CN109255373A - A kind of data processing method of classification data number - Google Patents
A kind of data processing method of classification data number Download PDFInfo
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- CN109255373A CN109255373A CN201810974808.8A CN201810974808A CN109255373A CN 109255373 A CN109255373 A CN 109255373A CN 201810974808 A CN201810974808 A CN 201810974808A CN 109255373 A CN109255373 A CN 109255373A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/24—Classification techniques
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/25—Fusion techniques
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Abstract
The embodiment of the present invention proposes a kind of data processing method of classification data number, comprising: soil average grain diameter calculates step, calculates soil average grain diameter according to the following formula:Wherein SdiIt is the ordinal number of i-th kind of soil particle diameter, riIt is ratio shared by the soil of this partial size；The average root of ground flora calculates step deeply, calculates soil average grain diameter according to the following formula:Wherein SpiIt is the ordinal number of i-th kind of ground flora root depth, piIt is ratio shared by this ground flora；Sorting procedure carries out clustering with the data and/or parameter in other basins for deep according to the average root of soil average grain diameter continuous in basin and ground flora.
Description
Technical field
The present invention relates to technical field of data processing, more particularly, to a kind of data processing side of classification data number
Method.
Background technique
With the development of society, more and more fields all begin to use data analysis and data processing technique.Using sea
The many fields for measuring data are all handled data so that computer can be according to these data of processing.
By taking land use and soil types field as an example, these data belong to typical classification data.Wherein, soil types
It is divided into: clay, sandy soil etc.；Vegetation pattern is divided into: forest, shrub, crops, meadow etc.；These different classes of data are often
It is analyzed respectively, the incidence relation resulted between data in this way is lost.
Summary of the invention
For current classification data when carrying out data processing the incomplete incidence relation caused between data of technology
The problem of being lost, the embodiment of the present invention propose a kind of data processing method of classification data number, can be to classification number
According to being handled to excavate the order information in different types of data.
To achieve the goals above, the embodiment of the invention provides a kind of data processing method of classification data number,
Include:
Soil average grain diameter calculates step, calculates soil average grain diameter according to the following formula:
Wherein SdiIt is the ordinal number of i-th kind of soil particle diameter, riIt is ratio shared by the soil of this partial size；
The average root of ground flora calculates step deeply, calculates soil average grain diameter according to the following formula:
Wherein SpiIt is the ordinal number of i-th kind of ground flora root depth, piIt is ratio shared by this ground flora；
Sorting procedure, for deep according to the average root of soil average grain diameter continuous in basin and ground flora, with other
The data and/or parameter in basin carry out clustering.
Further, further includes:
The ginseng of corresponding multi-source precipitation data integration program and hydrological model is determined according to the geographical conditions of upper, middle and lower reaches
Numberization；
The simulation effect of the parametrization of candidate precipitation data and hydrological model is compared, with the precipitation number that determination is optimal
According to fusion and the Parameterization Scheme of hydrological model.
Further, further includes: carried out using simulation accuracy high soil particle diameter distributed model and Pedo-transfer function
The conversion of soil particle diameter and the estimation of hydrologic parameter, to construct the soil parameters library for serving Watershed Hydrologic Models simulation.
Technical solution of the present invention has the advantage that
Above scheme proposes a kind of data processing method of classification data number, can handle classification data
To excavate the order information in different types of data.
Detailed description of the invention
By with reference to the accompanying drawing to a preferred embodiment of the present invention carry out description, technical solution of the present invention and
Its technical effect will become clearer, and more easily understand.Wherein:
Fig. 1 is the flow chart of the embodiment of the present invention.
Specific embodiment
A preferred embodiment of the present invention is described below with reference to appended attached drawing.
1, the digitizing solution of classification data
In land use and soil types, there are a kind of data very common, is exactly classification data.Such as: soil types point
Clay, sandy soil etc., vegetation pattern divide forest, shrub, crops, meadow etc., and the data of these classifications often do not obtain very well
Utilization, in existing literature, people are often respectively analyzed different types, and the deficiency done so is exactly different type
The inside " order " information in secret is not well used, for example, the root of forest is deep than meadow depth；The partial size of sandy soil is than viscous
It is native big.If a kind of information of this order can and percentage information be integrated into the data of the embodiment of the present invention together, energy convection current
The earth's surface in domain, which is made, more accurately to be described.The present embodiment of the present invention defines two kinds of new data, first is that soil average grain diameter, one
It is the average root depth of ground flora., by defining order for vegetation pattern data, classification of soils data carry out scale for both
It is unified, such as the concept of soil average grain diameter:
Soil average grain diameter calculates step, calculates soil average grain diameter according to the following formula:
Wherein SdiIt is the ordinal number of i-th kind of soil particle diameter, riIt is ratio shared by the soil of this partial size；
The average root of ground flora calculates step deeply, calculates soil average grain diameter according to the following formula:
Wherein SpiIt is the ordinal number of i-th kind of ground flora root depth, piIt is ratio shared by this ground flora；In this way to Mr. Yu
For one specific basin, the feature of soil and vegetation is portrayed respectively there are two continuous variable, in this way when basin sample size
When enough, some useful information can be extracted in the embodiment of the present invention from data.
2, the applicating example of digitized classification data
After classification data number, the embodiment of the present invention by obtained continuous variable and other basin data even
Be parameter integration together, carry out the clustering of multi-source data:
Clustering the results show that the rainfall characteristics and soil average grain diameter and vegetation pattern in basin, height above sea level
Especially close relationship, it is seen that the embodiment of the present invention will select different multi-sources to drop according to the different geographical conditions of upper, middle and lower reaches
Water number is according to integration program and the Parameterization Scheme of hydrological model.Pass through the mould of several different precipitation datas and Parameterization Scheme
Quasi- effect is compared, and the embodiment of the present invention has obtained optimal precipitation data fusion relevant with subflow Domain Properties and the hydrology
The Parameterization Scheme of model.
In addition to this, the application of assimilation technique is also a kind of fusion multi-source data, makes full use of effective hand of advantageous information
Section.At present in land face, hydrological model, Ensemble Kalman Filter using very extensive.The calculating generation of Ensemble Kalman Filter
Valence is smaller, calculates flexibly, is suitble to, information source more various basin such as Yalong river valley progress sufficiently complex in topography and geomorphology
It utilizes.By the training of historical data, the embodiment of the present invention, which can choose different sub-basins, is suitble to the optimal of its feature
Assimilation scheme.
3, the building and assessment in the soil parameters library of Watershed Hydrologic Models simulation are served
Based on the national soil species data of Nanjing soil institute of the Chinese Academy of Sciences, soil needed for having inquired into Watershed Hydrologic Models modeling
The evaluation method of physical parameter and hydraulics characteristic parameter.Utilize the higher soil particle diameter distributed model of simulation accuracy and soil
Transmission function carries out the conversion of soil particle diameter and the estimation of hydrologic parameter, and then constructs and serve Watershed Hydrologic Models simulation
Soil parameters library.And in pervasive likelihood uncertainty estimation method (GLUE) frame, is simulated and imitated with representative basin hydrologic process
Fruit has evaluated the validity of soil parameters database.
Assessment is the uncertain realization by parameter under two kinds of evaluation methods of comparison in modeling.Establish two kinds
Hydrological distribution model under evaluation method: it gets parms value, i.e., 19 first is that soil parameters point three kinds of soil all pass through calibration
A parameter participates in calibration, is set as CAL_19；Second is that soil parameters is calculated by Pedo-transfer function, i.e., in addition to soil parameters
10 parameters participate in calibration, be set as CAL_10.The Posterior distrbutionp of parameter and the priori point being evenly distributed under two kinds of evaluation methods
Cloth difference is unobvious.In each soil parameters for participating in assessment, correlation is lower between most of parameter, correlation between individual parameters
The significant correlation under 0.01 significance.By the modeling effect under two kinds of evaluation methods of analysis, in CAL_10 condition
Under, the precision of modeling is higher, and uncertain index value is lower；95% confidence interval indeterminate zone is relatively narrow；Greater than critical value
The NSE value simulated of parameter group it is whole higher, i.e., there is the value ratio of maximum probability in CAL_19 in NSE under the conditions of CAL_10
Under the conditions of value it is high.By the analysis of above several angles, modeling essence can be improved using this soil parameter library parameter value
The uncertainty of model is spent and reduces, the foundation of the database has relatively strong application to the hydrologic process simulation in Yalong river valley
Value.
For person of ordinary skill in the field, with the development of technology, present inventive concept can be in different ways
It realizes.Embodiments of the present invention are not limited in embodiments described above, and can carry out within the scope of the claims
Variation.
Claims (3)
1. a kind of data processing method of classification data number characterized by comprising
Soil average grain diameter calculates step, calculates soil average grain diameter according to the following formula:
Wherein SdiIt is the ordinal number of i-th kind of soil particle diameter, riIt is ratio shared by the soil of this partial size；
The average root of ground flora calculates step deeply, calculates soil average grain diameter according to the following formula:
Wherein SpiIt is the ordinal number of i-th kind of ground flora root depth, piIt is ratio shared by this ground flora；
Sorting procedure, for deep according to the average root of soil average grain diameter continuous in basin and ground flora, with other basins
Data and/or parameter carry out clustering.
2. the data processing method of classification data number according to claim 1 characterized by comprising
The parametrization of corresponding multi-source precipitation data integration program and hydrological model is determined according to the geographical conditions of upper, middle and lower reaches；
The simulation effect of the parametrization of candidate precipitation data and hydrological model is compared, is melted with the precipitation data that determination is optimal
The Parameterization Scheme of conjunction and hydrological model.
3. the data processing method of classification data number according to claim 1, which is characterized in that further include:
Conversion and the hydrology of soil particle diameter are carried out using simulation accuracy high soil particle diameter distributed model and Pedo-transfer function
The estimation of parameter, to construct the soil parameters library for serving Watershed Hydrologic Models simulation.
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| CN103488871A (en) * | 2013-08-27 | 2014-01-01 | 国家电网公司 | Flood forecasting method for area without runoff data |
| CN103645295A (en) * | 2013-12-03 | 2014-03-19 | 中国科学院遥感与数字地球研究所 | Multilayer soil moisture simulation method and multilayer soil moisture simulation system |
| CN104268657A (en) * | 2014-09-30 | 2015-01-07 | 北京师范大学 | Drainage basin water ecological risk early warning and distinguishing method based on remote sensing |
| CN108133310A (en) * | 2017-12-11 | 2018-06-08 | 中国水利水电科学研究院 | The comprehensive estimation method that a kind of mankind's activity and climate change influence river flow |
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2018
- 2018-08-24 CN CN201810974808.8A patent/CN109255373A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103488871A (en) * | 2013-08-27 | 2014-01-01 | 国家电网公司 | Flood forecasting method for area without runoff data |
| CN103645295A (en) * | 2013-12-03 | 2014-03-19 | 中国科学院遥感与数字地球研究所 | Multilayer soil moisture simulation method and multilayer soil moisture simulation system |
| CN104268657A (en) * | 2014-09-30 | 2015-01-07 | 北京师范大学 | Drainage basin water ecological risk early warning and distinguishing method based on remote sensing |
| CN108133310A (en) * | 2017-12-11 | 2018-06-08 | 中国水利水电科学研究院 | The comprehensive estimation method that a kind of mankind's activity and climate change influence river flow |
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Application publication date: 20190122 |