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基于VFSMOD模型的黄土坡面生草带产流产沙动态模拟
引用本文:潘岱立,赵西宁,高晓东,宋亚倩,吴普特.基于VFSMOD模型的黄土坡面生草带产流产沙动态模拟[J].农业工程学报,2017,33(8):119-125.
作者姓名:潘岱立  赵西宁  高晓东  宋亚倩  吴普特
作者单位:1. 西北农林科技大学水土保持研究所,杨凌,712100;2. 西北农林科技大学水利与建筑工程学院,杨凌,712100
基金项目:国家自然科学基金(41571506、51579212);国家重点研发计划(2016YFC0400204);陕西省科技统筹创新工程项目(2015KTCL02-25、2016KTZDNY-01-03)
摘    要:利用微型径流小区和人工降雨试验,探讨运用VFSMOD模型评估和预测引入不同草种生草带后黄土坡面产流产沙动态特征的可行性。通过土壤物理性质参数和生草带生长状态参数的差异,模型还原了黄土坡面引入白三叶生草带与百脉根生草带后产流产沙特征的差异及其随生长时期的变化,模拟效果可靠,纳什系数:0.93(径流系数),0.98(修正后产沙量);归一化均方根误差:6.2%(径流系数),10.9%(修正后产沙量)。当生草带在降雨集中期(如本研究中百脉根草带9月上旬)不能保证较好的生长状态和地表覆盖时,其坡面产沙量急剧增大,且明显大于VFSMOD模型模拟值。在实际生草带设计时,应避免该情况发生。综上,VFSMOD模型适用于引入生草带后黄土坡面产流、产沙量的模拟和预测。

关 键 词:径流  泥沙    VFSMOD模型  黄土坡面  生草带  生长时期
收稿时间:2016/7/16 0:00:00
修稿时间:2017/3/28 0:00:00

VFSMOD-based runoff and sediment yield simulation on loess slope with vegetation filter strips
Pan Daili,Zhao Xining,Gao Xiaodong,Song Yaqian and Wu Pute.VFSMOD-based runoff and sediment yield simulation on loess slope with vegetation filter strips[J].Transactions of the Chinese Society of Agricultural Engineering,2017,33(8):119-125.
Authors:Pan Daili  Zhao Xining  Gao Xiaodong  Song Yaqian and Wu Pute
Institution:1. Institute of Soil and Water Conservation, Northwest A & F University, Yangling 712100, China;,1. Institute of Soil and Water Conservation, Northwest A & F University, Yangling 712100, China;,1. Institute of Soil and Water Conservation, Northwest A & F University, Yangling 712100, China;,2.College of Water Resources and Architectural Engineering, Northwest A & F University, Yangling 712100, China; and 1. Institute of Soil and Water Conservation, Northwest A & F University, Yangling 712100, China;
Abstract:Abstract: The vegetation filter strip is an effective land management practice to reduce the runoff and sediment yield in the sloping orchards in Loess Plateau, China. In the present paper, the feasibility of using vegetative filter strip model (VFSMOD) as a tool to predict the runoff coefficient and sediment yield of vegetative filter strip was evaluated. The experiment was carried out in Yangling, Shannxi. The loess soil was silt loam with bulk density of 1.35-1.40 g/cm3. Two kinds of plots included jujube-grass plots (each was 1.4 m in length, 0.8 m in width and 0.8 m in height) and jujube plots (each was 0.8 m in length, width and height). In 2011, a jujube (Ziziphus jujube Mill.) tree was planted in the center at 0.8 m away from the upper boundary of the plots and grass was planted at the seeding rate of 15 g/m2 in the center at 0.6 m away from the lower boundary of the plots. Grass species were white clover (Triolium repens L.) and birdfoot trefoil (Lotus corniculatus L.) conjoined to source areas. Each type of vegetative filter strip treatments had 3 replications. Simulated rainfalls were applied in 3 development periods (early, middle and late period) of the grass. In each period, 3 rainfall events with different intensities (1.0, 1.2 and 1.5 mm/min) and identical rainfall duration of 60 minutes were designed. The initial soil water content was 0.26-0.29 for all the rainfalls. Grass was cut to 10 cm in height before rainfall. Runoff from each plot was collected for runoff coefficient (the ratio of runoff to rainfall) calculation and sediment yield measurement. Meanwhile, the VFSMOD model was used to simulate the runoff coefficient and sediment yield. The results showed that the bias of runoff coefficient simulation was between -10% and 10%. The Nash coefficient (NE) was higher than 0.9 and the normalized root mean square (NRMSE) was 6.2%. It indicated that the simulation was reliable for runoff. For the sediment yield, the model had the NRMSE of 41.5%. The bias analysis showed that the large error occurred to the birdfoot trefoil at the rainfall intensity of 1.2 and 1.5 mm/min. The VFSMOD model underestimated the sediment yield of birdfoot trefoil filter strip in late September by 28.8% at 1.2 mm/min rainfall intensity and 40.6% at 1.5 mm/min rainfall intensity. The large bias might be attributed to the poor growth status of birdfoot trefoil vegetation filter strip in late September (the stem spacing of 3.07 cm) and poor coverage on the ground. Soil erosion occurred inside the vegetation filter strip in this condition, which was contradicted with the assumption of VFSMOD on soil erosion inside the vegetation filter strip. In the practice, the poor growth status at the storm season should be avoided since it would lead to great sediment yield. Removing these values of birdfoot trefoil, the model had a better simulation with NRMSE of 10.9% and NE of 0.98. Thus, the VFSMOD could well simulate the runoff and sediment yield of soil in the white clover filter strips and the filter strips of birdfoot trefoil at the early and middle development periods. The simulated results showed that the runoff coefficient increased during the development periods of the 2 grass species. The runoff coefficient was 9.2%-29.6%. The runoff coefficient increased with increasing the rainfall intensity, indicating the large rainfall may lead to big runoff. At the same rainfall intensity and development period, the white clover had the lower runoff coefficient (P<0.05) than the birdfoot trefoil. It suggested that the former grass had the better runoff reduction effect after rainfall. The sediment yield of the 2 species was different. At the early period, both were similar in sediment yield. At the late period, the sediment yield of birdfoot trefoil was significantly higher than the white clover (P<0.05). Since the plot with the white clover filter strip had the small runoff and sediment yield in September when rainfall occurs frequently in the loess plateau. Thus, it rather than the birdfoot trefoil was probably suitable to use for filter strip in the loess plateau especially in September.
Keywords:runoff  sediments  grass  VFSMOD model  loess slope  vegetation filter strips  growth stage
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