Spatiotemporal variation of flash floods in the Hengduan Mountains region affected by rainfall properties and land use

Sun, Xiaoyun; Zhang, Guotao; Wang, Jiao; Li, Chaoyue; Wu, Shengnan; Li, Yao

doi:10.1007/s11069-021-05061-5

Cited by 15 publications

(7 citation statements)

References 72 publications

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“…In the eastern edge of the Hengduan Mountains region and the southern region, where rainfall erosivity is high and intense rainstorms are prone to occur in summer, a study conducted by Sun [51] found that these regions were highly susceptible to flood disasters. Moreover, coupled with steep slopes and significant surface undulations, these areas were also prone to debris flows and flash floods, as revealed in the study by Hu Kaiheng et al [52].…”

Section: Discussionmentioning

confidence: 99%

Characteristics and Projection of Rainfall Erosivity Distribution in the Hengduan Mountains

Liang

Zhang

et al. 2023

Land

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This study examines the spatiotemporal variations of rainfall erosivity in the Hengduan Mountains, known for their rugged terrain and high potential for soil erosion risks, over the past 30 years. Additionally, it investigates the changing trends of rainfall erosivity between 2025 and 2040 under the Sustainable Development Pathway 2–4.5 (SSP2–4.5), using four Global Climate Models (GCMs) based on the Coupled Model Intercomparison Project phase 6 (CMIP6). The results indicate: (1) The annual distribution of rainfall erosivity in the Hengduan Mountains exhibited significant seasonal variations, ranking in the order of summer > autumn > spring > winter on a seasonal scale. (2) Over the past 30 years, there has been a slight decrease in annual precipitation and a corresponding slight increase in rainfall erosivity. Periodic extreme values occur every 6–8 years. (3) Spatially, rainfall erosivity demonstrates a decreasing gradient from southeast to northwest. There is a significant positive correlation between rainfall erosivity and precipitation, while a significant negative correlation exists with elevation in the vertical direction. Furthermore, the northeastern part of the Hengduan Mountains exhibits an increasing trend of rainfall erosivity, while the southern region experiences a decreasing trend. (4) Considering the joint driving forces of increased precipitation and erosive rainfall events, rainfall erosivity is expected to significantly increase in the future, posing a more severe risk of soil erosion in this region.

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Section: Discussionmentioning

confidence: 99%

Characteristics and Projection of Rainfall Erosivity Distribution in the Hengduan Mountains

Liang

Zhang

et al. 2023

Land

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“…(2) flash flood mechanisms [17,18], and (3) spatiotemporal distribution and influencing factors [19,20]. The risk assessment of flash floods is mainly to identify high and low risk areas at the local or national scale [15,21,22], which are mainly quantified by three methods: the scenario simulation method [23,24], a historical data based method [25,26], and an index based system method [27,28].…”

Section: Introductionmentioning

confidence: 99%

“…Despite extensive research into the mechanisms and drivers of flash floods, problems remain. Firstly, some studies indicate that land use has changed dramatically due to urban expansion and increased human activity [20], and there is an urgent need for research that starts with land-use factors for driving force analysis. Second, certain static factors respond to dynamic factors, while ignoring the spatiotemporal aspects of dynamic factors, which may lead to inaccurate and objective results.…”

Section: Introductionmentioning

confidence: 99%

Spatiotemporal Characteristics Analysis and Driving Forces Assessment of Flash Floods in Altay

Ahemaitihali

Dong

2022

Water

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Flash floods are devastating natural disasters worldwide. Understanding their spatiotemporal distributions and driving factors is essential for identifying high risk areas and predicting hydrological conditions. In this study, several methods were used to analyze the changing patterns and driving factors of flash floods in the Altay region. Results indicate that the number of flash floods each year increased in 1980–2015, with two sudden change points (1996 and 2008), and April, June, and July presented the highest frequency of events. Habahe and Jeminay were known to have high flash flood incidences; however, currently, Altay City, Fuhai, Fuyun, and Qinghe are most affected. In terms of driving force analysis, precipitation and altitude performance have a key impact on flash flood occurrence in this settlement compared to other subregions, with a high percentage increase in the mean squared error value of 39, 37, 37, 37, and 33 for 10 min precipitation in a 20-year return period, elevation, 60 min precipitation in a 20-year return period, 6 h precipitation in a 20-year return period, and 24 h precipitation in a 20-year return period, respectively. The study results provide insights into spatial–temporal dynamics of flash floods and a scientific basis for policymakers to set improvement targets in specific areas.

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“…Because of the heavy precipitation and storm surges, a large volume of runoff is generated that occupies and inundates land masses near waterways. Floods became more frequent, and disasters were intensified over the last few decades [2,8,9], closely linked to changes in the earth's climate and increased human interventions [10]. For example, flash floods have increased in the Hengduan Mountain region of China over the last decade [8].…”

Section: Introductionmentioning

confidence: 99%

“…Floods became more frequent, and disasters were intensified over the last few decades [2,8,9], closely linked to changes in the earth's climate and increased human interventions [10]. For example, flash floods have increased in the Hengduan Mountain region of China over the last decade [8]. Flash floods in Chamoli, Uttarakhand region were analyzed by Verma et al [11], and they found that the flood intensities have significantly increased.…”

Section: Introductionmentioning

confidence: 99%

The Assessment of Climate Change Impacts and Land-use Changes on Flood Characteristics: The Case Study of the Kelani River Basin, Sri Lanka

et al. 2022

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Understanding the changes in climate and land use/land cover (LULC) over time is important for developing policies for minimizing the socio-economic impacts of riverine floods. The present study evaluates the influence of hydro-climatic factors and anthropogenic practices related to LULC on floods in the Kelani River Basin (KRB) in Sri Lanka. The gauge-based daily precipitation, monthly mean temperature, daily discharges, and water levels at sub-basin/basin outlets, and both surveyed and remotely sensed inundation areas were used for this analysis. Flood characteristics in terms of mean, maximum, and number of peaks were estimated by applying the peak over threshold (POT) method. Nonparametric tests were also used to identify the climatic trends. In addition, LULC maps were generated over the years 1988–2017 using Landsat images. It is observed that the flood intensities and frequencies in the KRB have increased over the years. However, Deraniyagala and Norwood sub-basins have converted to dry due to the decrease in precipitation, whereas Kithulgala, Holombuwa, Glencourse, and Hanwella showed an increase in precipitation. A significant variation in atmospheric temperature was not observed. Furthermore, the LULC has mostly changed from vegetation/barren land to built-up in many parts of the basin. Simple correlation and partial correlation analysis showed that flood frequency and inundation areas have a significant correlation with LULC and hydro-climatic factors, especially precipitation over time. The results of this research will therefore be useful for policy makers and environmental specialists to understand the relationship of flood frequencies with the anthropogenic influences on LULC and climatic factors.

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Spatiotemporal variation of flash floods in the Hengduan Mountains region affected by rainfall properties and land use

Cited by 15 publications

References 72 publications

Characteristics and Projection of Rainfall Erosivity Distribution in the Hengduan Mountains

Characteristics and Projection of Rainfall Erosivity Distribution in the Hengduan Mountains

Spatiotemporal Characteristics Analysis and Driving Forces Assessment of Flash Floods in Altay

The Assessment of Climate Change Impacts and Land-use Changes on Flood Characteristics: The Case Study of the Kelani River Basin, Sri Lanka

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