Open glenncampagna opened 2 years ago
Great stuff! These examples look like there may be a trend towards lower GW storage over time... interesting.
( by @megpritch and @glenncampagna )
Active groundwater storage represented in various timeframes: hourly, daily, weekly, and monthly. The average storage in inches was calculated in each timeframes from 19484 until 2020.
Thanks @juliabruneau ! These are thought provoking.
The yearly active groundwater, lower zone, and upper zone storage is represented in the graph below from 1984 until 2020.
It was easy to create a stacked graph using Excel, but we'll create one using R as well and post the code in this comment.
This is also very thought provoking. The tiny amount of AGWS is in stark contrast to both of the higher zones. I suppose it could be reasonable that since uzs and lzs represent water in soil pores and AGWS is in rock, that AGWS should be lesser, or at least more transient. But still... big difference (in this one single case study).
At minimum this tells me we need to take a quantitative measure, like mean or median storage during the simulation so we can do quantitative analysis.
This is also very thought provoking. The tiny amount of AGWS is in stark contrast to both of the higher zones. I suppose it could be reasonable that since uzs and lzs represent water in soil pores and AGWS is in rock, that AGWS should be lesser, or at least more transient. But still... big difference (in this one single case study).
At minimum this tells me we need to take a quantitative measure, like mean or median storage during the simulation so we can do quantitative analysis.
Remind me what the definitions are for UZS, LZS, and AGWS? What does the adj. active mean here?
Hey team - I just added another wish to the list (in the top of the issue body) -- I am wondering if the h5 posesses enough info to allow us to determine the base flow (AGWO) into a river reach? That would be more efficient that getting the baseflow out of all 35 land uses, summing them up, then analyzing it for a reach.
The pwater dataset includes AGWO (active groundwater outflow [in/interval]), where the max value seems to be only 0.005 in/hr. That being said there is data, but we are unsure if it is usable, or how we might go about analyzing groundwater flow further.
@juliabruneau I think for starters, we visualize what IS there. Inches per interval tells us something that is summable (inches per day, month, year), and plottable.
I agree that 0.005 seems small, but, if this is an hourly value, then 240.005 = 0.12 inches per day, and that is real water, since 365 0.1 = 36.5 inches/year, which we now know is far more than flows out of our streams, since > 75% of the 40 inches/year of rainfall is evaporated away.
@juliabruneau I think for starters, we visualize what IS there. Inches per interval tells us something that is summable (inches per day, month, year), and plottable.
I agree that 0.005 seems small, but, if this is an hourly value, then 240.005 = 0.12 inches per day, and that is real water, since 365 0.1 = 36.5 inches/year, which we now know is far more than flows out of our streams, since > 75% of the 40 inches/year of rainfall is evaporated away.
You are correct. Instead of using the average, for the in/interval unit I had to sum the daily values together in order to get the right values. Here is a graph I plotted just now, and I'm working on different time periods as well.
For item 3 ("A plot of baseflow OUT of AGWO, that somehow indicates summer...") Glenn and I came up with this plot:
@juliabruneau, @megpritch and @glenncampagna - I like these a lot! Couple things:
@rburghol , here is my rough draft for plot type 2 for the whole time period I'm working on adding a legend, but the blue corresponds to LZS, the red to UZS, and the green to AGWS
agree with converting to per area. For the groundwater storage variable, is there a time component or just depth [inches]? We often think of depth per time (e.g., average rainfall for Virginia, 45 inches per year). With streamflow, we often use CFS [volume per time, where cf is cubic feet and s = seconds)/ When we want to compare to rainfall (input of water into the system), we'll normalize streamflow to the watershed area (thus, end up with volume per time divided by watershed area = length/time or depth per time, the same as rainfall).
@durelles -- note these are average storage(AGWS) not outflow (AGWO), so no time component other than that I believe they are showing hourly or daily storage here.
Response to @durelles:
Questions for @rburghol:
Progress:
@rburghol when you tell us to 'export' these values, we think you mean adding them to VaHydro under the appropriate land segment feature and model scenario which we reviewed yesterday. However we are unsure of how exactly to use the script from yesterday to upload our values where we want them to go. We are referencing the diagram you provided us but can't quite figure out what all needs to be listed in the command (varkey, propname, prop value, etc.)
See code in https://github.com/HARPgroup/HARParchive/blob/master/HARP-2022-2023/GraphingAndAnalysis/A51800_graphing.Rmd
1:
2:
3:
4:
Note: the average of the total outflow, which is the sum of runoff (SURO), interflow (IFWO), and baseflow (AGWO), was found to be 0.92 cfs/sq mi , which supports our conversion since the usual value of yearly river flow in VA ~ 1.0 cfs/sq mi
Thanks @glenncampagna - we will review this process today at the meeting! BTW:
Baseflow Analysis
We are interested in creating 4 charts:
These will be created using 'land' feature .h5 files, and they are stored in the directory: /media/model/p6/out/land/hsp2_2022/eos/
Naming Convention: Graph 1: [h5prefix]_AGWSgraph Graph 2: [h5prefix]_GWSgraph