CN103424106B - River tidal bore automatic detection and real-time forecasting method based on water level and flow velocity - Google Patents
River tidal bore automatic detection and real-time forecasting method based on water level and flow velocity Download PDFInfo
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- CN103424106B CN103424106B CN201310379107.7A CN201310379107A CN103424106B CN 103424106 B CN103424106 B CN 103424106B CN 201310379107 A CN201310379107 A CN 201310379107A CN 103424106 B CN103424106 B CN 103424106B
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- 238000001514 detection method Methods 0.000 title abstract description 11
- 238000011144 upstream manufacturing Methods 0.000 claims abstract description 14
- 230000001419 dependent effect Effects 0.000 abstract 1
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Abstract
The invention relates to a river tidal bore automatic detection and real-time forecasting method based on the water level and flow velocity. In the prior art, a single-signal river tidal bore automatic detection method is limited in detection capacity, inaccurate in detection and not high in precision. The river tidal bore automatic detection and real-time forecasting method comprises the steps of tidal bore automatic detection and real-time forecasting. In the tidal bore automatic detection step, when the water level is increased and increased continuously, the interval between the time when water level data start to be increased and the time when a corresponding tidal bore reaches the day before is larger than 24 hours, and a flow velocity meter measures whether the flow velocity flow direction is the reverse direction, whether a tidal bore reaches is judged. In the real-time forecasting step, according to the information of time when the corresponding tidal bore reaches all stations the day before and the information of real time when the tidal bore reaches downstream stations in the same day, the time when the radial bore reaches upstream stations is forecasted. The river tidal bore automatic detection and real-time forecasting method based on the water level and flow velocity is high in accuracy of tidal bore automatic detection, and solves the problem that forecasting methods are overly dependent on astronomical rules.
Description
Technical field
The invention belongs to test technique automatic field, specifically a kind of river tidal bore based on water level and flow velocity detects and Real-time Forecasting Method automatically, can be used for river tidal bore and automatically monitors and real-time prediction early warning.
Background technology
The Qiantang River flows into the East Sea at Hangzhou Wan, and wide interior narrow outside river mouth, wide place reaches 100 kms, and narrow place only has a few km.Seawater just enters Haikou, and the water surface is wide, and more more by the constraint of two sides, river landform, seawater have to gush and amass, and more long-pending higher, and the river that the Qiantang River is flowed out in addition is stopped, promotes that again water level increases, as one upright waterwall.When seawater when below constantly pours in, just define back rise and catch up with front wave, the grand scene of the folded wave of a wave, surging, spectacular, become the whole world the most grand maximum tide.Meanwhile, Qianjiang tidewater volume people event was almost never stopped over the past thousands of years, and number wrecked because of tidewater every year just has more than ten people.For preventing Qiantang River tidewater volume people, local government and personage among the people have organized " crying out damp team " specially, and establish warning poster at dangerous area, warn visitor to take care.Although there is certain effect, Qiantang River tidewater " is eaten people's event " and is never stopped.Therefore, the early warning of river tidal bore monitoring and prediction just becomes very meaningful for protecting visitor and the life of people across the Straits and the safety of property.
At present, the river tidal bore automatic testing method detectability of single signal is limited, also exists and detects the problems such as inaccurate, precision is not high.Such as, water-level gauge has been installed at each key position of the bank of Qiangtang River by Hangzhou hydrographic water resource monitoring master station.In the ordinary course of things, can effectively automatically be detected tidal bore by the change of water level.Such as, but owing to there is the factor of other influences water level, upstream discharges water, heavy rain etc., and the change only by water level judges that tidal bore easily causes erroneous judgement.For the forecast of tidal bore, the method for Hangzhou hydrographic water resource monitoring master station forecast use at present the next day, the Time Forecast tidal bore in this day namely arriving each website by tidal bore the previous day arrives the time of each website.The next day forecasting procedure according to being the astronomical rule of tide, but after tidal bore enters rivers, except being subject to the effect of astronomical rule, also be subject to the multiple factor comprehensive effect such as upland water, wind-force, wind direction, air pressure, the next day forecast the impact that brings of short term variations that cannot effectively solve these factors, therefore, the value of forecasting of this method is often unsatisfactory.
Summary of the invention
For the limitation of prior art, the invention provides a kind of river tidal bore based on water level and flow velocity and automatically detect and Real-time Forecasting Method.The change that the present invention is based on water level and flow velocity realizes the automatic detection of tidal bore, greatly increases accuracy.Meanwhile, the problem that the next day that Real-time Forecasting Method provided by the invention solving, the value of forecasting is not good.
The present invention includes tidal bore automatically to detect and real-time prediction two aspect.
1. wherein, the tidal bore of a kth website is detected automatically comprise the steps:
Step 1: read real time water level data, current time
, judge whether waterlevel data increases; If waterlevel data does not increase, continue step 1; If waterlevel data increases, enter step 2.
Step 2: judge whether the interval of the time that current time and tidal bore the previous day arrive is greater than 24 hours; If interval is less than 24 hours, then think that this waterlevel data increases not tidal bore and causes and (analyze from astronomical rule, adjacent two days corresponding tide differences about 24 hours 50 minutes, though river tidal bore has lost the astronomical characteristic of tide, but tide can not be departed from more than 50 minutes), therefore go back to step 1; If interval is more than or equal to 24 hours, then enter step 3.
Step 3: judge whether waterlevel data continues to increase; If waterlevel data non-continuous increase, then think that this waterlevel data increases and caused (when tidal bore arrives, water level goes up and should be the process of continuous rise) by interference, therefore go back to step 1; If waterlevel data continues to increase, proceed to step 4.
Step 4:: judge that whether flow velocity reverse according to current meter: if flow velocity is reverse, then think this waterlevel data increase not tidal bore cause (without in tidal bore situation, Qiantang River river by upstream flow to downstream; When tidal bore arrives, river flows to upstream by downstream, and also namely flow velocity is reverse), go back to step 1; If flow velocity is reverse, be then judged as that tidal bore arrives this website, the current time in recording step 1
for tidal bore arrives the time of a kth website
.
2. known rivers set up
individual website
, the real-time prediction of tidal bore is comprised the steps:
Step 1: search the time that corresponding tidal bore the previous day (the corresponding diurnal tide of diurnal tide, the corresponding Evening Tide of Evening Tide) arrives each website
(wherein
for corresponding tidal bore the previous day arrives the
individual website
time), then corresponding tidal bore the previous day is from
individual website arrives the
the time of individual website is
.
Step 2: when
individual website
judge that tidal bore arrives this website, record tidal bore arrives the
individual website
time
.
Step 3: when
individual website
judge tidal bore arrive this website (
), record tidal bore arrives the
individual website
time
, and calculate this tidal bore from
individual website arrives the
the time of individual website
.
Step 4: respectively computational prediction is from the
individual website
arrive other each websites of upstream
time
.(because the front and back river course situation of two days can be considered identical, its Scour and Accretion can be ignored, and therefore, corresponding tidal bore in two days can be considered proportional relation in the travel-time of correspondent section).
Step 5: prediction the
individual website
each website of upstream
tidal bore be time of arrival
.
The invention has the beneficial effects as follows:
1. according to multiple condition (water level increase and continue to increase, waterlevel data starts to increase time tidal bore corresponding to the previous day time of arrival that interval is greater than 24 hours, current meter records flow velocity is reverse) judge that tidal bore arrives, add the accuracy that tidal bore detects automatically.
2. arrive the temporal information of each website according to corresponding tidal bore the previous day, and tidal bore on the same day arrives the real-time information of downstream website, forecast tidal bore arrives the time of upstream stations, solves forecasting procedure depending on unduly astronomical rule.
Accompanying drawing explanation
Fig. 1 is the automatic overhaul flow chart of tidal bore.
Fig. 2 is that schematic diagram is propagated in tidal bore.
Embodiment
Below in conjunction with accompanying drawing, method of the present invention is further described.
The present invention includes tidal bore automatically to detect and real-time prediction two aspect.
1. wherein, be illustrated in figure 1 the automatic overhaul flow chart of tidal bore, the tidal bore for a kth website automatically detects and comprises the steps:
Step 1: read real time water level data, current time
, judge whether waterlevel data increases; If waterlevel data does not increase, continue step 1; If waterlevel data increases, enter step 2.
Step 2: judge whether the interval of the time that current time and tidal bore the previous day arrive is greater than 24 hours; If interval is less than 24 hours, then think that this waterlevel data increases not tidal bore and causes and (analyze from astronomical rule, adjacent two days corresponding tide differences about 24 hours 50 minutes, though river tidal bore has lost the astronomical characteristic of tide, but tide can not be departed from more than 50 minutes), therefore go back to step 1; If interval is more than or equal to 24 hours, then enter step 3.
Step 3: judge whether waterlevel data continues to increase; If waterlevel data non-continuous increase, then think that this waterlevel data increases and caused (when tidal bore arrives, water level goes up and should be the process of continuous rise) by interference, therefore go back to step 1; If waterlevel data continues to increase, proceed to step 4.
Step 4:: judge that whether flow velocity reverse according to current meter: if flow velocity is reverse, then think this waterlevel data increase not tidal bore cause (without in tidal bore situation, Qiantang River river by upstream flow to downstream; When tidal bore arrives, river flows to upstream by downstream, and also namely flow velocity is reverse), go back to step 1; If flow velocity is reverse, be then judged as that tidal bore arrives this website, the current time in recording step 1
for tidal bore arrives the time of a kth website
.
2. be illustrated in figure 2 tidal bore and propagate schematic diagram, the known Qiantang River set up
individual website
, wherein
, the name of station of each website is as shown in table 1.
Table 1
| Website | Name of station | The previous day, corresponding tidal bore arrived the respective site time |
| Dong Jiangzha | =2013-08-06 22:36 | |
| 22 workshop sections | =2013-08-06 23:24 | |
| Salt official | =2013-08-06 23:48 | |
| Six workshop sections | =2013-08-07 00:01 | |
| Before storehouse | =2013-08-07 00:53 | |
| Seven forts | =2013-08-07 01:38 | |
| Sluice gate | =2013-08-07 02:19 | |
| Hear family weir | =2013-08-07 02:45 |
For the Qiantang River on August 7th, 2,013 23 to August, the real-time prediction of tidal bore of 3:30 process on the 8th comprises the steps:
Step 1: search the time that corresponding tidal bore the previous day (therefore corresponding tidal bore the previous day is that Evening Tide of on August 6th, 2013 to August 7 through the Qiantang River for the corresponding diurnal tide of diurnal tide, the corresponding Evening Tide of Evening Tide) arrives each website
(wherein
for corresponding tidal bore the previous day arrives the
individual website
time), the concrete time is as shown in table 1.Then corresponding tidal bore the previous day is from
individual website arrives the
the time of individual website is
, such as, corresponding tidal bore the previous day is from
individual website
(Dong Jiangzha) is arrived
individual website
the time of (22 workshop section) is
it is 48 minutes; Corresponding tidal bore the previous day is from
individual website
(salt official) arrives
individual website
the time of (six workshop sections) is
it is 13 minutes; Corresponding tidal bore the previous day is from
individual website
(six workshop sections) arrives
individual website
the time of (sluice gate) is
be 2 hours 18 minutes (namely 138 minutes).
Step 2: when
individual website
(Dong Jiangzha) judge that tidal bore arrives this website, record tidal bore arrives the
individual website
(Dong Jiangzha) time
(i.e. 23: 10 on the 7th August in 2013, all taking this temporal expressions mode below).
Step 3: when
individual website
judge tidal bore arrive this website (
), record tidal bore arrives the
individual website
time
, and calculate this tidal bore from
individual website arrives the
the time of individual website
.Such as, when
individual website
(six workshop sections) judges that tidal bore arrives this website, and record tidal bore arrives the
individual website
the time of (six workshop sections) is
, and calculate this tidal bore from
individual website
(salt official) arrives
individual website
the time of (six workshop sections)
being 12 minutes, (in algorithm implementation, recorded tidal bore arrives the
individual website
(salt official) time is
).
Step 4: respectively computational prediction is from the
individual website
arrive other each websites of upstream
time
.(because the front and back river course situation of two days can be considered identical, its Scour and Accretion can be ignored, and therefore, corresponding tidal bore in two days can be considered proportional relation in the travel-time of correspondent section).Such as, the example in step 3 is follow-up is: respectively computational prediction is from the
individual website
(six workshop sections) arrives other each websites of upstream
time
, such as predict from
individual website
(six workshop sections) arrives
individual website
the time of (sluice gate) is
.
Step 5: prediction the
individual website
each website of upstream
tidal bore be time of arrival
.Such as, the example in step 4 is follow-up is: prediction the
individual website
the tidal bore of (sluice gate) is time of arrival
.
This tidal bore arrives the
individual website
the real time of (sluice gate) is
.Visible, when tidal bore arrives the
individual website
time (six workshop sections), the is arrived to tidal bore
individual website
the predicated error of (sluice gate) is 6 minutes, within the error range that prediction allows.Along with tidal bore is in the time
arrive the
individual website
(before storehouse), to
individual website
the predicted time of (sluice gate) is updated to
, error is reduced into 2 minutes; When tidal bore is in the time
arrive the
individual website
(seven forts), to
individual website
the predicted time of (sluice gate) is updated to
, error is reduced into 0.
Claims (1)
1. the river tidal bore based on water level and flow velocity detects and a Real-time Forecasting Method automatically, comprises tidal bore and automatically detects and real-time prediction two parts, it is characterized in that:
Described tidal bore detects specifically automatically:
Step 1-1: real time water level data, current time t are read for a kth website
increase, judge whether waterlevel data increases; If waterlevel data does not increase, continue step 1-1; If waterlevel data increases, enter step 1-2;
Step 1-2: judge current time t
increasewhether the time interval arrived with tidal bore the previous day is greater than 24 hours; If the time interval is less than 24 hours, then thinks that this waterlevel data increases not tidal bore and causes, go back to step 1-1; If interval greater than equaling 24 hours, then enter step 1-3;
Step 1-3: judge whether waterlevel data continues to increase; If waterlevel data non-continuous increase, then think that this waterlevel data increases and caused by interference, go back to step 1-1; If waterlevel data continues to increase, proceed to step 1-4;
Step 1-4: judge that whether flow velocity is reverse according to current meter: if flow velocity is not reverse, then think that this waterlevel data increases not tidal bore and causes, go back to step 1-1; If flow velocity is reverse, be then judged as that tidal bore arrives this website, the current time t in recording step 1-1
increasefor tidal bore arrives the time t of a kth website
k;
Described real-time prediction is specifically: known rivers set up n+1 website S
0, S
1, S
2..., S
k..., S
n, the real-time prediction of tidal bore is comprised the steps:
Step 2-1: search the time t that corresponding tidal bore the previous day arrives each website
0', t
1', t
2' ..., t
k' ..., t
n-1', t
n', then the time that corresponding tidal bore the previous day arrives a jth website from i-th website is T
i,j'=t
j'-t
i', wherein t
k' be a corresponding tidal bore arrival the previous day kth website S
ktime, n>=j>i>=1;
Step 2-2: as the 0th website S
0judge that tidal bore arrives this website, record tidal bore arrives the 0th website S
0time t
0;
Step 2-3: as a kth website S
kjudge that tidal bore arrives this website, record tidal bore arrives a kth website S
ktime t
k, and calculate this tidal bore arrives kth website time T from kth-1 website
k-1, k=t
k-t
k-1, k=1,2 ..., n;
Step 2-4: computational prediction is from a kth website S respectively
karrive upstream other each websites S
jtime
Step 2-5: a prediction kth website S
kupstream each website S
jtidal bore time of arrival be t
j=t
k+ T
k,j.
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|---|---|---|---|
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|---|---|---|---|
| CN201310379107.7A CN103424106B (en) | 2013-08-27 | 2013-08-27 | River tidal bore automatic detection and real-time forecasting method based on water level and flow velocity |
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| CN110412312B (en) * | 2019-06-04 | 2021-05-11 | 浙江省水利河口研究院 | Calculation method for tidal bore flow velocity vertical distribution |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101403636A (en) * | 2008-10-21 | 2009-04-08 | 杭州电子科技大学 | River tidal surge detection method based on audio characteristic recognition |
| CN101441078A (en) * | 2008-12-25 | 2009-05-27 | 杭州电子科技大学 | River tidal bore subsection real time early warning method |
| CN103090855A (en) * | 2013-01-17 | 2013-05-08 | 杭州电子科技大学 | Method for determining arrival of tidal bore based on water velocity |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2709877B2 (en) * | 1992-04-17 | 1998-02-04 | 株式会社池畑組 | Dredger construction assistance method |
| JP4030372B2 (en) * | 2002-01-31 | 2008-01-09 | 株式会社東芝 | River water level prediction device |
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Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101403636A (en) * | 2008-10-21 | 2009-04-08 | 杭州电子科技大学 | River tidal surge detection method based on audio characteristic recognition |
| CN101441078A (en) * | 2008-12-25 | 2009-05-27 | 杭州电子科技大学 | River tidal bore subsection real time early warning method |
| CN103090855A (en) * | 2013-01-17 | 2013-05-08 | 杭州电子科技大学 | Method for determining arrival of tidal bore based on water velocity |
Non-Patent Citations (2)
| Title |
|---|
| 一种基于水流流速的钱塘江涌潮检测方法;徐翠飞等;《杭州电子科技大学学报》;20130630;第33卷(第3期);第57-60页 * |
| 钱塘江涌潮特性及其数值模拟;潘存鸿等;《水利水运工程学报》;20080630(第2期) * |
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