地理科学进展
地理科學進展
지이과학진전
PROGRESS IN GEOGRAPHY
2010年
4期
495-500
,共6页
崔普伟%蔡强国%方海燕%聂斌斌%陈小安
崔普偉%蔡彊國%方海燕%聶斌斌%陳小安
최보위%채강국%방해연%섭빈빈%진소안
单元流域%次暴雨%模型%黄土高原丘陵沟壑区
單元流域%次暴雨%模型%黃土高原丘陵溝壑區
단원류역%차폭우%모형%황토고원구릉구학구
unit catchment%single rainstorm%model%the hilly loess area of the Loess Plateau
黄土高原尤其是黄土丘陵沟壑区土壤侵蚀异常严重,在该区开展单元流域产沙模拟对于流域侵蚀产沙及沟道系统泥沙输移比研究有着重要的意义.本文选取陕北岔巴沟单元流域团山沟为研究对象.利用1961-1969年间水文泥沙资料,构建了流域产沙模型:以流域输沙关系表达式Ms=CsH为理论框架,经分析发现洪峰流量、最大含沙量、平均流量与次洪含沙量相关性显著,近而以洪峰流量、平均流量、最大含沙量及径流深为模型变量.通过模拟误差分析,构建并选取了以径流深和洪峰流量、径流深和最大含沙量为变量的经验模型:Ms=H(109.21n(Q_z)+546.1);Ms=H(C_z-141.2).与目前已有模型相比,以上模型具有很好的模拟效果,尤其是在模拟小产沙事件时模拟效果较好,模型在临近流域水旺沟上的应用效果也较好.另据研究发现,高含沙水流的存在,使得在不同产沙模数水平下产沙模拟响应机制不同,对产沙模数小于300t/km~2次暴雨事件.流量的对数函数拟合效果明显优于幂函数拟合;对产沙模数大于1000t/km~2次暴雨事件,流量的幂函数拟合效果好于对数函数拟合,但差异不大.
黃土高原尤其是黃土丘陵溝壑區土壤侵蝕異常嚴重,在該區開展單元流域產沙模擬對于流域侵蝕產沙及溝道繫統泥沙輸移比研究有著重要的意義.本文選取陝北岔巴溝單元流域糰山溝為研究對象.利用1961-1969年間水文泥沙資料,構建瞭流域產沙模型:以流域輸沙關繫錶達式Ms=CsH為理論框架,經分析髮現洪峰流量、最大含沙量、平均流量與次洪含沙量相關性顯著,近而以洪峰流量、平均流量、最大含沙量及徑流深為模型變量.通過模擬誤差分析,構建併選取瞭以徑流深和洪峰流量、徑流深和最大含沙量為變量的經驗模型:Ms=H(109.21n(Q_z)+546.1);Ms=H(C_z-141.2).與目前已有模型相比,以上模型具有很好的模擬效果,尤其是在模擬小產沙事件時模擬效果較好,模型在臨近流域水旺溝上的應用效果也較好.另據研究髮現,高含沙水流的存在,使得在不同產沙模數水平下產沙模擬響應機製不同,對產沙模數小于300t/km~2次暴雨事件.流量的對數函數擬閤效果明顯優于冪函數擬閤;對產沙模數大于1000t/km~2次暴雨事件,流量的冪函數擬閤效果好于對數函數擬閤,但差異不大.
황토고원우기시황토구릉구학구토양침식이상엄중,재해구개전단원류역산사모의대우류역침식산사급구도계통니사수이비연구유착중요적의의.본문선취협북차파구단원류역단산구위연구대상.이용1961-1969년간수문니사자료,구건료류역산사모형:이류역수사관계표체식Ms=CsH위이론광가,경분석발현홍봉류량、최대함사량、평균류량여차홍함사량상관성현저,근이이홍봉류량、평균류량、최대함사량급경류심위모형변량.통과모의오차분석,구건병선취료이경류심화홍봉류량、경류심화최대함사량위변량적경험모형:Ms=H(109.21n(Q_z)+546.1);Ms=H(C_z-141.2).여목전이유모형상비,이상모형구유흔호적모의효과,우기시재모의소산사사건시모의효과교호,모형재림근류역수왕구상적응용효과야교호.령거연구발현,고함사수류적존재,사득재불동산사모수수평하산사모의향응궤제불동,대산사모수소우300t/km~2차폭우사건.류량적대수함수의합효과명현우우멱함수의합;대산사모수대우1000t/km~2차폭우사건,류량적멱함수의합효과호우대수함수의합,단차이불대.
The soil loss on the Loess Plateau, especially in hilly loess areas, is among the severest in the world, and it would be of great meaning to study soil erosion and sediment transport as well as sediment delivery ratio in the gully/channel system in the highly erodible region. Though many models have been constructed in the hilly loess region on the Loess Plateau, the models predicted well only for the large runoff-sediment events. On the other hand, although the physical models usually perform better for small events, the data required for the models are so rigorous that it is not easy to apply them for most of the catchments. In our present study, Tuanshangou catchment,a unit-catchment in the hilly loess region on the Loess Plateau, was selected. Using 95 runoffsediment events during the period 1961-1969 and by analyzing peak discharge (Q_z), the maximum sediment concentraion (C_z), mean discharge of single storm (Q_p) and runoff depth (H), five models were constructed given the fact that suspended sediment yield is the function of suspended sediment concentration (C_s) and runoff depth (M_s=C_sH). Then, through analyzing the predicted errors of the models, two models of M_s=H (109.2ln (Q_z)+546.1) and M_s=H (C_z-141.2) had better modeling precision with mean errors less than 19% and 12%, respectively. Both models presented good modeling precision for the events larger than 30 t/km~2, and presented good modeling application for the Shuiwanggou catchment (a neighbored catchment by Tuanshangou catchment).Compared to the previous models, the two models had better modeling results, especially for the small events in the study area. Deep analysis found that, influenced by different flow mechanisms,for the events less than 300 t/km~2, the results modeled by logarithmic function was better than that by exponential model. However, the results modeled by exponential modeling was better than that by logarithmic modeling for the events larger than 1000 t/km~2. The structures of the two models built in this paper are simple, only composing of two variables H and Q_z and H and C_z,respectively. In addition, the model can be applied according to the data acquirement when studying sediment yield in the hilly loess region on the Loess Plateau. The simplicity and easy application of the constructed models would be of assistance in predicting sediment yield (especially for small events) and in constructing soil and water conservation measures in Yellow River basin in the future.