CN115640491A - Method for estimating submarine bay in data-free area - Google Patents
Method for estimating submarine bay in data-free area Download PDFInfo
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- CN115640491A CN115640491A CN202211423822.1A CN202211423822A CN115640491A CN 115640491 A CN115640491 A CN 115640491A CN 202211423822 A CN202211423822 A CN 202211423822A CN 115640491 A CN115640491 A CN 115640491A
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Abstract
The invention discloses a method for estimating a submarine in a data-free area, which comprises the following steps: collecting the existing hydrogeological data in the research area; dividing a research area according to the collected data, and dividing the research area into a reliable area and a prediction area; calculating the groundwater hydraulic gradient of the groundwater aquifer in the prediction area by using an ArcGIS analysis tool; and calculating the diving space of the prediction area by using an ArcGIS analysis tool, and calculating to obtain the diving space of the fishing net point of the prediction area through neighbor analysis and minimum boundary geometry construction. Compared with the traditional direct extension method, the method for estimating the diver's position in the data-free area has the advantages of high accuracy, small error and more real spatial distribution of the diver's position.
Description
Technical Field
The invention relates to the technical field of underground water science, in particular to a method for estimating a submarine in a data-free area.
Background
The groundwater dynamic monitoring is an effective mode for mastering the basic condition of groundwater and extracting hydrological information, and has great significance for reasonable utilization of freshwater resources in China. At present, due to the reasons of natural geographic conditions, capital investment limitation and the like, the distribution of underground water level monitoring sites in a plurality of regions still has a blank, and inconvenience is brought to underground water environment monitoring, underground water resource evaluation and water resource regulation and control in the regions. The method is simple and convenient to use, but the underground water level distribution error obtained by the direct extension method is large and is not consistent with the reality, so that the problem of inaccurate water resource evaluation is caused.
Disclosure of Invention
The invention aims to provide a method for estimating the diving positions in the data-free area, which solves the problems of blank space existing in underground water level monitoring of the current data-free area and larger prediction error caused by direct extension of the underground water level, and combines the existing hydrogeological data to estimate and calculate the diving position distribution in the data-free area, thereby having the advantages of high accuracy, small error and closer calculated diving positions to real space distribution.
In order to achieve the above object, the present invention provides a method for estimating diver's seat in a data-free area, comprising the following steps:
s1: collecting the existing hydrogeological data of a research area, including collecting ground elevation (DEM) data of the research area and underground water bit data of existing observation holes;
s2: dividing a research area according to the collected data, and dividing the research area into a reliable area and a prediction area;
s3: calculating the hydraulic gradient of the groundwater aquifer underground water in the prediction area by using an ArcGIS analysis tool;
s4: and (4) calculating the diving space of the prediction area by using an ArcGIS analysis tool.
Preferably, in step S2, a reliable area is defined according to a spatial interpolation result of the underground water data, the reliable area is a closed area surrounded by the observation hole, and the areas other than the reliable area are prediction areas.
Preferably, in the step S3, the earth surface gradient and the groundwater aquifer groundwater hydraulic gradient in the reliable area are obtained by using an ArcGIS analysis tool, gradient ratio grid distribution in the reliable area is obtained by calculation, gradient ratio spatial interpolation is performed on a prediction area (observation hole-free distribution area) in the research area by using gradient ratio data obtained by calculation in the reliable area, and the groundwater hydraulic gradient of the prediction area is calculated.
Preferably, the gradient ratio is the ratio of the ground surface gradient to the hydraulic gradient of groundwater in a diving aquifer.
Preferably, in the step S4, the fishing net points are set in the research area, the density of the fishing net points can be set according to the actual research size, and then the submergence of the fishing net points in the prediction area is calculated through neighbor analysis and the minimum boundary geometry construction.
Preferably, the neighbor analysis and the minimum boundary geometry construction specifically include the following steps:
s41: selecting a plurality of fishing net points which are close to a certain fishing net point in the prediction region in the reliable region through neighbor analysis in an ArcGIS analysis tool;
s42, averaging the diving positions of the fishing net points in the reliable area in the minimum boundary geometric range, the groundwater hydraulic gradient of the diving aquifer in the minimum boundary geometric range and the distances between a certain fishing net point in the prediction area and a plurality of fishing net points which are close to each other in the reliable area.
Preferably, the submergence of a certain fishing net point in the prediction region = [ average submergence of fishing net points in the reliable region ] + [ average value of groundwater aquifer hydraulic gradient in the minimum boundary geometric range ] + [ average distance between a certain fishing net point in the prediction region and a plurality of fishing net points close to the reliable region ].
Therefore, the method for estimating the diving position of the data-free area is adopted, compared with the prior art, the defects that the underground water level of the data-free area is estimated by the traditional direct extension method, so that the error is large, the uncertainty is high, and the underground water level is not consistent with the actual hydrogeological condition are overcome, the hydrogeological data of the known area is used, an ArcGIS analysis tool is used for calculating the diving position of the data-free area, and the method has the advantages of high prediction precision, simplicity and convenience in operation, and the calculated diving position is closer to the real space distribution.
The technical solution of the present invention is further described in detail by the accompanying drawings and embodiments.
Drawings
FIG. 1 is a schematic flow chart illustrating a method of estimating divers' potential in a data-free area according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of the reliable zone determination of an embodiment of the method for estimating divers' potential in a data-free area of the present invention;
FIG. 3 is a schematic diagram illustrating a minimum boundary geometry of a method for estimating divers' potential in a data-free area according to an embodiment of the present invention.
Detailed Description
Examples
Referring to fig. 1-3, the present invention provides a method for estimating divers' potential in a data-free area, comprising the following steps:
s1: collecting the existing hydrogeological data of a research area, wherein the hydrogeological data comprises the ground elevation (DEM) data of the research area and underground water bit data of existing observation holes, the time sequence of the underground water bit data of the observation holes needs to be the same, and the DEM data can be selected from the public data with the resolution of 30 m;
s2: dividing a research area according to the collected data, dividing the research area into a reliable area and a prediction area, and dividing the reliable area according to the spatial interpolation result of underground water data, wherein the reliable area is a closed area surrounded by the observation hole, and the other areas except the reliable area are prediction areas.
S3: calculating the groundwater hydraulic gradient of the groundwater aquifer in the prediction area by using an ArcGIS analysis tool, and inputting the consolidated diving level of the reliable area and the DEM number of the research area by using a terrain gradient tool in the ArcGIS analysis toolAccording to the method, the earth surface gradient and the groundwater aquifer groundwater hydraulic gradient in the reliable area are obtained, gradient ratio grid distribution in the reliable area is obtained through calculation, the gradient ratio is the ratio of the earth surface gradient to the groundwater aquifer groundwater hydraulic gradient, the gradient ratio is set to be alpha, namely
Gradient ratio spatial interpolation is carried out on a prediction area (observation hole-free distribution area) in the research area by adopting gradient ratio alpha data obtained by calculating the reliable area, and the prediction area is obtained by calculating
S4: the method comprises the steps of calculating the diving space of a prediction area by using an ArcGIS analysis tool, setting fishing net points in a research area, and setting the density of the fishing net points according to the actual research size. And calculating to obtain the diving space of the fishing net points in the prediction area through neighbor analysis and minimum boundary geometry construction.
The method specifically comprises the following steps of neighbor analysis and minimum boundary geometry construction:
s41: selecting a plurality of fishing net points which are close to a certain fishing net point in the prediction region in the reliable region through neighbor analysis in an ArcGIS analysis tool;
s42, averaging the diving positions of the fishing net points in the reliable area in the minimum boundary geometric range, the groundwater hydraulic gradient of the diving aquifer in the minimum boundary geometric range and the distances between a certain fishing net point in the prediction area and a plurality of fishing net points which are close to each other in the reliable area.
The diving position of a certain fishing net point in the prediction region = [ the average value of the diving position of the fishing net point in the reliable region ] + [ the average value of the groundwater hydraulic gradient of the groundwater aquifer in the minimum boundary geometric range ] ([ the average distance between a certain fishing net point in the prediction region and a plurality of fishing net points close to the reliable region ].
Therefore, compared with the prior art, the method for estimating the diver's position in the data-free area has the advantages of high prediction precision, simple and convenient operation and calculation of the diver's position closer to the real space distribution.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solutions of the present invention and not for limiting the same, and although the present invention is described in detail with reference to the preferred embodiments, those of ordinary skill in the art should understand that: modifications and equivalents may be made to the invention without departing from the spirit and scope of the invention.
Claims (8)
1. A method for estimating a diver's bay in a data-free area, comprising the steps of:
s1: collecting the existing hydrogeological data in the research area;
s2: dividing a research area according to the collected data, and dividing the research area into a reliable area and a prediction area;
s3: calculating the groundwater hydraulic gradient of the groundwater aquifer in the prediction area by using an ArcGIS analysis tool;
s4: and (4) calculating the diving space of the prediction area by using an ArcGIS analysis tool.
2. The method of claim 1, wherein the step of estimating the diver's bay in the data-free area comprises: the existing hydrogeological data of the research area in the step S1 comprises the ground elevation data of the research area and the underground water data of the existing observation holes.
3. The method of claim 1, wherein the step of estimating the diver's bay in the data-free area comprises: in the step S2, a reliable area is defined according to a spatial interpolation result of the underground water data, and the reliable area is a closed area surrounded by the observation hole.
4. The method of claim 1, wherein the step of estimating the diver's bay in the data-free area comprises: in the step S3, the earth surface gradient and the groundwater aquifer groundwater hydraulic gradient in the reliable area are obtained by means of an ArcGIS analysis tool, gradient ratio grid distribution in the reliable area is obtained through calculation, gradient ratio spatial interpolation is carried out on the prediction area in the research area through gradient ratio data obtained through calculation of the reliable area, and the groundwater aquifer groundwater hydraulic gradient of the prediction area is calculated.
5. The method of claim 4, wherein the step of estimating the diver's bay in the non-data area comprises: the gradient ratio is the ratio of the surface gradient to the hydraulic gradient of groundwater in a diving aquifer.
6. The method of claim 1, wherein the step of estimating the diver's bay in the data-free area comprises: in the step S4, fishing net points are set in the research area, the density of the fishing net points is set according to the actual research size, and then the diving space of the fishing net points in the prediction area is obtained through calculation through neighbor analysis and minimum boundary geometry construction.
7. The method of claim 6, wherein the neighbor analysis and construction of the minimum boundary geometry comprises the steps of:
s41: selecting a plurality of fishing net points which are close to a certain fishing net point in the prediction region in the reliable region through neighbor analysis in an ArcGIS analysis tool;
s42, averaging the constructed diving positions of the fishing net points in the reliable area in the minimum boundary geometric range, the groundwater hydraulic gradient of the diving aquifer in the minimum boundary geometric range and the distances between a certain fishing net point in the prediction area and a plurality of fishing net points which are positioned near in the reliable area.
8. The method of claim 7, wherein the step of estimating a diver's bay in the dataless area comprises: the diving position of a certain fishing net point in the prediction region = [ the average value of the diving position of the fishing net point in the reliable region ] + [ the average value of the groundwater water slope of the groundwater aquifer in the minimum boundary geometric range ] + [ the average distance between the certain fishing net point in the prediction region and a plurality of fishing net points close to the reliable region ].
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| CN113836740A (en) * | 2021-09-30 | 2021-12-24 | 安徽大学 | Method for calculating historical spatial information of coal mining subsidence ponding area of high diving space |
| CN114357678A (en) * | 2022-01-06 | 2022-04-15 | 余楚 | Novel optimization design method for regional underground water level monitoring network |
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| CN101908100A (en) * | 2010-07-26 | 2010-12-08 | 中国科学院生态环境研究中心 | Modeling and numeric value simulating method of groundwater environment |
| CN106640076A (en) * | 2016-11-22 | 2017-05-10 | 陕西省地质环境监测总站 | Water-retention coal mining method for cooperatively controlling water level and water quantity of unconfined aquifer |
| CN110990762A (en) * | 2019-11-07 | 2020-04-10 | 上海勘察设计研究院(集团)有限公司 | Calculation method for rapidly determining fluctuation characteristics of diving space |
| CN113836740A (en) * | 2021-09-30 | 2021-12-24 | 安徽大学 | Method for calculating historical spatial information of coal mining subsidence ponding area of high diving space |
| CN114357678A (en) * | 2022-01-06 | 2022-04-15 | 余楚 | Novel optimization design method for regional underground water level monitoring network |
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