基于SCS-CN模型的半干旱黄土高原区秸秆炭覆盖集雨垄径流预测
收稿日期: 2019-11-27
修回日期: 2020-05-11
网络出版日期: 2021-03-09
基金资助
国家自然科学基金项目(41661059);国家自然科学基金项目(41461062)
Runoff estimation of ridge-furrow rainwater harvesting with maize straw biochar application based on soil conservation service curve number (SCS-CN) model in semiarid regions of China
Received date: 2019-11-27
Revised date: 2020-05-11
Online published: 2021-03-09
垄沟集雨种植是缓解我国半干旱黄土高原区干旱、水土流失和土壤侵蚀的主要雨养农业技术。小流域水文模拟通常采用径流曲线数（Soil conservation service curve number,SCS-CN）模型。在标准SCS-CN模型中,由于径流曲线数CN值取值未考虑土壤水分动态变化,导致径流预测产生不合理的突变。以甘肃省定西市垄沟微型生物炭集雨垄为研究对象,根据实测降雨-径流数据,采用修正曲线数（Modified curve number,MoCN）法改进标准SCS-CN模型。结果表明：（1） 随集雨垄垄宽增加（垄坡减小）,标准SCS-CN模型和MoCN模型的CN值增加,随生物炭覆盖量增加,标准SCS-CN模型和MoCN模型的CN值减小;（2） MoCN模型的CN值高于标准SCS-CN模型;（3） MoCN模型的纳什效率系数（Nash-sutcliffe coefficient）较标准SCS-CN模型提高40%~275%,相关系数（Correlation coefficient）较标准SCS-CN模型提高1%~20%。修正曲线数MoCN模型能有效提高模型模拟精度,可为我国半干旱黄土高原区垄沟集雨种植系统地表径流预测及水土保持提供参考。
周旭姣,王琦,张登奎,王小赟,赵武成,赵晓乐,雷俊 . 基于SCS-CN模型的半干旱黄土高原区秸秆炭覆盖集雨垄径流预测[J]. 干旱区地理, 2021 , 44(1) : 99 -108 . DOI: 10.12118/j.issn.1000–6060.2021.01.11
Ridge-furrow rainwater harvesting (RFRH) planting is the main rain-fed agricultural technology to address drought, water loss, and soil erosion in the Loess Plateau of central Gansu Province, China. Selecting suitable runoff estimation can effectively improve the utilization of water resources in this region. This paper analyzes the feasibility of the soil conservation service curve number (SCS-CN) model by considering the ridges with maize straw biochar application as the research object in the RFRH system. The runoff curve number (CN), as a basic input parameter of the SCS-CN model, is significantly affected by the antecedent moisture condition (AMC). The CN values, as categorical variables of three AMCs, do not consider the dynamic process of soil moisture between drought and wetness resulting in unreasonable sudden jumps in runoff estimation for the original development of the SCS-CN model. Thus, the modified curve number (MoCN) method proposed by Wang has been made to correct CN value based on continuous function between CN and AMC. The results showed that: (1) The CN values for the MoCN model is higher than the CN values for the SCS-CN model because the AMC value of the MoCN model is different from the SCS-CN model. (2) The runoff discharge measured and estimated by the MoCN model achieved relatively better agreement. Compared with the standard SCS-CN model, the Nash-Sutcliffe coefficient (Ef) of the MoCN model increased from 40% to 275%, and the correlation coefficient (r) of the MoCN model increased from 1% to 20%. Thus, the runoff estimation by the MoCN model is more reasonable and feasible in the RFRH system. This study provides a reference for an efficient utilization of water resources and soil and water conservation in this region.
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