Predicting RUSLE (Revised Universal Soil Loss Equation) monthly erosivity index from readily available rainfall data in Mediterranean area

被引：48

作者：

Diodato N. ^{[1
,2
]}

机构：

[1] Monte Pino Research Observatory on Climate and Landscape

来源：

Environmentalist | 2006年 / 26卷 / 1期

关键词：

Erosivity index; Mediterranean; Rainfall; Revised Universal Soil Loss Equation; RUSLE;

D O I：

10.1007/s10669-006-5359-x

中图分类号：

学科分类号：

摘要：

Seasonal rainerosivity is important in the structure and dynamics of Mediterranean ecosystems. The present paper contributes to the quantitative assessment of RUSLE's monthly erosion index in a data-scarce Mediterranean region. Therefore, a regionalized relationship for estimating monthly erosion index (EI 30-month) from only three rainfall parameters has been obtained. Knowledge of the seasonal and annual distribution of erosivity index, permit soil and water conservationists to make improved designs for erosion control, water harvesting or small hydraulic structures. Although a few long data sets were used in the analysis, validation with established monthly erosivity index values from other Italian locations, suggest that the model presented (r 2 = 0.973) is robust. It is recommended to monthly erosivity estimates when experimental data-scarce rainfall become available. © 2005 Springer Science + Business Media, Inc.

引用

页码：63 / 70

页数：7

共 50 条

[41] An improved rainfall erosivity index obtained from experimental interrill soil losses in soils with a Mediterranean climate
Usón, A
Ramos, MC
[J]. CATENA, 2001, 43 (04) : 293 - 305
[42] A GIS-based soil erosion prediction using the Revised Universal Soil Loss Equation (RUSLE) (Lebna watershed, Cap Bon, Tunisia)
I. Gaubi
A. Chaabani
A. Ben Mammou
M. H. Hamza
[J]. Natural Hazards, 2017, 86 : 219 - 239
[43] Identifying Potential Erosion-Prone Areas in the Indian Himalayan Region Using the Revised Universal Soil Loss Equation (RUSLE)
Dawa, Dorje
Arjune, Vairaj
[J]. ASIAN JOURNAL OF WATER ENVIRONMENT AND POLLUTION, 2021, 18 (01) : 15 - 23
[44] Assessment of soil erosion and sediment yield in the Peddavagu watershed, India, using a revised universal soil loss equation model (RUSLE) and GIS techniques
Shekar, Padala Raja
Mathew, Aneesh
[J]. JOURNAL OF WATER AND CLIMATE CHANGE, 2024, 15 (07) : 3138 - 3157
[45] Estimating soil erosion in sub-Saharan Africa based on landscape similarity mapping and using the revised universal soil loss equation (RUSLE)
Tamene, Lulseged
Quang Bao Le
[J]. NUTRIENT CYCLING IN AGROECOSYSTEMS, 2015, 102 (01) : 17 - 31
[46] Estimating soil erosion in sub-Saharan Africa based on landscape similarity mapping and using the revised universal soil loss equation (RUSLE)
Lulseged Tamene
Quang Bao Le
[J]. Nutrient Cycling in Agroecosystems, 2015, 102 : 17 - 31
[47] Soil erosion estimation using Geographic Information System (GIS) and Revised Universal Soil Loss Equation (RUSLE) in the Siwalik Hills of Nawalparasi, Nepal
Tiruwa, Durga Bahadur
Khanal, Babu Ram
Lamichhane, Sushil
Acharya, Bharat Sharma
[J]. JOURNAL OF WATER AND CLIMATE CHANGE, 2021, 12 (05) : 1958 - 1974
[48] A GIS-based soil erosion prediction using the Revised Universal Soil Loss Equation (RUSLE) (Lebna watershed, Cap Bon, Tunisia)
Gaubi, I.
Chaabani, A.
Ben Mammou, A.
Hamza, M. H.
[J]. NATURAL HAZARDS, 2017, 86 (01) : 219 - 239
[49] A new method for calculating C factor when projecting future soil loss using the Revised Universal soil loss equation (RUSLE) in semi-arid environments
Pinson, Ariane O.
AuBuchon, Jonathan S.
[J]. CATENA, 2023, 226
[50] Multi-temporal annual soil loss risk mapping employing Revised Universal Soil Loss Equation (RUSLE) model in Nun Nadi Watershed, Uttrakhand (India)
Naqvi, Hasan Raja
Mallick, Javed
Devi, Laishram Mirana
Siddiqui, Masood Ahsan
[J]. ARABIAN JOURNAL OF GEOSCIENCES, 2013, 6 (10) : 4045 - 4056

← 1 2 3 4 5 →