Driving Force Analysis of the Temporal and Spatial Distribution of Flash Floods in Sichuan Province

Liu, Yesen; Yuan, Xiaochen; Guo, Liang; Huang, Yaohuan; Zhang, Xiaolei

doi:10.3390/su9091527

Cited by 38 publications

(26 citation statements)

References 13 publications

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“…In particular, after 1980, the quantity of flash floods increased sharply (Figure 2b). The pattern is consistent with that of Sichuan Province in China [28,29]. Possible reasons include intensified human activity and increased extreme precipitation events in Fujian [63].…”

Section: Spatiotemporal Patterns Of Flash Floodssupporting

confidence: 85%

“…Second, a few studies have revealed the effect of human activities on flash floods, but research on the responses of flash floods to the gradual intensifying of human activity and precipitation is still rare. Finally, previous studies have detected the interaction between two driving factors [28,29], but the results did not sufficiently reflect the contribution rate of each driving factor. Therefore, research from the perspective of the interaction of multiple factors with flash floods is highly recommended.…”

Section: Introductionmentioning

confidence: 64%

“…The obvious changes were attributed to the development of urban construction. The natural cover protection was damaged [79], the urban impermeable area increased, and river gullies were occupied [80], with the result of reduced precipitation thresholds required for a flash flood to occur [29].…”

Section: Low-middle Mountains Hills and Valley Region In Central Fumentioning

confidence: 99%

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Spatiotemporal Characteristics and Driving Force Analysis of Flash Floods in Fujian Province

Xiong

Quan

Fan

et al. 2020

IJGI

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Flash floods are one of the most destructive natural disasters. The comprehensive identification of the spatiotemporal characteristics and driving factors of a flash flood is the basis for the scientific understanding of the formation mechanism and the distribution characteristics of flash floods. In this study, we explored the spatiotemporal patterns of flash floods in Fujian Province from 1951 to 2015. Then, we analyzed the driving forces of flash floods in geomorphic regions with three different grades based on three methods, namely, geographical detector, principal component analysis, and multiple linear regression. Finally, the sensitivity of flash floods to the gross domestic product, village point density, annual maximum one-day precipitation (Rx1day), and annual total precipitation from days > 95th percentile (R95p) was analyzed. The analytical results indicated that (1) The counts of flash floods rose sharply from 1988, and the spatial distribution of flash floods mainly extended from the coastal low mountains, hills, and plain regions of Fujian (IIA2) to the low-middle mountains, hills, and valley regions in the Wuyi mountains (IIA4) from 1951 to 2015. (2) From IIA2 to IIA4, the impact of human activities on flash floods was gradually weakened, while the contribution of precipitation indicators gradually strengthened. (3) The sensitivity analysis results revealed that the hazard factors of flash floods in different periods and regions had significant differences in Fujian Province. Based on the above results, it is necessary to accurately forecast extreme precipitation and improve the economic development model of the IIA2 region.

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Section: Spatiotemporal Patterns Of Flash Floodssupporting

confidence: 85%

Section: Introductionmentioning

confidence: 64%

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Spatiotemporal Characteristics and Driving Force Analysis of Flash Floods in Fujian Province

Xiong

Quan

Fan

et al. 2020

IJGI

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“…The catchment is located in the region that was selected for forest cover expansion under various conservation programs such as GTGP and NFCP. Moreover, it has experienced various floods in the past that have resulted in various types of disasters such as loss of human lives and economic losses [37]. Hence, the Guangyuan catchment serves as an ideal site to evaluate the impact of reforestation induced land use land cover change on flood peak discharge.…”

Section: Study Areamentioning

confidence: 99%

The Impact of Reforestation Induced Land Cover Change (1990–2017) on Flood Peak Discharge Using HEC-HMS Hydrological Model and Satellite Observations: A Study in Two Mountain Basins, China

Kabeja

Guo

et al. 2020

Water

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Understanding the effect of land use and land cover (LULC) type change on watershed hydrological response is essential for adopting applicable measures to control floods. In China, the Grain to Green Program (GTGP) and the Natural Forest Conservation Program (NFCP) have had a substantial impact on LULC. We investigate the effect of these conservation efforts on flood peak discharge in two mountainous catchments. We used a series of Landsat images ranging from 1990 to 2016/2017 to evaluate the LULC changes. Further to this, the hydrological responses at the basin and sub-basin scale were generated by the Hydrologic Modeling System (HEC-HMS) under four LULC scenarios. Between 1990 and 2016/2017, both catchments experienced an increase in forest and urban land by 18% and 2% in Yanhe and by 16% and 8% in Guangyuan, respectively. In contrast, the agricultural land decreased by approximately 30% in Yanhe and 24% in Guangyuan, respectively. The changes in land cover resulted in decrease in flood peak discharge ranging from 14% in Yanhe to 6% in Guangyuan. These findings provide a better understanding on the impact of reforestation induced LULC change on spatial patterns of typical hydrological responses of mountainous catchment and could help to mitigate flash flood hazards in other mountainous regions.

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“…Existing research concerned with urban flooding has usually been at the basin scale [2] and usually involved: inundation analysis targeting province [3], sewer network analysis [4], and impact evaluation of flood prevention measures [5]. Recently, various models and techniques were applied to predict flooding, inundation, and its vulnerability in advanced approaches [6][7][8][9].…”

Section: Previous Studies and Selection Of Model Dimensionmentioning

confidence: 99%

Numerical Computation of Underground Inundation in Multiple Layers Using the Adaptive Transfer Method

Rhee

Song

2018

Water

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Extreme rainfall causes surface runoff to flow towards lowlands and subterranean facilities, such as subway stations and buildings with underground spaces in densely packed urban areas. These facilities and areas are therefore vulnerable to catastrophic submergence. However, flood modeling of underground space has not yet been adequately studied because there are difficulties in reproducing the associated multiple horizontal layers connected with staircases or elevators. This study proposes a convenient approach to simulate underground inundation when two layers are connected. The main facet of this approach is to compute the flow flux passing through staircases in an upper layer and to transfer the equivalent quantity to a lower layer. This is defined as the 'adaptive transfer method'. This method overcomes the limitations of 2D modeling by introducing layers connecting concepts to prevent large variations in mesh sizes caused by complicated underlying obstacles or local details. Consequently, this study aims to contribute to the numerical analysis of flow in inundated underground spaces with multiple floors.

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Driving Force Analysis of the Temporal and Spatial Distribution of Flash Floods in Sichuan Province

Cited by 38 publications

References 13 publications

Spatiotemporal Characteristics and Driving Force Analysis of Flash Floods in Fujian Province

Spatiotemporal Characteristics and Driving Force Analysis of Flash Floods in Fujian Province

The Impact of Reforestation Induced Land Cover Change (1990–2017) on Flood Peak Discharge Using HEC-HMS Hydrological Model and Satellite Observations: A Study in Two Mountain Basins, China

Numerical Computation of Underground Inundation in Multiple Layers Using the Adaptive Transfer Method

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