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Simplified sediment yield index incorporating parameter stream length

Meshram Department for Management of Science and Technology Development, Ton Duc Thang University, Ho Chi Minh City, Viet Nam|
Saiful (57209548983) | Mohd Abul (57213274853); Islam Civil Engineering Department, College of Engineering, King Khalid University, Abha, Saudi Arabia| Chandrashekhar (37023283600); Hasan Department of Mathematics, Jaywanti Haksar Government P. G. College, College of Chhindwara University, Betul, Madhaya Pradesh, India| Vijay P. (57211219633); Meshram Zachry Department of Civil Engineering, Texas A and M University, College Station, 77843-2117, TX, United States| Sarita Gajbhiye (57190754999); Singh Department of Biological and Agricultural Engineering, Texas A and M University, College Station, 77843-2117, TX, United States|

Environmental Earth Sciences Số 18, năm 2021 (Tập 80, trang -)

ISSN: 18666280

ISSN: 18666280

DOI: 10.1007/s12665-021-09919-6

Tài liệu thuộc danh mục:

Article

English

Từ khóa: India; Madhya Pradesh; Efficiency; Land use; Regression analysis; Sediments; Soil conservation; Soils; Surveys; Conservation measures; Curve numbers; Model development; Regression model; Runoff process; Sediment yields; Soil erosion; Watershed streams; algorithm; assessment method; detection method; index method; parameter estimation; sediment yield; soil conservation; soil erosion; watershed; Watersheds
Tóm tắt tiếng anh
Sediment-Runoff process is highly variable and nonlinear in nature. In the present study an attempt has been made to develop a relationship between watershed stream length and Sediment Yield Index (SYI) and test it on Narmada watersheds, Madhya Pradesh, India. Area (A), Curve Number (CN) and stream length (SL) were utilized as input for model development. The three models (A model, CN model and simplified All India Soil and Land Use Survey (AISLUS) model including parameter SL) performed differently, with the coefficient of R2 equal to 0.01, 0.02 and 0.71 (Shakkar watershed), 0.11, 0.23 and 0.91 (Bamhani watershed), 0.06, 0.001 and 0.80 (Manot watershed) and 0.40, 0.05 and 0.66 (Mohgaon watershed), respectively. The logarithmic simplified AISLUS model incorporating parameter SL resulted with the coefficient of R2 as 0.76 (Shakkar watershed), 0.93 (Bamhani watershed), 0.84 (Manot watershed) and 0.66 (Mohgaon watershed). Therefore, the logarithm simplified AISLUS model was chosen as the best regression model for this study. It is observed that the simplified AISLUS model (logarithm form) incorporating parameter SL had a satisfactory efficiency as 76.35% (Shakkar watershed), 66.05% (Mohgaon watershed), 93.36% (Bamhani watershed), and 83.83% (Manot watershed) by Nash efficiency scale. The resulting higher Nash efficiency values support the versatility of the derived relationship and invoke assessment of SYI from the watershed stream length value. The prediction of SYI is important when adopting a suitable soil conservation measure in the watershed for minimizing soil erosion. � 2021, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

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