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应用生态学报 ›› 2021, Vol. 32 ›› Issue (12): 4186-4194.doi: 10.13287/j.1001-9332.202112.005

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黄土高原生物结皮对SCS-CN模型初损率的影响

谷康民1,2, 赵允格2*, 高丽倩2, 杨凯1,2, 孙会2,3, 郭雅丽1,2   

  1. 1西北农林科技大学资源环境学院, 陕西杨凌 712100;
    2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;
    3西北农林科技大学林学院, 陕西杨凌 712100
  • 收稿日期:2021-04-06 修回日期:2021-07-23 出版日期:2021-12-15 发布日期:2022-06-15
  • 通讯作者: *E-mail: zyunge@ms.iswc.ac.cn
  • 作者简介:谷康民, 男, 1993年生, 硕士研究生。主要从事生物结皮坡面水文效应和坡面径流模型模拟研究。E-mail: 18335464187@163.com
  • 基金资助:
    国家自然科学基金重点项目(41830758,41571268)资助

Effects of biological soil crusts on the initial abstraction ratio of SCS-CN model in the Loess Plateau

GU Kang-min1,2, ZHAO Yun-ge2*, GAO Li-qian2, YANG Kai1,2, SUN Hui2,3, GUO Ya-li1,2   

  1. 1College of Resources and Environment, Northwest A&F University, Yangling 712100, Shaanxi, China;
    2State Key Laboratory of Soil Erosion and Dryland Farming on the Loess Plateau, Institute of Soil and Water Conservation, Northwest A&F University, Yangling 712100, Shaanxi, China;
    3College of Forestry, Northwest A&F University, Yangling 712100, Shaanxi, China
  • Received:2021-04-06 Revised:2021-07-23 Online:2021-12-15 Published:2022-06-15
  • Contact: *E-mail: zyunge@ms.iswc.ac.cn
  • Supported by:
    Key Project of the National Natural Science Foundation of China (41830758, 41571268)

摘要: 水文模型是水文过程研究的有效工具,初损率(λ)是径流模型SCS-CN模型的参数,对模拟流域水文过程具有重要意义。为了确定生物结皮对λ的影响,提高该模型在黄土高原生物结皮广泛分布的退耕地的预测精度,本研究以陕西省定边县鹰窝山涧流域不同盖度的生物结皮坡面为对象,采用模拟降雨试验,分析土壤潜在最大入渗量(S)与实际入渗量(F)的关系,以及生物结皮盖度对λ的影响,并修订了λ;在此基础上,采用陕西省安塞县纸坊沟流域生物结皮径流小区的模拟降雨试验数据校验了参数修订后的模型。结果表明: 生物结皮坡面SF的关系式为: S/F=2.5×60/T(其中T为降雨历时);模型参数λ与生物结皮盖度(CBSC)呈极显著负相关关系,二者关系式为: λ=0.0791×e(-0.015×CBSC),R2=0.60;较λ取标准值,依生物结皮盖度修订λ后,SCS-CN模型Nash效率系数提高338.7%,合格率提升16.1%。研究结果为黄土高原生物结皮坡面λ的确定提供了科学依据,对准确评估黄土高原退耕还林(草)工程的水文效应具有重要意义。

关键词: 生物结皮, 盖度, SCS-CN模型, 初损率, 径流模型

Abstract: Hydrological model is an effective tool for hydrological research. The initial abstraction ratio (λ) is a key parameter of SCS-CN model, a commonly used runoff model of great significance to simulate the hydrological process at the watershed scale. In order to examine the effects of biological soil crusts (biocrusts) on λ and improve the accuracy of the model used in the restored grasslands where biocrusts widely presented in the Loess Plateau region, we firstly determined the relationship between the amount of the potential maximum infiltration (S) and the amount of the actual infiltration (F), and then investigated the effects of biocrust coverage on λ by using the simulated rainfall experiment in the Yingwoshanjian watershed in Dingbian County, Shaanxi Province. The revised model was verified by the runoff results of the simulated rainfall experiments in the Zhifanggou watershed in Ansai County, Shaanxi Province. The results showed that the relationship between S and F on biocrust slope was described as S/F=2.5×60/T (where T was the rainfall duration). There was a negative correlation between λ and biocrust coverage (CBSC) described as λ=0.0791×e(-0.015×CBSC), R2=0.60. Compared with that using the standard value of λ, the efficiency coefficient of the model was increased by 338.7% and the qualified rate was increased by 16.1% after revising λ according to the biocrust coverage. The results provided a scientific basis for the calibration of λ on biocrust slopes in the Loess Plateau region, and were of great significance to accurately assess the hydrological effects of the implementation of the “Grain for Green” Program on the Loess Plateau.

Key words: biological soil crust, coverage, SCS-CN model, initial abstraction ratio, runoff model