TY - JOUR
T1 - Erosivity indicators based on rainfall in Northwestern Mexico
AU - Norzagaray-Campos, Mariano
AU - Muñoz-Sevilla, Patricia
AU - Espinosa-Carreón, Leticia
AU - Ruíz-Guerrero, Rosario
AU - González-Ocampo, Héctor
AU - Llanes-Cárdenas, Omar
N1 - Publisher Copyright:
© 2016 Vilnius Gediminas Technical University (VGTU) Press.
PY - 2016/4/2
Y1 - 2016/4/2
N2 - This study is motivated by the problem of erosivity (R), exacervated in semiarid zones by intense seasonal storms. The purpose was to estimate the spatial variation of R in a coastal area covering 37500 km2 which is one of the most important agricultural areas in northwestern Mexico. Four methods were used. Rainfall data from 11 SMN-CONAGUA weather stations (from 1966 to 2013) were used to calculate R. The annual average R1 was 1181.08, and R2 was 1084.51 MJ mm ha–1 h–1 with ranges of 2.35–5220.55 and 2.93–4711.38 MJ mm ha–1 h–1. Statistical tests showed that a transformation of the data of the form y = log (x), was appropriate for an ANOVA analysis of the data. The value of the test statistic was F = 1.77 with p = 0.149, showing interdependence between the indicators P (α = 0.05). The values of the correlation coefficients for the data were P vs. R1 = 0.96, P vs. R2 = 0.99, P vs. AIm = 0.98, P vs. MFI = 0.99. The classification of risk in this region showed that 2017.5 km2of the study area was at a very high risk of rain erosion, 2407.5 km2under high risk, 5662.5 km2under medium to high risk, and 14250 km2under low risk. The results are shown on 1:10,000 maps. Results are a set of useful information for soil management programs and for cultivation planning that takes the seasonal variation of R into account in this region where large volumes of extensive crops are grown.
AB - This study is motivated by the problem of erosivity (R), exacervated in semiarid zones by intense seasonal storms. The purpose was to estimate the spatial variation of R in a coastal area covering 37500 km2 which is one of the most important agricultural areas in northwestern Mexico. Four methods were used. Rainfall data from 11 SMN-CONAGUA weather stations (from 1966 to 2013) were used to calculate R. The annual average R1 was 1181.08, and R2 was 1084.51 MJ mm ha–1 h–1 with ranges of 2.35–5220.55 and 2.93–4711.38 MJ mm ha–1 h–1. Statistical tests showed that a transformation of the data of the form y = log (x), was appropriate for an ANOVA analysis of the data. The value of the test statistic was F = 1.77 with p = 0.149, showing interdependence between the indicators P (α = 0.05). The values of the correlation coefficients for the data were P vs. R1 = 0.96, P vs. R2 = 0.99, P vs. AIm = 0.98, P vs. MFI = 0.99. The classification of risk in this region showed that 2017.5 km2of the study area was at a very high risk of rain erosion, 2407.5 km2under high risk, 5662.5 km2under medium to high risk, and 14250 km2under low risk. The results are shown on 1:10,000 maps. Results are a set of useful information for soil management programs and for cultivation planning that takes the seasonal variation of R into account in this region where large volumes of extensive crops are grown.
KW - coastal area
KW - indicators
KW - rainfall
KW - risk
KW - semiarid zones
UR - http://www.scopus.com/inward/record.url?scp=84975886101&partnerID=8YFLogxK
U2 - 10.3846/16486897.2015.1106405
DO - 10.3846/16486897.2015.1106405
M3 - Artículo
SN - 1648-6897
VL - 24
SP - 133
EP - 142
JO - Journal of Environmental Engineering and Landscape Management
JF - Journal of Environmental Engineering and Landscape Management
IS - 2
ER -