查詢結果分析
來源資料
頁籤選單縮合
題名 | 水蝕推估模式應用於坡地之敏感度分析=Sensitivity Analysis of the WEPP Model for Slopeland Application |
---|---|
作者 | 林俐玲; 林文英; Lin, Li-ling; Lin, Wen-ying; |
期刊 | 水土保持學報 |
出版日期 | 19970300 |
卷期 | 29:1 1997.03[民86.03] |
頁次 | 頁61-68 |
分類號 | 434.278 |
語文 | chi |
關鍵詞 | 水蝕推估模式; 敏感度分析; 土壤沖蝕; WEPP; Sensitivity analysis; Soil erosion; |
中文摘要 | 敏感度分析為評估模式之不確定性與參數估算誤差間之一常用技術。水蝕推估模 式 (WEPP) 之參數經敏感度分析之結果顯示,降雨量對土壤流失量為非線性之顯著敏感;另 外以複迴歸方法找出模式中影響土壤沖蝕較大之因子,結果顯示降雨量之影響最大,其次為 坡長, 再其次為飽和度, 其複迴歸方程式為: Y=-2138.6357+772.5253x �� -23702.5615x �� -282.2125x �� R �� =0.98597 式中 Y:土 壤沖蝕量 (kg/m)x �窗G坡長 (m)x �砥G降雨量 (mm) �� x:飽和度 (% ) |
英文摘要 | Sensitivity analysis is a common technique used to assess model uncert- ainty in relation to errors in parameter estimation. The sensitivity of the WEPP model input parameters was analyzed. The results showed that erosion predictions are very sensitive to attributes that define a storm event (amount, duration and intensity ) and to the canopy cover percentage. A multiple regression analysis was also used to evaluate the sensitivity of the model response. The results indicated that precipitation has its greatest effect on soil erosion. Other factors that showed a strong correlation with erosion were slope length and initial saturation degree of soil water. The multiple regression equation is as follows:Y=-2138.6357+772.5253x �� -23702.5615x �� -282.2125x �� R �� =0.98597 where Y:soil erosion amount (kg/m) x ��:slope length (m) x ��:precipitation(mm) x ��:initial saturation (%) |
本系統之摘要資訊系依該期刊論文摘要之資訊為主。