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

doi:10.12118/j.issn.1000–6060.2021.01.11

Abstract

Abstract:

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 (E_f) 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.

Key words: SCS-CN model, modified curve number method, soil conservation service curve number, initial abstraction ratio, biochar

ZHOU Xujiao,WANG Qi,ZHANG Dengkui,WANG Xiaoyun,ZHAO Wucheng,ZHAO Xiaole,LEI Jun. 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[J].Arid Land Geography, 2021, 44(1): 99-108.

Figures/Tables 7

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References 31

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AMC	前5 d累积降雨量/mm
AMC	生长期	休闲期
AMCIII	>53.3	>27.9
AMCII	35.6~53.3	12.7~27.9
AMCI	<35.6	<12.7

处理	SCS-CN				MoCN
处理	b	a	r	E_f	b	a	r	E_f
MCS₃₀	-1.24	1.38	0.904	0.42	0.73	0.80	0.962	0.95
MCS₄₅	-1.45	1.36	0.925	0.54	0.75	0.81	0.959	0.95
MCS₆₀	-1.59	1.27	0.929	0.61	0.79	0.81	0.944	0.94
SMB₃₀	-0.59	0.71	0.754	0.24	0.60	0.76	0.905	0.90
SMB₄₅	-0.99	1.33	0.914	0.53	0.91	0.76	0.953	0.93
SMB₆₀	-1.19	1.30	0.924	0.60	0.84	0.79	0.951	0.92
DMB₃₀	-0.36	1.22	0.858	0.42	0.62	0.74	0.896	0.88
DMB₄₅	-0.86	1.33	0.911	0.53	0.80	0.76	0.934	0.91
DMB₆₀	-0.85	1.23	0.917	0.65	0.91	0.74	0.929	0.91

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

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参数	标准SCS-CN模型		MoCN模型
参数	CN	λ	CN_I	CN	CN_III	λ	α	S_I	S	S_III
MCS₃₀	84	0.10	86	94	98	2.94	2.82	42	16	6
MCS₄₅	85	0.10	88	95	98	2.86	2.82	35	13	5
MCS₆₀	85	0.10	90	96	99	2.87	2.82	28	11	4
SMB₃₀	78	0.15	76	89	96	2.99	2.78	79	31	11
SMB₄₅	84	0.10	86	94	98	2.94	2.80	42	16	6
SMB₆₀	84	0.10	86	94	98	2.82	2.81	42	16	6
DMB₃₀	78	0.05	68	84	94	2.78	2.78	117	48	18
DMB₄₅	83	0.10	80	91	97	2.89	2.79	64	25	9
DMB₆₀	83	0.10	82	92	97	2.80	2.80	57	22	8

[1]	WANG Jin-jie, DING Jian-li, ZHANG Zhe, CHEN Wen-qian. Simulation of runoff of arid area with rainfall and snowmelt based on GF-1 satellite: a case of Bortala River [J]. , 2016, 39(6): 1238-1246.
[2]	WANG Jin-jie, DING Jian-li, ZHANG Zhe, CHEN Wen-qian. Simulation of runoff of arid area with rainfall and snowmelt based on GF-1 satellite: a case of Bortala River [J]. , 2016, 39(6): 1238-1246.