West Fork of the White River Stream Restoration Monitoring Dan DeVun Ecological Conservation Organization (501) 372-7895.

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1 Water discharge rate is monitored continually. 2 Sampling of stream and drainage water is made automatically or by grab sampling weekly while groundwater.

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Presentation transcript:

West Fork of the White River Stream Restoration Monitoring Dan DeVun Ecological Conservation Organization (501)

Collect water quality samples before, during, and after the implementation of the restoration project at locations upstream and downstream of the restoration site. Collect water quality samples before, during, and after the implementation of the restoration project at locations upstream and downstream of the restoration site. Introduction

Goals/Objectives - determine the effects of the restoration project on water quality - gain a better understanding for the chemical and physical dynamics of project area in the watershed - establish two water quality monitoring stations that are representative of the area and the restoration project - accurately determine nutrient and sediment loading at the monitoring stations

River has no mercy on costly instruments. Requires daily DISCHARGE data, therefore continuous STAGE data. Requires daily sample concentrations. No USGS Station Flashy River, short and steep hydrograph. LOADING Problems that we face

Development of Discharge Rating Curve Sontec Rivercat Marsh McBirnney Flowmate 2000 Wading Rod Objective: Determine river’s discharge at as many different river stages as possible to generate a correlation between river stage and river discharge.

Sampling Methods  Routine Sampling –Composite samples –One sample every 14 hours  Storm Sampling –Composite samples –One sample every two hours –Triggers 0.5 ft rise in 3 hours  Grab sampling –~ 1 every 7 days  Use auto sampler to continuously Monitor Stage

Results Stage – Discharge Rating Curve Sample Concentrations Loading Estimations

Stage Rating-Discharge Curve

Multiplicative Model R-square = 97.15% Correlation Coefficient = Q = *Level^

Sample Concentrations Analyses were determined from three types of samples; grab samples, composite samples and storm samples. Outliers for grab and composite samples were defined and then removed from the data set (3*STDEV).

Parameter WF-1WF-2 Grab Samples (mean) Grab Samples (mean) Orthophosphate (mg/L)0.008 Nitrate-Nitrogen (mg/L) TSS (mg/L)34 Turbidity (NTU)44 TP (mg/L) TKN (mg/L) Ammonia-Nitrogen (mg/L)0.011 Sulfate (mg/L) Chloride (mg/L)

Parameter WF-1WF-2 Composite Samples (mean) Composite Samples (mean) Orthophosphate (mg/L) Nitrate-Nitrogen (mg/L) TSS (mg/L)57 Turbidity (NTU)64 TP (mg/L) TKN (mg/L) Ammonia-Nitrogen (mg/L) Sulfate (mg/L) Chloride (mg/L)

Parameter WF-1 (17 Events) WF-2 (17 Events) Storm Samples (mean) Orthophosphate (mg/L) Nitrate-Nitrogen (mg/L) TSS (mg/L) Turbidity (NTU) TP (mg/L) TKN (mg/L) Ammonia-Nitrogen (mg/L) Sulfate (mg/L) Chloride (mg/L)

Loading Estimations Discharge was estimated for the project period. Loading was calculated from all samples by numeric integration method.

LOADING (lbs/project period) WF1 (lbs)WF2 (lbs) ORP5,7654,506 Nitrate113,752114,603 TSS11,938,98523,296,819 TP30,06560,917 TKN69,817129,365 NH34,5505,091 Sulfate968,0901,088,864 Chloride748,453705,720

Loading Estimations A sobering thought... Storm Event LoadingsWF1 (18 events)WF2 (22 events) TSS (lbs)9,056,50921,070,583 Compared Storms WF1 (17 events)WF2 (17 events) TSS (lbs)8,991,9618,053,128

Dan DeVun Ecological Conservation Organization (501)