CN109632836B - The recognition methods of underground reservoir hydrologic cycle information based on tritium gradient - Google Patents

The recognition methods of underground reservoir hydrologic cycle information based on tritium gradient Download PDF

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CN109632836B
CN109632836B CN201811374295.3A CN201811374295A CN109632836B CN 109632836 B CN109632836 B CN 109632836B CN 201811374295 A CN201811374295 A CN 201811374295A CN 109632836 B CN109632836 B CN 109632836B
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tritium
gradient
underground reservoir
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activity
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CN109632836A (en
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陈静
钱睿智
杭庆丰
万程炜
衣鹏
龚梦
熊岭
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Jiangsu Province Hydrology And Water Resources Investigation Bureau
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    • GPHYSICS
    • G01MEASURING; TESTING
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    • G01V5/00Prospecting or detecting by the use of ionising radiation, e.g. of natural or induced radioactivity
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
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Abstract

The recognition methods of underground reservoir hydrologic cycle information provided by the invention based on tritium gradient, step has the tracer by known tritium activity to put into specific underground reservoir, tritium activity is measured to specific water-bearing layer and draws tritium activity sequence curve, divide tritium activity temporal change characteristic, the set of curves that theoretical tritium gradient changes with decay time, it calculates the reference tritium gradient of underground reservoir and marks and obtain corresponding gradient curve into set of curves, then the practical tritium gradient of calculating is marked on gradient curve and obtains the mean residence time in the water-bearing layer.The recognition methods has perfect physical background support, and operation clear route is clear, be capable of quantitative judge underground reservoir a variety of hydrologic cycles it is stagnant when and rate information, analysis result credibility is higher, can also predict the tritium activity situation of change of the following underground reservoir.

Description

The recognition methods of underground reservoir hydrologic cycle information based on tritium gradient
Technical field
The invention belongs to hydrogeological field, the hydrology that underground reservoir is determined based on tritium gradient is concretely related to The technical method of cycle specificity and relevant parameter information.
Background technique
Over 30 years, radioactive isotopes geochemical method is widely used in the research in geohydrology field.It surveys Determine and the tritium activity for analyzing underground reservoir can effectively help to understand that underground hydrological recycles.In underground water tritium (3H) ingredient The artificial nuclear test being mainly derived between 1950-1970, the continual recharge groundwater of Atmospheric precipitation are each to be filled with The tritium in a age, therefore, underground water tritium activity are considered the natural food essence agent of the recharge of ground water.In particular, the same position of tritium Plain chemical property is very stable, and decay period is 12.43.Currently, being believed using the hydrologic cycle that tritium activity obtains underground water There are some problems in the method for breath, first is that the initial tritium activity of underground water is difficult to determine, second is that the mixed influence at water source tritium Activity signal.Determining year calculation method mainly and having Piston Model (PFM) for present underground water, mixes model (EM) and linear model entirely (LM);In PFM, basic assumption is that different streamlines suffer from the same residence time, ignores the diffusion motion and hydrodynamic(al) of molecule Power distribution;Different streamlines suffer from the same residence time in EM, do not consider the mixing of streamline;Only by the delay of streamline in LM Time makees linearly increasing consideration.When the water-bearing layer tritium activity of test is lower, the calculated result of these models can all exist very big Uncertainty, and the groundwater age being calculated is also the age on a rough average in entire water-bearing layer, aqueous for judging The Environmental Isotopes as Tracers of Hydrological of layer is difficult to provide the information of intuitive science, it is therefore desirable to further research.
Summary of the invention
In order to solve the deficiencies in the prior art, the present invention provides a kind of underground reservoir hydrology based on tritium gradient Tritium activity is considered as the isotopic tracer naturally inputted by the recognition methods of cyclical information, proposes the calculating side based on tritium gradient Method and tritium activity curve are combined analysis, so as to realize the time for accurately identifying institute's Study of The Underground water-bearing layer hydrological variation Response, provides new technical method for Study of The Underground water-bearing layer hydrologic cycle.
To solve the above problems, the present invention specifically uses following technical scheme:
The recognition methods of underground reservoir hydrologic cycle information based on tritium gradient, which comprises the following steps:
Step 1: being a by a certain number of known tritium activities0T0Tracer put into underground reservoir;
Step 2: under underground reservoir certain time interval, acquiring underground reservoir sample, measure immediately corresponding Tritium activity;
Step 3: plot step 2 obtains the tritium activity sequence curve of sample, divides tritium activity temporal change characteristic, including tritium Activity is detained time started SRT, tritium activity is detained mid-term time MRT, tritium activity peak value goes out current moment PT, tritium activity maximum is detained Time LRT and tritium activity peak value formation last PFT, be inferred to underground reservoir a variety of hydrologic cycles it is stagnant when and rate letter Breath;
Step 4: theoretical tritium gradient calculates: selecting different tritium activity initial value aT0Calculate corresponding theoretical tritium gradient Tg, And suitable decay time t step-length is set, theoretical tritium gradient T is drawngSet of curves, that is, the T changed with decay time tg_ t curve Cluster;
Step 5: utilizing the tritium activity aT of sampling determination for the first time in step 21With the tritium activity aT of last time sampling determination2 Calculate separately the reference tritium gradient T of underground reservoirg_TWith practical tritium gradient Tg_O:
Step 6: underground reservoir tritium gradient trend curve determines: by the reference tritium gradient T of underground reservoirg_TIt marks into step T in rapid 4g_ t set of curves inquires its corresponding Tg_ t curve;
Step 7: the underground reservoir hydrologic cycle period calculates: the practical tritium gradient T that step 5 is acquiredg_OIt substitutes into step T obtained in 6g_ t curve finds out corresponding time ta, taThe as mean residence time of the underground reservoir.
The recognition methods of underground reservoir hydrologic cycle information above-mentioned based on tritium gradient, which is characterized in that the step The tritium activity a of tracer in rapid 10T030TU should be greater than, the quantity of the tracer is 1-5 liter.
The recognition methods of underground reservoir hydrologic cycle information above-mentioned based on tritium gradient, which is characterized in that the step Time interval in rapid 2 is 15-30 days, and the duration is 120-360 days.Low background liquid is selected in tritium activity test in the step 2 Dodge instrument and its preprocessing system (model: Tri-Carb 3170TR/SL), precision 0.1TU;
The recognition methods of underground reservoir hydrologic cycle information above-mentioned based on tritium gradient, which is characterized in that the step Tritium activity sequence curve in rapid 3 is a series of smoothed curve for passing through sampling points, and the ordinate of sampling point is underground reservoir The tritium activity of sample, abscissa are the underground reservoir sample corresponding time, and wherein the time is the corresponding tritium activity of 0 moment curve For (a0T0+aT1)/2。
The recognition methods of underground reservoir hydrologic cycle information above-mentioned based on tritium gradient, which is characterized in that the step Tritium activity in rapid 3 is detained time started SRT, tritium activity is detained mid-term time MRT, tritium activity peak value goes out current moment PT, tritium is living Degree maximum residence time LRT and the formation of tritium activity peak value last PFT and are divided by graphical method;Wherein, SRT is that peak value starts shape At time, MRT is the intermediate value that SRT arrives peak value time of occurrence, and MRT=(PT-SRT)/2, LRT initially forms peak value for peak value The time of end, PFT are the time that peak value initially forms peak value appearance, PFT=LRT-SRT.Wherein, SRT indicates specific When water-bearing layer is stagnant for the response of external world's supply, MRT indicates specific water-bearing layer for the response speed of external world's supply, and LRT refers to Show water flow movement lasts by the maximum in specific water-bearing layer, and PFT indicates the time of specific water-bearing layer circulation.
The recognition methods of underground reservoir hydrologic cycle information above-mentioned based on tritium gradient, which is characterized in that the step Theoretical tritium gradiometer in rapid 4 is specific as follows: selecting different tritium activity initial value aT0Calculate corresponding theoretical tritium gradient Tg:
In formula, TgFor theoretical tritium gradient, atT is the tritium activity of underground reservoir, and t is decay time,
atT=aT0×e-t/17.93 (2)。
The recognition methods of underground reservoir hydrologic cycle information above-mentioned based on tritium gradient, which is characterized in that the step Different tritium activity initial value aT is selected in rapid 40For 30TU, 40TU, 50TU, 60TU, 70TU, decay time t step-length is 0.5-3 Year.
The recognition methods of underground reservoir hydrologic cycle information above-mentioned based on tritium gradient, which is characterized in that the step The reference tritium gradient T of underground reservoir is calculated in rapid 5g_TWith practical tritium gradient Tg_OConcrete operations it is as follows: will sample for the first time with The tritium activity of last time sampling determination is denoted as aT respectively1、aT2, the corresponding sampling time is T1、T2, calculate separately underground The reference tritium gradient T in water-bearing layerg_TWith practical tritium gradient Tg_O:
atT2=aT1×e-t/17.93 (5)
T=T2-T1 (6)。
The recognition methods of underground reservoir hydrologic cycle information above-mentioned based on tritium gradient, which is characterized in that the step By T in rapid 6g_TMark the T in step 4gThe operation of _ t set of curves is: enabling y=Tg_T, x=T2-T1, in TgIn _ t set of curves, most Curve close to the point (x, y) is corresponding Tg_ t curve.Pass through the TgThe tritium activity in the following specific water-bearing layer can be predicted in _ t curve Situation of change.
Beneficial effects of the present invention:
1, technical principle has perfect physical mechanism, and by way of manually launching tritium activity tracer, monitoring underground contains The changing course situation of water layer tritium activity reflects the hydrologic cycle process of underground reservoir;
2, operation clear route is clear, and comprehensive multi-source information identifies that tritium activity changes, according to tritium activity sequence curve and Tritium gradient trend be capable of quantitative judge underground reservoir a variety of hydrologic cycles it is stagnant when and rate information;
3, analysis means are comprehensive, and analysis result credibility is higher, not only can accurately obtain the water of current underground reservoir Literary cycle specificity can also predict the tritium activity situation of change of the following underground reservoir, provide science for following correlative study With reference to.
Detailed description of the invention
Fig. 1 is the flow diagram of the recognition methods of the underground reservoir hydrologic cycle information based on tritium gradient;
Fig. 2 is the tritium activity sequence curve figure of a certain underground reservoir of Yellow River source;
Fig. 3 is a certain underground reservoir theory tritium gradient T of Yellow River sourcegSet of curves (the T changed with decay time tg_t Set of curves);
Appended drawing reference is as follows: 1-tritium activity is detained time started (SRT), and 2-tritium activities are detained mid-term time (MRT), 3-tritium activity peak values go out current moment (PT), 4-tritium activities maximum residence time (LRT), 5-theoretical tritium gradient TgWhen with decay Between t change set of curves (Tg_ t set of curves), 6-refer to tritium gradient Tg_T, 7-refer to tritium gradient Tg_TCorresponding Tg_ t curve, 8-practical tritium gradient Tg_O
Specific embodiment
The invention will be further described in the following with reference to the drawings and specific embodiments.
The present embodiment is the artificial dispensing tritium activity tracer using a certain underground reservoir of Yellow River source as research object, Timing measures the tritium activity of underground reservoir, the hydrologic cycle information of comprehensive identification underground reservoir.
The recognition methods of underground reservoir hydrologic cycle information based on tritium gradient, as shown in Figure 1, including following specific step It is rapid:
Step 1: being a by 3 liters of known tritium activity0T0The tracer of=60TU is put into specific underground reservoir;
Step 2: to the specific underground reservoir every 15 days acquisition water samples, selecting Low background liquid scintillation instrument and its pre-treatment system It unites (model: Tri-Carb 3170TR/SL), precision 0.1TU measures corresponding tritium activity immediately, and records after sampling;
Step 3: the corresponding tritium activity sequence curve of plot step 2, as shown in Figure 2;It divides tritium activity and is detained the time started (SRT), tritium activity is detained mid-term time (MRT), and tritium activity peak value goes out current moment (PT), tritium activity maximum residence time (LRT), The formation of tritium activity peak value lasts (PFT).Wherein, SRT is the time that peak value initially forms, and MRT is SRT to peak value time of occurrence Intermediate value (MRT=(PT-SRT)/2), LRT are that peak value initially forms the time that peak value terminates, and PFT is that peak value is initially formed to peak When the time that value occurs, PFT=LRT-SRT, and SRT indicate that specific water-bearing layer is stagnant for the response of external world's supply, MRT instruction The response speed that specific water-bearing layer feeds the external world out, LRT indicate that water flow movement is lasted by the maximum in specific water-bearing layer, PFT indicates the time of specific water-bearing layer circulation;It is as shown in table 1:
Table 1
SRT (day) MRT (day) PT (day) LRT (day) PFT (day)
Underground reservoir 1 30 30 90 120 90
Step 4: theoretical tritium gradient calculates: selecting different tritium activity initial value aT0(30,40,50,60,70TU) it calculates Corresponding theory tritium gradient:
In formula (1), TgFor tritium gradient, atT is the tritium activity of underground reservoir, and t is decay time,
Wherein, atT=aT0×e-t/17.93 (2)
Decay time t (step-length is 1 year) is set, theoretical tritium gradient T is drawngSet of curves (the T changed with decay time tg_t Set of curves), as shown in Figure 3;
Step 5: being denoted as aT respectively with the tritium activity of last time sampling determination for sampling for the first time in step 21= 20.56TU、aT2=19.99TU, corresponding sampling time are T1、T2, interval time is 1 year;Underground reservoir tritium gradient It calculates: calculating separately the reference tritium gradient T of underground reservoirg_TWith practical tritium gradient Tg_O:
T=T2-T1=1y (5)
atT2=aT1×e-t/17.93 (6)
Step 6: underground reservoir tritium gradient trend determines: by y=Tg_T=2.18, x=T2-T1=1y, is marked in step 4 Tg_ t set of curves inquires it near corresponding Tg_ t curve, as shown in figure 3, aT0The T of=60TUg_ t curve is closest;
Step 7: the underground reservoir hydrologic cycle period calculates: by y=Tg_O=0.562 substitution is resulting in step 6 aT0The T of=60TUg_ t curve finds out corresponding time ta=4.3 years, the mean residence time in the specific water-bearing layer was 4.3 years.
Result verification: determining annual bearing combination geology water pumping experiment according to 14C the study found that the averaging loop in the water-bearing layer is all Phase is 4.43, the mean residence time in the very close obtained water-bearing layer of step 7, and the T acquired using step 6g_t Curve can predict the tritium activity situation of change in underground reservoir future.
Basic principles and main features and advantage of the invention have been shown and described above.The technical staff of the industry should Understand, the present invention is not limited to the above embodiments, and the above embodiments and description only describe originals of the invention Reason, without departing from the spirit and scope of the present invention, various changes and improvements may be made to the invention, these changes and improvements It all fall within the protetion scope of the claimed invention.The claimed scope of the invention is by appended claims and its equivalent circle It is fixed.

Claims (7)

1. the recognition methods of the underground reservoir hydrologic cycle information based on tritium gradient, which comprises the following steps:
Step 1: being a by a certain number of known tritium activities0T0Tracer put into underground reservoir;
Step 2: under underground reservoir certain time interval, acquiring underground reservoir sample, it is living to measure corresponding tritium immediately Degree;
Step 3: plot step 2 obtains the tritium activity sequence curve of sample, divides tritium activity temporal change characteristic, including tritium activity It is detained time started SRT, tritium activity is detained mid-term time MRT, tritium activity peak value goes out current moment PT, the tritium activity maximum residence time LRT and tritium activity peak value formation last PFT, be inferred to underground reservoir a variety of hydrologic cycles it is stagnant when and rate information;
Step 4: theoretical tritium gradient calculates: selecting different tritium activity initial value aT0Calculate corresponding theoretical tritium gradient Tg, and Suitable decay time t step-length is set, theoretical tritium gradient T is drawngSet of curves, that is, the T changed with decay time tg_ t set of curves,
In formula (1), TgFor theoretical tritium gradient, atT is the tritium activity of underground reservoir, and t is decay time,
Wherein, atT=aT0×e-t/17.93(2);
Step 5: utilizing the tritium activity aT of sampling determination for the first time in step 21With the tritium activity aT of last time sampling determination2And The corresponding sampling time is T1、T2, calculate separately the reference tritium gradient T of underground reservoirg_TWith practical tritium gradient Tg_O, tool Body is,
It is denoted as aT respectively with the tritium activity of last time sampling determination by sampling for the first time1、aT2, the corresponding sampling time is T1、T2, calculate separately the reference tritium gradient T of underground reservoirg_TWith practical tritium gradient Tg_O:
atT2=aT1×e-t/17.93(formula 5)
T=T2-T1(formula 6);
Step 6: underground reservoir tritium gradient trend curve determines: by the reference tritium gradient T of underground reservoirg_TIt marks in step 4 Tg_ t set of curves inquires its corresponding Tg_ t curve;
Step 7: the underground reservoir hydrologic cycle period calculates: the practical tritium gradient T that step 5 is acquiredg_OIt substitutes into step 6 Resulting Tg_ t curve finds out corresponding time ta, taThe as mean residence time of the underground reservoir.
2. the recognition methods of the underground reservoir hydrologic cycle information according to claim 1 based on tritium gradient, feature It is, the tritium activity a of the tracer in the step 10T0Greater than 30TU, the quantity of the tracer is 1-5 liter.
3. the recognition methods of the underground reservoir hydrologic cycle information according to claim 2 based on tritium gradient, feature It is, the time interval in the step 2 is 15-30 days, and the duration is 120-360 days.
4. the recognition methods of the underground reservoir hydrologic cycle information according to claim 3 based on tritium gradient, feature It is, the tritium activity sequence curve in the step 3 is a series of smoothed curve for passing through sampling points, and the ordinate of sampling point is The tritium activity of underground reservoir sample, abscissa are the underground reservoir sample corresponding time, and wherein the time is 0 moment curve pair The tritium activity answered is (a0T0+aT1)/2。
5. the recognition methods of the underground reservoir hydrologic cycle information according to claim 4 based on tritium gradient, feature It is, the tritium activity in the step 3 is detained time started SRT, tritium activity is detained mid-term time MRT, tritium activity peak value occurs Moment PT, tritium activity maximum residence time LRT and the formation of tritium activity peak value last PFT and are divided by graphical method;Wherein, SRT For the time that peak value initially forms, MRT is intermediate value of the SRT to peak value time of occurrence, and MRT=(PT-SRT)/2, LRT opens for peak value Begin to form the time terminated to peak value, PFT is the time that peak value initially forms peak value appearance, PFT=LRT-SRT.
6. the recognition methods of the underground reservoir hydrologic cycle information according to claim 5 based on tritium gradient, feature It is, different tritium activity initial value aT is selected in the step 40For 30TU, 40TU, 50TU, 60TU, 70TU, decay time t Step-length is 0.5-3.
7. the recognition methods of the underground reservoir hydrologic cycle information according to claim 6 based on tritium gradient, feature It is, by T in the step 6g_TMark the T in step 4gThe operation of _ t set of curves is: enabling y=Tg_T, x=T2-T1, in Tg_t In set of curves, the curve closest to the point (x, y) is corresponding Tg_ t curve.
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Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
GB8427451D0 (en) * 1983-11-01 1984-12-05 British Petroleum Co Plc Fluid monitoring system
CN103197039A (en) * 2013-03-15 2013-07-10 陈秋阳 Field underground water dispersion test method in artificial flow field
CN103776852A (en) * 2013-05-15 2014-05-07 向才富 Age determining method for curtain fluid movement history under low temperature background condition (0 to 60 DEG C)
CN106153848A (en) * 2016-08-19 2016-11-23 中国科学院地质与地球物理研究所 The method determining quality of groundwater background value

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
GB8427451D0 (en) * 1983-11-01 1984-12-05 British Petroleum Co Plc Fluid monitoring system
CN103197039A (en) * 2013-03-15 2013-07-10 陈秋阳 Field underground water dispersion test method in artificial flow field
CN103776852A (en) * 2013-05-15 2014-05-07 向才富 Age determining method for curtain fluid movement history under low temperature background condition (0 to 60 DEG C)
CN106153848A (en) * 2016-08-19 2016-11-23 中国科学院地质与地球物理研究所 The method determining quality of groundwater background value

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