Surface runoff response to long-term land use changes: Spatial rearrangement of runoff-generating areas reveals a shift in flash flood drivers

Prokešová, Roberta; Horáčková, Šárka; Snopková, Zora

doi:10.1016/j.scitotenv.2021.151591

Cited by 22 publications

(10 citation statements)

References 45 publications

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“…According to the analysis of the document library on the early identification of flash flood disasters, it was found that 63 discipline categories (analysis of labeling results by WOS) were involved in this field, which indicated that the research on the early identification of flash flood disasters involves a wide range of disciplines. The top five discipline categories were water resources [68], geosciences multidisciplinary [69], meteorology atmospheric sciences [70], environmental sciences, and civil engineering [71], and there were 281, 244, 193, 192, and 72 documents representing these five discipline categories, respectively.…”

Section: Discipline Categorymentioning

confidence: 99%

“…(3) Recent research of meteorology atmospheric sciences was to explore the correlation among peak flow, rainfall change, and basin landform through machine learning [70], clarifying the relationship among them by the method of multidimensional statistical modeling as well as creating a simple model with low deviation and variance for flash flood disaster prediction. (4) A study on environmental sciences was to draw the past and present land utilization/land cover (LULC) [71] categories based on historical maps and remote sensing data, and then estimate the surface runoff depth of specially designed rainstorms in two periods by executing the soil conservation service curve number (SCS-CN) methodology in the ArcGIS environment, filling the gap in the research on the impact of increased surface runoff caused by human factors on flash floods in the basin. (5) A study related to civil engineering [72] was to identify the sections most vulnerable to flash flood disasters by innovatively combining a flash flood disaster map with a road chain plan.…”

Section: Discipline Categorymentioning

confidence: 99%

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Meta-Analysis and Visualization of the Literature on Early Identification of Flash Floods

et al. 2022

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Flash flood is one of the extremely destructive natural disasters in the world. In recent years, extreme rainfall events caused by global climate change have increased, and flash flood disasters are becoming the main types of natural disasters in the world. Due to the characteristics of strong suddenness, complex disaster-causing factors, great difficulty in prediction and forecast, and the lack of historical data, it is difficult to effectively prevent and control flash flood disaster. The early identification technology of flash floods is not only the basis of flash flood disaster prediction and early warning, but also an effective means of flash flood prevention and control. The paper makes a meta-analysis and visual analysis of 475 documents collected by the Web of Science Document Platform in the past 31 years by comprehensively using Citespace, Vosviewer, Origin, etc. We systematically summarize the research progress and development trend of early identification technology of flash flood disasters from five key research subfields: (1) precipitation, (2) sediment, (3) sensitivity analysis, (4) risk assessment, (5) uncertainty analysis. In addition, we analyze and discuss the main problems encountered in the current research of several subfields and put forward some suggestions to provide references for the prevention and control of flash flood disasters.

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Section: Discipline Categorymentioning

confidence: 99%

Section: Discipline Categorymentioning

confidence: 99%

Meta-Analysis and Visualization of the Literature on Early Identification of Flash Floods

et al. 2022

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“…Furthermore, related research has demonstrated that runoff is more impacted by the evolution of landscape patterns than by rainfall [47]. The primary focus of relevant domestic and international research on surface runoff and land use and landscape pattern is on the watershed and urban scale [48]. Surface runoff response becomes increasingly evident when urban impermeable surface grows, and precipitation decreases [44].…”

Section: Introductionmentioning

confidence: 99%

Assessment of the Impacts of Rainfall Characteristics and Land Use Pattern on Runoff Accumulation in the Hulu River Basin, China

Imran,

Hou,

Wang

et al. 2024

Water

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Climate change causes the river basin water cycle disorders, and rainfall characteristics frequently result in flood disasters. This study aims to simulate and assess the response behavior of basin floods under the influence of rainfall characteristics and land use changes in the Hulu River basin using a 2D hydrological and hydraulic GAST (GPU Accelerated Surface Water Flow and Transport Model). The peak flow rate and water depth during floods were examined by simulating the evolution process of basin floods and related hydraulic elements under the independent effects of various rainfall characteristics or land use and further simulating the response results of basin floods under the combined effects of rainfall characteristics and land use. The seven scenarios were set to quantify the degree of influence that land use and rainfall characteristics have on the basin flood process based on examining changes in land use and rainfall characteristics in the research area. The results from different rainfall characteristics scenarios depicted that as the rainfall return period is shorter, the peak flow rate is higher, and the peak flow rate is lower as the return period is prolonged. Under different rainfall characteristics, the peak flow rate in scenario R8 is 41.30%, 40.00%, and 34.51% higher than the uniform distribution of rainfall, while water depth is decreased by 0.55%, increased by 4.96% and 2.92% as compared to the uniform distribution of rainfall. While under different land use scenarios, it is observed that the change in land use has increased 2.7% in cultivated land and 1.1% in woodland. In addition, the interactive effect of different rainfall characteristics and land use it can be seen that the scenario with the greatest reduction in flood risk due to rainfall characteristics and land use is RL2-4, representing a 12.55% decrease in peak flow and a 37.69% decrease in peak water depth. In this scenario, the rainfall is heavier in the southeast and northwest regions and lighter in the northeast and southwest regions. The land use type is characterized by reforestation and the return of cultivated land to forests. The changes in rainfall distribution and the increase in grassland contribute to the decrease in flood threat. Future research in the erodible parts of the Hulu River basin, planning for water resources, and soil and water conservation can all benefit from the study’s conclusions.

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“…Other studies have shown that surface runoff fluctuations are affected by both rainfall and land use changes [34], and related studies have shown that the impact of landscape pattern evolution on runoff has a greater effect than the impact of rainfall [35]. The related research on landscape pattern or land use and surface runoff, whether conducted at home or abroad, is primarily based on watershed and urban scale [36]. Previous studies have found that landscape fragmentation is negatively correlated with runoff and that landscape dominance is positively correlated with runoff [37]; the larger and more concentrated the area of artificial landscape patches is, the stronger the surface runoff generation capacity will be [38].…”

Section: Introductionmentioning

confidence: 99%

Evolution Characteristics of Landscape Patterns and the Response of Surface Runoff in a Rapid Urbanization Area: Focus on the Chang–Zhu–Tan Metropolitan Area of China

Li,

Chen,

et al. 2023

Water

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With the acceleration of urbanization, the disturbance to urban landscape patterns causes changes to urban surface runoff and increases the risk of urban waterlogging. We studied the response relationship between landscape pattern change and surface runoff in the Chang–Zhu–Tan metropolitan area for the period from 2000 to 2020, analyzing the driving factors that affected surface runoff. The influence of landscape pattern evolution on surface runoff was studied using the SCS-CN flow generation model, the moving window method, and Pearson’s analysis. The analysis showed that between 2000 and 2020, the forest area decreased, while the impermeable land area increased substantially. At the same time, the landscape spread degree (CONTAG) decreased, whereas the landscape fragmentation degree (DIVISION) increased, and the Shannon diversity index (SHDI) and landscape shape index (LSI) increased. The surface runoff in the main urban areas of Chang–Zhu–Tan increased substantially. The results showed that surface runoff is negatively correlated with SHDI, LSI, and DIVISION but displays a positive relationship to CONTAG. Soil texture and precipitation had the greatest impact on surface runoff. This study emphasizes the importance of landscape pattern evolution to surface runoff in rapidly developing metropolitan areas in terms of reducing surface runoff, alleviating urban waterlogging and preventing regional floods. Our research additionally seeks to optimize the landscape pattern of the Chang–Zhu–Tan metropolitan area.

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Surface runoff response to long-term land use changes: Spatial rearrangement of runoff-generating areas reveals a shift in flash flood drivers

Cited by 22 publications

References 45 publications

Meta-Analysis and Visualization of the Literature on Early Identification of Flash Floods

Meta-Analysis and Visualization of the Literature on Early Identification of Flash Floods

Assessment of the Impacts of Rainfall Characteristics and Land Use Pattern on Runoff Accumulation in the Hulu River Basin, China

Evolution Characteristics of Landscape Patterns and the Response of Surface Runoff in a Rapid Urbanization Area: Focus on the Chang–Zhu–Tan Metropolitan Area of China

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