# A laboratory-scale simulation framework for analyzing wildfire hydrologic and water quality effects

Contains information on experimental conditions for each tested soil sample during wildfire and rainfall simulations, as well as measured and calculated hydrologic and water quality responses.

## Dataset overview

Three datasets are included which contain all data used in post-simulation analyses:

- wildfire_simulation_data.tsv: Data measuring soil sample conditions during wildfire simulation, including soil moistures and weights, ambient weather, and metrics for each burn intensity characterization method assessed. Each row represents an individual burned soil sample.

- rainfall_simulation_data.tsv: Data measuring soil sample conditions during rainfall simulation, including terrain slope settings, nozzle sizes, and estimated precipitation amounts. Each row represents a specific rainfall event applied to a specific sample, i.e., different rainfall events applied to the same are represented on separate rows.

- hydr_wq_response_data.tsv: Measured and calculated response data at varying time intervals for each tested soil sample, including runoff, percolation, water quality constituents, and calculated precipitation. Each row represents an individual runoff sample collected from a specific rainfall simulation event, i.e., responses from one sample are represented by many rows, depending on how many runoff aliquots (iterations) were collected over the course of a rainfall event. Data may be aggregated for each sample to determine overall response from entire rainfall events.

## Data descriptions

Below are descriptions of individual variables for each dataset and their units, when applicable.

# wildfire_simulation_data.tsv

1	SampNum: Soil sample's identifying number
2	BurnSev: Original burn intensity characterization using the temperature-based scale and approximations of peak temperatures taken from observing data loggers during simulation
3	BurnSev_DL: Burn intensity characterization using the temperature-based scale and peak temperatures from samples' time-temperature
4	BurnSev_vis1: Burn intensity characterization using visual assessment
5	BurnSev_vis2: Burn intensity characterization using visual assessment by a secondary researcher
6	BurnSev_DH: Burn intensity characterization using calculated degree hours
7	BurnSev_DHmod: Burn intensity characterization using modified degree hours
8	BurnSev_lum: Burn intensity characterization using luminance values
9	SM_prc_bb: [%] Volumetric soil moisture percentage before burn simulations
10	DistBulbs: [cm] Distance between the top of soil surface and bottom of heat lamps
11	AmbTemp: [°C] Average ambient temperature during burn simulation
12	WindSpd:[km/hr] Average wind speed during burn simulation
13	MaxTemp: [°C] Approximated peak surface temperature achieved based on observation of data loggers during simulation
14	MassLoss: [%] Calculated percent mass loss during burn simulation
15	PrcBurned: [%] Percent total soil surface area burned, from visual inspection    
16	PrcGrey: [%] Percent total soil surface area that is grey in color, from visual inspection
17	PrcBlack: [%] Percent total soil surface area that is black in color, from visual inspection
18	PrcCons: [%] Percent total soil surface area that is fully combusted, from visual inspection
19	PrcBG: [%] Percent total soil surface area that is bare ground, from visual inspection
20	PrcVeg: [%] Percent total soil surface area that is intact vegetation, from visual inspection        
21	BurnDur: [min] Duration of burn simulation
22	MaxTemp_DL: [°C] Peak surface temperature from sample's time-temperature curve
23	MaxTempTime: [min] Time at which peak temperature was achieved, based on time-temperature curve
24	MaxTempSub: [°C] Peak subsurface temperature
25	MedTemp: [°C] Median surface temperature from entire time-temperature curve
26	DH: [°C-hr] Burn intensity metric calculated by interpolating under sample's entire time-temperature curve
27	DHmod: [°C-hr] Burn intensity metric calculated by interpolating under sample's time-temperature curve from beginning of burn to peak temperature
28	LumMean: [cd/m^2] Average inverse sample luminance (light reflectance)
29	LumMed: [cd/m^2] Median inverse sample luminance (light reflectance)
30	LumSkew: [cd/m^2] Skewness of inverse sample luminance (light reflectance)    
31	LumSD: [cd/m^2] Standard deviation of inverse sample luminance (light reflectance)

# rainfall_simulator_data.tsv

1	SoilID: Unique run-sample ID combining soil sample's identifying number and rainfall simulation run number
2	RunNum: Rainfall simulation number
3	SampNum: Soil sample's identifying number
4	TT: Variable specifying whether sample was one of four in each rainfall run selected for collection of smaller runoff aliquots ("Y" for yes and "N" for no)
5	Sch: Variable specifying whether row entry indicates the second, sequential rainfall applied to an individual soil sample ("Y" for yes and "N" for no)
6	SampPos: Sample position within rainfall simulator, numbered left to right as 1-4
7	Slope: Slope angle setting used during simulation
8	Nozzle: Nozzle size used during simulation
9	SM_prc_i: [%] Volumetric soil moisture percentage before rainfall simulation
10	SM_i: [mm] Soil moisture before simulation represented as a depth of water
11	SM_f: [mm] Soil moisture after simulation represented as a depth of water
12	Rain: [mm/hr] Rainfall intensity estimated calculated by interpolating a distribution map over sample area
13	Rain_old: [mm/hr] Original estimate of rainfall intensity, calculated from average graduated cylinder measurements

# hydr_wq_response_data.tsv

1	ID: Unique run-sample-iteration ID combing soil sample's identifying number, rainfall simulation number, and runoff iteration
2	SoilID: Unique run-sample ID combining soil sample's identifying number and rainfall simulation run number
3	RunNum: Rainfall simulation number
4	SampNum: Soil sample's identifying number
5	Iter: Runoff iteration letter/number, indicating the collection index of the sample       
6	Prcp: [mm] Total precipitation applied to sample
7	Prcp_br: [mm] Estimated precipitation applied before runoff initiation
8	Prcp_bi: [mm] Estimated precipitation applied before percolation initiation 
9	Prcp_ar: [mm] Estimated precipitation applied after runoff initiation
10	Prcp_ai: [mm] Estimated precipitation applied after percolation initiation     
11	Prcp_c: [mm] Cumulative precipitation applied at specific time during simulation
12	Prcp_ar_inc: [mm] Estimated precipitation applied after runoff initiation during specific time increment
13	Prcp_ar_c: [mm] Estimated cumulative precipitation applied after runoff initiation at specific time
14	RunStrt: [min] Time at runoff initiation during simulation
15	RunTime: [min] Time of specific runoff iteration measurement
16	Time_ar: [min] Time of specific runoff iteration measurement from runoff initiation
17	RunDur: [min] Duration of specific runoff iteration measurement
18	Run: [mm] Runoff collected during specific iteration, measured by weight of sample bottle
19	Run_chem: [mm] Runoff collected during specific iteration, measured by volume during water quality analysis
20	RR: [mm/mm] Runoff ratio calculated by dividing generated runoff by applied precipitation during specific iteration
21	RunRate: [mm/min] Runoff rate calculated by dividing generated runoff by duration of specific iteration
22	Run_c: [mm] Cumulative generated runoff at time of specific iteration, measured by weight of sample bottle
23	Run_chem_c: [mm] Cumulative generated runoff at time of specific iteration, measured by volume during water quality analysis
24	RR_c: [mm/mm] Cumulative runoff ratio calculated by dividing cumulative generated runoff by cumulative applied precipitation at time of specific iteration
25	RunRate_c: [mm/min] Cumulative runoff rate calculated by dividing cumulative generated runoff by time at specific iteration
26	InflStrt: [min] Time at percolation initiation during simulation
27	InflDur: [min] Duration of percolation over entire simulation
28	Infl: [mm] Total percolation measured over entire simulation
29	IR: [mm/mm] Percolation ratio calculated by dividing total percolation by applied precipitation from the time of percolation initiation to the end of the simulation
30	IR_all: [mm/mm] Percolation ratio calculated by dividing total percolation by applied precipitation over entire simulation
31	InflRate: [mm/min] Percolation rate calculated by dividing total percolation by the time from percolation initiation to the end of the simulation
32	InflRate_all: [mm/min] Percolation rate calculated by dividing total percolation by time of entire simulation
33	TSS: [mg] Total suspended solids measured for specific runoff iteration
34	SSC: [mg/mm] Suspended sediment concentration calculated by dividing total suspended solids by total runoff for specific runoff iteration
35	SedRate: [mg/min] Sedimentation rate calculated by dividing total suspended solids by duration of specific runoff iteration
36	TSS_c: [mg] Cumulative total suspended solids measured at time of specific runoff iteration
37	SSC_c: [mg/mm] Cumulative suspended sediment concentration calculated by dividing cumulative total suspended solids by cumulative total runoff at time of specific runoff iteration
38	SedRate_c: [mg/min] Cumulative sedimentation rate calculated by dividing cumulative total suspended solids by time at specific runoff iteration
39	Turb: [ntu] Turbidity of specific runoff iteration
40	NPOC: [mg/L] Concentration of dissolved organic carbon for specific runoff iteration
41	TN: [mg/L] Concentration of total dissolved nitrogen for specific runoff iteration  




