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Soil erosion modeling of watershed using cubic, quadratic and quintic splines

Meshram Department for Management of Science and Technology Development, Ton Duc Thang University, Ho Chi Minh City, Viet Nam|
Chandrashekhar (37023283600) Department of Post Graduate Studies and Research in Mathematics, Jaywanti Haksar Govt. Post-Graduation College, College of Chhindwara University, Betul, Madhya Pradesh, India| Ozgur (6507051085); Meshram Department of Civil Engineering, School of Technology, Ilia State University, Tbilisi, Georgia| Vijay P. (57211219633); Kisi Zachry Department of Civil Engineering, Texas A & M University, College Station, 77843-2117, TX, United States| Sarita Gajbhiye (57190754999); Singh Department of Biological and Agricultural Engineering, Texas A & M University, College Station, 77843-2117, TX, United States|

Natural Hazards Số 3, năm 2021 (Tập 108, trang 2701-2719)

ISSN: 0921030X

ISSN: 0921030X

DOI: 10.1007/s11069-021-04796-5

Tài liệu thuộc danh mục:

Article

English

Từ khóa: India; Narmada Basin; interpolation; modeling; sediment yield; soil erosion; spatial variation; temporal variation; watershed
Tóm tắt tiếng anh
Soil erosion is widespread with spatio-temporal variability and is central to the determination of sediment yield, which is vital to proper management of watersheds. We propose a relation between the Curve Number (SCS 1956) and the Sediment Yield Index (SYI) using cubic, quadratic and quintic splines in this research. Using Mohgaon watershed (part of Narmada Basin) data, the relation between observed and computed SYI is found to have a coefficient of determination (R2) value of 0.87, 0.40 and 0.10 corresponding cubic, quadratic and quintic splines suggesting that such a relation can be used to determine SYI from the available CN value. The cubic spline was found to be the best method with respect to Absolute Prediction Error (APE), Integral Square Error (ISE), Coefficient of Efficiency (CE), Coefficient of Correlation (CC) and degree of agreement (d) (i.e., APE = 1.35, ISE = 3.09, CE = 62.08, CC = 79.60 and d = 0.99). The quintic spline (with an average value of APE = 19.59, ISE = 7.84, CE = − 165.73, CC = 19.30 and d = 0.26) and the quadratic spline (with an average value of APE = 20.99, ISE = 8.92, CE = − 199.90, CC = 8.95 and d = 0.15) ranked as the 2nd and the 3rd best methods, respectively. © 2021, The Author(s), under exclusive licence to Springer Nature B.V.

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