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Estimation of discharges of water flows and debris floods in a small watershed
Author(s) -
Guo Xiaojun,
Cui Peng,
Chen Xingchang,
Li Yong,
Zhang Ju,
Sun Yuqing
Publication year - 2021
Publication title -
earth surface processes and landforms
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.294
H-Index - 127
eISSN - 1096-9837
pISSN - 0197-9337
DOI - 10.1002/esp.5053
Subject(s) - hydrograph , environmental science , hydrology (agriculture) , debris flow , watershed , surface runoff , precipitation , flood myth , debris , sediment , return period , time of concentration , geology , meteorology , geomorphology , geotechnical engineering , ecology , philosophy , oceanography , physics , theology , machine learning , computer science , biology
Floods in small mountainous watersheds cover a wide spectrum of flow. They can range from clear water flows and hyperconcentrated flows to debris floods and debris flows, and calculation of the peak discharge is crucial for predicting and mitigating such hazards. To determine the optimal approach for discharge estimation, this study compared water flow monitoring hydrographs to investigate the performance of five hydrological models that incorporate different runoff yields and influx calculation methods. Two of the models performed well in simulating the peak discharge, peak time, and total flow volume of the water flood. The ratio ( γ ) of the monitored debris flood discharge ( Q d ) to the simulated water flow discharge ( Q w ) was investigated. Qualitatively, γ initially increased with Q w but then decreased when Q w exceeded a certain threshold, which corresponded to rainfall of 95 and 120 mm in a 6‐ and 24‐h event with a normal distribution of precipitation, respectively. The decrease might be attributable to a threshold of sediment availability being reached, beyond which increased flow rate is not matched by increased sediment input in the large watershed. Uncertainty of hydrological calculation was evaluated by dividing the catchment into sub‐basins and adopting different rainfall time steps as input. The efficiency of using a distributed simulation exhibited marginal improvement potential compared with a lumped simulation. Conversely, the rainfall time step input significantly affected the simulation results by delaying the peak time and decreasing the peak discharge. This research demonstrates the applicability of a discharge estimation method that combines a hydrological water flow simulation and an estimation of γ . The results were verified on the basis of monitored flow densities and videos obtained in two watersheds with areas of 2.34 and 32.4 km 2 .