Assessing spatiotemporal characteristics of drought and its effects on climate-induced yield of maize in Northeast China

Zhou, Zhaoqiang; Shi, Haiyun; Fu, Qiang; Li, Tianxiao; Gan, Thian Yew; Liu, Suning

doi:10.1016/j.jhydrol.2020.125097

Cited by 77 publications

(40 citation statements)

References 61 publications

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“…where t is the range of any given node. The normal statistic Z is used to indicate the strength of the trend (Zhou, Shi, Fu, Li, Gan, & Liu, 2020). The positive and negative values of Z represent increasing and decreasing trends, respectively.…”

Section: Methodsmentioning

confidence: 99%

“…The main period of time series change corresponds to the scale of peak value. Red noise is used as background spectrum to detect wavelet spectrum, because geophysical time series usually have the characteristics of red noise (Grinsted et al., 2004; Zhou, Shi, Fu, Li, Gan, & Liu, 2020).…”

Section: Methodsmentioning

confidence: 99%

“…Compared with other natural hazards, drought is a slow‐onset hazard that occurs in large areas over long time periods. Drought can have great impacts on socioeconomic development and ecological stability (King‐Okumu et al., 2020; Shi et al., 2018; Varela et al., 2019; Zhou, Shi, Fu, Li, Gan, & Liu, 2020). From the perspective of drought development, drought is mainly caused by long‐term precipitation deficit, which may further lead to soil moisture and runoff shortage through water cycle.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

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

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JGR Atmospheres

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

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

Zhou

Shi

et al. 2021

JGR Atmospheres

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“…The RMSEδ t values in winter were lower on the whole, indicating that the temporal difference of soil moisture was not significant over the whole study area. (Wang, & Qin, 2017;Zhang, Bu, Wang, & Jiang, 2019;Zhou et al, 2020).…”

Section: Temporal Characteristics Of Soil Moisture In Northern Chinamentioning

confidence: 99%

Spatiotemporal variation of soil moisture in Northern China based on climate change initiative data

et al. 2021

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In view of the sparse, uneven distribution and poor data continuity of measured soil moisture sites in China and the lack of large-scale research, the soil moisture data set of the European Space Agency (ESA) Climate Change Initiative (CCI) was applied to carry out spatial-temporal variation analysis of soil moisture in five agricultural ecological zones in Northern China. The Pearson correlation coefficient and multiplecomponent metric Kling-Gupta efficiency were used to verify the validity of remote sensing data and to analyze the temporal and spatial variation of soil moisture with the concept of temporal and spatial persistence. The ESA CCI remote sensing soil moisture data had good spatial and temporal adaptability for the whole year in the Huang-Huai-Hai region, in summer in Northeast China, in spring in Northwest China, in summer and autumn in the Loess Plateau, and in summer and autumn in the Inner Mongolian Plateau. The annual mean soil volume water content in Northern China from 1991 to 2016 was 0.06-0.39 m 3 m −3 . Spatially, soil moisture in Northern China has been gradually increasing from west to east. In this area, seasonally, soil moisture was the highest in summer, followed by autumn and then winter and spring.Northeast China, the Loess Plateau, and the Huang-Huai-Hai region are important grain-producing areas in China. The soil moisture in these areas fluctuates widely with seasonal changes and shows an obvious drying trend.Soil water plays an important role in controlling land-air water and energy exchange. Evapotranspiration, infiltration, and runoff of soil water have a great impact on water circulation and crop growth (Peng, Niesel, Loew, Zhang, & Wang, 2015). In arid and semi-arid regions, soil moisture content determines the growth status of green vegetation and agricultural productivity. A long-term lack of soil moisture is likely to cause an imbalance in energy exchange between the atmo-

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“…The Fifth Assessment Report (AR5) of the Intergovernmental Panel on Climate Change (IPCC, 2013) reported that the average global land and ocean surface temperature experienced a fast warming of 0.12°C/decade during 1951-2012. With this rise in temperature, corresponding changes in precipitation and evapotranspiration can cause changes in streamflow, which can lead to more stress on water supply and more frequent socioeconomic drought events (Mehran et al, 2015;Shi et al, 2017;Tsanis & Tapoglou, 2019;Vicuna et al, 2013;Zhou et al, 2020aZhou et al, , 2020b. Based on data from 190 countries all over the world, Smirnov et al (2016) pointed out that 68% of the selected countries would experience an increase in drought exposure primarily due to climate change, compared to 12% primarily due to population growth and 20% primarily due to the interaction effect.…”

Section: 1029/2020jd033005mentioning

confidence: 99%

Socioeconomic Drought Under Growing Population and Changing Climate: A New Index Considering the Resilience of a Regional Water Resources System

2020

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Socioeconomic drought occurs when water supply from a regional water resources system cannot meet the water demands. Even if a socioeconomic drought ends, the antecedent water deficit may continue to have impacts for some time, thus influencing the resilience of a regional water resources system. To take this into account, especially under growing population and changing climate, this study develops a new method through integrating a new index, Water Resources System Resilience Index (WRSRI), into socioeconomic drought event identification. The new index represents the percentage of the antecedent water deficit for a socioeconomic drought that can be recovered from the excess water during subsequent periods through analyzing records of a historical drought event. The methodology, implemented on the East River Basin in South China, involves three major steps: (1) calculation of WRSRI value; (2) analysis of key features of identified future socioeconomic drought events, that is, total number, longest duration (LD), and percentage on different drought levels; and (3) sensitivity analysis of WRSRI based on a total of 52 streamflow data sets generated from General Circulation Model outputs and using a macroscale hydrologic model. The results indicate that, for each data set, the total number decreases with an increase in WRSRI but the LD increases; moreover, for most data sets, the LD is less sensitive within the WRSRI range of [0, 0.6]. The outcomes of this study can enhance our capability in more effectively assessing the resilience of a regional water resources system, especially under changing future socioeconomic and environmental conditions.

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Assessing spatiotemporal characteristics of drought and its effects on climate-induced yield of maize in Northeast China

Cited by 77 publications

References 61 publications

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

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

Spatiotemporal variation of soil moisture in Northern China based on climate change initiative data

Socioeconomic Drought Under Growing Population and Changing Climate: A New Index Considering the Resilience of a Regional Water Resources System

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