Effect of digital elevation model spatial resolution on depression storage

Hou, Jingming; Li, Xinyi; Pan, Zhanpeng; Wang, Junhui; Wang, Ruike

doi:10.1002/hyp.14381

Cited by 9 publications

(6 citation statements)

References 39 publications

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“…The GAST model was found to be suitable for investigating the Impacts Assessment of Rainfall Characteristics and Land use Patterns on Runoff accumulation in the Hulu River Basin, China. Overall, the GAST model performance classification for the watershed was very good [67]. The GAST model results revealed that rainfall and land use had an effect on the hydrologic process of the Hulu River basin.…”

Section: Discussionmentioning

confidence: 80%

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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Section: Discussionmentioning

confidence: 80%

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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“…A key observation from this analysis is that a substantial majority of the flooded areas exhibit water depths within the range of 2 to 3 meters. This specific depth category accounts for a significant portion of the total flooded areas, with percentages being 43.54%, 44.77%, 44.65%, and 44.08% for the return periods of 50, 100, 500, and 1000 years, respectively (Hou, Li, et al, 2021). This pattern highlights a notable trend where areas experiencing higher water depths constitute a larger fraction of the overall flooded area, suggesting that these regions are particularly vulnerable to flooding.…”

Section: Flood Risk Analysismentioning

confidence: 84%

“…Focusing on watershed flood evolution, the study considered infiltration losses and roughness coefficients for various land use patterns, while neglecting evaporation processes. Manning coefficients and infiltration values were sourced from existing literature (Hou, Li, Pan, Wang, & Wang, 2021) and validated through model simulations. Table 1 presents the Manning coefficients and infiltration rates for the different land use types.…”

Section: Data Sourcementioning

confidence: 99%

Flood characteristics and risk analysis in small watersheds on the Loess Plateau under extreme heavy rainfall

Imran,

Hou,

Wang

et al. 2024

Preprint

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Climate change disrupts the hydrological cycle of river basins, leading to irregularities in rainfall patterns that can cause devastating floods. A two-dimensional hydrodynamic numerical model, GPU Accelerated Surface Water Flow and Transport was employed to simulate the process of flood progression in a small watershed during periods of heavy rainfall. The objective of this study was to examine the flood characteristics of these basins. Hydraulic properties of typical cross-sections were calculated for rainfall recurrence intervals of 50, 100, 500, and 1000 years, and a thorough assessment of flood vulnerability in the watershed was conducted. The results suggest that the rate of increase in the highest flood level is highest at the 500 year return period for all sections, reaching a value of 51.38%. However, during the span of the 1000 year return period, the growth rate undergoes a decrease to 7.61%. The flood peak growth rate exhibits an initial increase followed by a subsequent decrease as the rainfall return period increases. The maximum increase in water level for each cross-section is less than the corresponding rise in flood peak. The magnitude of floods in the watershed remains relatively consistent despite a larger recurrence interval. To maximize the socio-economic benefits, it is recommended to determine the dimensions of new road and railway bridge culverts in this small watershed according to the flood peak that happens once every 500 years. The research findings serve as vital resources for examining the reaction of small watersheds to heavy rainfall and evaluating flood control technologies.

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“…The input data of the model include rainfall, DEM, infiltration, manning coefficient, land‐use data, pipe‐network data. Based on high‐resolution DEM data, this model can simulate complex surface water flow in urban area (Bai et al, 2021; Han et al, 2021; Hou et al, 2020; Hou, Li, et al, 2021).…”

Section: Numerical Experiments Designmentioning

confidence: 99%

The effect of spatial–temporal characteristics of rainfall on urban inundation processes

Chen

Hou

et al. 2022

Hydrological Processes

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The spatial-temporal characteristics of rainfall is one of the important elements affecting urban inundation. In this work, the effect of spatial-temporal characteristics of rainfall on urban inundation processes was investigated. To solve the problem that it is difficult to acquire the spatial-temporal characteristics of rainfall, the weather generator model was used to generate rainfall data in accordance with the climatic conditions of the study area. Then, precise rainfall data with 1 km 2 spatial resolution and 5 min temporal resolution were obtained through the downscaling method.

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Effect of digital elevation model spatial resolution on depression storage

Cited by 9 publications

References 39 publications

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

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

Flood characteristics and risk analysis in small watersheds on the Loess Plateau under extreme heavy rainfall

The effect of spatial–temporal characteristics of rainfall on urban inundation processes

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