基于混合产流模式的黄土高原流域水沙过程耦合模拟

卢昂; 田鹏; 赵广举; 穆兴民; 耿韧; 张舒羽; 杨林; 左巴特

doi:10.13870/j.cnki.stbcxb.2023.06.008

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基于混合产流模式的黄土高原流域水沙过程耦合模拟

更新时间：2025-03-12

- 基于混合产流模式的黄土高原流域水沙过程耦合模拟
- Runoff and Sediment Processes Simulation Based on Mixed Runoff Generation Model in the Loess Plateau Watershed, China
- 水土保持学报 2023年37卷第6期页码：57-64
- 作者机构：
  
  1. 西北农林科技大学水土保持研究所, 黄土高原土壤侵蚀与旱地农业国家重点实验室, 陕西杨凌,712100
  2. 西北农林科技大学资源环境学院, 陕西杨凌,712100
  3. 南京水利科学研究院水文水资源与水利工程科学国家重点实验室,南京,210029
- 作者简介：
  
  [ "卢昂(2001-),男,河南南阳人,在读硕士研究生,主要从事土壤侵蚀与水土保持研究。E-mail:2021051531@nwafu.edu.cn" ]
- 基金信息：
  
  国家自然科学基金项目(U2243221,42177323,42077076)
- DOI：10.13870/j.cnki.stbcxb.2023.06.008
  中图分类号：
- 纸质出版：2023
- 稿件说明：
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卢昂, 田鹏, 赵广举, 等. 基于混合产流模式的黄土高原流域水沙过程耦合模拟[J]. 水土保持学报, 2023,37(6):57-64.

LU Ang, TIAN Peng, ZHAO Guangju, et al. Runoff and Sediment Processes Simulation Based on Mixed Runoff Generation Model in the Loess Plateau Watershed, China[J]. 2023, 37(6): 57-64.
卢昂, 田鹏, 赵广举, 等. 基于混合产流模式的黄土高原流域水沙过程耦合模拟[J]. 水土保持学报, 2023,37(6):57-64. DOI： 10.13870/j.cnki.stbcxb.2023.06.008.

LU Ang, TIAN Peng, ZHAO Guangju, et al. Runoff and Sediment Processes Simulation Based on Mixed Runoff Generation Model in the Loess Plateau Watershed, China[J]. 2023, 37(6): 57-64. DOI： 10.13870/j.cnki.stbcxb.2023.06.008.

摘要

为深入理解黄土高原干旱半干旱地区复杂地貌条件下流域水沙运移规律。基于垂向混合产流机理和运动波方程

构建分布式流域水文模型

耦合流域土壤侵蚀和泥沙输移过程模拟模块

并考虑梯田对水沙过程的影响

建立适用于黄土高原的分布式流域水沙过程模型。选取黄土高原延河支流西川河流域多年实测场次洪水过程的径流泥沙资料

对模型进行率定和验证。径流模拟的纳什效率系数在0.56以上

平均值超过0.70

模拟次洪过程的峰形、峰值、峰现时间与实测过程具有较好的一致性;侵蚀产输沙模拟精度较低

其纳什效率系数均值率定期为0.79

但验证期仅为0.45

模拟结果整体趋势与实测值较一致

但输沙量模拟峰值比实测值偏低。模型可以较精确地模拟黄土高原流域洪水产汇流过程

但输沙量模拟值偏低

一方面由于产汇流模块的误差传递;另一方面

对重力侵蚀考虑不足。因此

未来模型将考虑滑坡、崩塌等重力侵蚀过程

提升模拟精度和效率

为流域水沙过程模拟与流域综合治理提供有效工具。

Abstract

In order to better understand the water and sediment transport characteristics in the arid and semi-arid region of the Loess Plateau under complex geomorphological conditions

a distributed watershed water and sediment process model suitable for the Loess Plateau was constructed based on the vertical mixing production mechanism and kinematic wave equation

coupled with watershed soil erosion and sediment transport modules

and the influence of terraces on water and sediment movement was considered. Measured runoff and sediment data of multiple years of flood events in the Xichuan River basin

a tributary of the Yanhe River in Loess Plateau

were used for calibration and validation of the model. The Nash-Sutcliffe efficiency coefficients of runoff simulation were higher than 0.56

with an average value greater than 0.70. The simulated flood peak shape

peak value

and peak time of the simulated floods were in good agreement with the measured floods. However

the model simulation accuracy of soil erosion and sediment transport was relatively low

with a mean Nash-Sutcliffe efficiency coefficient of 0.79 during the calibration period

but only 0.45 during the verification period. The overall trend of the simulation results was consistent with the measured values

but the peak sediment transport simulation values were lower than the measured values. The model can simulate the flood runoff process in watersheds in the Loess Plateau with relatively high accuracy

however the simulated sediment transport values were lower than the measured values

and this was due to both the error propagation of the production convergence flow module and the insufficient consideration of gravity erosion. Therefore

in the future

the model will consider gravity erosion processes such as landslides and rockfalls to improve simulation accuracy and efficiency

providing an effective tool for simulating watershed water and sediment processes and integrated watershed management.

关键词

Keywords

references

Karlen D L, Rice C W. Soil degradation: Will humankind ever learn?[J].Sustainability,2015,7(9):12490-12501.

胡春宏,张晓明.黄土高原水土流失治理与黄河水沙变化[J].水利水电技术,2020,51(1):1-11.

Zhang S Y, Zhao G J, Mu X M, et al. Changes in streamflow regimes and their responses to different soil and water conservation measures in the Loess Plateau watersheds, China[J].Hydrological Processes,2021,35(10):e14401.

Tian X J, Zhao G J, Mu X M, et al. Decoupling effects of driving factors on sediment yield in the Chinese Loess Plateau[J].International Soil and Water Conservation Research,2023,11(1):60-74.

Zhang X P, Lin P F, Chen H, et al. Understanding land use and cover change impacts on run-off and sediment load at flood events on the Loess Plateau, China[J].Hydrological Processes,2018,32(4):576-589.

赵广举,穆兴民,田鹏,等.黄土高原植被变化与恢复潜力预测[J].水土保持学报,2021,35(1):205-212.

胡春宏,张晓明,赵阳.黄河泥沙百年演变特征与近期波动变化成因解析[J].水科学进展,2020,31(5):725-733.

Bezak N, Mikoš M, Borrelli P, et al. Soil erosion modelling: A bibliometric analysis[J].Environmental Research,2021,197:e111087.

Borrelli P, Alewell C, Alvarez P, et al. Soil erosion modelling: A global review and statistical analysis[J].Science of the Total Environment,2021,780:e146494.

de Vente J, Poesen J, Verstraeten G, et al. Spatially distributed modelling of soil erosion and sediment yield at regional scales in Spain[J].Global and Planetary Change,2008,60(3/4):393-415.

Wang G Q, Fu X D, Shi H Y, et al. Watershed sediment dynamics and modeling: A watershed modeling system for yellow river[M].Advances in Water Resources Engineering,2015:1-40.

姚文艺,高航,王玲玲,等.复杂侵蚀环境下分布式土壤流失水动力学模型:以黄河多沙粗沙区为研究实例[J].长江科学院院报,2009,26(12):17-21.

Cai J Y, Zhou Z H, Liu J J, et al. A three-process-based distributed soil erosion model at catchment scale on the Loess Plateau of China[J].Journal of Hydrology,2019,578:e124005.

Ma H B, Nittrouer J A, Naito K, et al.The exceptional sediment load of fine-grained dispersal systems: Example of the Yellow River, China[J].Science Advances,2017,3(5):e1603114.

中华人民共和国水利部.《黄河流域水文资料》(第4卷第3册)[R].北京:中华人民共和国水利部,2018.

Tian P, Feng J H, Zhao G J, et al. Rainfall, runoff, and suspended sediment dynamics at the flood event scale in a Loess Plateau watershed, China[J].Hydrological Processes,2022,36(2):e14486.

Zhao G J, Gao P, Tian P, et al. Assessing sediment connectivity and soil erosion by water in a representative catchment on the Loess Plateau, China[J].Catena,2020,185:e104284.

Li D Y, Liang Z M, Zhou Y, et al. Multicriteria assessment framework of flood events simulated with vertically mixed runoff model in semiarid catchments in the middle Yellow River[J].Natural Hazards and Earth System Sciences,2019,19(9):2027-2037.

De Roo A P J, Wesseling C G, Van Deursen W P A. Physically based river basin modelling within a GIS: The LISFLOOD model[J].Hydrological Processes,2000,14(11/12):1981-1992.

包为民,侯露,沈丹丹,等.黄土高原大理河流域水沙耦合模型应用研究[J].湖泊科学,2019,31(4):1120-1131.

Eekhout J P C, Terink W, de Vente J. Assessing the large-scale impacts of environmental change using a coupled hydrology and soil erosion model[J].Earth Surface Dynamics,2018,6(3):687-703.

邵辉.渭河流域水土流失变化对梯田措施响应的模拟研究[D].陕西杨凌:西北农林科技大学,2013.

Terink W, Lutz A F, Simons G W H, et al. SPHY v2.0: Spatial processes in hydrology[J].Geoscientific Model Development,2015,8(7):2009-2034.

Neitsch S L, Arnold J G, Kiniry J R, et al. Soil and water assessment tool theoretical documentation version 2009[R].College Station, Texas: Water Resources Institute,2011.

Saltelli A, Bolado R. An alternative way to compute Fourier amplitude sensitivity test (FAST)[J].Computational Statistics and Data Analysis,1998,26(4):445-460.

Duan Q Y, Sorooshian S, Gupta V K. Optimal use of the SCE-UA global optimization method for calibrating watershed models[J].Journal of Hydrology,1994,158(3/4):265-284.

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