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RECENT RESEARCH BY IGCP 299 PARTICIPANTS
ROUND TABLE ON SPACE AND SOLAR INFLUENCE ON THE
ENVIRONMENT
Y.Shopov (Bulgaria)
The problem of space and solar influences on the
environment has been dis-cussed in the past in the framework of several
ICSU bodies like SCOSTEP and COSPAR and in international institution
as the International Center for Theoretical Physics and the International
Center for Earth and Environment Sciences. A meeting was held in Rozhen , Bulgaria to
discuss this problem , September , 1990.
The relevant value of the international efforts
represented by the International Geosphere- Biosphere Program
(IGBP) and the Solar-Terrestrial Energy Program (STEP) was
recognized and their scopes were reviewed. The lack of sufficient atten-tion to the
problem of solar variability and space effects on the earth environment in
these programs was pointed out. This particular problem was analyzed.
The evidences of statistical correlation between solar variability and lower
atmosphere parameters were discussed recognizing the need for a careful scientific
search for confirmation of these types of statistical results and an
understanding of the possible physical mechanism involved.
Other aspects discussed were those related to the possible solar variability
and space influences on the solid earth , oceans and the biosphere. The need for
serious scientific efforts in exploring all routes to prove or disprove the
existence of such influences was stressed.
In summary , the importance of the definition and understanding of the
possible mechanisms by which solar energy variations and space conditions can
influence the earth environment was stressed.
The scientists attending the meeting decided to make the following
reco-mmendations:
1. The relationship between the international programs IGBP
and STEP should be increased making use of all possible
means to establish the necessary interface between them ,
including the possibility to set up an adhoc working group on the subject with clear term
of reference.
2. This interface should consider in particular the problem of the solar
variability and space influence on the earth environment : the atmosphere , the
solid earth , the oceans and biosphere.
3. The study of these influences should include the analysis of possible earth
paleoeffects of those external factors by means of dendrochronological , cosmogenic
radio-nuclides variations , luminescence of speleothems and fossil records in
sedi-ments and other similar studies.
4. Solar-terrestrial relationships should include new methodological
approaches for the study of the environment in a systematic way. These new
studies should start from the investigation of the
atmospheric system interactions.
5. The recommended actions should be carried out in a truly international context
including the active participation of developing countries.
6. This participants should take into account the existence of projects
like the International Center for Earth and Environmental Sciences
, being established in Trieste , Italy , by UNIDO , that could promote ,
coordinate and integrate the parti-cipation of
scientists from developing countries in international
programs.
A NEW METHOD FOR DATING OF NATURAL MATERIALS WITH
PERIODICAL MACROSTRUCTURE BY AUTHOCALIBRATION AND 1ST APPLICATION FOR STUDY OF THE SOLAR
ACTIVITY IN THE PAST
Y.Y.Shopov , V.Dermendjiev , G.Buyukliev(Bulgaria)
A new method for perfect dating of natural
materials with periodical macro-structure and with annual or
daily cyclicity in their formation (like Trees , bottom sediments
, fossils , corals , speleothems and others) by autocalibration is
proposed. The base of this " Autocalibration dating " is the determination
of the growth rate of the sample by power spectral analysis of time
serial of given property of the sample having
periodical cyclic recurrence. This time serial are obtained by scanning of a cross section
of the investigated material. Advantages of the proposed method are
its high precision independent of the age of the sample and its applicability
for dating of all natural materials with periodical macrostructure having
characterizing values , displaying annual or daily cyclic recurrence. Some typical
properties of the solar cycle are determined in
the luminescent time serial of cave flowstones from Bulgaria.
To clarify the cyclic recurrence of the short-time variations of
the climate and solar activity (SA) the method Laser Luminescent
Micro Zonal Analysis(LLMZA) was proposed.
Preparation of time serial with very different resolution (which can vary more
than 1000 times) and different periods become
available with the elaboration of this method , which allows research of
either long or short-time minima and maxima of the SA and general statistical comformities
of the cyclic recurrence of the SA.
Up to now exists information for cycles of solar activity from direct measure-ments for
240 years , data from dendrochronology of tree rings for 7400 years ago with resolution 1
yr , and 14C data for the last 10000 yrs. After calibration with these
data , the LLMZA method can be used for obtaining such information with
higher resolution (up to 3 days) from up to several millions years ago (the age of
the oldest flowstones).
The aim of this work is to develop an useful method for calibration of high
resolution time seria by ages on the example of the time seria of a new indirect
solar activity index: "Intensity of Luminescence of the Microzones of Cave
Flowstones".
The main cycle of the SA , is 11 annual cycle. It is named solar
cycle , because it is habitual for all phenomena and indexes of the solar activity
(SA). We study the properties of the SA by the Intensity of Luminescence of the Cave
Flowstone Micro-zones. This index is in anticorrelation
with the index "deposition rate" of 14C
(Fig.1) and in direct correlation with the solar activity as the thermoluminescent
time series of sediment cores. The luminescence of the calcite cave
flowstones at Laser irradiation is activated usually by organic admixtures.The
luminescent centres in cave flowstones are organic molecules which pene-trated into
cave from products of life processes of plants , growing over caves. The
quantity of this products coming from photosynthesis strongly depends on
the solar irradiation. Therefore intensity of luminescence of cave flowstones
have revealed a strong annual cyclicrecourrence (independently of that cave
flowstones usually have no visible annual rings). Its allows to
calculate the mean annual growth rate of the flowstone , by determination
of the linear length of the mean annual period in the cross
section by power spectral analysis.
Fig.1 Comparison of LLMZA with 14C
data:
a)luminescence time serial of cave flowstone with resolution 5 yrs/px. obtained by SHOPOVS
method(1988); b)inverse curve of 14C data and its interpolation c)as a
long-term solar activity envelope (of possible sunspot cycles) by EDDY(1978).
The intensity of luminescence of the microzones in cave
flowstones is deter-mined mainly by the SA during the formation of
corresponding zone. This way the curve of intensity of its luminescence in
dependence of the distance from the spe-leothem surface will present a time
series of the changes of the past SA versus the age of rings in the flowstone.
The paleoclimate can have only a feeble influence over the width of the zones. After
formation of the corresponding zone it is safe from further actions and
saves information for the SA during its formation. It is conformed by
the series which show well pronounced 11-yrs cycles by which form
of general properties of the Solar Activity can be obtained.
Luminescent time serial was obtained by irradiation of a polished
cross section of cave flowstone with N2-Laser and photography of its
luminescence through a microscope. The obtained negative was developed
with a scanning microdesito-meter with automatical transformation of the
density of blacking of the emulsion in digital form with recording on magnetic type
and drawing on plotter.
An example of a luminescent time seria with resolution of 125 px/yr
is shown in Fig.2. Density of blacking of the emulsion of the negative, which
is proportional to the concentration of luminescent organic molecules is
placed on the axis of ordinates , and the number of the
measurements(pixels, which number is proportional to the age of the flowstones and 1 pixel
is a time step of the series) is placed on the abscissa axis. The
annual cycle is good visible in this 33 years long time
series. All shown time seria are obtained from a cave flowstone from Bulgaria.
Fig.2 LLMZA curve of the season climatic
variations with , resolution 3 days(125 px/yr)
To study the periods of the periodical macrostructures of the sample
with a proper statistical accuracy, we regard this data as a time
series(time dependent process) and use the method of mathematical power spectral
analysis.
Fig.3 LLMZA curve with resolution 2.4 months
, (4.74px/yr).
The obtained ( from the luminescent time series
shown in Fig.3 ) power spectrum after using of high frequency
filter is shown in Fig.4. It shows that by this way we can reliably determine the
annual growth rate of the sample. This spectrum shows that during 750
yrs(length of developed time series) the annual growth rate of the speleothem were
constant, because the annual peak in the power spectrum of this time seria is single
and very narrow. Therefore power analysis of the luminescent time series can
be used for prefect dating of the sample. If we know approximately the average
annual growth rate of the speleothem (obtained from its absolute dating) we
can indentified the annual pl44 peak in the power spectra of its luminescent
time seria and we can determine the perfect annual growth rate of the sample
from the position of this peak. If we know the linear dimensions of the developed
time seria we can determine the perfect relative age of each part of
this piece of the sample. If the speleothem grew without interruptions
up to the time of getting the sample we can determine absolute age of the sample.
Fig.4 A)High frequency filtered spectra of
LLMZA time series for 720 yrs from Fig.3; B)power spectrum of the Wolf numbers time seria
obtained from direct measurements of the Sun spots. (RIVIN, 1989).
In our case we know from previous ESR dating that the average growth
rate of investigated flowstone is about 1.70±0.2 micrometers/yr
but from the position of the annual peak we determine the
perfect annual growth rate of 1.58 micrometers/year.
The splittings of the 11-annual SA peak, observed in Fig.4.A, are due to the
availability of binary, singular, three-and four-cyclic 11 years cycles
with different lengths. The intensity and position
of this peaks are indentical to that obtained from RIVIN from the
power spectrum(Fig.4.B) of the Wolf numbers time seria (obtained from direct measurements
of the Sun spots).
Periods of 11(13.3; 10.4 and 8.8), 1 and 2 yrs were determined by power
spectra (Fig.4.A) of time seria with resolution 4,743 px/yr.
We named this dating approach as "Autocalibration Dating". The
advantage of the proposed method is its high precision independent of
the age of the sample. Our opinion is that it is applicable for
relative dating of all natural materials with periodical
macro-structure having characterizing values (like extinction,
intensity of luminescence or thermoluminescence,
concentration of given ion or others), displaying annual or
daily cyclic recourrence (including samples without visible annual rings) like
rhytmites, sea and lake cores, plant fossiles, cave flowstones, trees and others,
and for absolute dating if it grew till now.
HYDROGEOCHEMICAL PATTERNS AND MATHEMATICAL
CORRELATIONS IN KARST AT THE EXAMPLES OF CUBA
J.R.Fagundo Castillo and J.E.Rodriguez Rubio (Cuba)
Introduction
In this paper, the hydrogeochemical patterns of some karst and non
karstic waters from Cuba , as well as the mathematical correlations
between ionic contents and electric conductivity of
the waters, are presented. Anthropogenic
on karst are also discussed in terms of variations
in mineralization , hydrogeochemical patterns and mathematical relationship in the
long run.
Materials and Methods
As criterion of good mathematical agreement we use in this
paper the similarity index SI defined by:

where:
R1: relation between the ionic concentration obtained by chemical
analysis and modeling;
R2: relation between each ion and the total sum of ions.
Further control of chemical composition of waters can be made by means of the
corresponding mathematical equations and the measurement "in
situ" of electric conductivity. The theory which support the use of
referred computer programs has been recently reported ( Fagundo , 1990).
The hydrogeochemical patterns are represented in this paper by means of
the diagrams proposed by Stiff(1951) and the stecheometric relations Na++K+:Ca2+:
Mg2+:Cl-:HCO3-:SO42- ,
where the sum of anions and cations are both equal to 10 meq/1.
Results and Discussion
In order to study the physical chemical behaviour of the karst waters ,
its hydro-geochemical patterns and changes developed by the effect of natural
and anthro-pogenic factors , two typical Cuban karst areas were chosen : San
Marcos river basin in Sierra del Rosario and the developed karst in southern
plain , both in Pinar del Rio province , representatives of mountain and coastal
plain tropical karst , respectively.
San Marcos River Basin
The lithology and the water flow conditions are the major
factors that determine the chemical composition of the waters
and the hydrogeochemical patterns. We can distinguish the following
water types: sodium calcium hydrocarbonate for waters
from the sedimentary-effusive rocks , magnesium hydrocarbonate
for the waters which originate in the ultrabasic massif , and
calcium hydrocarbonate for that waters which flow in the karst areas (at the
source , caves , exsurgences and springs from the saturation zone ).
Finally , there are waters of calcium sulphate type from the karst deep
drainage (deep phreatic zone).
These waters change the absolute chemical composition as a consequence of the rain
regime , but practically do not undergo changes in its
relative chemical composition. The ion stecheometric relations are the same
for each sample. Similar bahaviour in other systematic sampling points in
other regions was observed.
The hydrogeochemical patterns of the waters from San Marcos basin in terms of the
corresponding stecheometric relations, appear in Tab.1.
Linear equations were obtained when concentration in each ion and electric conductivity
data were fitted. The slopes of the corresponding regression
equations are also listed in Tab.1. The magnitude of the slopes are functions of the
ionic concentrations of the waters and the local lithology.Three
hydrogeochemical patterns characterize all karst waters of the basin and there are other
two for the non karstic waters.
The mean similarity index between real and theoretical values
of the chemical composition is also expressed for each type of water in Tab.1.
Pinar del Rio Southern Coastal Karstic Plains
In the southern part of Pinar del Rio province , there are
a great karst massif constituted by Miocene limestones , partially
dolomitized and occasionally covered by Quaternary sediments. In this area , a
rich aquifer occurs whose recharge zone is in the premountains region at the
North , and it is freely discharged to the sea at the South. The waters in the
aquifers are of calcium hydrocarbonate type in the zone non
affected by the seawater mixing. Toward the coast , some hydrochemical facies occur
as the result of the mixing between fresh and marine waters. They are stratified along the
vertical profile of each well and a horizontal profile across the aquifers
(Arellano and Fagundo , 1985).
There are also different modes of water chemical evolution in this region , which depend
on the dolomitization degree of the sampling site inside the
aquifer. In such conditions different contents of magnesium for
the same seawater mixing level exist. We have observed
at least , four chemical evolution paths for the waters of
these regions as well as for other coastal karst aquifers in Cuba.
We have occasionally observed changes in the original hydrogeochemical patterns in
some sampling points (well) in the long run. Generally , it is due to
a decrease in the rain regime and/or an increase in
the aquifer overexploitation. In this case , the mineralization and NaCl
salinity showed a progressive increase during the observational period. The
additional quantity of foreign ions as Na+ , K+ and Cl-
in hydrocarbonate water increase calcite and dolomite solubility
and considerable quantity of carbonate rock can be dissolved from the aquifer.
In this type of water the corresponding fitting of the ion contents and
electric conductivity data is more significant for the second degree
than linear equations if all the data are processed. Better results can be obtained
processing the data corresponding to each hydrogeochemical pattern(see table 2).
In this case , mathematical equations are of linear type.
Using these expresions and the electric conductivity measurement in field by
means of a conductometer connected to a 100m probe it is possible to control
the chemical composition and salinity of the waters , but we need to take into
account the range in which each sampling point reflects the
different hydrogeochemical pattern(see table 3).
Conclusions
The lithology and the water flow conditions determine the
hydrogeochemical patterns , characterized by a given stecheometric relation.
In the case of tropical karst and non karstic
waters there is , generally , one
hydrogeochemical pattern in the same sampling point , where many of the factors remain
constants. In case of underground waters there are less changes of the relative
chemical composition than in the first surface waters. A
discret number of hydrogeochemical patterns can characterize all the waters
running through the limestones.
More variability can be distinguish in coastal karst aquifers encroached by
seawaters , where waters in the aquifer are stratified along vertical and
horizontal profiles. In such cases, different chemical facies in the same well occur.
The human activity can change the natural hydrogeochemical patterns in the karst as a
consequence of the waste water input , the chemical treatment in the agriculture and
the aquifer overexploitation. In coastal karst areas , the latter
increases signifi-cantly the water salinity and the karstic processes.
In all the cases , empirical mathematical relationships were found between ionic
chemical composition and the electric conductivity of the waters. In one of the
controlling factors of the chemical composition acquisition is dominant , as for instance
, the lithology , the most accurate equations are of the linear Type , but if more
than one of these factors play the major role in the mode of chemical compo-sition
acquisition we can found that non linear equation are the better when all the data are
processed, and linear equation are the best when the corresponding data
of each hydrogeochemical pattern are separately processed.
By means of these equations and field measurements of
electric conductivity it is possible to control the water quality in terms of
chemical composition, mineralization and salinity.
Tab.1 Hydrogeochemical patterns (as a function of the stecheometric
relations); slopes of the linear relationship between ionic concentration and electric
conductivity of the water from the San Marccs river basin, and the similarity index (SI)
between real and modelling values of the chemical composition
________________________________________________________________________________
Geological environment N stecheometric relation
slope of the regression equation
SI
Na+K Ca Mg Cl HCO3 SO4 HCO3
Cl SO4
Ca Mg
Na+K
_________________________________________________________________________________________
Sedimentary-effusive 34
3 5 2
1 9 0
10.013 1.276 0.393 5.947
1.933 3.802 0.894
Ultrabasic
13 1
0 9 0
9 1 10.537
1.253 0.332 0.338 10.296
1.478 0.898
Limestones from Guajaibon
and Chiquita formations 140 2
7 1 1
8 1
8.994 1.003 1.148
7.148 7.832 1.242 0.883
Limestones from Mil
Cumbres region
27 2
7 1 1
8 1
9.57 0.912 1.405
8.751 1.005 2.131 0.893
Water from karst deep
drainage
12 2 7
1 0 1
9 0.781
0.276 7.866 6.256
1.157 1.510 0.978
_________________________________________________________________________________________
Tab.2 Hydrogeochemical patterns (as a function of the stecheometric
relations) slopes of the linear relationship between ionic concentration and electric
conductivity of the water from some wells of Pinar del Rio s outhern coastal karst aquifer
and similarity index (SI) between real and modelling value of the chemical composition
________________________________________________________________________________
Hydrogeochemical N
Stecheometric relation slope of the
regression equation
SI
pattern
Na+K Ca Mg Cl HCO3 SO4 HCO3
Cl SO4
Ca Mg Na+K
_________________________________________________________________________________________
HP1
4 2
8 0 2
8 0
6.558 1.923 0.251 6.890
0.438 1.404 0.932
HP2
5 2
7 1 4
6 0
5.609 3.541 0.227 5.884
1.000 2.493 0.923
HP3
3 4
5 1 5
5 0
4.583 4.570 0.449 4.924
1.149 3.529 0.958
HP4
4 5
4 1 6
4 0
3.685 5.421 0.419 4.008
1.229 4.218 0.945
HP5
10 5
3 2 6 4
0
3.134 6.019 0.367 3.340
1.311 4.869 0.898
HP6
4 6
3 1
7 3
0
2.436 7.487 0.406 3.121
1.618 5.590 0.936
HP7
11 6
3 1 8 2
0
1.710 7.778 0.633 2.510
1.492 6.119 0.919
HP8
21 7
2 1 8 1
1
0.986 8.055 0.574 1.604
1.400 6.611 0.931
HP9
6 7
1 2
9 1
0
0.628 8.477 0.558
1.265 1.700 6.698 0.941
HP10
7 8
1 1
9
1 0.282 8.913 0.665
0.844 1.419 7.567 0.944
__________________________________________________________________________________________
Tab.3 Electric conductivity ranges in which each well from part of the
Pinar del
Rio coastal karst aquifer reflects the different hydrogeochemical patterns
___________________________________________________________________________________
Well Deep HP1 HP2
HP3 HP4
HP5
HP6 HP7
HP8
HP9
HP10
__________________________________________________________________________________
P2
60-100 300-399 400-585
590-689 690-969 970-1219
1200-1879 1820-3779
3780-4691 4700-6000
>6000
P4 60-90
600-794 800-1279 1200-1799
1800-2449 2450-5159
5160-7000 >7000
P5 20-50
500-999 1000-1699
1700-1839 1840-4249 4250-7709
>7710
P1 70-100
400-529 530-649 650-779
780-950
P6 60-90
200-359 360-449
450-1699
1700-4000
P3 30-40
600-999 1000-1699 1700-2288
2300-2899 2900-4399
4400-8299 >8300
P7 40-70
500-849 950-4129
4130-7399
>7400 ________________________________________________________________________________
HYDROLOGY AND DYNAMICS OF THE TROPICAL KARSTIC
PROCESSES IN CUBA
J.E.Redriguez and J.R.Fagundo (Cuba)
Abstract
Since 1975 , Cuban karst hydrological and hydrochemical characteristics
and the dynamics and intensity of the karstic processes,have being investigated by a group
of Cuban specialists.
A research program in order to asses intensity of the
contemporary karstic processes in some karstic regions of the world started in 1984.
This research program is a part of the Cuban- Polish
collaboration on the International Commi-ssion for Physico-Chemical and
Hydrological Karst Research of International Union of Speleology.
The Pan de Guajaibon massif in western Cuba was chosen for this research as
an experimental representative area of the tropical lower mountain karst.
Other karstic localities in plains , hills and lower mountains were also chosen for
developing similar investigations , as validaion areas.
Some results of the hydrodynamic and hydrogeochemical characteristics of the
karstic massifs were obtained and different karst circulation regimes were found , as well
as the quantitative determination of these massifs response for rainfalls by using a
typical water debit response curves and hydrochemical composition.
Moreover , the influence of intensive tropical rains action and their
spetial and temporary distribution on the karst denudation process were studied.
The karst denudation was calculated by a hydrochemical method. Values of 40-50
and 115-130 m3/km2 year respectively were reported in Pan de
Guajaibon massif. Same values in another validation karstic areas of the
country have been determined.
Introduction
About the 65% of Cuban territory (71,500km2) is
covered by limestones from Jurassic to Quaternary age , in greater or lesser
degree affected by the karstic processes , where 85% of the underground water
reserves in the country are concentrated and the large number of rivers are
circulating in direct interaction with this geological environment.
The rainfall amount and its spatial and temporary distribution together
with other non-climatic factors , e.g. , lithology , relief , geological structure ,
hydrology and vegetation , have greatly influenced the karst
development intensity and its typology as well.
Thus , the joined occurrence and development of many karst types with different
hydrodynamical and geomorphological characteristics and
under identical climatic conditions , give place to find in Cuban
territory vasts karst plains--the most extended karst type in the country--as
well as hills , plateau and lower mountains karst types, stand out among the latter,
the cone and tower karst , which , although appear like a typical in
tropical regions , are not the most frequent in the Cuban territory.
Pan De Guajaibon Experimental Area
The Pan de Guajaibon massif is found belonging to the Northwestern
extreme part of Sierra del Rosario , Pinar del Rio province. It is a
10km2 are a composed of two parallel carbonate massifs --Pan
de Guajaibon and Sierra Chiquita-separated by an upper karstic valley.
The highest point is Guajaibon peak 692m.a.s.l.
The experimental area is drained by the San Marcos river basin and has a
pluvio-metric network with one pluviometer each 2km2 , two
gauging stations installed in the massif springs and a standard climatic
station for the air temperature and relative moisture records.
The annual and seasonal climatic mean values parametres and rainfall distribution
for the observational period in the experimental area , can be seen in
the Tab.1.
From a geological point of view , this is a very complex region , typical of the
overthrust and nappes tectonical style and composed
by a really lithological mosaic.
By using standard field methods and equipments, the hydrochemical analysis and water
PH , temperature and electric conductivity , were
measured and recorded.
From an hydrochemical point of view , all the massif circulation ,
waters are calcium-hydrocarbonate , except the waters from the allogenic feeding
zone in the northeast of the massif, which have circulated on
effusive-sedimentary rocks and are sodium-calcium-hydrocarbonate waters.
Taking into account the results of Pan de Guajaibon hydrological
characteristics , it is possible to affirm that from a hydrodynamical point of view ,
it is a merokarst massif without deep circulation below base level. Due to the
karst processes intensity and forms development , the massif runoff is fundamentally
underground and it is integrated by two continuous
karstic drainage systems-Ancon and Canilla.
The Canilla system feed is a mixture of autogenic and allogenic runoff ,
with circulation at the same level of the surface rivers Laslevel. Whereas the Ancon
system feed is totally autogenic , with suspended circulation 60 meters above the base
level.
By the means annual and seasonal discharge analysis registered during the
observational period ( see Tab.2) , the major and more regular runoff regime was
proved in Ancon system as compared with Canilla system. This is in
correspondence with the physico-geographical conditions and rainfall
distribution in both basins and consequently , the infiltration rate for
the Ancon system was higher ( 70-85%) than for the Canilla system(35-40%).
The higher and more stable waters mineralization of the Ancon system than the ones
of the Canilla is in function of the combined effect of
some hydrodynamical, lithological and microbiological factors.
According to all above mentioned , the mean annual and seasonal karstic denudation
values for the observational period (see Tab.3) are
remarkably higher in the Ancon system than in the Canilla system (115-130 and 40-50m3/km3
year respectively).
It must be emphasized that the denudation process in
Cuban tropical climatic conditions , is a continuous and seasonal
uninterrupted process during all the year and keeps up practically the same
intensity during the rainy season(60%) than during the less rainy seasons , in
function of the homogeneous spatial and temporary rainfall distribution. It does not
happen in temperate and polar latitudes where during the greatest part
of the year the karstic processes have a lower dynamics or it is practically stopped.
The karst denudation values reported in Pan de Guajaibon massif for a
complete five years hydrological cycle , give a reliable measurement of
this process intensity in the tropical Cuban lower mountain karst.
Guaso Plateau
During the Cuban-Bulgarian expedition GUASO'88 to the Guaso
Plateau mountain karst , some investigations in the upper basin of
Guaso and Bano rivers were developed , in function
of the karst massif hydrodynamical characteristics and
the preliminary evaluation of karst denudation process intensity.
The Guaso plateau is located at the North of the Guantanamo city , its area is
approximately 320km2 with absolute altitude higher than 800 meters. It is a
carbonate and intensive karstified massif with fundamentally autogenic feed , which
occur practically by all the limestones surfaces , and peripherical flow concentration ,
basically southward to the Guantanamo valley.
From a geological point of view it is a complex area , where the Eastern
Cuba Paleogeno tectonical-sedimentary changes regime are significantly marked by
the temporary sedimentation succession of the
effusive-sedimentary , carbonate , terrigenous and carbonate-terrigenous sequences.
The ultramafic and effusive sedimentary are the oldest rocks
in the investigated area , which crop out in the northern massif slope and are
covered transgresively by thick carbonate sequences of the Charco Redondo
limestones formation , which are partially covered by carbonate and carbonate
terrigenous sequences. More southward in the Guantaname valley, the limestones
of Charco Redondo limestones formation , which are partially covered by
carbonate and carbonate terrigenous sequences (Yateras and Maquey formations
respectively). More southward in the Guantaname valley , the limestones
of Charco Redondo formation continue toward the sea and are
covered on the plain by the terrigenous sequences of San
Luis formation.
For the hydrological characterization of the massif , the information from the
pluviometric network and gauging stations of the
Hidrometeorological National Service , installed in Guaso and Bano river
basins , were utilized. Moreover ,during the expedition period two portable
gauging stations were installed in the Guaso upper plateau river ponor
and resurgence.
The hydrological information analysis and water balance
results are summa-rized in the Tab.4. In the matter, the sudden diminution of
the yield and effective infiltration values , detected from the comparison among
the both Guaso upper basin gaugins station data , must be emphasized ,
as well as , the significant differences in the same parameters registered in
the hyperannual data from Guaso and Bano lower basins gauging stations.
Following the above hydrological results and observations carried out in the
Guaso plateau , different levels of superimposed drainage systems
were found there , according to the local and intermediate
baselevels relative position , defined for nonpermeable bed rocks or textural
differences into the limestones and by the amplitude , frequency and areal extension
of the drainage circuits.
Consequently , from a hydrodynamical point of view some merokarst areas
have been found in the upper part of the massif. In the rest of the plateau
area , the structural disposition of the Charco Redondo limestones and
its southward continuation below the terrigenous sequences of San Luis
formation , joint with a negative water balance detected in both basins, has
allowed to confirm the holokarst character of the massif and the deep drainage
occurrence and its circulation toward Guantanamo valley.
By using field experimental methods it was
possible to obtain a quantitative correlation among
precipitations, discharge, water mineralization and geochemical parameters. Thus the
action of the tropical rain on the waters dissolution capacity was demonstrated.
The Guaso basin karst denudation values reported during the observational period
(see Tab.5) , have been much more intensive for the first section
of head waters zone over the ponor, than for the complete upper basin,
including the second section from the ponor --to the Campanario cave
resurgence. It is due to the fundamentally different hydrodynamic charactor in both
sections , as well as other secondary factors such as: hydraulic slope, rock-water
time of contact, karst form density etc.
The estimated karst denudation annual values for Guaso and Bano
river basins are also presented in the Tab.5. As it can be expected, the Bano
basin denudation values are much greater than the Guaso basin(62 and 28 m3/km2
year , respectively). It is due to hydrodynamical and hydrochemical factors , e.g. ,
high differences in the deep infiltration losts and in water mineralization values
among both karstic systems.
According to the hydrodynamic behavior of the Guaso plateau , the annual
denudation estimated data are not reliable, mainly in Guaso basin. For
the reliable denudation measurement, further methods will be used there.
However these values give a measure of the present karst denudation values
in this Eastern Cuba lower mountain karst.
New Program: Zapata Basin
Unlike the researching program in hills and lower mountains karst areas
, a new investigation program concerning to the
process, dynamics and environmental changes in
the tropical karst of Cuba , has been started on a plain karst region:
Zapata basin, in the southern karstic plain of Matanzas province.
Zapata basin comprises all the south slope of Matanzas province. It is a complex
open sea karstic aquifer system, developed fundamentally in carbonate and
carbonate-terrigenous Miocene transgressive sequencies , which compose the major
part of the emerged area of the Cuban archipelago.
The distinctive water circulation particularities of the Zapata aquifer
system in relation to these kind of aquifers and
its relatively easy hydrodynamical behavior , depend on the presence of
the structural depression in the southern part of the basin
, filled up by carbonate Pliocene-Pleistocene deposits ,
over which , the big marsh area of Zapata Swamp has been developed.
From a hydrodynamical point of view , it obviously is a holokarst
basin with 150-200 meters of estimated karstification thickness , in
which , some aquifer levels and not less than three superposed drainage
systems are found , defined by textural differences into
the limestones and frequently interconnected by
really hydrogeological windows.
Interesting karstic processes of accelerated corrosion by mixed waters ,
saline effect and biochemical factors, occurred there , as well as the aquifer water
overexploitation, uncontrolled waste waters inputs,
agricultural intensive exploitation and other anthropogenic impacts,increase
the sea waters intrusion and the aquifer contamination processes.
The development of an international investigation program in the
Cuban plain karst areas, are very interesting from the scientifical and
practical points of view , not only within Cuban boundaries,
but also in all the Caribbean basin and Gulf of
Mexico coastal region, which have had the same geological history and evolution
from the Neogene and Quaternary and wherever , these kinds of karst plains ,
with similar hydrological and hydrodynamical characteristics can be
found.
Tab. 1 Annual climatic mean parameters values for the obersavational period in Pan de
Guajaibon Experimental Basin and its comparison with the hyperannual standards
| Parameters
Mean Values Hyperannual Standards
Representativity (%) |
| Precipitations (mm) PRI---400
1770
1900
93
PTI---222
1790
1900
94
PRI---222
1650
2000
93
PRI---02
1779
1900
94
PRI---03
1871
2000
94
Temperature (°C)
24.5
23
106
Relative moisture (%)
7:00 Hs
90
95
95
13:00 Hs
75
7075
100 |
Tab. 2 Water balance for the observational period in both karstic systems of Pan de
Guajaibon experimental basin ( Mean annual and seasonal parameters )
System
Area (km2
) Season Q (m3/s ) I (mm ) P ( mm ) IC ( % )
E ( mm )
Dry 0.071
217 760
29
543
Canilla
5.1
Rainy 0.175 545
1200
45 655
Annual 0.123 762
1960 39
1198
Dry 0.173
622 853
73
231
Ancon
4.35 Rainy
0.322 1176
1246 94
70
Annual 0.248 1798
2099 86
301
Guajaibon
Dry 0.244
403 803
50
400
Massif
9.45 Rainy
0.497 835
1221 68
386
Annual 0.371 1238
2024 61
786 |
Q debit ; Iinfiltration ; Pprecipitation ; ICinfiltration
coefficient ; Eevapotranspiration .
Tab. 3 Mean annual and seasonal karst denudation values for a complete hydrological
cycle in Pan de guajaibon experimental basin .
System Area(km2
) Season Q (m3 / s ) W ( MM3 ) Y ( l/s.km2
) EC ( uS.cm-1 ) T( mg/l) AT (mg / l ) A (m3
) D (m3 / km2 )
Dry 0.071
1.23
13.9
300
186 166
75 15
Canilla 5.1
Rainy
0.175
1.92
34.3
281
174 154
174 34
Annual
0.123 3.15
24.1
292
181 161
249 49
Dry 0.173
2.83
39.7
334
206 186
201 46
Ancon 4.35
Rainy
0.322
3.69
74.0
334
206 186
380 87
Annual
0.248 6.52
57.0
334
206 186
581 133
Guajaibon
Dry 0.244
4.07
25.8
317
197 177
271 28
Massif 9.45
Rainy
0.497
5.61
52.5
308
191 171
542 57
Annual 0.371
9.63
39.2
313
194 174
313 85 |
WTotal runoff ; YYield ; ECElectric Conductivity ; AT
, T Mineralization .
Tab. 4 Hydrological information analysis and water balance of Guaso Plateau
| Detailed water balance of Guaso upper basin for
the observational period (Jan. 20 Feb. 8 , 1988 )
Area ( km2 ) P ( mm ) Q ( m3 /s
) Y ( l /s.km2 ) W ( MM ) R=iI ( mm )
IC ( % )
Guaso Ponor
36
83 0.965
26.8
1.67
46 55
Bano basin
93
83 1.192
12.8
2.07
22 26 |
| Estimated hyperannual water balance of Guaso and
Bano river basin ( 19641987 ) .
A(km2 ) P(mm ) Q(m3 /s) Y(l/s.km2) W(MM) R=iI(mm) rI(mm)
tI(mm) IC(%) E(mm)
Guaso basin 93
1700 1.17
12.6
36.9
397
453
850 50
850
Bano basin 71
1700 1.64
23.1
51.7
728
122
850 50
850 |
i I , rI , tIIntermediate regional and total infiltration ;
Rsurface runoff .
Tab. 5 Chemical denudation of Guaso Plateau
| Guaso river basin karst denudation hyperannual
values for Guaso and bano rivers.
A(Km2) t (days) Q (m3/s)
Y(l/s.km2) W(MM) EC(uS/cm-1)
T(mg/l) AT(mg/l) A(M3) D(m3/km2.t)
Guaso Ponor
36 20
0.965
26.8
1.67
280
173 153
102
2.8
Guaso Resurgence 93
20
1.192
12.8
2.07
317
197 177
146
1.6 |
| Estimated karst denudation
hyperannual values for Guaso and Bano rivers. System
A(Km2) Q (m3/s) Y(l/s.km2)
W(MM) EC(uS/cm-1) T(mg/l)
AT(mg/l) A(M3)
D(m3/km2.t)
Guaso
93 1.17
12.6
37
317
197 177
2609
28
Bano
71 1.64
23.1
52
377
234 214
4422
62
Guaso Massif 164
2.81
17.1
89
347
215 195
6904
42 |
|