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7 making use of existing data in river health assessment  cn
7 making use of existing data in river health assessment  cn
7 making use of existing data in river health assessment  cn
7 making use of existing data in river health assessment  cn
7 making use of existing data in river health assessment  cn
7 making use of existing data in river health assessment  cn
7 making use of existing data in river health assessment  cn
7 making use of existing data in river health assessment  cn
7 making use of existing data in river health assessment  cn
7 making use of existing data in river health assessment  cn
7 making use of existing data in river health assessment  cn
7 making use of existing data in river health assessment  cn
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7 making use of existing data in river health assessment cn

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  • 1. 在河流健康评估中使用现有数据澳大利亚 Chris Gippel 博士项目完工研讨会Ministry of Water Resources2012 February 23
  • 2. River health assessment Data gathering programs already existKey drivers Key responses•Hydrology •Biological •Social•Water quality – Fish – Production of goods – Macroinvertebrates – Recreation•Physical form – Algae – Drinking water•Riparian vegetation – etc.Indicators help inform Indicators reflect management performancemanagers how to act All indicator groups are useful
  • 3. Benefits / limitations of using existing dataBenefits LimitationsLow cost Site location is pre-determinedSystem will continue to provide data Few sites in each catchmentQuality control and staff training Most sites are on main stems andsystems established large tributariesData collected frequently Data have to be obtained from the program ownerHistorical data available For water quality, data might not contain the desired parameters
  • 4. How to incorporate existing data Hydrology and water quality station River health monitoring site
  • 5. Using the historical records quality Water Years Begin river Hydrology health program Years Biology Years
  • 6. Using the historical records quality Water Years Begin river Began e-flow Hydrology health program Years Biology Years
  • 7. Converting hydrology data to indicatorscoresNo e-flows study E-flows study done• Assume monthly data • Assume daily data available available • E-flows recommended• Assume data available before components define the regulation - “reference” “reference” hydrology hydrology • Measure the compliance of• Calculate ecologically the flow with the e-flows meaningful indicators components• Score from 0 - 1 • Score from 0 - 1
  • 8. Flow Health – monthly data Seasonality altered (SFS) 50th percentile in ref erence period Low f low season volume High f low season volume 25th percentile in greatly reduced (LFV) greatly reduced (HFV) ref erence period Taizihe – Liaoyang Year 1999/2000 800 High disturbance 700 Highest monthly f low Persistently 太子河 - 辽阳 , 人类干扰很 moderately reduced 大 0 ) high (PHF)3 1 6 600 f rom ref erence (HMF) Persistently low (PLF) and persistently 500 very low (PVL) 400 Lowest monthly f low 300 greatly reduced f rom ref erence (LMF) 200 m M w h n o y ( f t l 100 0 Nov Dec Jan Feb Mar Apr May Jun Jul Aug Sep Oct
  • 9. Flow Health – monthly data Seasonality intact (SFS) 50th percentile in ref erence period Low f low season volume High f low season 25th percentile in slightly reduced (LFV) volume OK (HFV) ref erence period Guijiang – Guilin Year 2007/2008 1200 Low disturbance 1000 Highest monthly 桂江 - 桂林,干扰 较小 0 ) f low OK (HMF)3 1 6 Persistently very 800 low OK (PVL) Persistently high OK (PHF) 600 Persistently low reduced (PLF) Lowest monthly 400 f low OK (LMF) m M w h n o y 200 ( f t l 0 Sep Oct Nov Dec Jan Feb Mar Apr May Jun Jul Aug
  • 10. Score relative to reference Deviation from reference range of variation Large Small Small V large Moderate V small Very small Frequency of observations in reference period Score = 1 Score = 0 Reference range of variation Minimum 25th 75th Maximum percentile percentile Low flow season hydrological attribute value Frequency of observations in reference period Minimum 25th 75th Maximum percentile percentile High flow season hydrological attribute value
  • 11. Converting water quality data to indicatorscoresPercent of time target met Weighted grade method• Set a target grade (I – V) • Weight each water quality• Calculate grade for each grade (I = 1.0….V = 0.0) month • Calculate grade for each• Calculate percent of months month reaching target grade • Calculate percent of months• Percent of time at target = reaching each grade score from 0 - 1 • For each grade, calculate percent of time X weighting • Add the weighted scores = score from 0 - 1
  • 12. Summary• Existing water quality and hydrology data help to tell the history of river health• Using existing data is inexpensive• Existing data can be combined with data from a site monitoring program• The indicator score calculations are very easy

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