CN103902833A - Speculation method for offshore ocean hypoxic conditions - Google Patents

Abstract

The invention discloses a speculation method for offshore ocean hypoxic conditions. The method includes the steps that firstly, data of the water depth terrain, the water body spring layer, bottom layer dissolved oxygen, remote sensing surface layer chlorophyll and the like of a working area are obtained; secondly, grid division is performed on the working area, historical data are sampled again according to the months and grids, and statistics of the mean value and the minimum value is performed; thirdly, time series data which are measured in real time by upper and lower buoy sets on an offshore ocean spring layer are obtained, and an equivalent chlorophyll value is calculated; fourthly, dissolved oxygen values of other grid points in the working area are calculated by combining a buoy point and a statistical correlation model with the equivalent chlorophyll value; fifthly the hypoxic range is calculated based on the dissolved oxygen values of all the grid points, and the hypoxic degree is calculated based on the minimum dissolved oxygen value of the working area. According to the speculation method for the offshore ocean hypoxic conditions, a hypoxic single-point buoy is used for observing the data, chlorophyll water color remote sensing image data are combined, and the hypoxic range and the hypoxic degree of the working area are given.

Description

A kind of estimation method of coastal ocean hypoxemia situation

Technical field

The present invention relates to a kind of measuring method of coastal ocean hypoxemia situation, relate in particular to the measuring method that a kind of integrated buoy observation and satellite remote sensing date carry out target area bottom dissolved oxygen DO, as desired in economic mode, add up empirical model by foundation, utilize the top layer chlorophyll information that satellite remote sensing is obtained to calculate target area water bottom dissolved oxygen levels, obtain timely and effectively the relevant informations such as hypoxemia scope and degree.

Background technology

Anoxic (Hypoxia) refers to that the content of oxygen in water environment is consumed in a large number in reduced levels or oxygen.Conventionally the water body that dissolved oxygen DO (Dissolved oxygen, DO) concentration is less than to 3.0mg/L is called hypoxemia water body.The hypoxemia phenomenon of immediate offshore area, usually occur in river mouth and offshore shelf marine site, the coastal waters eutrophication that it and mankind's activity cause, the hydrologic factors such as Haihe River water run-off in each season, nutriment, monsoon and upward flow are closely related with entering, and belong to seasonal hypoxia.Inshore hypoxemia phenomenon just became and has affected one of disaster of marine eco-environment sound development since the fifties in last century, occurrence frequency only monitored hypoxemia generation before nineteen fifty in nearly 20 sea areas, be no less than 400 sea areas hypoxemia occur to existing in global range at the beginning of 21 century, area coverage exceedes 245,000km ², mainly concentrate on the inshore, the Northern Hemisphere that densely populated degree is high, nutriment discharge capacity is large (Diaz and Rosenberg, 2008).

Dissolved oxygen DO is environmental parameter important in marine ecosystems, is the material conditions that in ocean, most of biologies are depended on for existence, extremely important to maintaining marine ecosystems.Distribution, variation and temperature, salinity, biological activity and the water sports etc. of Dissolved Oxygen in Seawater concentration are closely related, significant to the state of ecological environment in understanding sea area.The appearance of hypoxemia problem usually causes stratobios amount to reduce, local species miniaturization, and cause fish morbidity rate to increase, bio-diversity reduces, change and the destruction of finally causing ecosystem structure.In China, hypoxemia phenomenon is the seasonal environmental problem in entrance of Changjiang River and surrounding waters thereof.At the end of the nineties, Li Daoji etc. (2002) are low to moderate 1.0mg/l at Changjiang Estuary domain discovery Dissolved Oxygen in Water, and the oxygen-starved area area of Dissolved Oxygen in Water 2.0mg/l can reach 13,700km2.Chen Zhendong etc. (2007) think, it is relevant that the organism that the hypoxemia phenomenon of entrance of Changjiang River and surrounding waters thereof is carried with this region source of students organism and river is deposited to bottom water body.The seasonal hypoxemia in this region also relates to Changjiang Diluted Water diffusion, stratification intensity, the invasion of kuroshio water, upward flow, nutritive salt supply, organic matter (comprising terrestrial organic matter) level and transports and the factor relevant (opening through et al. 2010) such as continental shelf width, landform.

The formation of hypoxemia phenomenon is a complicated process, is subject to the joint effect of many factors.It is generally acknowledged, water body stratification is the external physical background that anoxic forms, and bottom organic matter decomposition oxygen consumption is biomass geochemistry internal cause (Rabalais, et al., 2010 of anoxic formation and development; Zhu et al., 2011)., there is degradation under certain condition in the large amount of organic that sediment or water bottom contain, consumes a large amount of oxygen, causes dissolved oxygen DO to reduce.If but water body exchange is fine, the oxygen that biodegradation consumes can be supplemented timely, ocean also can not form hypoxemia phenomenon.So biodyne is not to cause the necessary condition of ocean hypoxemia.In ocean, the formation in hypoxemia district also needs the existence of physical factor, exchanges, thereby can not get effectively supplementing after bottom being dissolved consume such as, water body stratification makes bottom water body be difficult to the water body higher with upper strata dissolved oxygen, causes the formation in hypoxemia district.This stratification comprises salinity stratification, temperature stratification etc., generally in waters, river mouth temperature higher season, a large amount of high temperature, less salt, low-density fresh water cover top layer, easily make the high salt of bottom, high density seawater form independent water body, cause stratification, make top layer oxygen be difficult to exchange with bottom.Therefore in ocean the formation in hypoxemia district also with the physical factors relevant (Wang, 2009) such as the topography and geomorphology in waters, flow field, temperature.Thereby water column (body) stratification refers to formation halocline (or pycnocline) interface, the vertical exchange of water body is stoped, and is the necessary condition that anoxic forms.Generally, in wind-force weak spring, water down in a large number water and enter bay from river mouth, easily form halocline (or pycnocline), stop the vertical mixture and exchange of water body, along with the temperature rises, stratification peaked in summer.The river mouth bottom water seasonal hypoxias such as entrance of Changjiang River only betide the water body below pycnocline, are generally formed at the end of spring and the beginning of summer, peak in midsummer, at the beginning of autumn late summer, finish, and have obvious seasonal characteristic.

The seasonal hypoxemia phenomenon in river mouth has year and Seasonal, and scope, thickness and the hypoxemia degree of region hypoxemia is subject to the control of various environmental factors.Observe hypoxemia phenomenon: the feature of Satellite Remote Sensing is that spatial coverage is large, and synchronousness is good, and the resolution of space-time is higher; Boats and ships monitoring has advantages of monitoring parameter at most and obtains the quality of data the highest, but its spatial coverage is few, and synchronousness is poor, and spatial and temporal resolution is also lower; Anchor is that buoy is the unique effective means that realizes oxygen-starved area water body section ecology and environmental parameter long term monitoring, but it is subject to the restriction of platform and sensor two large technical factors.Thereby the space distribution of cognitive hypoxemia and hypoxemia degree scientifically and rationally, is effectively to utilize to greatest extent various monitoring measures, analyze hypoxemia development and evolution rule and variation tendency thereof.

Summary of the invention

The object of the invention is for the deficiencies in the prior art, a kind of measuring method of coastal ocean hypoxemia situation is provided.

The object of the invention is to be achieved through the following technical solutions: a kind of measuring method of coastal ocean hypoxemia situation, comprises the steps:

(1) obtain the historical survey data for many years such as perform region depth of water landform, water body spring layer, bottom dissolved oxygen DO and remote sensing top layer chlorophyll;

(2) grid division is carried out in perform region, by month and grid to historical data resampling, average statistical and minimum value;

(3) obtain and be positioned at temperature, salinity, dissolved oxygen DO, the chlorophyll equal time sequence data that the upper and lower buoy group of coastal ocean spring layer is measured in real time;

(4) with the degree of depth of buoy and the temperature of measuring in real time, salinity annual average calculate spring layer intensity;

(5) obtain within the scope of perform region and the buoy time series chlorophyll remote sensing average view data of the same period, calculate equivalent chlorophyll test value;

(6) set up the statistical dependence model of any two points in grid with Dissolved Oxygen in Water balance;

(7) with the dissolved oxygen value of other net points of buoy point and statistical dependence models coupling equivalence chlorophyll test value evaluation work region;

(8) calculate the area of hypoxemia with the dissolved oxygen value of grid each point, calculate hypoxemia degree with the minimum dissolved oxygen value in perform region.

Further, in described step (6), take the dissolved oxygen DO balance equation of the following water body of coastal ocean spring layer as basis, consider water body initial dissolution oxygen degree, vertical and the oxygen exchange of horizontal direction and the organism oxygen consumption of water body and substrate, in conjunction with historical survey data, set up dissolved oxygen DO statistical model, calculate the oxygen consumption difference between diverse location with the difference of equivalent chlorophyll concentration on different net points.

The invention has the beneficial effects as follows, the present invention has provided that integrated single-point buoy is observed and satellite remote sensing date carries out the measuring method of target area bottom dissolved oxygen DO, in economic mode, add up empirical model by foundation, utilize the top layer chlorophyll data that single-point buoy Real-Time Monitoring and satellite remote sensing are obtained to calculate target area bottom dissolved oxygen levels, obtain timely and effectively the relevant information such as area and degree relevant with hypoxemia.

Accompanying drawing explanation

Fig. 1 is the framework map of the estimation method of coastal ocean hypoxemia situation of the present invention;

Fig. 2 is the FB(flow block) of the measuring method of coastal ocean hypoxemia situation;

Fig. 3 is the schematic diagram of application gridding measuring and calculating target area coastal ocean hypoxemia situation.

Embodiment

Dissolved oxygen DO is environmental parameter important in marine ecosystems, is the material conditions that in ocean, most of biologies are depended on for existence, extremely important to maintaining marine ecosystems.Conventionally the water body that dissolved oxygen concentration is less than to 3.0mg/L is called hypoxemia water body.The formation of hypoxemia phenomenon is a complicated process, is subject to the joint effect of many factors.It is generally acknowledged, the formation of water hypoxia is relevant with bottom organic matter decomposition oxygen consumption with water body stratification.The former is the external physical background that anoxic forms, and the latter is the biomass geochemistry internal cause of anoxic formation and development.

During seasonal hypoxemia, there is stratification phenomena in target area water body, makes top layer oxygen be difficult to exchange with bottom dissolved oxygen DO.Utilize single-point monitering buoy, can calculate the dissolved oxygen levels of other positions of bottom water body, target area in conjunction with satellite remote sensing water colour data.The seasonal hypoxemia situation of coastal ocean is inferred, comprised hypoxemia scope and hypoxemia degree.As shown in Figure 1, system comprises that hypoxemia oceanographic buoy, satellite ground station, the buoy information processing terminal, human-computer interaction terminal, the hypoxemia information processing terminal and communication network form.Hypoxemia oceanographic buoy utilizes data link and mail server to send Monitoring Data to the buoy information processing terminal, Ocean Color Remote Sensing data are sent to satellite ground station by Ocean Color Remote Sensing satellite, and satellite ground station, mail server and the information processing terminal interconnect by internet.

The estimation method of a kind of coastal ocean hypoxemia of the present invention situation, comprises the following steps:

1, obtain the historical survey data for many years such as perform region depth of water landform, water body spring layer, bottom dissolved oxygen DO and remote sensing top layer chlorophyll;

Determine target perform region scope, obtain the depth of water landform of perform region, the historical survey data for many years such as water body spring layer, bottom dissolved oxygen DO and remote sensing top layer chlorophyll in different months, water body spring layer information comprises spring layer intensity and the depth of pycnocline during month occurs hypoxemia.

2, grid division is carried out in perform region, by month and grid to historical data resampling, average statistical and minimum value;

Target perform region scope is carried out to the space networks subdivision of formatting by longitude and latitude direction.During month occurs hypoxemia, by month and net point, the depth of water, spring layer intensity, depth of pycnocline, bottom dissolved oxygen DO, top layer chlorophyll are carried out to resampling, the average of each net point above-mentioned parameter and minimum value within the scope of computing grid; The mean depth of calculating dissolved oxygen DO minimum value place place, is decided to be with reference to the depth of water; Calculate the spring layer strength mean value that bottom dissolved oxygen DO is less than 3.0mg/L position, be decided to be with reference to spring layer intensity, obtain hypoxemia month and duration that perform region bottom dissolved oxygen DO is less than 3.0mg/L.

3, obtain and be positioned at temperature, salinity, dissolved oxygen DO, the chlorophyll equal time sequence data that the upper and lower buoy group of coastal ocean spring layer is measured in real time;

Buoy group is positioned at target perform region scope, avoids being arranged in historical data dissolved oxygen DO minimal value and maximum value near zone; Buoy group at least comprises 2 water body subsurface buoys, arranges pre-test water body depth of pycnocline in subsurface buoy, and water body subsurface buoy lays respectively at the both sides up and down of buoy loca depth of pycnocline position, records the degree of depth of upper and lower buoy; The measured value of subsurface buoy at least comprises temperature, salinity, dissolved oxygen DO, chlorophyll; Survey frequency more than 2 times is measured interval even in one day, and the time series of measured value is greater than 3 days, at least comprises each 1 day of hypoxemia supposition date front and back.

4, with the degree of depth of buoy and the temperature of measuring in real time, salinity annual average calculate spring layer intensity;

Calculate the depth difference that buoy group is positioned at water body spring layer both sides subsurface buoy, calculate the annual average of 2 measured temperature of subsurface buoy, salinity, at least comprise each 1 day of hypoxemia supposition date front and back, judge whether spring layer intensity is greater than with reference to spring layer intensity.

5, obtain within the scope of perform region and the buoy time series chlorophyll remote sensing average view data of the same period, calculate equivalent chlorophyll test value;

Obtain within the scope of target perform region and the buoy time series chlorophyll satellite remote sensing date of the same period, mean data can be monthly average value, first quarter moon mean value etc., the time of the moon or first quarter moon must not be later than hypoxemia and infer first 1 day of date, in the time that the locus of chlorophyll satellite remote sensing spatial resolution and gridding is inconsistent, chlorophyll data are carried out to gridding resampling, calculate equivalent chlorophyll.

The dissolved oxygen depletion amount R that organism causes _orelevant with bottom organic concentration, can be expressed as:

R ₀=r _ogk _gg

Wherein, r _ogfor the carbon-oxygen ratio of organism oxygen consumption, k _gfor carbon content coefficient in organism, g is bottom organism amount, expresses again with the chlorophyllous function in top layer:

g=h×C ^chl+g'

Wherein, C ^chlbe the top layer chlorophyll data of remote sensing observations, h is the organic coefficient of top layer chlorophyll estimation bottom, and g' is a little correction, can ignore.

The zmount of oxygen consumption difference that identical organism causes in the water body of different depth, organism oxygen consumption need to carry out degree of depth correction.Thereby, adopt depth value to calculate chlorophyll test value correction bottom organism oxygen consumption of equal value:

k ^chl=h×|d-d ₀|/d _o×(r _ogk _g)

Wherein, k ^chlbe and the organic coefficient of oxygen consuming of top layer chlorophyll revised bottom of equal value, d _ofor with reference to the depth of water, d is the net point depth of water to be calculated, other coefficients (hr in availability coefficient k Unified Expression formula _ogk _g).

6, set up the statistical dependence model of any two points in grid with Dissolved Oxygen in Water balance;

Set up the following Dissolved Oxygen in Water balance equation of spring layer, dissolved oxygen DO balance equation comprises the horizontal O of initial dissolution oxygen _pre(mg/L), dissolved oxygen DO vertical diffusion effect O _ver(mg/L), dissolved oxygen levels diffusional effect O _lat(mg/L), dissolved oxygen DO water body oxygen consumption O _wc(mg/L), dissolved oxygen DO Oxygen Consumption By Sediments O _sed(mg/L):

O _obs=O _pre+O _ver+O _lat-O _wc-O _sed

Wherein, O _obsit is Dissolved Oxygen in Water measured value.

Set

for history investigation bottom dissolved oxygen DO average statistical, for the arbitrary mess point a within the scope of perform region, and dissolved oxygen DO relationship expression between the buoy point b place net point of arranging within the scope of target perform region is as follows:

$O_{\mathrm{pre}}^a-O_{\mathrm{pre}}^b\≈{\stackrel{\‾}{O}}_{\mathrm{pre}}^a-{\stackrel{\‾}{O}}_{\mathrm{pre}}^b$

$O_{\mathrm{sed}}^a-O_{\mathrm{sed}}^b\≈{\stackrel{\‾}{O}}_{\mathrm{sed}}^a-{\stackrel{\‾}{O}}_{\mathrm{sed}}^b$

$O_{\mathrm{ver}}^a\≈O_{\mathrm{ver}}^b$

Wherein,

the water body initial dissolution oxygen value of net point a,

the water body initial dissolution oxygen value of buoy point b place net point,

the water body initial dissolution oxygen average of the historical same period of net point a,

the water body initial dissolution oxygen average of the historical same period of buoy point b place net point,

the Oxygen Consumption By Sediments value of net point a, the Oxygen Consumption By Sediments value of buoy point b place net point, the Oxygen Consumption By Sediments average of the historical same period of net point a,

the Oxygen Consumption By Sediments average of the historical same period of buoy point b place net point,

the dissolved oxygen DO vertical diffusion amount of net point a,

it is the dissolved oxygen DO vertical diffusion amount of buoy point b place net point.

Dissolved oxygen DO water body oxygen consumption and horizontal proliferation effect in following spring layer Dissolved Oxygen in Water balance equation are expressed as to historical investigation bottom dissolved oxygen DO average statistical and its deviation delta O, and dissolved oxygen DO balance equation can be expressed as:

$O_{\mathrm{obs}}=O_{\mathrm{pre}}+O_{\mathrm{ver}}-O_{\mathrm{sed}}+{\stackrel{\‾}{O}}_{\mathrm{lat}}+\mathrm{\Δ}{O}_{\mathrm{lat}}-{\stackrel{\‾}{O}}_{\mathrm{wc}}-\mathrm{\Δ}{O}_{\mathrm{wc}}$

Wherein,

historical investigation Dissolved Oxygen in Water horizontal proliferation quantitative statistics average, Δ O _latbe and the departure of horizontal proliferation amount average statistical,

historical investigation water body oxygen utilization average statistical, Δ O _wcit is the departure with water body oxygen utilization average statistical.

The arbitrary mess point a within the scope of target perform region, and dissolved oxygen DO relation between the buoy point b place net point of arranging within the scope of perform region can be rewritten as historical investigation bottom dissolved oxygen DO average statistical and its deviation, as shown in the formula:

$O_{\mathrm{obs}}^a-O_{\mathrm{obs}}^b\≈{\stackrel{\‾}{O}}_{\mathrm{obs}}^a-{\stackrel{\‾}{O}}_{\mathrm{obs}}^b+\mathrm{\Δ}{O}_{\mathrm{lat}}^a-\mathrm{\Δ}{O}_{\mathrm{lat}}^b+\mathrm{\Δ}{O}_{\mathrm{wc}}^b-\mathrm{\Δ}{O}_{\mathrm{wc}}^a$

Wherein,

the Dissolved Oxygen in Water level of net point a,

the Dissolved Oxygen in Water level of buoy point b place net point,

the average statistical of the Dissolved Oxygen in Water level of net point a,

the average statistical of the Dissolved Oxygen in Water level of buoy point b place net point, the departure of net point a and horizontal proliferation amount average statistical,

the departure of buoy point b place net point and horizontal proliferation amount average statistical,

be buoy point b place net point with departure water body oxygen utilization average statistical, it is the departure of net point a and water body oxygen utilization average statistical.

The measures of dispersion of the consumption that the oxygen process of water column is mainly caused by organism and the horizontal proliferation effect relevant with Dissolved Oxygen in Water position is relevant.The water body oxygen consumption variable quantity of other positions and buoy place water body oxygen consumption variable quantity are expressed as:

$\mathrm{\Δ}{O}_{\mathrm{wc}}^b-\mathrm{\Δ}{O}_{\mathrm{wc}}^a=k_b^{\mathrm{Chl}}\×C_b^{\mathrm{Chl}}-k_a^{\mathrm{Chl}}\×C_a^{\mathrm{Chl}}$

Wherein,

the revised k of the buoy point b place net point degree of depth ^chl,

the revised kchl of the net point a degree of depth,

the top layer chlorophyll data of buoy point b place net point, the top layer chlorophyll data of net point a.

Thereby the Dissolved Oxygen in Water level of other positions and buoy place dissolved oxygen levels have statistic correlation:

$O_{\mathrm{est}}^a=\mathrm{\Δ}{O}_{\mathrm{obs}}^b+\mathrm{\Δ}{\stackrel{\‾}{O}}_{a-b}+k_b^{\mathrm{Chl}}\×C_b^{\mathrm{Chl}}-k_a^{\mathrm{Chl}}\×C_a^{\mathrm{Chl}}+\mathrm{\Δ}{O}_{\mathrm{lat}}^a-\mathrm{\Δ}{O}_{\mathrm{lat}}^b$

Wherein,

the Dissolved Oxygen in Water guess value of net point a, that the net point observed quantity of buoy point b place is investigated the poor of dissolved oxygen DO average statistical with history, the poor of history between net point a and buoy point b place net point investigation bottom dissolved oxygen DO average statistical.

In conjunction with each net point remote sensing top layer chlorophyll and the dissolved oxygen DO statistics of the historical same period, the O in the formula in omit step 5 _latwith Δ O _lat, calculate the coefficient k of each net point with above-mentioned Formula Solution, and the average of the coefficient k calculating using each net point is as the unified coefficient k using of each point in inferring.

At this, we have shown a kind of coastal ocean hypoxemia RS statistics model of observing based on single-point buoy.

7. with the dissolved oxygen value of other net points of buoy point and statistical dependence models coupling chlorophyll test value evaluation work of equal value region;

Integrating step 5 and step 6, by grid cycle calculations each point chlorophyll test value of equal value and water body oxygen consumption, and carry out the operation of dissolved oxygen levels diffusional effect.

Owing to lacking the direct measurement of dissolved oxygen levels diffusional effect, the Δ O between net point a and buoy point b place net point _latdifference adopts 0.1 mg/L, and that to be unit carry out mathematics to each net point is level and smooth, makes the Dissolved Oxygen in Water gradient after level and smooth meet this net point dissolved oxygen DO gradient condition of the historical same period.

8. calculate the area of hypoxemia with the dissolved oxygen value of grid each point, calculate hypoxemia degree with the minimum dissolved oxygen value in perform region.

The about 40008km of meridian L total length of the earth, in the area of dimension A, is 111.13 kilometers of every degree in the length of warp-wise, and dimension is to apart from l being:

l=L×cos(A)/360

The area of grid cell (square kilometre) be:

s=12350.614×x×y×cos(A)

X is warp-wise unit grid length (degree), and y is warp-wise unit grid length (degree).

Use buoy observed data, by hypoxemia degree and the length of hypoxemia duration, set up the hypoxemia harm indication parameter of offshore sea waters based on buoy real time data, this parameter is with the extent of injury of 1 to 5 expression hypoxemia, and 1 for the slightest, and 5 for the most serious.

The syntagmatic of the hypoxemia extent of injury and duration sees the following form:

Table 1

The present invention utilizes single-point buoy observed data, in conjunction with remote sensing image data, has provided area and the degree of perform region hypoxemia.

Below, we illustrate specific embodiment of the invention form with reference to accompanying drawing.

Fig. 1 is the frame diagram that represents the estimation method of a kind of coastal ocean hypoxemia situation relevant with the invention process form.Frame diagram comprises human-computer interaction terminal 1, Ocean Color Remote Sensing satellite 2, satellite ground station 3, hypoxemia oceanographic buoy 4, the buoy information processing terminal 5, communication network 6 and the hypoxemia information processing terminal 7.User, determining behind perform region, utilizes human-computer interaction terminal 1 deal with data, collects and the historical enquiry data in the region of dealing with the work.Ocean Color Remote Sensing satellite 2 is by water colour data transmission to satellite ground station 3, and satellite ground station 3 is preserved chlorophyll mean data by agreement filename and file path.Hypoxemia oceanographic buoy 4 is transferred to the buoy information processing terminal 5 by wireless network by Real-time Monitoring Data.The hypoxemia information processing terminal 7 is by Network Capture and process historical enquiry data, Ocean Color Remote Sensing data and buoy real-time monitored data.Satellite ground station, the buoy information processing terminal, human-computer interaction terminal and the hypoxemia information processing terminal interconnect by internet.

Fig. 2 is the FB(flow block) of the measuring method of coastal ocean hypoxemia situation.User obtains the historical enquiry data in perform region by step 1, and data comprise depth of water landform, water body spring layer, bottom dissolved oxygen DO and top layer chlorophyll etc.; Utilize human-computer interaction terminal gridding and calculate water body spring layer and average and the minimum of bottom dissolved oxygen DO by step 2, determine the locus of perform region dissolved oxygen DO minimum value.Utilize hypoxemia oceanographic buoy 4 and the buoy information processing terminal 5 to obtain by step 3 temperature, salinity, dissolved oxygen DO, the chlorophyll equal time sequence data that buoy is measured, calculate the average of above-mentioned measurement data by agreement, preserve annual average data by agreement.Read the annual average data of buoy measurement temperature by step 4, calculate spring layer intensity, and infer the spring layer intensity of perform region with the spring layer intensity of floating-point loca; The annual average data that read buoy measurement bottom dissolved oxygen DO by agreement, judge whether floating-point loca occurs hypoxemia; User obtains the monthly mean value computation preservation of chlorophyll data of the perform region of satellite ground station processing by step 5; Calculate the equivalent chlorophyll on each nexus by step 6; The hypoxemia information processing terminal calculates the dissolved oxygen value of non-buoy place net point by step 5, calculate the dissolved oxygen value of whole grid by step 7, calculates dissolved oxygen DO scope and hypoxemia degree by step 8.

As shown in Figure 3, in an embodiment, perform region scope is east longitude 122-124, and north latitude 29.5-32.5 degree, in this spatial dimension, is spent by longitude 0.25, and dimension 0.3 is spent grid and turned to 50 × 100 net points.At longitude and latitude, buoy is set, buoy comprises 3 subsurface buoys, and it is upper and lower that subsurface buoy lays respectively at spring layer.

In an embodiment, Dissolved Oxygen in Water horizontal proliferation effect is processed and adopted 0.1mg/L, and that to be unit carry out mathematics to each net point is level and smooth, Dissolved Oxygen in Water gradient after making smoothly meets this net point dissolved oxygen DO gradient condition of the historical same period: the dissolved oxygen DO gradient condition in region, onshore, minimum dissolved oxygen DO position is for being less than the every degree of 4.0mg/L longitudinal, and the dissolved oxygen DO gradient condition in region, onshore, minimum dissolved oxygen DO position is for being less than the every degree of 8.0mg/L longitudinal.

The invention is not restricted to above example, in the invention scope of recording, can carry out all changes in claims, these changes are also contained in scope of the present invention certainly, and this is self-evident.

Claims (5)

1. an estimation method for coastal ocean hypoxemia situation, is characterized in that, comprises the steps:

(1) obtain the historical survey data for many years such as perform region depth of water landform, water body spring layer, bottom dissolved oxygen DO and remote sensing top layer chlorophyll;

(2) grid division is carried out in perform region, by month and grid to historical data resampling, average statistical and minimum value;

(3) obtain and be positioned at temperature, salinity, dissolved oxygen DO, the chlorophyll equal time sequence data that the upper and lower buoy group of coastal ocean spring layer is measured in real time;

(4) with the degree of depth of buoy and the temperature of measuring in real time, salinity annual average calculate spring layer intensity;

(5) obtain within the scope of perform region and the buoy time series chlorophyll remote sensing average view data of the same period, calculate and the organic coefficient of oxygen consuming of top layer chlorophyll revised bottom of equal value;

(6) set up the statistical dependence model of any two points in grid with Dissolved Oxygen in Water balance;

(7) with the dissolved oxygen value of other net points of buoy point and statistical dependence models coupling equivalence chlorophyll test value evaluation work region;

(8) calculate hypoxemia scope with the dissolved oxygen value of grid each point, calculate hypoxemia degree with the minimum dissolved oxygen value in perform region.

2. the estimation method of a kind of coastal ocean hypoxemia situation according to claim 1, is characterized in that, in described step (1), described water body spring layer information comprises spring layer intensity and the depth of pycnocline information during month occurs hypoxemia.

3. the estimation method of a kind of coastal ocean hypoxemia situation according to claim 1, is characterized in that, described step (2) is specially: target perform region scope is carried out to the space networks subdivision of formatting by longitude and latitude direction.During month occurs hypoxemia, by month and net point, the depth of water, spring layer intensity, depth of pycnocline, bottom dissolved oxygen DO, top layer chlorophyll are carried out to resampling, the average of each net point above-mentioned parameter and minimum value within the scope of computing grid; The mean depth of calculating dissolved oxygen DO minimum value place place, is decided to be with reference to the depth of water; Calculate the spring layer strength mean value that bottom dissolved oxygen DO is less than 3.0mg/L position, be decided to be with reference to spring layer intensity, obtain hypoxemia month and duration that perform region bottom dissolved oxygen DO is less than 3.0mg/L.

4. the estimation method of a kind of coastal ocean hypoxemia situation according to claim 1, is characterized in that, in described step (5), the described and organic coefficient of oxygen consuming of top layer chlorophyll revised bottom of equal value obtains by following formula:

k ^chl=h×|d-d ₀|/d _o×(r _ogk _g)

Wherein, k ^chlbe and the organic coefficient of oxygen consuming of top layer chlorophyll revised bottom of equal value, d _ofor with reference to the depth of water, d is the net point depth of water to be calculated, and h is the organic coefficient of top layer chlorophyll estimation bottom, r _ogfor the carbon-oxygen ratio of organism oxygen consumption, k _gfor carbon content coefficient in organism.

5. the estimation method of a kind of coastal ocean hypoxemia situation according to claim 1, is characterized in that, in the grid that described step (6) is set up, the statistical dependence model of any two points is:

$O_{\mathrm{est}}^a=\mathrm{\Δ}{O}_{\mathrm{obs}}^b+\mathrm{\Δ}{\stackrel{\‾}{O}}_{a-b}+k_b^{\mathrm{Chl}}\×C_b^{\mathrm{Chl}}-k_a^{\mathrm{Chl}}\×C_a^{\mathrm{Chl}}+\mathrm{\Δ}{O}_{\mathrm{lat}}^a-\mathrm{\Δ}{O}_{\mathrm{lat}}^b$

Wherein,

the Dissolved Oxygen in Water guess value of net point a,

that the net point observed quantity of buoy point b place is investigated the poor of dissolved oxygen DO average statistical with history, the poor of history between net point a and buoy point b place net point investigation bottom dissolved oxygen DO average statistical,

the revised k of the buoy point b place net point degree of depth ^chl,

the revised k of the net point a degree of depth ^chl,

the top layer chlorophyll data of buoy point b place net point,

the top layer chlorophyll data of net point a,

the departure of net point a and horizontal proliferation amount average statistical,

it is the departure of buoy point b place net point and horizontal proliferation amount average statistical.

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