 Technology basics – review  Limitations of LD Technology in general  Limitations of LISST instruments  What can go wrong in data/operations  What.

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Presentation transcript:

 Technology basics – review  Limitations of LD Technology in general  Limitations of LISST instruments  What can go wrong in data/operations  What can go wrong in interpretation  Analysis of your experiences –  Tim Straub; Mark Landers

 All LD technology provides PSD and Concentration of an ensemble of particles  ‘A view in a flash’  LISST and all other LD instruments are NOT particle counters, and NOT samplers.

 ISO was written only for PSD  Summing PSD gives concentration over the size range

 Particles of ANY size produce light on ALL rings  Light on a particular ring does NOT represent concentration of any particular size particle.  Common misunderstanding

 Scattering from randomly shaped grains differ slightly from same- size spheres; this changes the size scale  All pre-Sequoia work produced PSD of equivalent spheres  Only Sequoia offers inversion to give PSD of ‘sieved sizes’.  Using the randomly shaped matrices enables comparison with existing, historical SIEVE data sets Randomly shaped Agrawal et al (JGR)

- Upper and lower size limits - Cannot discriminate types of particles

 Upper size limit derives from smallest ring  Lower size limit derives from largest ring

 Particles Leak into the nearest size bins  This often produces rising tails in PSD  More so for particles smaller than the smallest size bin of the LISST

 Particles, bubbles, algae, etc. but also density fluctuations caused by temperature variance  Density-related scattering (‘scintillation’) invents large particles.  Scintillation is avoided by letting water and LISST reach identical temperature. This is common to all LD systems. Sediment flocs in the Po River, Italy Schlieren / Scintillation BubblesPhyto- and zoo- plankton

 All LD systems measure volume distribution  Converting to mass requires the user to ASSUME an effective mass density and then apply that  Easier in the lab, where all particles can be dispersed (ISO 13320:2009).  Not easy with field data where aggregates, bubbles, low- density biological particles can be present

 Concentration limits  Limits exists in the field  Optimum accuracy at optical transmission between 0.3 and 0.98  For –SL: upper limit (mg/l) = 300*d[µm]  For –SS: 200*d[µm]  Lower limit limited by signal-to-noise ratio  Size range may not cover all particles in suspension  Clogging of intakes for pumped instruments  LISST-StreamSide  LISST-SL  Velocity limits for isokinetic sampling and general operation (-SL only)

 Misalignment of optics  Low zscat laser power, increased zscat scattering on inner rings constant in time  Dirty windows  Increased zscat scattering on middle rings  Poor temperature equilibrium - scintillation  Increased scattering on inner rings, decreasing in time  Clogging of intake by debris  Clogging of pitot tube by debris (-SL only)

 LISST-SL pump not locked in, still adjusting during sampling  Lock-in ~ 2 minutes after immersion when powered  After lock-in isokinetic control is better than 10% as set at factory  Minimum river velocity for isokinetic operation is 0.5 m/s [1.65 ft/s]  Purging of bleed port not adequate  Erratic velocity readings on TCB

 Eddies change instantaneous flow direction  The component of drag normal to river flow produces side-ways drift of -SL  Because USGS samplers weight >> drag, they are pushed less in sideways direction  A look at video of –SL always shows wake of ‘sail’ aligned with flow.  Even so, for operation in higher velocity rivers, extra weight will be needed.  Sequoia to design.

 Short LISST-SL time series is an issue  Makes interpretation and troubleshooting more difficult  Measurement duration should be >> time-scale of local eddies  Presence of loosely aggregated particles  Density << 2.65  Affects conversion from volume to mass!  Particles outside the size range  Will influence computation of size parameters (mean, median etc.)  Will overestimate total concentration

 Concentration gradients exist everywhere, in the field and lab  [Rouse (1937) showed C ~ z –ku*/w f ]  To avoid, turbulent velocity fluctuations >> settling velocity  Location of intake pump in a gauging station will affect measured PSD [see Cowlitz/Puyallup river data]  Even in the lab, concentration gradients make calibrations and comparisons very difficult.

Vertical variation of size distribution seen in Cowlitz (also Puyallup) river

 Size distributions from different methods CANNOT be compared.  The pipette method will always produce smaller diameters than LD for the same sample: Konert & Vandenberghe 1997  Same applies to Sedigraph and Sieving  LD PSD should be compared to LD PSD only  Discrepancies WILL occur (except for spheres)  Use literature to evaluate if observed differences > expected  Sample analysis in the lab changes the size distribution compared to the in-situ data (settling, sonification, in-situ aggregation etc.)

 Mass density of in-situ particles is not the same as the density of the same particles in the lab when disaggregated  Calculating an effective in-situ density using water samples is an effective method for converting in-situ volume to mass

Arctic Rivers (Droppo et al., 1998) No single grains > ~10 µm All in situ particles > 10 µm were flocs

LD has strengths and limitations. Data suggest the possibility of flocs in-situ. Remains to examine data to be presented.