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  • Comparing volume concentration and mass concentration | Sequoia Scientific
    LISST compare to mass concentration in mg l And how do I convert µl l to mg l if I know the density in g cm3 the units do not seem to agree The answer is as follows A volume of 1 l equals 1000 ml or 1 000 000 µl So there are 1 000 µl ml and 1 ml 1 cm3 Therefore 1µl 1 10 3 cm3 Consequently a volume concentration of say 15 µl l is equal to 15 10 3 cm3 l Now if the density of the particles is 2 65 g cm3 then the mass concentration is computed as 15 10 3 cm3 l 2 65 g cm3 39 75 10 3g l 39 75mg l Voila You may also be interested in our article Converting LISST volume concentration to mass concentrations Questions to this application note Email us More in Library Library Articles Technical Papers Standards Our Newsletter Sign up to get the latest news on Sequoia and our products Home Products Product Overview LISST Instruments LISST 100X LISST ABS LISST Portable XR LISST Holo LISST Deep LISST StreamSide LISST STX LISST Hydro LISST Infinite LISST VSF LISST STOKES Optical VSF Sensors LISST

    Original URL path: http://www.sequoiasci.com/article/comparing-volume-concentration-and-mass-concentration/ (2016-02-13)
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  • Schlieren & LISSTs | Sequoia Scientific
    because the refractive index varies with density This scattering known as Schlieren can occur even if no particles are present in the water Consequently the use of LISSTs in regions with strong density gradients may lead to problems in interpreting the data are the data a result of scattering from particles or from density interfaces This problem can be answered if an independent way of getting particle size exists Digital camera techniques offer such a way In this work Mikkelsen et al measured the particle size and concentration with a camera and a LISST 100 in a pycnocline The results show that both instruments are influenced by the density differences from the pycnocline Schlieren causes automated image analysis routines to detect the Schlieren pattern as particles while it causes the laser from the LISST to scatter intensely at small angles thus being detected as large particles upon applying the inversion routine The images could be re analysed manually by omitting the parts of the images affected by Schlieren This demonstrated that there was in fact no increase in the size or concentration of particles in the pycnocline when compared to the size and concentration of particles above the pycnocline Buoyancy frequencies above 0 025 s 1 may cause increases in beam attenuation due to scattering from the density gradients and complete extinction of the laser beam occurred at buoyancy frequencies above 0 20 s 1 All instruments measuring light scattering can potentially be affected by density differences and results obtained in waters where buoyancy frequencies exceeds 0 025 s 1 should be interpreted carefully Questions to this article Email us More in Library Library Articles Technical Papers Standards Our Newsletter Sign up to get the latest news on Sequoia and our products Home Products Product Overview LISST Instruments LISST 100X

    Original URL path: http://www.sequoiasci.com/article/schlieren-lissts/ (2016-02-13)
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  • LISST-Portable | Categories | Sequoia Scientific
    StreamSide data file Assumes files are in LISST Portable or LISST StreamSide format with zscat data in columns 41 80 Read more vdcorr m October 31 2011 vdcorr m Sequoia October 31 2011 MATLAB script to correct 1 vd from invert p for the correct VCC can be found in the InstrumentData txt file or in the LOG file for LISST Portable and LISST StreamSide 2 vd to the laser Read more Maximum current draws for LISSTs June 29 2011 LISST Current Draws Sequoia June 29 2011 The table lists the current draws in mA for different LISST instruments under various scenarios powering up idling sampling and sleeping Power Up Idling Sampling Sleeping LISST 100X Read more Laser Diffraction 201 LISST April 15 2011 How LISST works Sequoia April 15 2011 1 The Ring Detector 2 How Particle Sizes and Measurement Angles are Selected 3 Origin of the Matrix Formulation It s just algebra 4 Inversion of Data the Information Content Read more Laser Diffraction 101 LISST April 14 2011 How LISST Works Sequoia April 14 2011 Laser Diffraction 101 Sequoia realizes that for some people the principle behind laser diffraction seems difficult to understand The purpose of this article and Laser Diffraction 201 Read more Previous Next More in About About Suspended Sediment Concentration and Particle Sizing Methods Course Staff News PiE Conference 2014 PiE Conference 2014 Customer List Newsletter Contact International Distributors Our Newsletter Sign up to get the latest news on Sequoia and our products Home Products Product Overview LISST Instruments LISST 100X LISST ABS LISST Portable XR LISST Holo LISST Deep LISST StreamSide LISST STX LISST Hydro LISST Infinite LISST VSF LISST STOKES Optical VSF Sensors LISST SL LISST 25X FlowControl Instruments FlowControl Lab FlowControl Sub Radiative Transfer Models EcoLight S HydroLight Accessories How to Buy

    Original URL path: http://www.sequoiasci.com/article_category/lisst-portable/page/2/ (2016-02-13)
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  • LISST-SL | Categories | Sequoia Scientific
    various scenarios powering up idling sampling and sleeping Power Up Idling Sampling Sleeping LISST 100X Read more Laser Diffraction 201 LISST April 15 2011 How LISST works Sequoia April 15 2011 1 The Ring Detector 2 How Particle Sizes and Measurement Angles are Selected 3 Origin of the Matrix Formulation It s just algebra 4 Inversion of Data the Information Content Read more Laser Diffraction 101 LISST April 14 2011 How LISST Works Sequoia April 14 2011 Laser Diffraction 101 Sequoia realizes that for some people the principle behind laser diffraction seems difficult to understand The purpose of this article and Laser Diffraction 201 Read more LISST SL DATA from Cowlitz River March 2011 March 1 2011 The LISST SL measures the Volume Distribution of particles in 32 size classes just like any other LISST Additionally it measures the temperature depth and current velocity Consequently it is straightforward to plot profiles of the size distribution Read more The Influence of Particles Outside the Size Range of the LISST February 23 2011 The Influence of Particles Outside the Size Range of the LISST Sequoia February 23 2011 A question that Sequoia often gets asked is What happens when the suspension contains particles outside the measurement range The short answer Read more Previous Next More in About About Suspended Sediment Concentration and Particle Sizing Methods Course Staff News PiE Conference 2014 PiE Conference 2014 Customer List Newsletter Contact International Distributors Our Newsletter Sign up to get the latest news on Sequoia and our products Home Products Product Overview LISST Instruments LISST 100X LISST ABS LISST Portable XR LISST Holo LISST Deep LISST StreamSide LISST STX LISST Hydro LISST Infinite LISST VSF LISST STOKES Optical VSF Sensors LISST SL LISST 25X FlowControl Instruments FlowControl Lab FlowControl Sub Radiative Transfer Models EcoLight S HydroLight

    Original URL path: http://www.sequoiasci.com/article_category/lisst-sl/page/2/ (2016-02-13)
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  • LISST-STX | Categories | Sequoia Scientific
    there are two types of errors Random errors and Bias errors Random errors can be averaged out whereas bias errors cannot see figure Read more vdcorr m October 31 2011 vdcorr m Sequoia October 31 2011 MATLAB script to correct 1 vd from invert p for the correct VCC can be found in the InstrumentData txt file or in the LOG file for LISST Portable and LISST StreamSide 2 vd to the laser Read more Maximum current draws for LISSTs June 29 2011 LISST Current Draws Sequoia June 29 2011 The table lists the current draws in mA for different LISST instruments under various scenarios powering up idling sampling and sleeping Power Up Idling Sampling Sleeping LISST 100X Read more Laser Diffraction 201 LISST April 15 2011 How LISST works Sequoia April 15 2011 1 The Ring Detector 2 How Particle Sizes and Measurement Angles are Selected 3 Origin of the Matrix Formulation It s just algebra 4 Inversion of Data the Information Content Read more Laser Diffraction 101 LISST April 14 2011 How LISST Works Sequoia April 14 2011 Laser Diffraction 101 Sequoia realizes that for some people the principle behind laser diffraction seems difficult to understand The purpose of this article and Laser Diffraction 201 Read more Previous Next More in About About Suspended Sediment Concentration and Particle Sizing Methods Course Staff News PiE Conference 2014 PiE Conference 2014 Customer List Newsletter Contact International Distributors Our Newsletter Sign up to get the latest news on Sequoia and our products Home Products Product Overview LISST Instruments LISST 100X LISST ABS LISST Portable XR LISST Holo LISST Deep LISST StreamSide LISST STX LISST Hydro LISST Infinite LISST VSF LISST STOKES Optical VSF Sensors LISST SL LISST 25X FlowControl Instruments FlowControl Lab FlowControl Sub Radiative Transfer Models EcoLight S HydroLight Accessories

    Original URL path: http://www.sequoiasci.com/article_category/lisst-stx/page/2/ (2016-02-13)
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  • getscat_lp_lss.m | Sequoia Scientific
    data file converted from binary cscat is corrected scattering r is the zsc laser pow laser ref ratio OAM 5 27 2009 OAM 7 28 2010 OAM 8 22 2011 removed dcal as input unnecessary as it can be specified by i type OAM 10 20 2011 removed conversion to LISST 100X data format function scat tau zsc data cscat r getscat lp lss datafile readfile itype if nargin 1 readfile 1 itype 3 end if itype 3 dcal 1 0000000e 000 1 0038000e 000 9 9360000e 001 1 0027000e 000 9 9720000e 001 9 9570000e 001 9 9030000e 001 9 9430000e 001 9 9290000e 001 9 9000000e 001 9 9290000e 001 9 9300000e 001 9 9150000e 001 9 9300000e 001 9 9230000e 001 9 9090000e 001 1 1032000e 000 1 1123000e 000 1 2430000e 000 1 1562000e 000 1 3273000e 000 1 1999000e 000 1 0740000e 000 1 7489000e 000 1 5382000e 000 2 5109000e 000 2 5468000e 000 3 5504000e 000 3 9338000e 000 4 9731000e 000 5 7183000e 000 8 7255382e 000 else dcal 1 0000000e 000 1 0038000e 000 9 9360000e 001 1 0027000e 000 9 9720000e 001 9 9570000e 001 9 9030000e 001 9 9430000e 001 9 9290000e 001 9 9000000e 001 9 9290000e 001 9 9300000e 001 9 9150000e 001 9 9300000e 001 9 9230000e 001 9 9090000e 001 1 1032000e 000 1 1123000e 000 1 2430000e 000 1 1562000e 000 1 3273000e 000 1 1999000e 000 1 0740000e 000 1 7489000e 000 1 5382000e 000 2 5109000e 000 2 5468000e 000 3 5504000e 000 3 9338000e 000 4 9731000e 000 5 7183000e 000 6 9546000e 000 end if readfile 1 data tt2mat datafile 80 read in the 80 column wide datafile else data datafile end rows size data 1 zsc data 41 80

    Original URL path: http://www.sequoiasci.com/article/getscat_lp_lss-m/ (2016-02-13)
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  • get_bf.m | Sequoia Scientific
    100X RingArea xxxx ASC file where xxxx is serial number HK3Scale mW laser power entering water per digital count in factory zscat variable 36 Look it up in LISST INI for your serial HK4Scale HK4Off pressure scales and offsets for calibration of pressure sensor Look it up in LISST INI for your serial path cm path length in cm usually 5 for a LISST 100 100X X set X 1 for a LISST 100X any other value for a LISST 100 OAM edits 12 09 08 to correct error for dividing by zscat laser reference when computing P0 OAM edits 4 4 11 to minor unnecessary pre allocations etc function bf c a press time scat cscat laserPowerEnteringWater zsc data get bf datafile zscfile ringareafile HK3Scale HK4Scale HK4Off path X scat tau zsc data cscat getscat datafile zscfile X ringareafile use getscat to obtain the scattering and tau r c size scat dcal load ringareafile load ringarea file if r 40 c 1 if there s only one measurement dcal dcal end laserPowerEnteringWater data 36 HK3Scale this is now laser power entering water in units of mW press data 37 HK4Scale HK4Off compute the depth in calibrated units of m using factory supplied constants from LISST INI file mins fix data 40 100 secs data 40 100 mins days fix data 39 100 hours data 39 100 days compute time time days hours 24 mins 24 60 secs 24 60 60 create decimal date time pre allocate bf ones r 1 Compute forward scattering coefficient up to max range covered by LISST for i 1 r bf i 3 2e 4 sum cscat i division by tau already done in computing scat at this stage b has units of mW m Constant of 3 2e 4 is from combining detector

    Original URL path: http://www.sequoiasci.com/article/get_bf-m/ (2016-02-13)
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  • compute_mean.m | Sequoia Scientific
    2 2 5 rho 1 32 upper limit for type C bins 3 sqrt bins 1 bins 2 mid point for type C dias32 bins 3 upperBins bins 2 bin64 19 elseif type 4 bins 1 7 5 rho 0 31 lower limit for type FLOC bins 2 7 5 rho 1 32 upper limit for type FLOC bins 3 sqrt bins 1 bins 2 mid point for type FLOC dias32 bins 3 upperBins bins 2 bin64 12 elseif type 5 try dias32 load P LISST Portable XR Production Documentation Firmware Release System Folder Contents DIAS44 ASC catch dias32 load tsclient P LISST Portable XR Production Documentation Firmware Release System Folder Contents DIAS44 ASC end upperBins dias32 2 dias32 2 bin64 32 elseif type 21 dias32 1 0863095E 00 1 1800684E 00 1 2819196E 00 1 3925615E 00 1 5127528E 00 1 6433178E 00 1 7851518E 00 1 9392274E 00 2 1066013E 00 2 2884211E 00 2 4859336E 00 2 7004934E 00 2 9335718E 00 3 1867670E 00 3 4618154E 00 3 7606031E 00 4 0851790E 00 4 4377689E 00 4 8207907E 00 5 2368710E 00 5 6888629E 00 6 1798660E 00 6 7132474E 00 7 2926647E 00 7 9220913E 00 8 6058433E 00 9 3486097E 00 1 0155484E 01 1 1031999E 01 1 1984166E 01 1 3018514E 01 1 4142136E 01 1 5362737E 01 1 6688688E 01 1 8129081E 01 1 9693793E 01 2 1393555E 01 2 3240023E 01 2 5245859E 01 2 7424818E 01 2 9791841E 01 3 2363161E 01 3 5156411E 01 3 8190744E 01 4 1486970E 01 4 5067691E 01 4 8957463E 01 5 3182959E 01 5 7773156E 01 6 2759530E 01 6 8176276E 01 7 4060540E 01 8 0452671E 01 8 7396504E 01 9 4939656E 01 1 0313385E 02 1 1203529E 02 1 2170500E 02 1 3220931E 02 1 4362023E 02 1 5601603E 02 1 6948170E 02 1 8410959E 02 2 0000000E 02 mid points column 1 and upper bins column 2 for type B randomly shaped upperBins dias32 2 dias32 2 bin64 25 elseif type 31 dias32 2 05970200000000 2 24514560000000 2 43230210000000 2 64942550000000 2 87230560000000 3 12650330000000 3 39190560000000 3 68948780000000 4 00550140000000 4 35384800000000 4 73009660000000 5 13783860000000 5 58577110000000 6 06300100000000 6 59623700000000 7 15475600000000 7 78949630000000 8 44310160000000 9 19861620000000 9 96343760000000 10 8626460000000 11 7575380000000 12 8276990000000 13 8746990000000 15 1482290000000 16 3730940000000 17 8885440000000 19 3213720000000 21 1245810000000 22 8005400000000 24 9460180000000 26 9061980000000 29 4587530000000 31 7511540000000 34 7878410000000 37 4685340000000 41 0809620000000 44 2154340000000 48 5125080000000 52 1772370000000 57 2884200000000 61 5727100000000 67 6518960000000 72 6600100000000 79 8901240000000 85 7437830000000 94 3422470000000 101 183530000000 111 408760000000 119 403490000000 131 562600000000 140 904290000000 155 362280000000 166 276700000000 183 467320000000 196 217880000000 216 656550000000 231 550520000000 255 849720000000 273 245460000000 302 132940000000 322 448340000000 356 788790000000 380 511100000000 mid points column 1 and upper bins column 2 for type C randomly shaped upperBins dias32 2 dias32 2 bin64 21 else error You must specify a number 1

    Original URL path: http://www.sequoiasci.com/article/compute_mean-m/ (2016-02-13)
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