Spatial and Temporal Distribution Characteristics
of Rainstorm and Flood Disasters
Around Tarim Basin

Chen, Baoxin; Chen, Kan; Wang, Xi; Wang, Xu

doi:10.15244/pjoes/143579

Cited by 5 publications

(6 citation statements)

References 21 publications

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“…In order to compare the strength of disaster events, it is necessary to construct an actual disaster damage exponent (Ζ ) that can comprehensively express the five disaster factors. The weight of each disaster element was determined by the ratio method, and then the dimensionless linear combination method was used to obtain Ζ [24,25]. Suppose that each disaster factor consists of Ν sample, Ν=1394, so the disaster factor evaluation matrix Χ can be obtained.…”

Section: Methodsmentioning

confidence: 99%

“…In 38 counties (cities) in Northern Xinjiang, from 1981 to 2019, the frequency and intensity of flood disasters showed obvious regional differences. And the cumulative number of disasters that occurred on average over these 39 years in each region was as follows: Boltala Mongolian Autonomous Prefecture (70), Altay region (47), Yili Valley (45), northern Tianshan Mountains (25), Tacheng Area (21), which showed that the disaster events occurred most in Bortala Mongolian Autonomous Prefecture, and the least occurred in Tacheng Area; among them, Wenquan County had the most flood disasters, with a total of 103 occurrences (Figure 2a). Regional average annual damage exponents were as follows: Yili Valley (2.354), Altay (0.819), Tcheng (0.450), northern Tianshan (0.384), Bortala Mongolian Autonomous Prefecture (0.379).…”

Section: Spatial Distribution Of Flood Disaster In Northern Xinjiangmentioning

confidence: 99%

“…According to data from the China Ministry of Water Resources, 148 million people were affected by the flooding in 2020, and the direct economic losses from these floods were 178.96 billion Yuan, with these numbers being respectively 12.7% and 15.5% higher than the average values of the previous five years [9]. Heavy rainfall events frequently occur in Xinjiang, causing severe disasters [10,11] Statistics show that, from 1961 to 2019, 3,220 flood disasters devastated 86 counties (cities) in Xinjiang virtually annually, resulting in a total of 1,365 fatalities, more than 51.7×10 4 destroyed homes, 16.0×10 4 collapsed sheds, 156.3×10 4 dead livestock, and covering a damaged farmland area of 376.9×10 4 hm 2 [12]. Some scholars have conducted preliminary research on flood disasters in Xinjiang.…”

Section: Introductionmentioning

confidence: 99%

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Temporal and Spatial Distribution Characteristics of Flood Disasters with Different Intensities in Arid-Semiarid Region in Northern Xinjiang, China

et al. 2023

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Floods have devastating environmental and socioeconomic consequences. Flood disaster management is critical for the long-term management of water resources and agriculture in arid areas. Using the data on the number of deaths, destroyed homes, collapsed sheds, livestock deaths, and the crops affected area caused` by 1394 regional floods in Northern Xinjiang (As a typical arid-semiarid region of NorthWest China) from 1981 to 2019, the ratio-weight method and the dimensionless linear summation method was used to calculate the actual disaster damage exponent of flood disaster events. The damage exponent is further used to categorize the severity of disaster events into four grades: normal, moderate, severe, and extremely severe. The analysis results indicated that Bortala Mongolian Autonomous Prefecture experienced the highest frequency of catastrophic occurrences, while Ili River Valley experienced the highest intensity. The flood happened most often in Wenquan County. And Yining County suffered the worst calamity. The occurrence frequency and intensity of disasters from Grades 1 to 3 exhibited a unimodal distribution, with the majority and most vital occurrences in July, whereas the occurrence frequency and intensity of Grade 4 disasters followed a bimodal distribution, with the most occurrences in July and the strongest in April. The annual frequency of heavy rain and flood disasters in Northern Xinjiang increased by 7.7 times every 10 years, indicating a significant linear increase trend. The yearly occurrences of Grades 1 and 2 also increased linearly, by 5.2 and 2.0 times per decade, respectively. There was no linear tendency to increase or decrease flood disasters in Grades 3 and 4. The analysis and division of actual disaster damage are conducive to flood risk management, efficient prevention, and reducing disaster losses.

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Section: Methodsmentioning

confidence: 99%

Section: Spatial Distribution Of Flood Disaster In Northern Xinjiangmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Temporal and Spatial Distribution Characteristics of Flood Disasters with Different Intensities in Arid-Semiarid Region in Northern Xinjiang, China

et al. 2023

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“…However, with global warming, the frequency and intensity of extreme precipitation events have increased. In 2020, rainfall in the Yangtze River basin will reach 1441.5 mm, 22% more than usual and the most since 1961 (Chen, 2020;Huang et al, 2021). Under the influence of heavy rain in the middle and lower reaches of the Yangtze River, Poyang Lake experienced a large-scale flood.…”

Section: Introductionmentioning

confidence: 99%

Response of the microbial community structure to the environmental factors during the extreme flood season in Poyang Lake, the largest freshwater lake in China

Zhang,

Yuan,

Xiang

et al. 2024

Front. Microbiol.

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BackgroundPoyang Lake is the largest freshwater lake in China, and there are several studies on the composition and diversity of bacteria in Poyang Lake, while few quantitative studies were carried out on the response of the bacterial community to environmental factors during the extreme flood season in Poyang Lake.MethodsThe connected-lake heterogeneity of bacterial community composition (BCC) was investigated in Poyang Lake during the flood season in 2020. Illumina high-throughput sequencing technology was used in this study.ResultsThe bacterial community structure in the water was different from that in the sediment of Poyang Lake during extreme flood seasons. The bacterial diversity in water was much lower than that in sediment. In the water column, the dominant phyla were Actinobacteriota, while the composition of bacteria in sediment was more complex than that in water, and the dominant phyla in sediment were Proteobacteria, Chloroflexi, Acidobacteriota, and Actinobacteriota. The bacterial diversity in the water of Poyang Lake showed seasonal dynamics, while no seasonal variation of bacterial communities in sediment was observed. The bacterial community structure in the sediment from the two bays and channel areas of Poyang Lake can be distinguished from each other. The microbial diversity in sediment gradually increased from the Sancha Bay to the Zhouxi Bay and then to the channel, but the total nitrogen (TN) concentration in sediment (STN) and the total phosphorus (TP) concentration in sediment (STP) showed opposite trends. This might be due to the anthropogenic disturbances from the extreme flood. The bacterial community structure in, water column was significantly correlated with WT, NH4-N, STP, SOM, Chl a, DO, TP, and Eh, while the bacterial community structure in sediment was significantly correlated with SOM and STP.ConclusionThe bacterial community structure in water was greatly different from that in sediment in Poyang Lake during extreme flood seasons. The bacterial community structure in the water column was not only sensitive to the geochemical characteristics of the water but also affected by some nutrient concentrations in the sediment. During the wet seasons, bacterial diversity was only affected by SOM and STP.

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“…Torrential flooding refers to the disasters caused by torrential rains or long-time heavy rainfalls, such as mountain torrents, debris flows and urban waterlogging [1]. Torrential flooding is one of the most frequent and serious natural disasters in China, causing huge economic losses and casualties every year [2,3].…”

Section: Introductionmentioning

confidence: 99%

Temporal and Spatial Distribution Characteristics of Torrential Flooding Disasters with Different Intensities in Tarim Basin

null,

Liu,

Xie

et al. 2024

EARTH

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As torrential flooding often cause huge economic losses and casualties, analyzing the spatio-temporal variation characteristics of torrential flooding events is of great significance to disaster prevention and reduction. Based on five indicators for torrential floodingin the Tarim Basin in 1990-2019, ratio weighting and non-dimensional linear summation were employed to calculate disastrous loss indicators that represent disaster intensity. Afterwards, percentile method was used to divide disasters into four levels, i.e., general, relatively severe, severe and extremely severe. The results showed that the regions where Level-1 to Level-4 disasters frequently and recurrently occur are concentrated in Kizilsu Kirghiz Autonomous Prefecture, Aksu Prefecture and Kashgar Prefecture and that such disasters often take place from April to July. The interannual variation of the frequency and intensity of Level-1 disasters presented a linear upward trend, and the frequency and disastrous loss indicator increased by 14.6 and 0.8 per 10a, respectively. The interannual variation of the frequency and intensity of Level-2 to Level-4 disasters did not show a linear increase or decrease trend. The threshold for 12-hour precipitation that may cause torrential flooding in the basin from March and October is 10mm. The annual frequency of 12-hour precipitation exceeding the threshold increased year by year, so did the frequency and intensity of Level-1 disasters.

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Spatial and Temporal Distribution Characteristics of Rainstorm and Flood Disasters Around Tarim Basin

Cited by 5 publications

References 21 publications

Temporal and Spatial Distribution Characteristics of Flood Disasters with Different Intensities in Arid-Semiarid Region in Northern Xinjiang, China

Temporal and Spatial Distribution Characteristics of Flood Disasters with Different Intensities in Arid-Semiarid Region in Northern Xinjiang, China

Response of the microbial community structure to the environmental factors during the extreme flood season in Poyang Lake, the largest freshwater lake in China

Temporal and Spatial Distribution Characteristics of Torrential Flooding Disasters with Different Intensities in Tarim Basin

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