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A new methodology for estimating rainfall aggressiveness risk based on daily rainfall records for multi-decennial periods

Abstract

The temporal irregularity of rainfall, characteristic of a Mediterranean climate, corresponds to the irregularity of the environmental effects on soil. We used aggressiveness as an indicator to quantify the potential environmental impact of rainfall. However, quantifying rainfall aggressiveness is conditioned by the lack of sub-hourly frequency records on which intensity models are based. On the other hand, volume models are characterized by a lack of precision in the treatment of heavy rainfall events because they are based on monthly series. Therefore, in this study, we propose a new methodology for estimating rainfall aggressiveness risk. A new synthesis parameter based on reformulation using daily data of the Modified Fournier and Oliver's Precipitation Concentration indices is defined. The weighting of both indices for calculating the aggressiveness risk is established by multiple regression with respect to the local erosion R factor estimated in the last decades. We concluded that the proposed methodology overcomes the previously mentioned limitations of the traditional intensity and volume models and provides accurate information; therefore, it is appropriate for determining potential rainfall impact over long time periods. Specifically, we applied this methodology to the daily rainfall time series from the San Fernando Observatory (1870–2010) in southwest Europe. An interannual aggressiveness risk series was generated, which allowed analysis of its evolution and determination of the temporal variability. The results imply that environmental management can use data from long-term historical series as a reference for decision making.

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A new methodology for estimating rainfall aggressiveness risk based on daily rainfall records for multi-decennial periods

Author: García Barrón, Leoncio; Morales González, Julia; Sousa Martín, Arturo
Publisher: Elsevier
Year: 2018
DOI: 10.1016/j.scitotenv.2017.09.305
Source: https://idus.us.es/bitstreams/85211ca5-6133-45eb-9739-385e7475f712/download
A NEW METHODOLOGY FOR ESTIMATING RAINFALL
AGGRESSIVENESS RISK BASED ON DAILY RAINFALL RECORDS FOR
MULTI-DECENNIAL PERIODS
Leoncio Ga cía-Ba ón1, Julia Mo ales2, A u o Sousa2*
1 Depa amen o de Física Aplicada II, Uni e sidad de Se illa, E-41012 Se illa, España
2 Depa amen o de Biología Vege al y Ecología, Uni e sidad de Se illa, E-41012
Se illa, España
ABSTRACT
The empo al i egula i y o ain all, cha ac e is ic o a Medi e anean clima e,
co esponds o he i egula i y o he en i onmen al e ec s on soil. We used
agg essi eness as an indica o o quan i y he po en ial en i onmen al impac o ain all.
Howe e , quan i ying ain all agg essi eness is condi ioned by he lack o sub-hou ly
equency eco ds on which in ensi y models a e based. On he o he hand, olume
models a e cha ac e ized by a lack o p ecision in he ea men o hea y ain all e en s
because hey a e based on mon hly se ies. The e o e, in his s udy, we p opose a new
me hodology o es ima ing ain all agg essi eness isk. A new syn hesis pa ame e
based on e o mula ion using daily da a o he Modi ied Fou nie and Oli e ´s
P ecipi a ion Concen a ion indices is de ined. The weigh ing o bo h indices o
calcula ing he agg essi eness isk is es ablished by mul iple eg ession wi h espec o
he local e osion R ac o es ima ed in he las decades. We concluded ha he p oposed
me hodology o e comes he p e iously men ioned limi a ions o he adi ional in ensi y
*Co espondence o: A. Sousa, Depa amen o de Biología Vege al y Ecología, Uni e sidad de Se illa, E-41012 Se illa, Spain. E-
mail: [email protected]
*Re ised manusc ip wi h no changes ma ked
Click he e o iew linked Re e ences
and olume models and p o ides accu a e in o ma ion; he e o e, i is app op ia e o
de e mining po en ial ain all impac o e long ime pe iods. Speci ically, we applied
his me hodology o he daily ain all ime se ies om he San Fe nando Obse a o y
(1870-2010) in sou hwes Eu ope. An in e annual agg essi eness isk se ies was
gene a ed, which allowed analysis o i s e olu ion and de e mina ion o he empo al
a iabili y. The esul s imply ha en i onmen al managemen can use da a om long-
e m his o ical se ies as a e e ence o decision making.
KEY WORDS: Agg essi eness; Rain all e osi i y; Land use; En i onmen al isk;
Sou hwes Eu ope
1. In oduc ion
One o he ea u es o he ain all egime in a Medi e anean clima e is he in e - and
in a-annual i egula i y (Ga cía-Ba ón e al., 2013). In e -decadal clima e s udies help
o explain he causes o e ain al e a ion o e ime (Dioda o e al., 2008). Rain all
e osi i y causes a loss o e ile soil, damage o ag icul u e and in as uc u e and wa e
pollu ion and is in luenced by changes in ain all pa e ns (Ma ín-Fe nández &
Ma ínez-Nuñez, 2011; Sánchez-Mo eno e al., 2014) and by p edic able e ec s o
clima e change (Dioda o e al., 2011). In his s udy, we conside agg essi eness isk as a
po en ial es ima e o he physical e ec s o ain all on soil dynamics sensu Fou nie
(1960). Ou iew is ha agg essi eness isk is an app op ia e en i onmen al indica o
and di ec ly ela ed o e osion and associa ed wi h he incidence o o en s, loods,
landslides, displacemen , e c. (G ego i e al., 2006). The e o e, knowledge o his
a iable o e long pe iods is pa icula ly use ul o he managemen o wa e esou ces,
soil conse a ion, ag icul u al planning and he de elopmen o en i onmen al policy.
Mo eo e , annual es ima es o agg essi eness isk enable he compa ison o o de s o
magni ude among di e en obse a ion si es a di e en imes. This en i onmen al
indica o is based on daily ain all eco ds and does no include o he aspec s ela ed o
e osion such as slope leng h, soil ypes, wind ac i i y, land use, e c.
Fo he di ec calcula ion o soil e osion, he uni e sal soil loss equa ion (USLE)
has been equen ly used (Wischmeie & Smi h, 1978). Speci ically, he ain all
e osi i y, o R ac o , depends on he ene gy o e e y ain all episode (Panagos e al.,
2015). The R ac o is an accep ed ins umen o local e osion measu emen ,
successi ely upda ed and empi ically endo sed by means o ield measu emen s (Rena d
e al., 1997). Models such as he USLE and RUSLE we e o iginally de eloped o
de ailed scale applica ion in he a ming sec o , so hei applica ion on a egional scale
p esen s some limi a ions (Te ano a e al., 2009). Al hough USLE is one o he mos
widely used e osi i y models wo ldwide, i has some limi a ions because he
es ima ions o soil e osion do no i he empi ical measu es o sedimen a ion, and he R
e osi i y ac o does no explici ly inco po a e di ec uno o wa e , which a ec s he
accu acy o he model (Kinnell, 2010). Addi ionally, he spa ial dis ibu ion ends o
o e es ima e he R ac o a egional o i e basin le els (He nando & Romana, 2016),
and i s is no ecommended in a eas di e en om hose in which i was de eloped
wi hou an analysis o he alidi y o he equa ions.
In he speci ic case o he s udy o ain all agg essi eness e ec s, wo
complemen a y app oaches a e aken: in ensi y models a e based on sub-hou ly ain all
eco ds, and olume models a e based on mon hly ain all eco ds. This model e e s o
he di e en pa ial accumula ions o ain all. Tha is, i does no ake in o accoun he
numbe , he du a ion and he ain all amoun
exclusi ely on he o al mon hly ain all. Ne e heless o he di ec calcula ion o he
ain all e osi i y in la ge a eas, i is desi able o make use o high equency ain all
eco ds collec ed by nea by wea he s a ions du ing a pe iod longe han wen y yea s
(Angulo-Ma inez e al., 2009). Howe e , excep o mode n au oma ic wea he
s a ions, adi ional obse a o ies ha e no high- equency se ies wi h sub-hou ly
eco ds. On he o he hand, olume models a e based on mon hly ain all eco ds ha
a e ex ensi ely a ailable in mos coun ies. In his case, he egula use o he
agg essi eness index in en i onmen al s udies (Fou nie , 1960), subsequen ly modi ied
by A noldus (1980) as he Modi ied Fou nie Index (IFM) and complemen ed wi h he
P ecipi a ion Concen a ion Index (IPC) de eloped by Oli e (1980), is ema kable.
Bo h es ima ions o calcula ing he in ensi y o ain all agg essi eness p esen
limi a ions. The d awback o he in ensi y models is he lack o adequa e ime se ies
eco ds, and ha o he olume models is he imp ecision in he ea men o hea y ain
episodes because hey a e based on ine imescale esolu ions. The amoun o
p ecipi a ion is no he only ele an pa ame e ; i s empo al dis ibu ion is also ele an ,
as s udies on Medi e anean i e basins in he NE Ibe ian Peninsula (Sánchez-Canales
e al., 2015) and in he SW Ibe ian Peninsula (Sousa e al., 2009) ha e made e iden .
Va ious s udies ha e compa ed he esul s ob ained using in ensi y models ( he R ac o
o USLE) o hose ob ained using olume models. In he Ibe ian Peninsula, he Ins i u e
o he Conse a ion o Na u e (ICONA, 1988) unde he Spanish Minis y o
Ag icul u e p oposed an empi ical ela ionship ha locally associa es he R ac o wi h
he IFM index. Addi ionally, a high co ela ion be ween he R ac o and he mon hly
and/o annual p ecipi a ion pa ame e s, including he Fou nie Index, has been ob ained
in a ious geog aphic a eas, such as in he Medi e anean a ea (Dioda o & Bellocchi,
2007; Taguas e al., 2013), Eas Asia (Lee &Heo, 2011; Yue e al., 2014) and he
opical zone (Sanchez-Mo eno e al., 2014). In he USA, Rena d & F eid (1994)
p oposed eg ession equa ions ha calcula e he R ac o om IFM. Addi ionally,
Lou ei o & Cou hino (2001) es ima ed he R ac o based on he mon hly ain all
agg essi eness in sou he n Po ugal, and Da Sil a (2004) es ima ed he same in B azil.
In his s udy, we p opose o es ima e he agg essi eness isk by means o a
single annual pa ame e ha imp o es he limi a ions o models based only on mon hly
eco ds ( olume models) and hose based on sub-hou ly eco ds (in ensi y models). We
used a me hod based on he daily scaled e o mula ion o he adi ional indices o
agg essi eness, IFM and IPC, ha p o ides mo e accu a e esul s. The me hod also allows

nume ous in es iga ions because he e a e many wea he s a ions ha ha e la ge ime
se ies o daily da a. This Es ima ed Annual Agg essi eness Risk (RA) is calib a ed
locally by means o eg ession equa ions wi h espec o he e osi i y R ac o o a
pe iod o simul anei y. Backwa ds ex apola ion o he esul ing unc ion gene a es he
co esponding ime se ies o he agg essi eness isk. Recen ly, Ga cía-Ba ón e al.
(2015) ha e syn hesized in his pa ame e he agg essi eness isk using IFM and IPC o
s udy ends in i e basins o he Ibe ian Peninsula. In his a icle, we p opose wo main
objec i es:
a) To de ine and calcula e a single annual pa ame e based on daily eco ds
ha syn he ically es ima es he ain all agg essi eness isk.
b) To apply his me hodology o a s udy a ea wi h a Medi e anean clima e
o analyse he empo al beha iou and deduce pa e ns in he e olu ion o
he ain all agg essi eness isk.
2. S udy a ea and da a
We chose he Sou h-A lan ic egion o he Ibe ian Peninsula o he me hodological
applica ion, which is based on a long pe iod and can help o d aw conclusions abou he
po en ial isks o ain all on he land. Spain is one o he coun ies mos se e ely
a ec ed by soil e osion in he Eu opean Medi e anean egion due o ex eme spa ial
and empo al a ia ions in i s physical en i onmen , wi h equen pe iods o d ough
and o en ial ain all (Solé, 2006). The impo ance o e osion in he Medi e anean is
ela ed o he long his o y o human ac i i y in a egion cha ac e ized by low annual
p ecipi a ion, he occu ence o in ense ains o ms and long-las ing d ough s, high
e apo anspi a ion, he p esence o s eep slopes and he occu ence o ecen ec onic
ac i i y, oge he wi h he ecu en use o i e, o e g azing and a ming (Ga cía-Ruiz e
al., 2013).
The sou hwes e n Ibe ian Peninsula alls wi hin he domain o he Medi e anean
clima e, al hough i is in luenced by an oceanic e ec because o i s p oximi y o he
A lan ic Ocean. The a e age annual ain all is app oxima ely 600 mm (a e age alues
a e subs an ially highe in he moun ain ange sepa a ing he wa e sheds o he
Guadiana and Guadalqui i i e s). Rain all is subjec o ma ked in e -annual
i egula i y, wi h g ea oscilla ions in annual o als ha include mul i-yea pe iods o
d ough (Aguila , 2007). In gene al, he p o ile o he in a-annual p ecipi a ion shows
an asymme ic unimodal cu e, ascending in au umn and descending smoo hly om
win e o summe , when i eaches i s minimum.
The Royal Obse a o y o he Spanish Na y (ROA) loca ed in San Fe nando
(p o ince o Cadiz, a he sou he n ip o he Ibe ian Peninsula) includes he oldes
ac i e wea he s a ion in Spain; ain all eco ds ha e been eco ded since 1805 and
accessible daily da a since 1870. Because o hese long- e m and high-quali y eco ds,
di e en s udies ha e used ROA da a as a e e ence o cha ac e ize he ain all egime
(Rod igo, 2002; Ma in-Vide & Lopez-Bus ins, 2006) and he in e - and in a-annual
beha iou (Ga cía-Ba ón e al., 2013) o ain all in he s udy a ea.
The me eo ological s a ions loca ed in he p o ince o dis ic capi als o Spain
and Po ugal ha e been selec ed o quan i y he le el o egional ep esen a ion o he
ROA ain all se ies (Figu e 1). Da a om he Spanish s a ions we e p o ided by he
Spanish Me eo ological Agency (AEMET), and da a om he Po uguese s a ions we e
p o ided by he Po uguese Sea and A mosphe e Ins i u e (IPMA). The wea he s a ions
a e dis ibu ed o e di e en geog aphical a eas as ollows: Cadiz, Huel a and Fa o in
he coas al zone, Co do a and Se ille in he Guadalqui i alley, and Badajoz and Beja
in he Guadiana basin (Figu e 1).
Figu e 1. Map showing he loca ions o he me eo ological s a ions used in he s udy
a ea.
These se ies a e homogeneous and ha e no missing da a (Alma za e al., 1996;
Ga cía-Ba ón e al., 2013). We ha e chosen he pe iod 1961-1990, ecommended by
he Wo ld Me eo ological O ganiza ion, o compa ing he ROA ain all eco ds o
hose o e e y selec ed egional s a ion. Table 1 shows he ep esen a i eness o he
ROA compa ed o e e y selec ed obse a o y in he a ea. To de e mine he
ep esen a i eness, we calcula ed he p opo ionali y o he a e age annual ain all
be ween he ROA and e e y selec ed s a ion, he R-Pea son coe icien o he annual
o als o he espec i e ain all se ies and he R-Pea son coe icien o he mon hly
a e age o he in a-annual dis ibu ion.
Table 1. P opo ionali y coe icien and annual and in e annual co ela ion be ween he
San Fe nando Obse a o y (ROA) and he selec ed egional s a ions.
Table 1 shows ha al hough he o al ain all di e s among neighbou ing
s a ions and in hose wi hin he same basin, he in a- and in e -annual beha iou is
simila . The high co ela ion o he esul s ob ained in Table 1 shows ha he egion
s udied has he same clima e and is subjec o he same synop ic condi ions. This
co obo a es he conclusions o p e ious s udies on ain all in he sou hwes e n Ibe ian
Peninsula (Ga cía-Ba ón e al., 2011). The e o e, we assume ha he gene al ain all
egime o he ROA su icien ly cha ac e izes he A lan ic sou he n zone o he Ibe ian
Peninsula o analysis o i s empo al a iabili y. Consequen ly, his s udy es ima ed he
beha iou o he empo al e olu ion o he agg essi eness isk using daily ain all
eco ds o he ROA om 1870 o 2010. Absolu e homogenei y es s we e applied o he
annual se ies wi h AnClim so wa e (S epanek, 2007) and he S anda d No mal
Obse a o ies Coun y Ins i u ion La i ude and
Longi ude
Annual
a e age a e
R-Pea son
In e annual
R-Pea son
In a-annual
San Fe nando
(ROA)
Spain ROA
- - -
Cadiz Spain AEMET
1.04 0.96 1.00
Huel a Spain AEMET
1.03 0.94 0.98
Fa o Po ugal IPMA 37° 01' 00" N
7° 55' 59" W
1.04 0.76 0.97
Se ille Spain AEMET
1.02 0.85 0.98
Co do a Spain AEMET
0.96 0.86 0.98
Badajoz Spain AEMET 38° 43 02 N
6° 49 45 W
1.02 0.72 0.94
Beja Po ugal IPMA 38°
0.92 0.70 0.94
Applying equa ion 9 o he espec i e annual alues o IFM* and IPC* o he
en i e s udy pe iod allowed ex apola ion and hus gene a ion o he in e annual
es ima ed se ies o RA om 1870 o 2010. The uni s o RA a e he same as hose o R
[(megajoules
g aphically ep esen s he e olu ion o he annual isk es ima ed o he pe iod 1870-
2010 wi h he co esponding end line.
Figu e 5. Tempo al e olu ion o RA in he SW Ibe ian Peninsula.
Fo he en i e pe iod, he a e age alue, he coe icien o linea end, he Vn
coe icien o a ia ion and he ID gene al dispa i y index o RA we e calcula ed. The
analysis esul s a e shown in Table 2, which also includes he co esponding alues o
he indices IFM*and IPC* o compa ison pu poses.
Table 2. Cha ac e iza ion o he RA and i s compa ison o he espec i e s a is ical
componen s IFM* and IPC*: a e age, end (linea eg ession), explained a iance,
a iabili y and Speci ic Dispa i y Index
A e age T end
2
VN ID
IFM* 21.0 - 0.012 < 0.01 0.28 0.40
IPC* 3.8 < 0.001 < 0.001 0.27 0.35
RA 1742 - 4.63 < 0.1 0.47 0.64

The a e age alue o RA was 1742 uni s. The linea end (Figu e 5) showed a
sligh ly dec easing slope (-4.63 uni / yea ), s a is ically signi ican a he 95% le el (T=
-2.8 <-1.9) bu clima ically no ele an because he explained a iance was lowe han
1% ( 2<0.1). The e o e, he cen al alue was no a su icien p edic o o he empo al
es ima ion o he RA; he high coe icien o a ia ion (VN = 0.47) and he gene al
dispa i y index (ID = 0.64) a e p oo o his s a e. This highligh s he la ge empo a y
luc ua ions o he RA se ies, e en be ween consecu i e yea s. Addi ionally, he
coe icien o a ia ion and he gene al dispa i y index o RA we e highe han hose o
IFM* and IPC*.
Despi e he lack o a signi ican end o RA, i s accumula ed ela i e de ia ions
Ak allowed us o iden i y di e en mul iannual sequences ha cha ac e ized he
in e annual beha iou and, consequen ly, o iden i y sec ions o high and low isk o
agg essi eness.
Figu e 6 ep esen s he accumula ed de ia ions wi h espec o he N a e age o
he whole se ies o RA. An ini ial ups eam line was obse ed un il he end o he
nine een h cen u y and in ol ed a high equency o yea s wi h an agg essi eness isk
highe han he a e age o he se ies. This pe iod o high equency o he
agg essi eness isk coincided wi h he end o he Li le Ice Age in Andalusia, which led
o an impo an clogging and educ ion p ocess in lagoons and small coas al b ooks
(Sousa e al., 2006) in he sou hwes e n Ibe ian Peninsula. Dioda o e al. (2011) no ed
ha e osi e o ces inc eased owa ds he end o he Li le Ice Age (~1850) o e he
wes e n and cen al Medi e anean in gene al and ha e inc eased e en mo e du ing he
ecen wa ming pe iod in me idional Medi e anean egions because o a highe
equency o in ense s o ms. On he o he hand, Figu e 6 shows a downwa d sec ion a
he i s hal o he 20 h cen u y, co esponding o yea s wi h agg essi eness isk below
he a e age and ha coincided wi h a sligh ly d y pe iod wi h smoo h annual ain all
luc ua ions.
Figu e 6. E olu ion o he accumula ed de ia ions wi h espec o he a e age RA.
Finally, a s eep downwa d phase ha we associa e wi h a pe iod o low ain all
agg essi eness s ands ou du ing he las hi y yea s o he 20 h cen u y (Figu e 6). This
phase coincided wi h a d y pe iod in which he e was a g ea e dispe sion o he in a-
annual ain all, a ela i e lack o ain all in sp ing and a shi in ain all owa ds he
au umn mon hs (Ga cía-Ba ón e al., 2013). Da a o he e osion and sil ing o he
halwegs o coas al b ooks in he SW o Spain o his pe iod show lowe ac i i y han
ha o bo h p e iously men ioned pe iods ( he end o he 19 h cen u y and he 1960s o
he 20 h cen u y), which showed high e osi e ac i i y (Figu e 6). Tha is, phases o high
ain all agg essi eness du ing he 19 h and 20 h cen u ies in he SW o Eu ope caused
we land eg ession, especially in lagoons and coas al b ooks (Sousa e al., 2013, 2015).
4.3 Tempo al i egula i y o he es ima ed isk o agg essi eness
The i egula i y o he en i onmen al e ec s caused by ain all o igina es in he annual
and in a-annual ain all i egula i y i sel . In he p e ious sec ions, we discussed he
gene al a iabili y o RA du ing he s udy pe iod by means o VN and ID; consequen ly, i
is necessa y o analyse i s in e annual e olu ion. To do so, we calcula ed he mobile
a ia ion coe icien s o pe iods o ele en yea s (V(11)n) o he n yea s o he se ies
gene a ed (ob iously wi h a educ ion o he i s en elemen s) du ing he obse a ion
pe iod.
The V(11)n a ia ion coe icien associa ed wi h he ime sequence o he RA
annual alue showed peaks o he es ima ed isk in he yea s 1887, 1922, 1961 and 2002
o app oxima ely 0.5, sepa a ed by he co esponding pe iods o minimum alues lowe
han 0.30 (Figu e 7), which indica es highe empo al s abili y o he in e annual RA
alues. This igu e includes he ep esen a ion o he alues end line. The las 25 yea s
o he se ies is cha ac e ized by he g ea es isk a iabili y o he 140 yea s s udied.
Figu e 7 shows a linea end o he coe icien o a ia ion alues wi h a posi i e slope
(y = 0.0009 x +0.387) signi ican o p = 0.05 (TC = 3.62> 1.98), wi h 2 equal o 0.09.
The slope inc eases o 0.015 in he line ha links he ela i e maximum alues (1887,
1922, 1961 and 2002).
Figu e 7. Mobile a ia ion o he RA coe icien o pe iods o ele en yea s wi h he
end line o he en i e pe iod analysed and ha o he maximum ela i e alues.
The e o e, he empo al analysis o RA by means o he V(11)n a ia ion coe icien
shows an almos cyclical pa e n wi h a pulsa ion o app oxima ely 40 yea s (Figu e 7).
This cyclical componen is unique, and we ha e no in o ma ion indica ing ha i had
been p e iously de ec ed in he a iabili y analysis o o he clima e a iables in he
Medi e anean en i onmen . Equi alen esul s we e ob ained by analysing he Speci ic
Dispa i y Index (Idj) a e a ailable in he Suppo ing In o ma ion sec ion (S2). I is also
no ewo hy ha he V(11)n a ia ion coe icien o he RA p esen s a p og essi e inc ease
o i s ela i e ex emes.
5. Discussion
The p oposed me hodology o calcula ing RA was applied o he SW Ibe ian Peninsula.
Tempo al analysis o he gene a ed RA se ies o San Fe nando (ROA, 1870-2010)
showed some sequences o consecu i e yea s ha , as a whole, show a equency o
annual alues highe o lowe han he mean alue. The e was a p edominance o low
agg essi eness du ing he i s hal o he 20 h cen u y, especially du ing he las hi y
yea s; howe e , he e we e peaks o high agg essi eness in he la e 19 h and mid-20 h
cen u ies coinciding wi h pe iods o high soil e osion ha esul ed in sil a ion o lagoons
(Sousa e al., 2013) and b ooks (Sousa e al., 2015) in he sou hwes e n Ibe ian
Peninsula (Biosphe e Rese e o Doñana).
Al hough his s udy was de eloped in he Ibe ian Peninsula, he new pa ame e
is based on IFM and IPC (indices used in di e en edaphic and me eo ological
condi ions), and we conside ha i s applica ion is alid o analysing he po en ial
impac s o ain all in di e en clima ic and geog aphic a eas. Thus, i is necessa y o
de elop a weigh ing local equa ion o bo h indices, (IFM*, IPC*), de e mined by ain all
in each egion.
Se e al s udies (Rena d & F eid, 1994; Dioda o y Bellocchi, 2007; Lee & Heo,
2011; Taguas e al., 2013; Yue e al., 2014) ha e shown a high co ela ion be ween he
R ac o and ain all pa ame e s such as he IFM. Fo hei pa , Michiels e al. (1992)
used he IPC o analyse ain all a iabili y and conside ed ha his index is app op ia e
o e alua ing he e osi i y, and Gab iels e al. (2003) used mon hly p ecipi a ion da a
o analyse he in e annual a iabili y o e osi i y. Apaydin e al. (2006), Elagib (2011),
Elbasi e al. (2013) and Meshesha e al. (2015) used p ocedu es based on hese indices
o analyse e osi i y in a id egions. Based on he IFM, Saue bo n e al. (1999) and
Nea ing (2001) sugges ed he possibili y o changes in he ain all e osi i y in Eu ope
and he USA, espec i ely, du ing he 21s cen u y. De Luis e al. (2010) sepa a ely
applied IFM and IPC o s udy a possible inc ease in e osi i y in he Spanish
Medi e anean a ea. Addi ionally, bo h indices ha e been used o de ec changes in he
empo al end o e osi i y in sou he n Po ugal (Nunes e al., 2016) and, in an
in eg a ed way, analyse he spa ial and empo al a iabili y o agg essi eness in he
wa e sheds o he Ibe ian Peninsula (Ga cía-Ba ón e al., 2015).
The ad an age o he p oposed me hodology is ha i p o ides an accu a e
annual syn hesis pa ame e o di ec in e p e a ion, po en ially applicable o di e en
geog aphical a eas. RA o e comes he limi a ions o he in ensi y models because o he
lack o sub-hou ly eco ds (R ac o ) and he imp ecision o he adi ional olume
models (IFM and IPC) associa ed wi h he e ec s o hea y ain all episodes. The e o e,
he new RA pa ame e is an app op ia e mechanism o es ima ing he po en ial
en i onmen al impac o ain all agg essi eness and o pe o ming spa ial and empo al
compa a i e analysis.
To de e mine he equa ion FM, IPC) wi h su icien accu acy, we needed
minimum simul aneous daily and sub-hou ly ain all eco ds in addi ion o local e osion
da a. An open esea ch line o he u u e is o ex end he applica ion o his
me hodology o o he s udy a eas wi h di e en clima ic condi ions, pa icula ly in he
Medi e anean, semia id en i onmen s and en i onmen s a isk o dese i ica ion, and
o compa e he esul s o he esul s ob ained by o he me hods and a o he ime scales.

Al hough he p oposed me hodology has heo e ical ounda ions, i would be con enien
o es ablish a di ec empi ical e i ica ion o RA o allow o he quan i ica ion o ain all
en i onmen al impac s ( uno , sil a ion o we lands, e c.). Ano he aspec o conside is
ha al hough RA es ima es he ain all po en ial ene gy, he e osi e p ocess is much
mo e complex, and i is no always ha ain all amoun and/o dis ibu ion he main
ac o a ec ing he e osi e p ocess. Ga cía-Ruiz e al. (2015) conduc ed a wo ldwide
me a-analysis o soil e osion a es, based on da a om mo e han 4000 si es, whose
esul s show ha he e is ex ao dina ily high a iabili y in e osion a es, wi h almos
any a e appa en ly possible i espec i e o land slope, clima e, scale, land use/land
co e and o he en i onmen al cha ac e is ics. Despi e his a iabili y, some gene al
ends we e ound, including an inc ease in e osion a es wi h inc easing land slope and
annual p ecipi a ion, he associa ion o ag icul u al p ac ices wi h he highes e osion
a es, and a co ela ion be ween sh ub co e age and he lowes e osion a es. E en so,
he wo ldwide me a-analysis o Ga cía-Ruiz e al. (2005) sugges s ha only o de o
magni ude app oxima ions o e osion a es a e possible. This supposes a high deg ee o
unce ain y and causes hese au ho s o pos ula e he need o de elop p o ocols ha
allow he compa ison o he esul s o di e en si es.
Human ac i i y can also signi ican ly a ec he de elopmen and e olu ion o
denuda ion ho spo s, especially h ough changes in land use (Ve ga i e al., 2013). As
hese au ho s poin ou , his ac o has a g ea impo ance associa ed wi h he c oplands
abandonmen , and in gene al, in badlands o he Medi e anean a ea. The ela ionships
among he a ious ac o s ha in luence he e osion in ensi y a e e y complex, and
he e o e new s udies a e needed o con inue o deepen hese aspec s, wi h he suppo
o eal e osion measu es aken di ec ly om he ield wo k.
6. Conclusions
A new syn hesis pa ame e RA was calcula ed by means o he combined use o he
Fou nie (IFM*) and Oli e concen a ion (IPC*) indices and e o mula ed wi h daily da a.
Weigh ing be ween bo h indices was ob ained by mul iple eg ession wi h he local
e osi i y. The his o ical ex apola ion allowed he in e annual se ies o he RA o be
ob ained. A compa a i e analysis o he empo al e olu ion o IFM* and IPC* showed ha
hey we e independen o each o he and ha hei con ibu ions o he calcula ion o RA
we e complemen a y. Ob aining he annual alues o RA in he same uni s and scale as
he USLE R unc ion allowed o he gene aliza ion o he esul s, hus inc easing hei
applicabili y and es ablishing a link among his o ical ain all eco ds and cu en alues
o he po en ial ain all agg essi eness.
In ou opinion, he p oposed me hodology has he abili y o p o ide consis en
conclusions abou his o ical e osi e p ocesses in each egion linked o he po en ial
ain all agg essi eness. The e o e, i has a special ele ance o he design o
en i onmen al measu es and land managemen policies ha p e en he di ec and
indi ec impac s o ain all.
7. Acknowledgemen s
p o iding he ain all eco ds and he En i onmen al In o ma ion Ne wo k o he
Minis y o En i onmen o he Jun a de Andalucía o p o iding he da a se o
calcula e he e osi i y. We hank Ma ía Ángeles Ga ido and Alicia Cebolla o hei
help in da a p ocessing.
8. Re e ences
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116. h ps://idus.us.es/xmlui/handle/11441/30483
Alexande sson H. 1986. A homogenei y es applied o p ecipi a ion da a. Jou nal o
Clima ology 6: 661- 675. DOI:10.1002/joc.3370060607.
Alma za C, López A, Flo es C. 1996. Homogeneidad y a iabilidad de los egis os
his ó icos de p ecipi ación en España. Ins i u o Nacional de Me eo ología,
Mad id.
Angulo-Ma ínez M, López-Vicen e M, Vicen e-Se ano SM, Begue ía S. 2009.
Mapping ain all e osi i y a a egional scale, a compa ison o in e pola ion
me hods in he Eb o Basin (NE Spain). Hyd ology and Ea h Sys em Sciences
13: 1907-1920. DOI:10.5194/hess-13-1907-2009.
Apaydin H, E pul G, Bay amin I, Gab iels D. 2006. E alua ion o indices o
cha ac e izing he dis ibu ion and concen a ion o p ecipi a ion: a case o he
egion o Sou heas e n Ana olia P ojec , Tu key. Jou nal o Hyd ology 328:
726-732. DOI:10.1016/j.jhyd ol.2006.01.019.
A noldus HMJ. 1980. An app oxima ion o he ain all ac o in he uni e sal soil loss
equa ion. In: Assessmen o E osion, De Bood M, Gab iels D (eds). John Wiley:
Chiches e ; 127-132.
Da Sil a AM. 2004. Rain all e osi i y map o B azil. Ca ena 57: 251-259.
DOI:10.1016/j.ca ena.2003.11.006.
De Luis M, Gonzalez-Hidalgo JC, Longa es LA. 2010. Is ain all e osi i y inc easing in
he Medi e anean Ibe ian Peninsula? Land Deg ada ion & De elopmen 21:
139-144. DOI:10.1002/ld .918.
Dioda o N, Bellocchi G, Romano N, Chi ico GB. 2011. How he agg essi eness o
ain alls in he Medi e anean lands is enhanced by clima e change. Clima ic
Change 108: 591-599. DOI:10.1007/s10584-011-0216-4.
Dioda o N, Bellocchi G. 2007. Es ima ing mon hly (R)USLE clima e inpu in a
Medi e anean egion using limi ed da a. Jou nal o Hyd ology 345: 224-236.
DOI:10.1016/j.jhyd ol.2007.08.008.
Dioda o N, Cecca elli M, Bellocchi G. 2008. Decadal and cen u y long changes in he
econs uc ion o e osi e ain all anomalies in a Medi e anean lu ial basin.
Ea h Su ace P ocesses and Land o ms 33: 2078-2093. DOI: 10.1002/esp.1656.
Elagib NA. 2011. Changing ain all, seasonali y and e osi i y in he hype -a id zone o
Sudan. Land Deg ada ion & De elopmen 22: 505 512. DOI:10.1002/ld .1023.
Elbasi AMA, Ojha CSP, Jinbai H, Yasuda H, Kimu a R, Ahmed Z. 2013. Rela ionship
be ween ain all e osi i y indica o s unde a id en i onmen s: Case o
Liudaogou basin in Chinese Loess Pla eau. Jou nal o Food, Ag icul u e &
En i onmen 11: 1073-1077. h p://wo ld- ood.ne /download/jou nals/2013-
issue_2/2013-issue_2-en i onmen /e55.pd .
Fou nie F. 1960. Clima e é osion. P esse Uni e si ai e de F ance, Pa is.
Gab iels D, Ve meulen A, Ve bis K, Van Mei enne M. 2003. Assessmen o ain
e osi i y and p ecipi a ion concen a ion in Eu ope. In: P oceedings o he
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Co nelis W (eds). Ghen ; 87 92.
Table 1. P opo ionali y coe icien and annual and in e annual co ela ion be ween he
San Fe nando Obse a o y (ROA) and he selec ed egional s a ions
Obse a o ies Coun y Ins i u ion La i ude and
Longi ude
Annual
a e age a e
R-Pea son
In e annual
R-Pea son
In a-annual
San Fe nando
(ROA)
Spain ROA
- - -
Cadiz Spain AEMET
1.04 0.96 1.00
Huel a Spain AEMET
1.03 0.94 0.98
Fa o Po ugal IPMA 37° 01' 00" N
7° 55' 59" W
1.04 0.76 0.97
Se ille Spain AEMET
1.02 0.85 0.98
Co do a Spain AEMET
0.96 0.86 0.98
Badajoz Spain AEMET 38° 43 02 N
6° 49 45 W
1.02 0.72 0.94
Beja Po ugal IPMA
0.92 0.70 0.94

Table 2. Cha ac e iza ion o he RA and i s compa ison o he espec i e s a is ical
componen s IFM* and IPC*: a e age, end (linea eg ession), explained a iance,
a iabili y and Speci ic Dispa i y Index
A e age T end
2
VN ID
IFM* 21.0 - 0.012 < 0.01 0.28 0.40
IPC* 3.8 < 0.001 < 0.001 0.27 0.35
RA 1742 - 4.63 < 0.1 0.47 0.64
FIGURE LEGEND
Figu e 1. Map showing he loca ions o he me eo ological s a ions used in he s udy
a ea.
Figu e 2.a) Tempo al e olu ion o he IFM* and b) he IPC* showing he a e age alue
and mobile a e age o pe iods o ele en yea s.
Figu e 3. Pai wise sca e plo o he ime se ies IFM* and IPC* o he pe iod 1870-2010.
Figu e 4. Pai wise sca e plo o he USLE R ac o and he RA ime se ies o he pe iod
1991-2010.
Figu e 5. Tempo al e olu ion o RA in he SW Ibe ian Peninsula.
Figu e 6. E olu ion o he accumula ed de ia ions wi h espec o he a e age RA.
Figu e 7. Mobile a ia ion o he RA coe icien o pe iods o ele en yea s wi h he
end line o he en i e pe iod analysed and ha o he maximum ela i e alues.