Soil Erosion and Sediment Yield Modelling in the Pra River Basin of Ghana using the Revised Universal Soil Loss Equation (RUSLE)

Summary

Soil Erosion and Sediment Yield Modelling in the Pra River Basin of Ghana using the Revised Universal Soil Loss Equation (RUSLE) is a scholarly article^[1]. Soil Erosion and Sediment Yield Modelling in the Pra River Basin of Ghana using the Revised Universal Soil Loss Equation (RUSLE) draws 23 Wikipedia views per month (scholarly_article category, ranking #17 of 21).^[2]

Key Facts

• Soil Erosion and Sediment Yield Modelling in the Pra River Basin of Ghana using the Revised Universal Soil Loss Equation (RUSLE)'s instance of is recorded as scholarly article^[3].
• Soil Erosion and Sediment Yield Modelling in the Pra River Basin of Ghana using the Revised Universal Soil Loss Equation (RUSLE)'s publication date is recorded as +2016-01-01T00:00:00Z^[4].
• Soil Erosion and Sediment Yield Modelling in the Pra River Basin of Ghana using the Revised Universal Soil Loss Equation (RUSLE)'s Freebase ID is recorded as /m/03h529q^[5].
• Soil Erosion and Sediment Yield Modelling in the Pra River Basin of Ghana using the Revised Universal Soil Loss Equation (RUSLE)'s main subject is recorded as geographic information system^[6].
• Soil Erosion and Sediment Yield Modelling in the Pra River Basin of Ghana using the Revised Universal Soil Loss Equation (RUSLE)'s main subject is recorded as Pra River^[7].
• Soil Erosion and Sediment Yield Modelling in the Pra River Basin of Ghana using the Revised Universal Soil Loss Equation (RUSLE)'s main subject is recorded as Q3415798^[8].
• Soil Erosion and Sediment Yield Modelling in the Pra River Basin of Ghana using the Revised Universal Soil Loss Equation (RUSLE)'s main subject is recorded as sediment^[9].
• Soil Erosion and Sediment Yield Modelling in the Pra River Basin of Ghana using the Revised Universal Soil Loss Equation (RUSLE)'s main subject is recorded as soil erosion^[10].
• Soil Erosion and Sediment Yield Modelling in the Pra River Basin of Ghana using the Revised Universal Soil Loss Equation (RUSLE)'s published in is recorded as Ghana Journal of Geography^[11].
• Soil Erosion and Sediment Yield Modelling in the Pra River Basin of Ghana using the Revised Universal Soil Loss Equation (RUSLE)'s author name string is recorded as Kusimi, J.M.^[12].
• Soil Erosion and Sediment Yield Modelling in the Pra River Basin of Ghana using the Revised Universal Soil Loss Equation (RUSLE)'s author name string is recorded as Yiran, G.A.B.^[13].
• Soil Erosion and Sediment Yield Modelling in the Pra River Basin of Ghana using the Revised Universal Soil Loss Equation (RUSLE)'s author name string is recorded as Attua, E.M.^[14].
• Soil Erosion and Sediment Yield Modelling in the Pra River Basin of Ghana using the Revised Universal Soil Loss Equation (RUSLE)'s exact match is recorded as http://ugspace.ug.edu.gh/handle/123456789/8051^[15].
• Soil Erosion and Sediment Yield Modelling in the Pra River Basin of Ghana using the Revised Universal Soil Loss Equation (RUSLE)'s Microsoft Academic ID is recorded as 2777610965^[16].
• Soil Erosion and Sediment Yield Modelling in the Pra River Basin of Ghana using the Revised Universal Soil Loss Equation (RUSLE)'s University of Ghana Digital Collections is recorded as 8051^[17].
• Soil Erosion and Sediment Yield Modelling in the Pra River Basin of Ghana using the Revised Universal Soil Loss Equation (RUSLE)'s OpenAlex ID is recorded as C2777610965^[18].

Body

Designation and Status

Soil Erosion and Sediment Yield Modelling in the Pra River Basin of Ghana using the Revised Universal Soil Loss Equation (RUSLE)'s instance of is recorded as scholarly article^[3].

Why It Matters

Soil Erosion and Sediment Yield Modelling in the Pra River Basin of Ghana using the Revised Universal Soil Loss Equation (RUSLE) draws 23 Wikipedia views per month (scholarly_article category, ranking #17 of 21).^[2] Soil Erosion and Sediment Yield Modelling in the Pra River Basin of Ghana using the Revised Universal Soil Loss Equation (RUSLE) has Wikipedia articles in 7 language editions, a strong signal of global cultural recognition.^[19]