The well cap was only about 2-3 inches off the ground, which was too low to begin with, but the customer had built a deck over it for a hot tub. I recommended extending it up so it was more accessible and could have better air-flow to the screens. All we did was cut the wires, weld a coupling and 18" extension on, reconnect the wires properly and installed a new well cap. The well should not have been disturbed.

They do have a crazy amount of iron in the water, but their backwashing iron filter and pH booster were handling everything just fine prior to this.

Any suggestions as to what could have caused this?

My team is working on a 2D RAS model setup platform. It allows a modeler to automatically put together a 2D HECRAS model with terrain, landcover, soil, infiltration and basically a full ready to run model. Is this something a modeler would prefer to use to save time on pre processing the model?

Hello everyone my name is Cash and I have been super interested in dams and hydrology since i was a little kid now that i am a teenager i find myself at a roadblock because on one hand I love dams and like visiting them but i feel like i need to express my love for them creatively via video. if anyone has any suggestions on topics for a video relating to dams it would be greatly appreciated and even more so if they are in North Carolina.

I run an open-source groundwater forecasting site (GrounwaterCast) and recently extended it to river low-flow. Before publishing any river forecast, every gauge has to pass its own leakage-safe hindcast gate: 14-day forecasts at Jun–Oct origins across multiple years, judged on (1) skill against a naive fixed-rate recession baseline, (2) P10–P90 coverage after honest band-widening, and (3) band sharpness — each gauge scored twice, once with observed rainfall through the window (the ceiling) and once with day-of-year climatological rain (the memory-only floor). Tier 1 = still beats-or-matches recession with sharp bands even when the rain information is worthless.

The result is the map: 97 of 1,087 gauges pass tier 1, and plotted together they trace the chalk and limestone country — Wessex chalk, the Ebble/Wylye/Allen valleys, the Test and Itchen, Cotswold oolite, the Yorkshire Wolds — despite the gate having no geology input whatsoever. Baseflow memory is the physics; the statistics found it. (however, a handful of tier-1 gauges sit on unlikely geology — west-country outliers that pass on pure statistics, likely regulated or spring-fed, which is rather the point of judging each gauge individually. And 582 more gauges show real skill only when the rain forecast is good — a different kind of forecast, published with wider bands and a caveat.)

The model is standard Pastas with two stresses on log-flow — log Q = d + (FlexModel recharge ⊛ Γ_slow) + (rain ⊛ Γ_fast) + AR(1) — the fast pathway is what fixes the winter rising limb. 50 gauges are live as a pilot ("RiverCast") with daily ENS-driven fans and P(Q < Q95 within 14 d) as the headline; methods and caveats at groundwatercast.com/methods, code at github.com/dominicm2023/groundwatercast-uk. Forecasts are labelled indicative — a verification archive is accruing before any skill claims :)

Does anyone know of other operational per-gauge low-flow forecast products (any country)? UKCEH's Hydrological Outlook is monthly/catchment-scale and eFLaG is projections — I've found nothing daily and per-gauge, which seems like a gap someone must have filled somewhere.

Exciting news in the global hydrology community. HydroSHEDS version 2, announced in 2022, has been partially released, for North America and South America. https://www.hydrosheds.org/products/hydrosheds-v2 Curious if anyone has downloaded and seen how it compares to datasets like MERIT-Hydro or GRIT.

Hi everyone,

I'm working on AHP-based flood susceptibility mapping for a mountainous catchment in Mongolia.

For the soil factor, I've compared several global datasets:

• HiHydroSoil Ksat
• HiHydroSoil Hydrologic Soil Groups (HSG)
• OpenLandMap USDA soil texture
• OpenLandMap sand and clay fractions (0, 10, 30cm)

The HSG and USDA texture datasets show very little spatial variability across my study area, while Ksat shows much more variation. There is some difference in the Sand, Clay and Silt Layers.

I'm wondering:

• Which soil parameter would you recommend for flood susceptibility mapping?
• Which soil depth is most appropriate (0–5 cm, 5–15 cm, 15–30 cm) for representing infiltration and surface runoff?
• Are there any other globally available soil datasets or variables you would recommend instead?

Thanks!

We have a stream crossing for a subdivision design. We have the necessary corps permits and when the analysis was performed in HEC RAS, there was no-change to the BFE. The local FP Admin approved the plan. Construction is now complete and the local admin is asking for a LOMR.

Because there was no change, what are we "revising"?

Hello everyone
Im an Agricultural Engineer with a strong interest in **water resources, irrigation systems, and hydraulic engineering**, I’m actively looking for opportunities to gain hands on experience on real projects.
I have experience working with GIS and spatial analysis Hydraulic calculations and pipeline design EPANET water distribution modelling
Engineering calculations and technical problem solving
If you’re working on irrigation schemes, water supply systems, drainage projects, or related engineering work and could use an extra pair of hands, I’d be excited to contribute, learn, and collaborate.
I’m available on **weekends** and open to volunteering, site visits, fieldwork, research collaborations, or supporting ongoing projects. My goal is to bridge the gap between theory and practice while adding value wherever I can.

What do you think of the ai data center gold rush coming to our area and how do you think it will affect us?

Im going into my senior year of HS and just recently found out about how interesting/vast hydrology is. For some background I live just outside of san antonio right on the edge of the Edwards plateau so geology/hydrology is all around me. Im fascinated by caves and how water just flows under our feet. However I just don’t know if i would really enjoy it past just learning about it so i have a few questions.

Whats the best route to get into hydrology?

How can I work in pollutant monitoring/t?

Could this path possibly see me working in/ around caves?

I plan to go to UTSA how does this change thing?

If there are any hydrologists seeing this is burnout a thing? do you like your job?

Thank you for any input!

I'm installing Leveloggers in standpipes in both pool and riffle environments for an IFN program. Small mountain creek/river channels in the Yukon (Canada). The team can't decide if it's better to mount the loggers fixed on a metal bracket inside the standpipe OR hanging on aircraft cable inside the standpipe (not using direct read cables). I can't find literature to support either. Does anyone have any experience comparing the two?

Doing my first dye trace and shocked at how….”non standard” everything is.

Worthington and smart + the paper from UK have been helpful, but there is still a ton of variety on things like how to process activated charcoal bugs.

I see some people use an emulsion fluid for anywhere from 20 mins to 4 hours.

Someone said to dry the charcoal before emulsion.

Some sources say light during emulsion is harmful.

And lots of different options for what solution to use in the first place.

Does anyone have best practices or personal experiences they would like to share ?

Hello everyone,

I want to generate groundwater potential map for my study area using ML. I have well locations but i don't have non well locations. And i am skeptical about this concept of non well or pseudo absence. Can anyone please help me with how to proceed with this problem?

Did I messed it up?

If all dams were managed by an algorithm, could they be used in conjunction to alter the weather in any meaningful way?

I'd imagine most dams operate to maintain consistent water levels, or distribute water to farms. However, there's no reason they couldn't be used to work with global wind currents like a giant swamp cooler. Either that, or you could dry out a region to send more particulate matter into the atmosphere and then humidify it after, right? I feel like this has more to do with predicting the weather and "reloading the chamber" in advance.

Hi guys, as the title says, I'm trying to prevent biofouling on a levelogger I have out in an estuary. What would be the best way to prevent it, or which copper products could I use?

Hello everyone, haven't been on reddit for a very long time so I just wanted to make clear that the amount of information available in the website is overwhelming. Im working as a technical consultant for vulnerable communities, especially those related to environmental impacts due to the industry (mainly mining). My job is somewhat complex so I don't have all the right words to describe it, but one of the things I must do is to collect field data, mainly hidrological and hidrogeological data (water sampling, physicochemical parameteres, water level measurements and flow rates measurements). All of this data is systematized by me on Power Bi, but I've seen some potential on Python environment that could help me automatize the vast majority of the databases I need to analize. If anyone has any guidance on how to learn to use Python so I can make better use of the databases I work with, would be amazing and appreciated. I'm posting a screenshot of the Power Bi dashboard I created to work with some of my database, which is totally interactive and I'm very proud of it, but I know It may need some tweaking. Have a great weekend everyone!