农业工程学报
農業工程學報
농업공정학보
2014年
7期
72-81
,共10页
径流%优化%降雨%坡度%SCS-CN模型%修正%径流曲线数%初损系数
徑流%優化%降雨%坡度%SCS-CN模型%脩正%徑流麯線數%初損繫數
경류%우화%강우%파도%SCS-CN모형%수정%경류곡선수%초손계수
runoff%optimization%precipitation%slope gradient%soil conservation service-curve number (SCS-CN) model%validation%curve number%initial abstraction ratio
地表径流是引起坡面土壤侵蚀的主要动力,对降雨径流进行有效的预测,是紫色土坡地水土保持的基础。SCS-CN模型中的径流曲线数CN和初损系数λ作为主要输入参数对径流模拟精度有重要影响,但在应用于紫色土坡耕地模拟时,却很少进行坡度的调整,而坡度是影响降雨产流的重要因子。该文利用紫色土不同坡度的径流小区,选取2013年的5场降雨产流的实测数据,旨在分析紫色土坡耕地降雨产流量与地表坡度的关系,对现有的基于坡度修正的SCS-CN模型进行适用性评价,并在考虑降雨量影响的基础上对初损系数进行修正。结果表明,次降雨下径流量随坡度的增大而增大,并出现径流影响的临界坡度;经坡度修正后的模型在小降雨事件下的模拟精度较好,但强降雨条件下预测值比实测值均偏大,初损系数λ=0.2适用于紫色土坡地小降雨产流模拟,在强降雨条件下,λ值越大,模型模拟效果越好,当λ=0.3时,修正的模型在紫色土坡地径流模拟效果最理想,此时,模拟值与实测值的平均相对误差为7.42%,模型效率系数达到0.99。而基于坡度调整后的CN值对应坡度6.5°~25°依次为78.23、78.45、78.77、79.11、79.47。该研究结果可为紫色土丘陵区降雨径流预测及水土保持提供参考。
地錶徑流是引起坡麵土壤侵蝕的主要動力,對降雨徑流進行有效的預測,是紫色土坡地水土保持的基礎。SCS-CN模型中的徑流麯線數CN和初損繫數λ作為主要輸入參數對徑流模擬精度有重要影響,但在應用于紫色土坡耕地模擬時,卻很少進行坡度的調整,而坡度是影響降雨產流的重要因子。該文利用紫色土不同坡度的徑流小區,選取2013年的5場降雨產流的實測數據,旨在分析紫色土坡耕地降雨產流量與地錶坡度的關繫,對現有的基于坡度脩正的SCS-CN模型進行適用性評價,併在攷慮降雨量影響的基礎上對初損繫數進行脩正。結果錶明,次降雨下徑流量隨坡度的增大而增大,併齣現徑流影響的臨界坡度;經坡度脩正後的模型在小降雨事件下的模擬精度較好,但彊降雨條件下預測值比實測值均偏大,初損繫數λ=0.2適用于紫色土坡地小降雨產流模擬,在彊降雨條件下,λ值越大,模型模擬效果越好,噹λ=0.3時,脩正的模型在紫色土坡地徑流模擬效果最理想,此時,模擬值與實測值的平均相對誤差為7.42%,模型效率繫數達到0.99。而基于坡度調整後的CN值對應坡度6.5°~25°依次為78.23、78.45、78.77、79.11、79.47。該研究結果可為紫色土丘陵區降雨徑流預測及水土保持提供參攷。
지표경류시인기파면토양침식적주요동력,대강우경류진행유효적예측,시자색토파지수토보지적기출。SCS-CN모형중적경류곡선수CN화초손계수λ작위주요수입삼수대경류모의정도유중요영향,단재응용우자색토파경지모의시,각흔소진행파도적조정,이파도시영향강우산류적중요인자。해문이용자색토불동파도적경류소구,선취2013년적5장강우산류적실측수거,지재분석자색토파경지강우산류량여지표파도적관계,대현유적기우파도수정적SCS-CN모형진행괄용성평개,병재고필강우량영향적기출상대초손계수진행수정。결과표명,차강우하경류량수파도적증대이증대,병출현경류영향적림계파도;경파도수정후적모형재소강우사건하적모의정도교호,단강강우조건하예측치비실측치균편대,초손계수λ=0.2괄용우자색토파지소강우산류모의,재강강우조건하,λ치월대,모형모의효과월호,당λ=0.3시,수정적모형재자색토파지경류모의효과최이상,차시,모의치여실측치적평균상대오차위7.42%,모형효솔계수체도0.99。이기우파도조정후적CN치대응파도6.5°~25°의차위78.23、78.45、78.77、79.11、79.47。해연구결과가위자색토구릉구강우경류예측급수토보지제공삼고。
Overland runoff is a main factor causing soil erosion ion hillslope, and runoff modeling is an effective way to predict soil erosion for conservation of the hillslope cropland of purple soil. The model of Soil Conservation Service-curve number (SCS-CN) is widely used for predicting direct runoff discharge based on measured rainfall, and also used as a runoff-estimating component of more complex watershed models. As a basic input parameter in the SCS-CN model, the curve number greatly affects the predictive value of runoff depth, and the initial abstraction ratio (λ) that was assumed to be o 0.2 in the original development of SCS-CN model. When applied in the hillslope areas, few attempts have been made to incorporate a slope gradient factor into the CN method although slope gradient exerts great influence on discharge of overland runoff according to relevant studies. In addition, the initial abstraction ratio is considered to be a constant in many applications, although lots of studies revealed that variations of the ratio exist in different conditions. In this study, the relationship between runoff and slope gradient was revealed by analyzing observed data of 5 rainfall-runoff events in 2013 from experimental plots with slopes varying from 6.5° to 25°. The existing approaches integrating slope gradient factor in the SCS-CN model were directly evaluated for simulating the rainfall-induced runoff in the hillslope cropland of purple soil. Meanwhile, the initial abstraction ratio was optimized considering the influence of rainfall volume. The Nash-Sutcliffe efficiency (E) and relative error (RE) were used in the simulation results evaluation. The results indicated that the observed discharge of runoff increased obviously with the increase of slope gradient in a rainfall event, and the runoff discharge achieved maximum at a critical slope. For our experimental conditions, the slope-modified SCS-CN method proposed by Williams overestimated the runoff depths with Nash-Sutcliffe efficiency (E) of 0.76. The initial abstraction ratio (λ) of 0.2 was applicable to estimate small rainfall-runoff events based on the equation proposed by Huang. For the large rainfall-runoff events, the slope-adjusted CN method put forward by Huang performed better with increasing initial abstraction ratio (λ). It appeared to be appropriate for overland runoff prediction in hillslope cropland of purple soil when the value ofλwas equal to 0.3 in the case of large rainfall-runoff events, according to the values of Nash-Sutcliffe efficiency (E=0.99) and mean relative error (RE=7.42%). Runoff discharge observed and estimated by the modified model achieved relatively good agreement in each rainfall-runoff event with mean relative error of 7.58%, 7.93%, 8.92%, 5.98%, and 7.13%, respectively. The results also revealed that the validated curve numbers calculated from the equation developed by Huang were 78.23, 78.45, 78.77, 79.11, and 79.47 for each slope gradient from 6.5°to 25°, respectively. This study provides valuable information for rainfall-runoff estimation and soil and water conservation in the hilly area of purple soil.