
9ca527151de853234873829d1efa4ba2.ppt
- Количество слайдов: 32
Storm Damage Assessment Protocol Developers 1997 -2006 n USDA FS, Northeastern Area, Center for Urban & Community Forestry n Davey Resource Group
Overview Quick Shot Sampling Protocol Estimating Engine Report Means Data Collection
Quick shot
What’s this all about? Easy and accurate estimate üTree storm damage üCosts for recovery Data quality and integrity Simple method Quick reporting
Context of use Planning üFramed by overall natural disaster plan n FEMA funding: Pre-Disaster Mitigation Program n Tree Emergency Plan Worksheet (Burban) Recovery üFirst 24 hours üResponse to state emergency agency
Pre-storm setup üCreate random sample n Before emergency! n Use electronic or manual means üMeasure tree density and size class n Within ROW n Also 50’ back from ROW edge üTake final steps n Pre-Storm report form: useful estimate n Storage for future use
Post-storm work Revisit sample segments ü Record for all trees within 50’ of ROW n Choose method of estimating debris (by segment) ¨ ¨ Indirect by average crown loss class § 0 -25%, 26 -50%, etc. § Historical records form basis § Loss category images available from FS Direct as CY of debris n Hazard pruning by size class n Hazard removal by size class ü Paper or PDAs Enter data, report results
Sampling protocol
Based on random sampling General discussion earlier Storm type üTested for ice storms n Low variance n 2% sample got within 5% of true value in field test üNot tested for wind storms n Larger variance n May affect required sample size Area of ongoing i-Tree research
Estimating Engine
Spreadsheet Estimator built as Excel® spreadsheet ü 6 worksheets n Home/Read. Me – navigation, help n Pre. Storm Data – setup data n Pre. Storm Analysis – preliminary analysis n Post. Storm Data – damage data n Post. Storm Analysis – report form n Codes, lookup tables – functional elements Use of Excel® based on user survey
Hyperlinks for easy navigation
Report Means
Procedure Estimation üStarts with field data üUses local costs üScales up with simple formulas Calculation page = report üCredibility üEase, speed
Validation Sampling indicated on report üMeans of random sampling üPercent of street miles sampled Numbers derived right on sheet üDebris üPruning, removal Local costs shown
These values can be adjusted by end user
Data Collection
Data collection Means üPaper forms üPDAs
Paper forms
Manual data entry Easiest to use Excel’s entry form ü Highlight top row of headers ü On menu, click Data Form ü Ignore any error message! Can also just start typing at cell A 1
Paper advantages Low cost No technical training No batteries Tough Always have backup to electronic Currently only way to record nonlinear plots
Paper disadvantages Error-prone üDecipherment üQA harder Can be slower in field Much slower in office
PDAs
Hardware i-Tree only supports Pocket PC operating system Cost ü $200 -400 or more Making the choice ü Online n Search “PDA review” n CNET. com, PCMAG. com, etc. ü Local merchant
Software: handheld Installed on handheld through Start menu Data uploaded automatically during synchronization Details in Manual
Software: desktop Management of data and applications Simple, intuitive Details in Manual
Desktop interface Installs with single double-click Requires user input üCommunity name üStreet mileage üRandom selection file location üNew Interface makes this automatic Places field data into spreadsheet
PDA Advantages Fast data collection Low error rate No data entry Many processes automated
PDA Disadvantages Up-front equipment expense Training required Low battery life in cold üSome PDAs have battery packs available Units not protected üPlastic freezer bag often sufficient üWaterproof cases (e. g. , Otter) available
Exercise!