

Liu

Shan

et al. 2019

Remote Sensing

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Drought is one of the most widespread and threatening natural disasters in the world, which has terrible impacts on agricultural irrigation and production, ecological environment, and socioeconomic development. As a critical ecologically fragile area located in southwest China, the Yarlung Zangbo River (YZR) basin is sensitive and vulnerable to climate change and human activities. Hence, this study focused on the YZR basin and attempted to investigate the spatiotemporal variations of drought and associated multi-scale response to climate change based on the scPDSI (self-calibrating Palmer drought severity index) and CRU (climate research unit) data. Results showed that: (1) The YZR basin has experienced an overall wetting process from 1956 to 2015, while a distinct transition period in the mid 1990s (from wet to dry) was detected by multiple statistical methods. (2) Considering the spatial variation of the scPDSI, areas showing the significantly wetting process with increasing scPDSI values were mostly located in the arid upstream and midstream regions, which accounted for over 48% area of the YZR basin, while areas exhibiting the drying tendency with decreasing scPDSI values were mainly concentrated in the humid southern part of the YZR basin, dominating the transition period from wet to dry, to which more attention should be paid. (3) By using the EEMD (ensemble empirical mode decomposition) method, the scPDSI over the YZR basin showed quasi-3-year and quasi-9-year cycles at the inter-annual scale, while quasi-15-year and quasi-56-year cycles were detected at the inter-decadal scale. The reconstructed inter-annual scale showed a better capability to represent the abrupt change characteristic of drought, which was also more influential to the original time series with a variance contribution of 55.3%, while the inter-decadal scale could be used to portray the long-term drought variation process with a relative lower variance contribution of 29.1%. (4) The multi-scale response of drought to climate change indicated that changes of precipitation (PRE) and diurnal temperature range (DTR) were the major driving factors in the drought variation at different time scales. Compared with potential evapotranspiration (PET), DTR was a much more important climate factor associated with drought variations by altering the energy balance, which is more obvious over the YZR basin distributed with extensive snow cover and glaciers. These findings could provide important implications for ecological environment protection and sustainable socioeconomic development in the YZR basin and other high mountain regions.

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“…In order to effectively prevent and mitigate the drought disasters, drought research has attracted the attention of the government and scholars. The research about the definition of drought index [9,10], the causes of drought [11][12][13], the evolution of drought characteristics [14,15], and the impacts of drought [16,17] has received great attention. In terms of drought indexes, the Palmer Drought Severity Index (PDSI), the Standardized Precipitation Index (SPI), and the Standardized Precipitation Evapotranspiration Index (SPEI) have been utilized widely.…”

mentioning

confidence: 99%

Analysis of Agricultural Drought Risk Based on Information Distribution and Diffusion Methods in the Main Grain Production Areas of China

Niu

Zhao

et al. 2019

Atmosphere

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Accurate assessment of agricultural drought risk is of strategic significance to ensure future grain production security in the main grain production areas of China. Agricultural drought risk assessment is based on drought vulnerability characteristics. In this study, firstly the drought thresholds were redefined by correlation analysis of drought strength based on the Standardized Precipitation Evapotranspiration Index (SPEI) and drought damage rates, then the information distribution and the two-dimensional normal information diffusion method were employed to establish the vulnerability curve between drought strength and drought damage rates. Finally, provincial drought risks and the conditional probabilities at different drought damage stages were obtained. The results show that the drought vulnerability curve was nonlinear. With the increase of drought strength, drought damage rates increased rapidly at the beginning, and after a small fluctuation locally, they no longer increased significantly and tended to be relative stable. The occurrence probabilities of agricultural drought risk presented great spatial differences, with the characteristics of high in the northern, moderate in the central and southwestern part, and lower in the southeastern provinces in the main grain production areas of China. The analysis of conditional probability showed that Hubei, Henan, and Jiangxi were the provinces most prone to drought-affected risk under the drought-induced condition; while Liaoning, Hunan, and Inner Mongolia were the ones most prone to lost harvest risk under the drought-induced or the drought-affected condition. The results could be used to provide guidance for drought risk management and to formulate appropriate plans by the relevant departments.Atmosphere 2019, 10, 764 2 of 24 security in the main grain production areas could have a profound impact on the security of the whole country. Therefore, it is very important to have accurate evaluation of the agricultural drought risk to ensure future grain production security.Generally, drought can be classified into four types: Meteorological drought, agricultural drought, hydrological drought, and social-economic drought [8]. Meteorological drought is a prerequisite for the other three droughts. In order to effectively prevent and mitigate the drought disasters, drought research has attracted the attention of the government and scholars. The research about the definition of drought index [9,10], the causes of drought [11][12][13], the evolution of drought characteristics [14,15], and the impacts of drought [16,17] has received great attention. In terms of drought indexes, the Palmer Drought Severity Index (PDSI), the Standardized Precipitation Index (SPI), and the Standardized Precipitation Evapotranspiration Index (SPEI) have been utilized widely. PDSI takes the changes in surface water balance into account, while the acquisition is difficult because of the complex calculation process and the limited time scale [18]. SPI is a representative index for drought an...

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Impacts of climatic variables on reference evapotranspiration during growing season in Southwest China

Cited by 53 publications

References 66 publications

Changes in Reference Evapotranspiration over Southwest China during 1960–2018: Attributions and Implications for Drought

Changes in Reference Evapotranspiration over Southwest China during 1960–2018: Attributions and Implications for Drought

Spatiotemporal Variation of Drought and Associated Multi-Scale Response to Climate Change over the Yarlung Zangbo River Basin of Qinghai–Tibet Plateau, China

Analysis of Agricultural Drought Risk Based on Information Distribution and Diffusion Methods in the Main Grain Production Areas of China

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