Spatial-temporal Variation of Precipitation Concentration Degree and Precipitation Concentration Period in Gansu Province in Recent 50 Years

Li, Qingfeng; Zhao, Chuancheng; Yao, Shuntian; Wang, Shengxia

doi:10.1088/1755-1315/693/1/012071

Cited by 2 publications

(3 citation statements)

References 14 publications

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“…The variation trend of the monthly and seasonal precipitation concentration index aggravates the polarization of precipitation distribution, showing the temporal variation characteristics of "drier the drier, wetter". Li discussed the variation characteristics of precipitation concentration in the flood season and mid-period in the Xianhe River Basin in the upper reaches of Huaihe River [18]. The analysis of precipitation characteristics was also widely used in the Hanjiang River Basin [19], Lancang River Basin [20], Luanhe River Basin [21], Southwest region and Loess Plateau [22,23].…”

Section: Introductionmentioning

confidence: 99%

Analysis of the Characteristics of Uneven Spatio-Temporal Distribution in Wujiang River Basin over the Last 60 Years

Wang,

Peng,

Xiang

et al. 2023

Atmosphere

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Exploring the characteristics of uneven temporal and spatial distribution of precipitation in mountain watersheds can provide a reference for regional agricultural development and resource utilization, and contribute to the protection of the ecological environment. Based on the daily precipitation observation data of 40 meteorological stations in the Wujiang River Basin from 1963 to 2021, the temporal- and spatial-variation characteristics of the precipitation concentration degree (PCD) and precipitation concentration period (PCP) were analyzed using the Randall S analysis method, Mann–Kendall test method, Pettitt method, wavelet analysis and empirical orthogonal function (EOF). The results showed that the fluctuation range of PCD in Wujiang River Basin from 1963 to 2021 was 0.34–0.59, with a multi-year average of 0.47, which was obviously higher than the national average level and is showing a trend of slowly increasing. The fluctuation range of PCP was between 17.1 and 21.5 days, with a multi-year average of 19.0. The annual precipitation was mostly concentrated around the middle of July and showed a slowly decreasing trend. The abrupt change in PCD and PCP occurred around 1983 and 2001, respectively. There is an obvious Hearst phenomenon in PCP. In the future, the trend of precipitation concentration in the middle period will remain in advance, and the degree of precipitation concentration will continue to increase. The maximum precipitation in the flood season will continue to be delayed. The spatial pattern of the first mode of PCD and PCP in the Wujiang River basin was consistent and showed an opposite pattern between the upper reaches and the middle-lower reaches of the basin, which reflects the influence of the topography of the basin on the spatial distribution of precipitation. The distribution of precipitation is affected by topography. The elevation change in the basin was complex, and the leeward slope varied a lot. Therefore, it has a significant impact on precipitation. Areas with less precipitation are at higher elevations and on mountain leeward slopes, with a lack of moist air flow. The area with more precipitation was the summer monsoon mountain windward slope, and the topography blocks the increase in precipitation. The elevation of the central region is relatively uniform and the terrain is flat. Therefore, the distribution of precipitation is more uniform.

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Section: Introductionmentioning

confidence: 99%

Analysis of the Characteristics of Uneven Spatio-Temporal Distribution in Wujiang River Basin over the Last 60 Years

Wang,

Peng,

Xiang

et al. 2023

Atmosphere

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“…Since the 1950s, increases in the concentration of anthropogenic greenhouse gases have caused warming of almost the entire surface of the Earth, along with continuous ocean warming, energy storage, river melting, and sea level rise (Allen et al ., 2014; Wang et al ., 2019). Owing to global warming and the intense impact of human activities, the hydrological cycle may increase, leading to significant nonuniformity in precipitation (Mondol et al ., 2018; Yang et al ., 2021; Yang et al ., 2020; Li et al ., 2021; Dong et al ., 2021a). As global warming increases, extreme precipitation events become more frequent and intense over longer durations, and a high percentage of the total annual precipitation is limited to a few heavy rainy days (Li et al ., 2011; Huang et al ., 2015; Chatterjee et al ., 2016; Mathbout et al ., 2020).…”

Section: Introductionmentioning

confidence: 99%

“…Zhang and Qian (2003) proposed the precipitation concentration degree (PCD) and precipitation concentration period (PCP) indices. PCD has been applied globally as well as in China (Liu et al ., 2016a), India, Turkey (Abolverdi et al ., 2016), Mexico and Iran, and on small regional scales (Huang et al ., 2018; Li et al ., 2021). This index measures the inhomogeneity of precipitation over a year.…”

Section: Introductionmentioning

confidence: 99%

Spatiotemporal variation in precipitation concentration and its potential relationship with drought under different scenarios in Inner Mongolia, China

Guo

Zhang

et al. 2022

Intl Journal of Climatology

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Global warming has altered the uniformity of precipitation in Inner Mongolia, China, eventually leading to droughts. Further studies are necessary to determine the relationship between the concentration of precipitation and drought.Therefore, we assessed the spatial and temporal characteristics of the precipitation concentration degree (PCD), precipitation concentration period (PCP), and standardized precipitation evapotranspiration index (SPEI) in Inner Mongolia in the past and predict changes in the three indices under different scenarios in the future (2018-2100) using measured model data and Sen's slope and Mann-Kendall trend analysis. The correlation between PCD/PCP and SPEI was explored using Pearson's correlation coefficient. The results showed that the spatial distribution of PCD and PCP in Inner Mongolia exhibited significant east-west differences. The PCD values were 0.42-0.76, with high-value areas in the east. PCD showed a decreasing trend in both historical and future scenarios, indicating an even distribution of precipitation and an increased risk of drought. The PCP values were 190 -226 , with high-value areas mainly in the western region. Except for in the Representative Concentration Pathways RCP4.5 and RCP8.5, PCP values in the historical and RCP2.6 scenarios showed a decreasing trend, indicating an earlier onset of maximum precipitation. SPEI values ranged between −1.23 and 1.17, with all future scenarios showing a decreasing trend and the historical scenario showing an increasing trend. The stations with positive correlation between SPEI and PCD accounted for 89.13, 67.39, 91.3, and 95.65% of Inner Mongolia, while those with positive correlation with PCP accounted for 43.47, 60.87, 56.52, and 4.35%, indicating that the correlation between drought variation and precipitation concentration is strong. These results can help reduce and prevent droughts and floods caused by changes in precipitation patterns and provide a basis for the rational use of water resources for preventing droughts and making relief decisions.

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Spatial-temporal Variation of Precipitation Concentration Degree and Precipitation Concentration Period in Gansu Province in Recent 50 Years

Cited by 2 publications

References 14 publications

Analysis of the Characteristics of Uneven Spatio-Temporal Distribution in Wujiang River Basin over the Last 60 Years

Analysis of the Characteristics of Uneven Spatio-Temporal Distribution in Wujiang River Basin over the Last 60 Years

Spatiotemporal variation in precipitation concentration and its potential relationship with drought under different scenarios in Inner Mongolia, China

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