CN105825047A - Pipe network tip water quality simulation method based on GIS - Google Patents

Pipe network tip water quality simulation method based on GIS Download PDF

Info

Publication number
CN105825047A
CN105825047A CN201610140534.3A CN201610140534A CN105825047A CN 105825047 A CN105825047 A CN 105825047A CN 201610140534 A CN201610140534 A CN 201610140534A CN 105825047 A CN105825047 A CN 105825047A
Authority
CN
China
Prior art keywords
node
water
age
pipeline section
pipe network
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN201610140534.3A
Other languages
Chinese (zh)
Inventor
杨骥
李勇
张南峰
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Guangzhou Institute of Geography of GDAS
Original Assignee
Guangzhou Institute of Geography of GDAS
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Guangzhou Institute of Geography of GDAS filed Critical Guangzhou Institute of Geography of GDAS
Priority to CN201610140534.3A priority Critical patent/CN105825047A/en
Publication of CN105825047A publication Critical patent/CN105825047A/en
Pending legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16ZINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS, NOT OTHERWISE PROVIDED FOR
    • G16Z99/00Subject matter not provided for in other main groups of this subclass

Landscapes

  • Treatment Of Water By Oxidation Or Reduction (AREA)

Abstract

The invention discloses a pipe network tip water quality simulation method based on GIS. According to the inflow and outflow relationship between pipe network tip nodes and pipe sections of a community, the characteristics of capacity nodes and the characteristics of capacity-free nodes are combined, a capacity node residual chlorine attenuation model and a capacity-free node residual chlorine attenuation model are respectively built, and known data is substituted into the models, so that capacity node residual chlorine concentration and capacity-free node residual chlorine concentration can be obtained, and further a water quality condition is obtained. Because various parameters generating influence on water quality are added to the residual chlorine attenuation models, a water quality evaluation method which is scientific in algorithm and high in fidelity is formed. The change situation of residual chlorine attenuation of tips of water supply pipe networks can be rapidly and comprehensively understood. The pipe network tip capacity node can be accurately, objectively and scientifically evaluated relatively.

Description

Terminal tap water matter analogy method based on GIS
Technical field
The present invention relates to urban water supply technical field, be specifically related to a kind of Terminal tap water matter analogy method based on GIS.
Background technology
In the water body up to standard course of conveying from water factory to user, owing to water quality is from the impact in factors such as the change of pipe network and outside secondary pollutions, will eventually lead to water supply quality decline in various degree.According to investigations, China's ductwork water quality qualification rate relatively output water declines 0.88 percentage point, wherein turbidity average specific output water height 0.3NTU, and total number of bacteria increases about 4 times. and qualification rate is about 97%, and escherichia coli more only have the qualification rate of about 90%.People are increasingly recognized that the importance that water quality is ensured by drinking water safety transmission & distribution, it may be said that the center of gravity of water quality safeguards technique is the most gradually shifted to pipe network by water factory.
The water analysis of water supply network system consists essentially of two ways, and one is directly sample testing in water supply network, and another kind is to utilize mathematical model of the computer to carry out simulation of water quality.Directly in water supply network, sample testing is typically the concrete application according to pipe network system and about water standard and regulation, selects some water quality parameter to test.This mode, primarily to the purpose of ductwork water quality monitoring, has a wide range of applications field.Although it has irreplaceable effect, but this mode still has price height, is vulnerable to the shortcoming that Practical Project condition limits during actual pipe network monitoring.Owing to city water-supply pipe network has, area is big, branch is many, it is inconsistent to lay the age, the not equal feature of pipe features, it is difficult to the most manually monitoring mode pipeline section each to whole pipe network water quality produces in real time, understands all sidedly.
Summary of the invention
For the deficiencies in the prior art, it is an object of the invention to provide a kind of Terminal tap water matter analogy method based on GIS, in order to accurately, objectively to Terminal tap water matter make scientific evaluation.
To achieve these goals, the present invention adopts the technical scheme that:
Whether the water yield according to flowing into node stays at this node, is divided into by the node of pipe network tip and has appearance node and without holding node;
For there being appearance node, simulate the concentration of chlorine residue according to the following formula
∂ ( V s C s ) ∂ t = Σ i ∈ I s Q i C i / x = L i - Σ j ∈ O s Q j C s + r ( C s )
In formula, s indicates appearance node;
VsRepresent that t has the actual reservoir volume holding node s;
CsRepresent that t has and hold the concentration of chlorine residue in node s;
Qi、LiRepresenting flow and the length of pipeline section i respectively, pipeline section i is to flow to there is the pipeline section holding node s;
CI | x=LiRepresent the x=L of t pipeline section iiThe residual chlorine concentration at place, is the current starting point of pipeline section i at x=0;
QjRepresenting the flow of pipeline section j, pipeline section j is from the pipeline section having appearance node s to flow into after flowing out;
Is、OsRepresent inflow respectively, flow out the pipeline section set having appearance node s;
R represents the reactions change function of chlorine residue;
Node is held for nothing, the concentration of employing following formula simulation chlorine residue:
d c d t = - k c k = k b + k f k w r h ( k f + k w )
C is the residual chlorine concentration without holding node, and t is that main suit is arrived without holding the time used by node, and k is Residual chlorme decay coefficient, rhFor pipeline section hydraulic radius, kbFor water body attenuation quotient, kfIt is mass tranfer coefficient, kwIt it is tube wall attenuation quotient.
The present invention is according to the inflow and outflow relation between community pipe network frontier node and pipeline section, and it is combined with appearance node and without holding the feature of node, establish respectively and hold node and without holding the Chlorine Decay model of node, known data are substituted into this model, i.e. can obtain having and hold node and without holding the residual chlorine concentration of node, and then know water quality condition.Owing to Chlorine Decay model adds, water quality is produced the various parameters affected, thus define algorithm science, quality evaluation method that fidelity is higher, the situations of change such as the Chlorine Decay that can understand water supply network tip fast, all sidedly, more accurately, objectively to Terminal tap water matter make scientific evaluation.
Accompanying drawing explanation
Fig. 1 is water calculation process in age schematic diagram;
Fig. 2 is the GIS figure of hillslope processes;
Fig. 3 is tetra-contributing region distribution schematic diagrams of test block A, B, C, D;
Fig. 4 is test block secondary water-supply user terminal node selection schematic diagram;
Fig. 5 is the continuous 48 hours interior water analogue value in age situations of change of certain node;
Fig. 6 is certain node chlorine residue situation of change of the analogue value in continuous 48 hours;
Fig. 7 is pipe network distal point GA cycle water situation of change in age;
Fig. 8 is the situation of change of pipe network distal point GA flow;
Fig. 9 is pipe network distal point GA chlorine residue measured value and the situation of change of the analogue value;
Figure 10 is different monitoring points water situation of change in age on each time point;
Figure 11 is different monitoring points chlorine residue situation of change on each time point.
Detailed description of the invention
The emphasis of this invention is that combining GIS technology carries out dynamic analog to waterpower, the index of correlation of change of water quality in secondary water-supply water distribution system.Valid data according to monitoring point, deduce other water quality condition everywhere in pipe network, and then the water quality condition of whole water supply network system is assessed targetedly, improve the level of Terminal tap water matter management, improve the safety of urban water supply, reliability and economy.
The effective tool that ductwork water quality mathematical model is the most gradually changed with the change of room and time as water quality in prediction water supply network system by approval.Water supply network system water quality model can be divided into two main Types, and one is to pay close attention to affect the chemistry of ductwork water quality, the change of physical characteristic and transformation process, and one is to pay close attention to the control of microorganism in pipe network system.Mathematical model of the computer is utilized can more accurately to obtain the variation of water of pipe network tip to carry out simulation of water quality.
According to the conservation of mass and reaction power theory, under the conditions of certain reaction rate, dissolved matter concentration change in pipeline is an one-dimensional transport reaction equation.At the pipeline section place of intersecting or have at the node that the current beyond pipe network system inject, it is believed that fluid is instantaneous being thoroughly mixed.Whether the water yield according to flowing into node stays at this node, is divided into by the node in pipe network and has appearance node (after current flow into this category node, a period of time to be stored flows out again) and without holding node (water flowing into this node flows out at once).For there being appearance node, such as water tower, pond etc., need to consider the reactions change of dissolved matter in node water capacity, it is assumed that fluid is thoroughly mixed in the regulation structures of pipe network, Chlorine Decay change uses and calculates with drag:
∂ ( V s C s ) ∂ t = Σ i ∈ I s Q i C i / x = L i - Σ j ∈ O s Q j C s + r ( C s )
In formula, s indicates appearance node;
VsRepresent that t has the actual reservoir volume holding node s;
CsRepresent that t has and hold the concentration of chlorine residue in node s;
Qi、LiRepresenting flow and the length of pipeline section i respectively, pipeline section i is to flow to there is the pipeline section holding node s;
CI | x=LiRepresent the x=L of t pipeline section iiThe residual chlorine concentration at place, is the current starting point of pipeline section i at x=0;
QjRepresenting the flow of pipeline section j, pipeline section j is from the pipeline section having appearance node s to flow into after flowing out;
Is、OsRepresent inflow respectively, flow out the pipeline section set having appearance node s;
R represents the reactions change function of chlorine residue;
For without holding node, the current of node are from different water sources, and the flow entering this node is the most different, and Chlorine Decay changes over situation and typically calculates by Chlorine Decay first kernel response model.
C is residual chlorine concentration (mg/L) in water body, the time used (second) of t main suit to certain point (node);K is reaction rate constant, also referred to as total attenuation coefficient, and rh is pipeline section hydraulic radius (m);Model is first order reaction the decay reaction treatment of chlorine, it is believed that chlorine decay in pipe network can be divided into water body consumption (kbWater body attenuation quotient, unit is min-1) and tube wall consumption (kfBeing mass tranfer coefficient, unit is m/min;kwBeing tube wall attenuation quotient, unit is m/min) two ingredients.Chlorine Decay constant, different because pipeline material, bore are different, the scope of k is between 10-3With 10-5Between, for specific water supply pipe net system, k value should be corrected by water quality testing data.
Chlorine residue is a kind of water quality basic index, and water is not belonging to water quality index, but affects the key factor of water quality index age.It is above Chlorine Decay model, water age computation model is described below.
In water supply network, water age of node is equal to flowing to all current water age of this node with weighted mean that flow is power, and end (i.e. flowing into that one end of this node) water flowing to the arbitrary pipeline section of this node i.e. flows through the time sum used by this pipeline section with current equal to its top water age age, therefore set up model:
MT water source node (level pressure node) is gathered;
The non-aqueous source node of M (transformation node) is gathered
SjThe all node set that flow to node j adjacent with node j (i.e. make qij> 0 all node i)
ti, tjNode i, the water age (unit: s) of j
The node that i is adjacent with node j
qijPipeline flow (unit: m between node i and j3/s)
LijPipeline section pipe range (unit: m) between node i and j
vijPipe section flow rate (unit: m/s) between node i and j
Q can be drawn through compensating computationij、Lij、vij, simultaneously each pipeline section the flow direction it is also known that in the case of, S can be obtainedj, so time just can utilize known tiTry to achieve the t of the unknownj.Because the water age of water source point, the water sequentially obtaining each water unknown node in age was worth t age it is known that then can be substituted into above formulaj.For preventing the same node of iterative solution during calculating, all of node giving an attribute solve, in order to distinguish, water age is known and unknown node, it is stipulated that: if node j water age is known or has solved, then solvej=1;Otherwise, solvej=0.Obviously, i.e. have before solving:
solve j = 1 ( j ∈ M T ) 0 ( j ∈ M )
The value of solve is substituted into formula water computation model in age as initial condition, solves.The most only the node meeting following condition is solved: this current age of the node is unknown, and the water of all adjacent nodes of this node of flow direction is known for age.The general first round solves, and is only possible to solve a part of node, and is to start from the node being associated with water source.And carry out second taking turns, third round is when solving, solve the nodes in water outlet age and increase sharply, if general through little traversal number of times, it is possible to travel through all nodes, solve their water value in age.The flow chart calculated (num is non-aqueous source node sum, and k is total traversal number of times) as shown in Figure 1.
Below with a specific embodiment checking Chlorine Decay model and the effect of water computation model in age.
One, test block is chosen
The present invention selects the secondary water-supply facility of certain community and user terminal to be pilot (as shown in Figure 2), this test block water is domestic water, floor space 90000 square metres, construction area 30000 square metres, have 1597 family resident families, with water population 4970 people.Test block has two water inlets, and its water supply network tubing includes ductile iron pipe and steel-plastics composite pipe two kinds.This community aqueous nature is single, and area is moderate, and the data accuracy that monitoring point obtains is higher.Two set water quality on-line monitoring instrument devices are built at A2 the roof in north gate, community entrance and community.
Two, water analysis result in age
Test block has two water inlets, two pump houses, four contributing regions (A, B, C, D district), A, D district is supplied water (water inlet RAD by same pump house, pond S1, S2, water pump group GAD, DAD), B, C district is by another pump house water supply (water inlet RBC, pond S3, S4, water pump group GBC, DBC), wherein 13 layers and following supplied water by low-lift pump, more than 13 layers are supplied water by high-pressure pump, and its network hydraulic operation state is as shown in Figure 3.
Three, water analysis
3.1 chlorine residue sunykatuib analyses
Carrying out water analysis simulation for 1mg/L as initial condition using room temperature 20 DEG C, water source, test block residual chlorine concentration, Fig. 6 shows from the calculating time in test block certain node situation of change of chlorine residue in continuous 48 hours.
The corresponding relation in 3.2 pipe network tip Chlorine Decays and pipe network water age
According to pipe net leakage rate, trial zone being carried out water age and the calculating of flow and analysis, time period chlorine residue each to pipe network tip change is made evaluation and is compared on this basis.If water age of water source point is zero in water supply network model, according to above hypothesis to water reaction rate in age, it is simulated calculating to pipe network distal point water age and flow, obtain the corresponding relation of whole pipe network tip Chlorine Decay and pipe network water age, and choose some representative nodes its analog result is analyzed.
(1) mutation analysis of same node different time points
By (as a example by the A district 13 above user terminal of floor, the situation of change in certain continuous 24 hours water age.As can be seen from Figure 7 this on continuous time point the change in water age in the fluctuation tendency first gone up and then down, water is time maximum occurs in 6 age, main cause is the form that test block uses secondary water-supply, after drinking water stores through pond, water pump pressurizes, by pipeline again for user, be added by two parts time water age of pipe network distal point and obtain, one be tap water flow at water source pond and in pond residence time, two is to rest on pond Zhong Shui to flow to the time of pipe network tip again through pipeline.This two parts time has together decided on the water age of pipe network distal point, and wherein Drinking Water residence time in pond becomes the main factor affecting Terminal tap water age.Owing to water usage at night is greatly decreased, tap water residence time in pond or pipeline increases and the speed of water guide growth in age is accelerated.With daytime water consumption increase, when 9 at current age of the node slightly decline.Along with continuing to increase of afternoon water consumption, 12 up to 24 time during this period of time interior nodes water present obvious falling trend age, and reach the minimum in this continuous time when 21.The water use peak period, along with the increase of user's water consumption, the water velocity in feedwater piping becomes big, the water time of staying in the duct i.e. water that shortens is diminished age, the decay of chlorine residue and corresponding to the reaction of tube wall reduce in water simultaneously so that the residual chlorine concentration of corresponding node increases, and vice versa.Visible, there is corresponding relation with the time of staying of the water consumption of secondary water-supply user terminal and tap water secondary water-supply pond in the variation tendency in water age.
As a example by the interior change in continuous 24 hours of this point (changes in flow rate is shown in Fig. 8, and water change in age is shown in that Fig. 7, chlorine residue change are shown in Fig. 9), sum up the corresponding relation between chlorine residue and water age, flow:
Water age 0 up to 6 time in this time period speedup the fastest, reason is that time period in morning water consumption is that whole day is minimum, Drinking Water time of staying in pond or pipe network increases, and causes water speedup in age to be accelerated, and residual chlorine concentration gradually decreases with the increase in water age within the time period.9 up to 12 time in this period, along with the arrival of water use peak in morning, the water in pipe network is updated, and water speedup in age has declined, and residual chlorine concentration slightly rises.Water consumption 12 up to 19 time in this period in the trend risen after restrain, water consumption has fallen after rise in the afternoon, continue to increase up to 19 time in the afternoon 15 along with water consumption, water slowdown in growth in age, and the chlorine content in this end of term time period (when 19) is higher than the chlorine content of initial (when 12).19 up to 24 time in this period, water consumption is in the high-order stage in one day.This discharge in period of time is in the trend first gone up and then down, and water consumption starts to have fallen after rise from 21 time, this water slight rebound in age;Chlorine content under the influence of the water yield and water age, when 24 at reach new peak value.
(2) mutation analysis of the same time point of different monitoring points
As Figure 10, Figure 11 are shown that the Changing Pattern in the age of chlorine residue and water in monitoring point (9:00) different in certain is continuous 24 hours, 4 monitoring points, (12:00), (19:00), (24:00) respectively.
In terms of the tendency of water curve in age, GA and GD monitoring point water age on each time point is apparently higher than GB, GC point, in Binding experiment district from the point of view of the hydraulic regime of water supply network, the reason producing this situation essentially consists in the actual used water amount actual used water amount less than BC district in AD district, cause drinking water time of staying in pond or pipe network longer, so that the water of this district's pipe network tip is bigger for age.In terms of the trend of chlorine residue curve, when 9 with 12 time, 19 time higher with chlorine residue Similar Broken Line degree when 24, this with the time in 9 up to 12 time, 19 up to 24 time two water use peak sections have indirectly relation.During secondary water-supply, there is certain impact to water age and the chlorine residue of pipe network tip in the water consumption of user terminal.Generally, along with user terminal water consumption increases, the water in pond or pipe network is updated, and Terminal tap water reduces or slowdown in growth age accordingly, and pipe network tip chlorine residue and this water age are inverse ratio, but being increased or decreased of chlorine residue there may be hysteresis effect.When the water velocity of pipeline increases, in pipe network, the water of corresponding node diminishes age, residual chlorine concentration increases.This is because in the water use peak period, the water consumption of each user increases, water velocity in feedwater piping becomes big, the water time of staying in the duct i.e. water that shortens is diminished age, the decay of chlorine residue and corresponding to the reaction of tube wall reduce in water simultaneously, the residual chlorine concentration making corresponding node increases, and vice versa.
Four, modelling verification and precision analysis
4.1 secondary water-supply cistern chlorine residue simulation precision
In the residual chlorine concentration simulation process of pond, it is assumed that the material of storing facilities of water is to be thoroughly mixed, under being thoroughly mixed state, attempted the mixing being current content with any water inlet content by the material in pond.From the point of view of simulation effect, analogue value change curve in time series and measured value keep basically identical, and chlorine residue residual error average is 0.104mg/L (standard deviation is 0.092mg/L, and average standard is mistaken for 0.023), simulates respond well.
The fit solution of chlorine residue dynamic analog is more satisfactory generally, the chlorine residue residual values simulation precision that chlorine residue residual values when 36 and GD (the D district 13 above user terminal of floor) put is the highest, it is respectively-0.024mg/L (standard deviation 0.378mg/L, standard error 0.134mg/L) and 0.009mg/L (standard deviation 0.043mg/L, standard error 0.015mg/L).
To sum up, as a example by uptown secondary water-supply, the change in Terminal tap water age and way of supplying water have indirectly relation.Test block uses the form of secondary water-supply, after drinking water stores through pond, water pump pressurizes, by pipeline again for user, the water of pipe network distal point is obtained by the addition of two parts time age, one be tap water flow at water source pond and in pond residence time, two is to rest on pond Zhong Shui to flow to the time of pipe network tip again through pipeline.This two parts time has together decided on the water age of pipe network distal point, and wherein Drinking Water residence time in pond becomes the main factor affecting Terminal tap water age.Water produces corresponding change with change and the supplementing of the pond water yield of water total amount age, in the change in final body present chlorine residue fluctuation.Generally, residual chlorine concentration is complementary with the variation tendency in water age, and the residual chlorine concentration corresponding to moment that i.e. water age is short is big, and water age, big period then residual chlorine concentration was less.
As seen from the experiment, in the water use peak period, the water consumption of user increases, water velocity in feedwater piping becomes big, the water time of staying in the duct i.e. water that shortens is diminished age, the decay of chlorine residue and corresponding to the reaction of tube wall reduce in water simultaneously so that the residual chlorine concentration of corresponding node increases, and vice versa.Also known that by result of the test, test block water source point, the chlorine residue everywhere of the pipe network distal point free chlorine residual of Terminal tap water in experimental period is more than 0.05mg/L, and the chlorine residue (fluctuating margin is 0.27mg/L-0.59mg/L) of pipe network distal point is superior to national standard requirement.
Additionally, use one-level decaying kinetics model construction Chlorine Decay kinetic model on the basis of test data, from the chlorine residue analogue value with the curve chart of measured value it can be seen that generally the fit solution of chlorine residue dynamic analog more satisfactory, coincide well with reality.
Above-listed detailed description is illustrating for possible embodiments of the present invention, and this embodiment is also not used to limit the scope of the claims of the present invention, and all equivalences done without departing from the present invention are implemented or change, are intended to be limited solely by the scope of the claims of this case.

Claims (3)

1. a Terminal tap water quality detection method based on GIS, it is characterised in that include step:
Whether the water yield according to flowing into node stays at this node, is divided into by the node of pipe network tip and has appearance node and without holding node;
For there being appearance node, simulate the concentration of chlorine residue according to the following formula
∂ ( V s C s ) ∂ t = Σ i ∈ I s Q i C i / x = L i - Σ j ∈ O s Q j C s + r ( C s )
In formula, s indicates appearance node;
VsRepresent that t has the actual reservoir volume holding node s;
CsRepresent that t has and hold the concentration of chlorine residue in node s;
Qi、LiRepresenting flow and the length of pipeline section i respectively, pipeline section i is to flow to there is the pipeline section holding node s;
CI | x=LiRepresent the x=L of t pipeline section iiThe residual chlorine concentration at place, is the current starting point of pipeline section i at x=0;
QjRepresenting the flow of pipeline section j, pipeline section j is from the pipeline section having appearance node s to flow into after flowing out;
Is、OsRepresent inflow respectively, flow out the pipeline section set having appearance node s;
R represents the reactions change function of chlorine residue;
Node is held for nothing, the concentration of employing following formula simulation chlorine residue:
d c d t = - k c k = k b + k f k w r h ( k f + k w )
C is the residual chlorine concentration without holding node, and t is that main suit is arrived without holding the time used by node, and k is Residual chlorme decay coefficient, rhFor pipeline section hydraulic radius, kbFor water body attenuation quotient, kfIt is mass tranfer coefficient, kwIt it is tube wall attenuation quotient.
Terminal tap water quality detection method based on GIS the most according to claim 1, it is characterised in that
Further comprise the steps of: according to the following formula calculate pipe network frontier node water age:
t j = 0 , ( j ∈ M T ) Σ i ∈ S j q i j ( t i + L i j v i j ) Σ i ∈ S j q i j , ( j ∈ M )
MT represents the set of water source node, and M represents the set of non-aqueous source node, and i represents the node adjacent with node j, SjRepresent all node set that flow to node j adjacent with node j, ti, tjRepresent the water age of node i, j, q respectivelyijRepresent the pipeline flow between node i and j, LijRepresent the pipeline section pipe range between node i and j, vijRepresent the pipe section flow rate between node i and j;
Q can be obtained by compensating computationij、Lij、vij
Terminal tap water quality detection method based on GIS the most according to claim 2, it is characterised in that
During solving pipe network frontier node water age, start to calculate water age from the node being associated with water source node, only the most unknown for age to water, and node known to water age of all adjacent nodes of this node of flow direction carries out water calculating in age.
CN201610140534.3A 2016-03-11 2016-03-11 Pipe network tip water quality simulation method based on GIS Pending CN105825047A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201610140534.3A CN105825047A (en) 2016-03-11 2016-03-11 Pipe network tip water quality simulation method based on GIS

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201610140534.3A CN105825047A (en) 2016-03-11 2016-03-11 Pipe network tip water quality simulation method based on GIS

Publications (1)

Publication Number Publication Date
CN105825047A true CN105825047A (en) 2016-08-03

Family

ID=56987927

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201610140534.3A Pending CN105825047A (en) 2016-03-11 2016-03-11 Pipe network tip water quality simulation method based on GIS

Country Status (1)

Country Link
CN (1) CN105825047A (en)

Cited By (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108975467A (en) * 2018-07-27 2018-12-11 苏州市自来水有限公司 Secondary chlorination method based on current age of the node
CN110010209A (en) * 2019-05-06 2019-07-12 重庆昕晟环保科技有限公司 A kind of calculation method of secondary water-supply water storage apparatus outlet residual chlorine concentration
CN110204021A (en) * 2019-06-06 2019-09-06 清华大学 A kind of water,tap water quality support method based on user feedback
CN110264067A (en) * 2019-06-18 2019-09-20 重庆昕晟环保科技有限公司 A kind of calculation method of secondary water-supply water storage apparatus inlet flow rate
CN110502869A (en) * 2019-07-15 2019-11-26 哈尔滨工业大学 Ensure the benefit chlorine method of long distance water transfer Biostability of Water Quality in Network
CN111143992A (en) * 2019-12-25 2020-05-12 深圳市东深电子股份有限公司 Water age monitoring system and method for water supply pipe network
CN111177873A (en) * 2019-10-11 2020-05-19 东南大学 Modeling method of water supply pipe network reliability model
CN111402081A (en) * 2020-06-03 2020-07-10 浙江和达科技股份有限公司 DMA data management system
CN113761752A (en) * 2021-09-15 2021-12-07 上海城市水资源开发利用国家工程中心有限公司 Total chlorine guarantee method and system for secondary water supply and storage equipment based on water age control
CN117313588A (en) * 2023-11-30 2023-12-29 浙江和达科技股份有限公司 Water age determining method and device for secondary water supply tank and electronic equipment

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPS63290959A (en) * 1987-05-22 1988-11-28 Hitachi Ltd Automatic monitoring device for water quality
JP2009192340A (en) * 2008-02-14 2009-08-27 Dkk Toa Corp Water quality measuring apparatus
CN102045381A (en) * 2010-10-13 2011-05-04 北京博大水务有限公司 On-line monitoring system for regenerated water pipe network
CN102175827A (en) * 2011-01-19 2011-09-07 上海衡伟信息技术有限公司 On-line pipe network water quality analyzer
CN102306021A (en) * 2011-08-16 2012-01-04 上海交通大学 Joint debugging and joint control method for guaranteeing biosafety of pipe network water quality based on real-time ArcGis
CN103018416A (en) * 2012-12-05 2013-04-03 天津大学 Water quality on-line monitoring and prediction method for water supply pipe network

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPS63290959A (en) * 1987-05-22 1988-11-28 Hitachi Ltd Automatic monitoring device for water quality
JP2009192340A (en) * 2008-02-14 2009-08-27 Dkk Toa Corp Water quality measuring apparatus
CN102045381A (en) * 2010-10-13 2011-05-04 北京博大水务有限公司 On-line monitoring system for regenerated water pipe network
CN102175827A (en) * 2011-01-19 2011-09-07 上海衡伟信息技术有限公司 On-line pipe network water quality analyzer
CN102306021A (en) * 2011-08-16 2012-01-04 上海交通大学 Joint debugging and joint control method for guaranteeing biosafety of pipe network water quality based on real-time ArcGis
CN103018416A (en) * 2012-12-05 2013-04-03 天津大学 Water quality on-line monitoring and prediction method for water supply pipe network

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
何文杰: "《安全饮用水保障技术》", 31 March 2006 *
李寻: "《基于节点水龄的供水管网水质研究》", 《中国给水排水》 *
王永: "《供水管网水龄的逐节点遍历简化算法》", 《计算机工程与应用》 *

Cited By (15)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108975467B (en) * 2018-07-27 2021-10-01 苏州市自来水有限公司 Secondary chlorination method based on node water age
CN108975467A (en) * 2018-07-27 2018-12-11 苏州市自来水有限公司 Secondary chlorination method based on current age of the node
CN110010209A (en) * 2019-05-06 2019-07-12 重庆昕晟环保科技有限公司 A kind of calculation method of secondary water-supply water storage apparatus outlet residual chlorine concentration
CN110204021A (en) * 2019-06-06 2019-09-06 清华大学 A kind of water,tap water quality support method based on user feedback
CN110264067A (en) * 2019-06-18 2019-09-20 重庆昕晟环保科技有限公司 A kind of calculation method of secondary water-supply water storage apparatus inlet flow rate
CN110502869A (en) * 2019-07-15 2019-11-26 哈尔滨工业大学 Ensure the benefit chlorine method of long distance water transfer Biostability of Water Quality in Network
CN110502869B (en) * 2019-07-15 2022-07-12 哈尔滨工业大学 Chlorine supplementing method for guaranteeing biological stability of water quality of long-distance water delivery pipe network
CN111177873A (en) * 2019-10-11 2020-05-19 东南大学 Modeling method of water supply pipe network reliability model
CN111177873B (en) * 2019-10-11 2024-03-08 东南大学 Modeling method of water supply network reliability model
CN111143992A (en) * 2019-12-25 2020-05-12 深圳市东深电子股份有限公司 Water age monitoring system and method for water supply pipe network
CN111143992B (en) * 2019-12-25 2023-08-22 深圳市东深电子股份有限公司 Water age monitoring system and method for water supply network
CN111402081A (en) * 2020-06-03 2020-07-10 浙江和达科技股份有限公司 DMA data management system
CN113761752A (en) * 2021-09-15 2021-12-07 上海城市水资源开发利用国家工程中心有限公司 Total chlorine guarantee method and system for secondary water supply and storage equipment based on water age control
CN117313588A (en) * 2023-11-30 2023-12-29 浙江和达科技股份有限公司 Water age determining method and device for secondary water supply tank and electronic equipment
CN117313588B (en) * 2023-11-30 2024-02-23 浙江和达科技股份有限公司 Water age determining method and device for secondary water supply tank and electronic equipment

Similar Documents

Publication Publication Date Title
CN105825047A (en) Pipe network tip water quality simulation method based on GIS
Walski et al. Water distribution modeling
CN109918787B (en) Finite volume method based simulation method for gas-liquid two-phase homogeneous mass flow in water delivery pipeline
Soltani et al. Developing operating rules for reservoirs considering the water quality issues: Application of ANFIS-based surrogate models
CN110807540A (en) Method for predicting corrosion rate in natural gas pipeline
CN104133958B (en) Complicated pipe network analog simulation calculation method and complicated pipe network analog simulation calculation device
CN106202765A (en) A kind of public supply mains DMA Real-time modeling set method
CN105760695B (en) The prediction technique of hydrogen sulfide yield in drainage pipeline
CN104820745A (en) Organic chemical exposure level forecasting method for surface water environment medium
CN103617563B (en) A kind of water supply network theoretical based on geo-statistic spatial analysis is without monitoring node pressure determination statement
Nazir et al. Energy consumption predictions by genetic programming methods for PCM integrated building in the tropical savanna climate zone
CN103353295B (en) A kind of method of accurately predicting dam dam body vertical deformation amount
CN112012728A (en) Method for determining flow velocity of polymer in reservoir interstitial space
Canale et al. Stochastic phosphorous model for Onondaga Lake
Deyi et al. Applying the FAVAD concept and leakage number to real networks: A case study in Kwadabeka, South Africa
CN103455721A (en) Recursive ridge ELM (Extreme Learning Machine) based predication method of gas velocity of loading point for packed column
CN111022937B (en) Water pipe network leakage positioning system and positioning method
Rai et al. Analysis of water distribution network using EPANET
Preis et al. Online hydraulic state prediction for water distribution systems
CN103970610A (en) Method for monitoring node flow of water supply network
Kumar Tyagi et al. Estimation of Hazen Williams’s constant for a residential water distribution network; GMDH and PSO approach
Darweesh Impact of optimized pump scheduling on water quality in distribution systems
Neagoe et al. Genetic algorithm calibration of the transient flow model for the water supply system of a hydropower plant
Shreedhar Modeling of residual chlorine for water distribution network for a pilot village
Wang et al. ACO optimizing neural network for macroscopic water distribution system modeling

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
RJ01 Rejection of invention patent application after publication
RJ01 Rejection of invention patent application after publication

Application publication date: 20160803