Predicting Rainfall Erosivity by Variable Models
In a Region with a Non-Uniform Pluvial Regime
(Sprache: Englisch)
Information on the factors leading to soil erosion can be used as a perspective for the development of an appropriate land-use plan. One of the most important active agents of soil erosion is rain due to its potential for producing soil erosion. Soil...
Leider schon ausverkauft
versandkostenfrei
Buch
54.90 €
27 DeutschlandCard Punkte
sammeln
- Lastschrift, Kreditkarte, Paypal, Rechnung
- Kostenlose Rücksendung
- Ratenzahlung möglich
Produktdetails
Produktinformationen zu „Predicting Rainfall Erosivity by Variable Models “
Klappentext zu „Predicting Rainfall Erosivity by Variable Models “
Information on the factors leading to soil erosion can be used as a perspective for the development of an appropriate land-use plan. One of the most important active agents of soil erosion is rain due to its potential for producing soil erosion. Soil erosion by water is a major threat to sustainable agriculture and food production across the globe. Rainfall erosivity (R-Factor) is one of the important parameters for water erosion risk assessment.
Autoren-Porträt von Dawod Rasooli Keya
Rasooli Keya, DawodDawod Rasooli is a soil and water conservation specialist and lecturer at Erbil Polytechnic University. He has done many study on the rainfall erosivity factor. Dawod has published articles on these topics: Soil Conservation, Estimating Soil Erosion, Rainfall Characteristics and ETo, evapotranspiration.
Bibliographische Angaben
- Autor: Dawod Rasooli Keya
- 2020, 124 Seiten, Maße: 22 cm, Kartoniert (TB), Englisch
- Verlag: LAP Lambert Academic Publishing
- ISBN-10: 6203197610
- ISBN-13: 9786203197617
Sprache:
Englisch
Kommentar zu "Predicting Rainfall Erosivity by Variable Models"
0 Gebrauchte Artikel zu „Predicting Rainfall Erosivity by Variable Models“
| Zustand | Preis | Porto | Zahlung | Verkäufer | Rating |
|---|
Schreiben Sie einen Kommentar zu "Predicting Rainfall Erosivity by Variable Models".
Kommentar verfassen