Spatio-temporal variation of drought in China during 1961–2012: A climatic perspective

Xu, Kai; Yang, Dawen; Yang, Hanbo; Li, Zhe; Qin, Yue; Shen, Yan

doi:10.1016/j.jhydrol.2014.09.047

Cited by 479 publications

(326 citation statements)

References 45 publications

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“…Peng et al (2011) and Xu et al (2014) pointed out that the drought risk of the Loess Plateau is high, which is generally similar to what we found in this study. The results in this study indicate that drought risk increases from south to north in the Yellow River basin, which is consistent with the finding of She and Xia (2013).…”

Section: Discussionsupporting

confidence: 92%

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Integrated index for drought assessment based on variable fuzzy set theory: A case study in the Yellow River basin, China

Huang

Chang

Leng

et al. 2015

Journal of Hydrology

138

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Keywords:Integrated drought index Variable fuzzy set theory Entropy weight method Qualitative change point The Yellow River basin s u m m a r y It is of great importance to construct an integrated drought indicator, which is of great importance to drought risk assessment and decision-making. Given the fuzzy nature of drought, the variable fuzzy set theory was applied to develop an Integrated Drought Index (IDI) combining meteorological, hydrological, and agricultural factors across the Yellow River basin in North China. The runoff and soil moisture were derived by driving the calibrated Variable Infiltration Capacity (VIC) model with observed atmospheric forcing. Furthermore, the law of mutual change of quality and quantity was adopted to identify qualitative change points of annual IDI series in the Yellow River basin. The results indicate that: (1) the Integrated Drought Index (IDI) has a better performance compared with Standardized Precipitation Index (SPI) and Standardized streamflow Index (SSFI), and it is more sensitive and effective to capture drought onset and persistence, largely owing to its combination with the information of different drought-related variables; (2) spatially, the middle reaches has a higher drought risk than the rest portions of the Yellow River basin; seasonally, drought risk in spring and winter is larger than other seasons; overall, the IDI of the basin is dominated by an insignificantly downward trend; (3) some qualitative change points of drought were identified in the Yellow River basin, and those are primarily induced by ENSO events and the construction of dams and reservoirs. This study proposed an alternative drought indicator coupled with multivariate drought-related variables by objectively determining their weights based on the entropy weight method, which has a great value in characterizing drought.

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Section: Discussionsupporting

confidence: 92%

“…Many previous papers also studied the drought-related issues in the Yellow River basin (Xie and Fu, 2004;Shiau et al, 2007;Peng et al, 2011;She and Xia, 2013;Xu et al, 2014). Peng et al (2011) and Xu et al (2014) pointed out that the drought risk of the Loess Plateau is high, which is generally similar to what we found in this study.…”

Section: Discussionsupporting

confidence: 89%

Integrated index for drought assessment based on variable fuzzy set theory: A case study in the Yellow River basin, China

Huang

Chang

Leng

et al. 2015

Journal of Hydrology

138

View full text Add to dashboard Cite

show abstract

“…Some studies at the country [e.g. Vicente-Serrano, 2006;Vidal et al, 2010;Xu et al, 2015;Zhai et al 2016] and continental [Lloyd-Hughes, 2012] scales have explored drought cluster characteristics (e.g. distribution of centroids, direction of displacement over time, and changes in cluster area, intensity, and severity).…”

mentioning

confidence: 99%

Spatiotemporal dynamics of global drought

Herrera-Estrada

Satoh

Sheffield

2017

Geophysical Research Letters

161

112

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Understanding the evolution and physical drivers of drought is critical to informing forecasting efforts. One aspect that has seldom been explored is the joint evolution of droughts in space and time. Most studies fix the reference area and focus on their temporal variability or study their spatial heterogeneity over fixed durations. This work implements a Lagrangian approach by aggregating contiguous areas under drought into clusters. These clusters become the frame of reference and are tracked as they evolve through space and time. Clusters were identified from soil moisture data from the Climate Forecast System Reanalysis (1979–2009). Evapotranspiration, moisture fluxes, and precipitation were used to explore the relevance of possible mechanisms of drought propagation. While most droughts remain near their origin, the centroid of 10% of clusters traveled at least 1400–3100 km, depending on the continent. This approach also revealed that large‐scale droughts often lock into further growth and intensification.

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“…The amount of cultivated land has captured extensive concern in the light of its impact on food security in China. Drought is a powerful natural force with a significant impact on food security in China [36]. Irrigation plays a crucial role in Chinese grain production [11].…”

Section: Spatial Autoregression With Panel Datamentioning

confidence: 99%

Spatial Analysis of Chinese Grain Production for Sustainable Land Management in Plain, Hill, and Mountain Counties

Zou

2017

Sustainability

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In the context of China's food security, spatially explicit information on grain production is an important asset to achieve the sustainable management of cultivated land. Previous studies have shown that spatial mismatches exist between grain production and water and cultivated land resources. In this paper, county-level data are used to investigate the degree of spatial (mis)match between grain output and the geographical distribution patterns of plain, hill, and mountain counties. We estimate the difference in grain output between these different types of counties with a Spatial Autoregression Model. The results indicate that plain counties have the highest grain output, followed by hill counties and mountain counties subsequently. The reasons for the higher production in plain counties lie in the presence of more cultivated land, as well as a higher degree of irrigation and agricultural mechanization. The current pattern of Chinese total grain production follows the law of substituting labor with mechanization. Improving efficiency in the use of water resources and chemical fertilizer is both urgent and crucial. In this paper, we propose that the future roles for total grain production in relation to landforms should be: increased production and competitiveness in plain counties, a stabilization of capacity in hill counties, and a decrease in grain production in mountain counties.

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Spatio-temporal variation of drought in China during 1961–2012: A climatic perspective

Cited by 479 publications

References 45 publications

Integrated index for drought assessment based on variable fuzzy set theory: A case study in the Yellow River basin, China

Integrated index for drought assessment based on variable fuzzy set theory: A case study in the Yellow River basin, China

Spatiotemporal dynamics of global drought

Spatial Analysis of Chinese Grain Production for Sustainable Land Management in Plain, Hill, and Mountain Counties

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