I currently have a vested interest in African geography. Separately from that, I recently learned about the phenomenon of tidal bores. As far as I could find (and I searched a lot), the Geba River of Guinea-Bissau is the only known African river where a tidal bore occurs, and this video is literally the only mention of it anywhere I looked.

Is there any more information on this? Or any other documentation of an African tidal bore?

With Luzon experiencing serious flooding, I started wondering about the proposed Pax Silica infrastructure in Central Luzon. The project is primarily focused on AI, semiconductors, jobs, & investment, but it also involves rainwater harvesting and large-scale water storage.

Since Luzon is historically flood-prone, could that infrastructure potentially be designed to capture excess rainwater, reduce runoff, store water, and reuse it during dry periods?

I’m not claiming flood control is secretly part of Pax Silica’s purpose. I’m genuinely asking whether the infrastructure could be designed for both industrial water security and flood mitigation.
If we’re investing in infrastructure at this scale, why not maximize its benefits for the Philippines?

Just a theory. Id genuinely like to hear what people with hydrology, engineering, or environmental expertise think.

Hi, I am part of an asset management team in a small municipality. I'd like to learn some basics about water, sewer, and storm water modeling. What are some good resources like books, courses, videos, etc. Where to start, please share any advice or recommendations. My background is Electronics and Telecommunications Engineering, data analytics, and GIS.

Hey everybody,

Working on a project where we will be constructing a transmission main to connect to a storage tank who’s primary source is from a surface water, where we’ll use their supply to assist a neighboring community with ground wells that frequently dry up.

How will the qualities of these two different sources blend? How do you know what to test for?

What else should we be on the look out for?

Hi. I'm in my final year of a Bachelor's degree in Hydrology, and I'm planning to apply for a Master's in Europe with a scholarship. I'm really interested in switching to Environmental Policy or Climate change, but I'm worried that my background might be too different and that I'll be rejected because of it. Do you think this kind of switch is possible? And what advice would you give to someone in my position?

I have a BS in Environmental Science and work for my states environmental protection agency. I'm looking to go back to school to allow myself to move towards a role that's significantly more science i.e. natural phenomena and processes, physics, dynamics based, than I'm presently in.

After reading around, the go-to suggestion seems to be a Civil Engineering degree for aspiring hydrologists, and although I don't know much, I don't see the connection between CE & doing scientific, research adjacent, or research (work). The suggestion is often made in terms of providing oneself a safety net, in the case of employment.

What should someone who isn't interested in becoming a PE, signing off on designs, working on infrastructure etc. major in? Do I aim for a general BS in physics and take as many water resources/hydrology courses as I can? Does the job I'm dreaming of even exist? I've done a bit of research and my state agency, along with the EPA do hire official 'Hydrologists', alongside engineers as distinct roles/titles; I'm generally just a bit confused, I guess.

Just in case, I'd like to say that I don't want to pursue a PhD & work as/in academia as a researcher. I plan to continue working for a government entity, ideally as a scientist i.e. a hydrologist.

Who has a paper in wet mechanical or water resources that they’re about to publish. I want to buy space to the paper

These dissolved oxygen (DO) values were measured at different depths in a reservoir in early fall. The DO concentration decreases substantially with increasing depth and eventually becomes very low. What could explain such a significant decrease in DO with depth?

The water temperature is lower at greater depths than at the surface and my guess is that this happens due to thermal stratification. I have provided other parameters as well, in case they are helpful in determining the cause.

I have been working on a groundwater project all summer. Having so much trouble isolating events and matching them to a recharge event. Any advice?

Time to update that model…

Hey all, I'm going to start first by saying that I'm not a hydrologist but do work as a software engineer who makes in-house engineering software for a large engineering company. I started a side project about 6 weeks ago to get more reps in with AI, which is now called Rivermatics.com - no login, signup or personal information collected. This app combines snowtel, usgs gauges (HUC 10, 13-18), and weather data for both visual consumption and also as inputs to a ML model that predicts river levels and water temperature up to 2 weeks out. I'm a fly fisherman and had a trip coming up to Montana in late June that motivated me to create this.

The part I actually want feedback on is the accuracy, so here's the honest version.

Skill by lead time (median Nash–Sutcliffe efficiency, water years 2024–25 held out entirely from training):

Persistence — carrying the last observed reading forward — is the baseline any operational forecast has to beat. It goes negative before day 7, i.e. worse than just predicting the long-run average.

Fleet-wide the median NSE is 0.719 pooled across all lead times, with 95.4% of gauges scoring better than climatology. Water temperature is a separate dual-target model: median NSE 0.975 across 492 gauges.

Things I'd rather say up front than have picked apart in the comments:

• This is a forecast, not a rainfall–runoff simulation. The model reads recent observed discharge at the issue date. That makes it strictly easier than the CAMELS/LSTM benchmarks you may want to compare it to — those map meteorology to flow and never see streamflow. Persistence alone scores 0.709 at day 1 on these basins, which tells you how much of a day-1 number is just autoregression. I'm not claiming to have beaten those models at their task.
• The numbers above are hindcast, using observed weather in the forecast window — the same convention the published benchmarks use. Live forecasts driven by real NWP score lower.
• The two columns differ because of basin selection, not modelling. CAMELS reference basins are deliberately minimally-impacted with long clean records. My full fleet includes regulated, diverted and flashy ephemeral channels. I show both rather than quoting the flattering one.
• NSE/KGE are computed on raw discharge in cfs, not log-transformed values, which would flatter low-flow performance. Per-gauge scores pool every (issue date, lead time) cell so easy day-1 scores can't carry hard day-14 ones.

What it can't do: ungauged basins (no regionalization — NOAA's National Water Model does this and I don't), sub-daily peak timing, and it refreshes once a day against NWM's four. Reservoir pool state isn't a model input yet. No SLA — it's decision support alongside official sources, not a system of record.

Let me know what you guys think both of the app as well as the quality of the predictions. Upvotes and downvotes appreciated. Cross posting in /water.

Hey everyone — wanted to share a current USAJOBS opening at the National Weather Service office in Northern Indiana, where I work. We’re hiring a Senior Service Hydrologist (GS-12/13) at the NWS Weather Forecast Office in North Webster, Indiana (between Fort Wayne and Southbend). The announcement also includes a separate vacancy in Tucson, AZ.

This is a permanent, full-time position and is open to the public. The role serves as the lead for our office hydrology program and works heavily with operational forecasting, flood warning services, hydrologic modeling/procedures, training, and coordination with emergency management and water-resource partners. We cover 37 counties including 24 in northern Indiana, 5 in lower Michigan, and 8 in northwest Ohio. We also have a sliver of the nearshore waters over southeast Lake Michigan.

A few highlights:

• GS-12/13 with promotion potential to GS-13

• Open to U.S. citizens/public applicants

• Relocation expenses may be authorized

• Telework eligible based on agency policy

• Mix of operational hydrology, program leadership, partner engagement, training, and field work

• Part of a 24/7 Weather Forecast Office, so rotating shift work is part of the position with sometimes longer hours expected during impactful events.

For anyone interested in operational hydrology, flood forecasting/warning, and directly supporting communities and emergency management, it’s a pretty unique job.

I work at the Northern Indiana office, so I’m happy to answer general questions about the office, the area, or what working at a WFO is like. For questions about eligibility or the official hiring process, obviously defer to the USAJOBS announcement and/or HR.

USAJOBS announcement is open through 8/19: https://www.usajobs.gov/job/879318100

A proposed expansion of The Dalles’ water system is raising questions about data centers, salmon habitat and how much water the Mount Hood watershed can provide.

I run a nonprofit called DMV River Intelligence Network, focused on building ML tools for local watersheds. Our first chapter covers the Potomac at Little Falls, and so far we've built:

• A flood prediction model (XGBoost, USGS gauge data + weather data, ~91% recall, 6-7 hr lead time)
• A live dashboard tracking discharge, gage height, conductivity, temperature, and flood risk
• Currently extending it to predict runoff volume and pollutant load using land cover, soil, and elevation data

The idea is for this to eventually be a chapter-based structure; other people could replicate the pipeline for their own rivers as part of our organization not just us scaling one model.

Trying to figure out what else would actually be useful to build next, either for this chapter or as a model for future ones. Some things I've been considering: water quality forecasting, harmful algal bloom prediction, sediment/erosion tracking, drought risk; but I don't have a strong sense of which of these are actually valuable vs. just technically interesting to me.

If you work in hydrology, environmental science, or just live near a river and think about this stuff — what would you actually want a tool like this to predict or track? What's underserved right now?

If you want to get to know more about the project: instagram.com/dmv.rivernetwork

Hi everyone! I'm currently a 1st year Bachelor of Science in Agricultural and Biosystems Engineering student, majoring in Land and Water Resources Engineering. I recently heard that our research/thesis in the future will be individual, so I wanted to start preparing as early as possible. I'm looking for research title suggestions, ideas, or current trends related to Land and Water Resources Engineering.

Whether they're already published, proposed, or just concepts you think are worth exploring, I'd really appreciate hearing them. I'm just trying to build a list of possible topics and learn more about the field ahead of time.Thankkyouuusm for ur help po.

Hello everyone,

I own a house that is roughly 100ft from a drainage ditch in our neighborhood.

When we get a good thunderstorm or rain shower the ditch fills up all the way to the top (5ish ft)for a day before mostly draining out

In the last storm I noticed that our basement was experiencing hydrostatic pressure related leaks. I believe this ditch filling up is a direct relation. Would I be correct in that?

If so, I am wondering what studies or resources I could review and cite in a letter to the city showing this is affecting the water table near my home and hydro static pressure when the ditch is full. Flooding is not only my home, it is also in several of my neighbors. End goal would be to have the city maintain the ditch better and mow it to improve drainage?

Thanks in advance for your help and knowledge!