CN111858794B - Sewage outlet data set construction and quick retrieval method with influence on water quality section - Google Patents

Sewage outlet data set construction and quick retrieval method with influence on water quality section Download PDF

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CN111858794B
CN111858794B CN202010536715.4A CN202010536715A CN111858794B CN 111858794 B CN111858794 B CN 111858794B CN 202010536715 A CN202010536715 A CN 202010536715A CN 111858794 B CN111858794 B CN 111858794B
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CN111858794A (en
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王永桂
刘雪梅
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Wuhan Qilian Ecological Technology Co ltd
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Abstract

The invention discloses a sewage outlet data set construction and quick retrieval method which has influence on water quality section, the main steps of the method are as follows: establishing a river network space topological relation of a river basin, carrying out river network space unit division, determining all calculation units at the downstream of each space calculation unit, establishing a drain geographic space database, determining the river network space calculation units at which each drain is positioned, determining all calculation units at the downstream of each space calculation unit based on the river network space topological relation, establishing a river network water quality section space database, determining the river network space calculation units at which each water quality section is positioned, determining all water quality sections at the downstream of the calculation unit at which each drain is positioned based on the space relation of the calculation units, generating a pollution source list at which each water quality section is influenced, determining all drain outlets at the downstream of each water quality section, and quickly searching from the pollution source list according to the water quality section numbers to obtain the drain at which each water quality section is influenced.

Description

Sewage outlet data set construction and quick retrieval method with influence on water quality section
Technical Field
The invention relates to the technical field of pollution source analysis, in particular to a sewage outlet retrieval technology for influencing water quality section.
Background
Along with the continuous expansion of the refined management of the water environment in China, the water quality management through the target water quality of the water quality section is a core technology of the ecological environment management of the water in China. In the process of water quality section target water quality management, how to quickly determine pollution sources influencing the water quality section is the most basic problem.
At present, a plurality of researches on pollution source tracing of water quality pollution are conducted to perform relevant exploration and analysis. In the patent, by acquiring water environment information and constructing a fingerprint database of lake and reservoir pollutants, when water quality pollution occurs, the characteristics in the fingerprint database are compared according to the fingerprint indexes of candidate indexes, so as to further determine an industrial pollution source, an agricultural pollution source or a domestic pollution source which has an influence on the water pollution. In addition, a positioning method (CN 102818884A) of the illegal sewage outlet indicates that water pollution information is obtained through monitoring a river channel, and then the distance between the illegal sewage outlet and the water pollution position is calculated through a water quality model to obtain the corresponding pollution source position. Other methods (CN 107563139A) for calculating the tracing contribution degree of the accident of the sudden water pollution source of the point source point out that the control area corresponding to the control section of the river basin is determined according to the natural geographic characteristics of the river basin, the pollution source in the river basin is budgeted by using pollution source monitoring data and pollution source statistical data, then a one-dimensional unsteady water quality model is utilized to establish the response relationship between the pollution source of the river basin and the water quality of the section, and then tracing calculation is carried out through the water quality model.
The above-mentioned related patents can indicate to some extent the source of pollution of water quality pollution. However, most of these methods are based on water quality models, and lack of traceability of drain ports affecting water quality of water quality sections. For analysis of pollution of water quality section, the key point is to quickly find an alternative sewage outlet which can affect the water quality of the sewage, and then analyze the pollution source through the sewage outlet. At present, no technology exists, and a large number of technologies lack specific directions in pollution source retrieval, so that the retrieval time is long and a large amount of computing resources are consumed. Therefore, developing a set of technology capable of clearly determining the spatial relationship between the water quality section and the sewage outlet is particularly important for rapidly locking the alternative sewage outlet when the water quality section is polluted. The technical method provided by the invention can effectively solve the problem and provide support for monitoring and treating the water quality section.
Disclosure of Invention
In view of the above, the invention provides a sewage outlet data set construction and quick retrieval method which has influence on water quality section, comprising the following specific steps:
s1, establishing a space topological relation of a river network, dividing the river network into a river and a river segment, and determining an upstream-downstream relation of the river and the river segment;
s2, dividing a river network space calculation unit, dividing a river reach into calculation units with a certain length, and numbering the calculation units according to the sequence of the river reach from upstream to downstream;
s3, carrying out global retrieval on the computing units according to the interrelationships among the computing units to obtain all downstream computing units of each computing unit;
s4, determining a calculation unit where each drain outlet is located, and obtaining drain outlet data set attributes of the calculation units according to the calculation units corresponding to each drain outlet;
s5, establishing a water quality section space database, including water quality section numbers, names, water quality standard values and the attributes of the river network units, and determining the calculation unit number of each water quality section;
s6, determining all water quality sections at the downstream of each sewage outlet, and obtaining a downstream water quality section data set of each sewage outlet;
s7, sequentially searching a downstream water quality section dataset of the drain outlet, determining all drain outlets on the downstream of each water quality section, and generating a drain outlet list on each water quality section, wherein the list comprises names and numbers of the drain outlets;
s8, according to the water quality section number, quickly retrieving from the list to obtain a sewage outlet with influence on the water quality section number.
Further, the step S1 is specifically to establish a space topological relation of the river network, divide the river by the starting point of the river in the river network, wherein the river is a natural river in the river network, and comprises a main stream, a first-stage tributary and a second-stage tributary, the river segments are river segments according to the intersection relation among the main stream and the tributary, the intersection point and the intersection point are river entrance points, and the intersection point and the river exit points are river segments, and determine the upstream river segment and the downstream river segment of the river segments according to the natural flow direction of the river segments.
Further, the S2 performs space calculation unit division of the river network, each river segment is divided into n calculation units, and the length of each divided calculation unit is not less than X meters.
Further, in the step S2, the space computation unit of the river network is the smallest unit of the river network, each unit can only be in one river reach, each river reach comprises a plurality of computation units, each computation unit comprises one or more upstream computation units and downstream computation units except the first computation unit of the river reach and the last computation unit of the river network, and the computation units are numbered from 1 to N according to the sequence of the river reach from upstream to downstream.
Further, in the step S3, the method for searching all the computing units downstream of each computing unit is as follows:
s31, sequentially obtaining downstream computing units D of each computing unit j according to the sequence from 1 to N, wherein D is the first downstream computing unit of the computing unit j;
s32, taking a downstream computing unit DD of a computing unit D as a retrieval target, judging whether the number of an upstream computing unit of the computing units in 1 to N computing units is equal to DD, and if the computing unit exists, adding the computing unit into a downstream computing unit of a computing unit j;
s33, taking the downstream computing unit DDD of the DD as a target, continuing to search from 1 to N computing units until no new downstream computing unit exists, and then switching to search of the next computing unit to sequentially generate all computing unit sets downstream of each computing unit.
Further, S4 is specifically:
s41, obtaining projection coordinates p of all sewage outlets i i (x i ,y i );
S42, obtaining the midpoint coordinates e of all the calculation units j j (x ej ,y ej );
S43, calculating the length Lie from each drain outlet to the midpoint of all calculation units through a distance formula
S44, comparing all the Lies, wherein the calculation unit corresponding to the shortest Lie is the calculation unit where the sewage outlet i is located;
s45, according to the corresponding calculation unit of each drain outlet, obtaining the drain outlet data set attribute of the calculation unit.
Further, the step S6 specifically includes:
s61, acquiring a calculation unit where the sewage drain is located;
s62, searching all the calculation units at the downstream of the calculation unit, judging whether each downstream calculation unit contains a water quality section, and if so, adding the water quality section into a water quality section data set at the downstream of the sewage outlet until all the calculation units at the downstream of the sewage outlet are searched.
Further, the specific step of S7 is as follows:
s71, sequentially searching a downstream water quality section data set of the sewage outlet through the serial numbers of the water quality sections;
s72, if the downstream water quality section data set of the sewage outlet contains a water quality section d1, the sewage outlet is a sewage outlet which has an influence on the water quality section d1, and finally, a sewage outlet list which has an influence on the water quality section d1 is obtained; constructing a list of all sewage outlets which have influence on each water quality section, wherein the list comprises names and numbers of the sewage outlets.
The invention can be used for constructing a river network water quality section and drain outlet database to form a water quality section-drain outlet data set which accords with practical characteristics, provides support for quickly searching a drain outlet which possibly has influence when water quality section pollution occurs, and has important significance for water environment quality target management and water pollution control.
Drawings
FIG. 1 is a flow chart of a method for constructing and quickly searching drain outlet data sets with influence on water quality sections;
FIG. 2 is a schematic diagram showing the division of river and river segments in a river network system;
FIG. 3 is a schematic diagram of the division of computing units in a river reach;
FIG. 4 is a schematic diagram of a calculation unit where a water quality section and a drain outlet are located.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the present invention more apparent, embodiments of the present invention will be further described with reference to the accompanying drawings.
Referring to fig. 1, an embodiment of the present invention provides a method for constructing and rapidly retrieving a drain data set having an effect on a water quality section, wherein the method comprises the following steps:
s1, establishing a river basin and river network space topological relation, dividing the river network into a river and a river segment, and determining an upstream-downstream relation of the river and the river segment, wherein the method comprises the following steps of:
s11, as shown in FIG. 2, GL is a main stream, and in the sequence from upstream to downstream, GL has two primary branches, ZL1 and ZL2 respectively, wherein ZL2 has two branches, and is a secondary branch of GL, and likewise in the sequence from upstream to downstream, the numbers are ZL21 and ZL22 in sequence;
s12, further carrying out river segment numbering on the basis of river number, wherein according to the numbering principle of tributaries and then main flows, the intersection point of ZL1 and GL is numbered to the starting point of ZL1, the intersection point of ZL1 and GL is numbered to the starting point of GL, the intersection point of ZL1 and GL is numbered to the river segment (2), the intersection point of ZL2 and GL is numbered to the river segment (3); then turning to ZL2 for numbering the river reach, sequentially completing the numbering of the river reach (4) -the river reach (8) according to the same principle, and finally completing the numbering (9) of the last dry flow river reach;
s13, dividing the river reach into calculation units based on the river reach number, wherein the division length of each calculation unit of the river reach can be determined according to actual needs and is generally not less than 500 meters, as shown in fig. 3, dividing the river reach (1) (2) (3) into 3 calculation units respectively, and numbering the calculation units according to the sequence from the upstream to the downstream of the river reach and the sequence from 1 to 9;
s14, identifying the upstream and downstream river reach attributes of the calculation units on the basis of the division and the numbering of the calculation units, and ensuring that each calculation unit adds the upstream and downstream attributes according to the actual spatial relationship. As shown in fig. 3, the upstream computing unit of the computing unit No. 1 is absent, empty, the downstream computing unit No. 2, the upstream computing unit of the computing unit No. 2 is No. 1, the downstream computing unit is No. 3, the upstream computing unit of the computing unit No. 3 is No. 2, and the downstream computing unit is No. 7.
S2, searching all the downstream computing units of each computing unit;
s21, as shown in FIG. 3, searching all the downstream computing units of the computing unit 1, firstly judging that the downstream computing unit of the computing unit 1 is No. 2, and adding the No. 2 computing unit into the downstream computing unit set of the No. 1;
s22, taking the number 2 of the calculation units as a retrieval target, judging that the number 3 of the downstream calculation unit of the number 2 of the calculation units is the number 3, and if the number 3 of the calculation units is contained in the upstream calculation unit of the number 7 of the calculation units in the calculation units 1-9, the number 3 of the calculation units and the number 7 of the calculation units are both the downstream calculation units of the number 1 of the calculation units;
s23, taking the No. 7 calculation unit as a target retrieval unit, wherein the downstream calculation unit is a calculation unit 8, and the upstream calculation unit of the No. 9 calculation unit is a calculation unit 8, so that the No. 8 calculation unit and the No. 9 calculation unit are also downstream calculation units of the No. 1 calculation unit;
s24, in the number 1-9 calculation units, the downstream calculation unit of the number 1 calculation unit comprises number 2, 3, 7, 8 and number 9 calculation units;
s25, sequentially generating all the calculation unit sets downstream of each calculation unit according to the same method, wherein the results are shown in the table 1:
TABLE 1 downstream computing Unit set for each computing Unit
Calculating unit numbers Downstream computing unit set
1 2、3、7、8、9
2 3、7、8、9
3 7、8、9
4 5、6、7、8、9
5 6、7、8、9
6 7、8、9
7 8、9
8 9
9 Without any means for
S3, determining the number of the computing unit where each drain outlet is located, and obtaining the drain outlet data set attribute of the computing unit according to the number of the computing unit corresponding to each drain outlet;
s31, obtaining projection coordinates p of all sewage outlets i i (x i ,y i );
S32, acquiring midpoint coordinates e of all the computing units j j (x ej ,y ej );
S33, calculating the length Lie from each drain outlet to the midpoint of all calculation units through a distance formula
S34, comparing all the Lies, wherein the calculation unit corresponding to the shortest Lie is the calculation unit where the sewage outlet i is located;
s35, according to the corresponding calculation unit of each drain outlet, obtaining the drain outlet data set attribute of the calculation unit, wherein the calculation unit of the drain outlet a is No. 2, the calculation unit of the drain outlet b is No. 5, and the calculation unit of the drain outlet c is No. 8.
S4, calculating the distance from the midpoint of the water quality section to the midpoint of each calculation unit according to the same calculation form as the calculation unit corresponding to the determined sewage outlet, wherein the calculation unit closest to the water quality section is the calculation unit where the water quality section is located, and adding the water quality section into the water quality section data set of the calculation unit, as shown in FIG. 4, the calculation units where the water quality sections d1 and d2 are located are respectively No. 7 and No. 9.
S5, searching all water quality sections at the downstream of each sewage outlet to obtain the downstream water quality section of each sewage outlet;
step S51, obtaining the number of a computing unit where the sewage outlet is located, as shown in FIG. 4;
step S52, searching all the downstream computing units according to the number of the computing units, judging whether each downstream computing unit contains a water quality section, and if so, adding the water quality section into the water quality section data set downstream of the sewage outlet until all the computing units downstream of the sewage outlet are searched, as shown in table 2.
TABLE 2 downstream water section of each drain
Sewage outlet numbering Number of the calculation unit Downstream water section
a 2 d1、d2
b 5 d1、d2
c 8 d2
S6, carrying out retrieval analysis on the sewage outlet with influence on the water quality section, as shown in FIG. 4, carrying out retrieval on the sewage outlet with influence on the water quality section d1, and carrying out the following steps:
s61, sequentially searching a downstream water quality section data set of the a-c sewage outlet;
s62, if the downstream water quality section data set of the sewage outlet contains the water quality section d1, the sewage outlet is a sewage outlet which has an influence on the water quality section d1, as shown in the table 2, and the downstream water quality section of the sewage outlet a and the sewage outlet b contains d1, and the sewage outlet a and the sewage outlet b are sewage outlets which have an influence on the water quality section d 1.
S63, respectively constructing all drain outlet lists with influences on the water quality section, wherein the lists comprise names and numbers of drain outlets, and according to the water quality section numbers, the drain outlets with the influences are quickly retrieved from the lists.
The embodiments described above and features of the embodiments herein may be combined with each other without conflict. The foregoing description of the preferred embodiments of the invention is not intended to limit the invention to the precise form disclosed, and any such modifications, equivalents, and alternatives falling within the spirit and scope of the invention are intended to be included within the scope of the invention.

Claims (6)

1. A sewage outlet data set construction and quick retrieval method with influence on water quality section is characterized by comprising the following steps:
s1, establishing a space topological relation of a river network, dividing the river network into a river and a river segment, and determining an upstream-downstream relation of the river and the river segment;
s2, dividing a river network space calculation unit, dividing a river reach into calculation units with a certain length, and numbering the calculation units according to the sequence of the river reach from upstream to downstream;
s3, carrying out global retrieval on the computing units according to the interrelationships among the computing units to obtain all downstream computing units of each computing unit; specifically, the method for searching all the computing units downstream of each computing unit is as follows:
s31, sequentially obtaining downstream computing units D of each computing unit j according to the sequence from 1 to N, wherein D is the first downstream computing unit of the computing unit j;
s32, taking a downstream computing unit DD of a computing unit D as a retrieval target, judging whether the number of an upstream computing unit of the computing units in 1 to N computing units is equal to DD, and if the computing unit exists, adding the computing unit into a downstream computing unit of a computing unit j;
s33, taking a DD downstream computing unit DDD as a target, continuing to search from 1 to N computing units until no new downstream computing unit exists, and then transferring to search of a next computing unit to sequentially generate all computing unit sets downstream of each computing unit;
s4, determining a calculation unit where each drain outlet is located, and obtaining drain outlet data set attributes of the calculation units according to the calculation units corresponding to each drain outlet; specifically, S41, obtain projection coordinates p of all the sewage outlets i i (x i ,y i );
S42, obtaining the midpoint coordinates e of all the calculation units j j (x ej ,y ej );
S43, calculating the length Lie from each drain outlet to the midpoint of all calculation units through a distance formula
S44, comparing all the Lies, wherein the calculation unit corresponding to the shortest Lie is the calculation unit where the sewage outlet i is located;
s45, according to the corresponding calculation unit of each drain outlet, obtaining the drain outlet data set attribute of the calculation unit;
s5, establishing a water quality section space database, including water quality section numbers, names, water quality standard values and the attributes of the river network units, and determining the calculation unit number of each water quality section;
s6, determining all water quality sections at the downstream of each sewage outlet, and obtaining a downstream water quality section data set of each sewage outlet;
s7, sequentially searching a downstream water quality section dataset of the drain outlet, determining all drain outlets on the downstream of each water quality section, and generating a drain outlet list on each water quality section, wherein the list comprises names and numbers of the drain outlets;
s8, according to the water quality section number, quickly retrieving from the list to obtain a sewage outlet with influence on the water quality section number.
2. The method for constructing and rapidly searching the drain data set with influence on the water quality section according to claim 1, wherein the step S1 is specifically to establish a space topological relation of a river network, divide the river into a natural river in the river network through a starting point of the river in the river network, and the river is a main stream, a first-stage tributary and a second-stage tributary, and the river is determined according to the intersection relation among the main tributaries, the intersection point and the intersection point, the river entrance point and the intersection point and the river exit point, and according to the natural flow direction of the river, the upstream river and the downstream river of the river are determined.
3. The method for constructing and rapidly retrieving a drain data set having an influence on a water quality section according to claim 1, wherein the step S2 is to divide a river network space into n calculation units, and the length of each calculation unit is not less than X meters.
4. The method for constructing and rapidly retrieving a drain data set having an influence on a water quality section according to claim 1, wherein in S2, the space calculation unit of the river network is a minimum unit of the river network, each unit can only include a plurality of calculation units in one river reach, each calculation unit has one or more upstream calculation units and downstream calculation units except for a first calculation unit of the river reach and a last calculation unit of the river reach, and the calculation units are numbered in the order from 1 to N according to the order from upstream to downstream of the river reach.
5. The method for constructing and quickly searching the drain outlet data set with the influence on the water quality section according to claim 1, wherein the step S6 is specifically as follows:
s61, acquiring a calculation unit where the sewage drain is located;
s62, searching all the calculation units at the downstream of the calculation unit, judging whether each downstream calculation unit contains a water quality section, and if so, adding the water quality section into a water quality section data set at the downstream of the sewage outlet until all the calculation units at the downstream of the sewage outlet are searched.
6. The method for constructing and rapidly searching the drain outlet dataset influencing the water quality section according to claim 1, wherein the step S7 is specifically as follows:
s71, sequentially searching a downstream water quality section data set of the sewage outlet through the serial numbers of the water quality sections;
s72, if the downstream water quality section data set of the sewage outlet contains a water quality section d1, the sewage outlet is a sewage outlet which has an influence on the water quality section d1, and finally, a sewage outlet list which has an influence on the water quality section d1 is obtained; constructing a list of all sewage outlets which have influence on each water quality section, wherein the list comprises names and numbers of the sewage outlets.
CN202010536715.4A 2020-06-12 2020-06-12 Sewage outlet data set construction and quick retrieval method with influence on water quality section Active CN111858794B (en)

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Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2005316519A (en) * 2004-04-26 2005-11-10 Japan Science & Technology Agency River section retrieving method, river section retrieving program, and recording medium with its program recorded thereon
CN102156914A (en) * 2011-03-30 2011-08-17 东华大学 Method for cooperatively and optimally allocating water volume in non-flood season
CN104298689A (en) * 2013-07-17 2015-01-21 杭州贵仁科技有限公司 Drainage network encoding method and system
CN107563139A (en) * 2017-09-06 2018-01-09 郑州大学 A kind of point source sudden water pollution source accident source percentage contribution computational methods
CN107609742A (en) * 2017-08-14 2018-01-19 环境保护部华南环境科学研究所 A kind of water environment early warning comprehensive management platform
CN108932672A (en) * 2018-06-19 2018-12-04 青海中水数易信息科技有限责任公司 A kind of waters river Chang Zhi total management system
CN110659336A (en) * 2018-06-12 2020-01-07 北京澜途集思科技有限公司 Water environment information processing system

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2005316519A (en) * 2004-04-26 2005-11-10 Japan Science & Technology Agency River section retrieving method, river section retrieving program, and recording medium with its program recorded thereon
CN102156914A (en) * 2011-03-30 2011-08-17 东华大学 Method for cooperatively and optimally allocating water volume in non-flood season
CN104298689A (en) * 2013-07-17 2015-01-21 杭州贵仁科技有限公司 Drainage network encoding method and system
CN107609742A (en) * 2017-08-14 2018-01-19 环境保护部华南环境科学研究所 A kind of water environment early warning comprehensive management platform
CN107563139A (en) * 2017-09-06 2018-01-09 郑州大学 A kind of point source sudden water pollution source accident source percentage contribution computational methods
CN110659336A (en) * 2018-06-12 2020-01-07 北京澜途集思科技有限公司 Water environment information processing system
CN108932672A (en) * 2018-06-19 2018-12-04 青海中水数易信息科技有限责任公司 A kind of waters river Chang Zhi total management system

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
"论城市排水管线安全预警系统数据的获取与利用";王东君等;《信息技术与信息化》;97-99 *

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