Conservation and Environmental Research Area
39.2554° N, 76.7107° W
According to Weather Underground, a total of 3.01 inches of precipitation occurred during the study period. The heaviest rainfall took place on Thursday, August 14th, with 1.06 inches recorded. Overall, the site experienced moderate rainfall, which likely contributed to slow stream flow conditions for all sensors.
All sensor locations exhibited moderately to highly stable banks supported by dense riparian vegetation and steep slopes that formed a natural ravine. Overall, flow speed was extremely slow across the study area—fastest at the downstream (Lower) sensor and nonexistent at the Upper sensor.
This analysis evaluates temperature and hydrologic behavior across four sensor locations (Air, Upstream, Middle Stream, Downstream) within the Chesapeake Bay watershed from July 24 to September 8, 2025. The primary objective is to assess flow permanence through thermal patterns and temperature change rates. Understanding these dynamics is critical for identifying perennial, intermittent, and ephemeral flow segments, which determine eligibility for protection under the U.S. EPA’s jurisdictional definitions of “Waters of the United States.”
(p1 | p2) + plot_layout(widths = c(1, 1))
There are several isolated storm events producing up to 1.2 inches of rainfall. The Wet Frequency by Sensor data indicate strong spatial variability in hydrologic persistence. The Upstream sensor maintained wetness the most consistently across the study experiment. This sensor exhibited more stable base flow conditions and stronger hydraulic connections to perennial flow. In contrast, Downstream locations exhibited more dry days than any of the submerged sensors, suggesting flow loss and declining groundwater inputs during extended dry periods. This is an odd sighting since normal streams experience more flow as it travels downstream but this shows a hydrologically inverted pattern. This spatial trend doesn’t aligns with the expected flow gradient in headwater systems. The downstream reaches transition toward intermittency, while upstream are the most hydrologically active.
| Sensor | Period | Start | End | Start_Temp | End_Temp | Slope_C_per_hr |
|---|---|---|---|---|---|---|
| Air | Daytime | 2025-09-01 06:00:00 | 2025-09-01 18:00:00 | 55.575 | 76.297 | 1.727 |
| Air | Nighttime | 2025-09-01 18:00:00 | 2025-09-02 06:00:00 | 75.397 | 57.378 | -1.502 |
| Downstream | Daytime | 2025-09-01 06:00:00 | 2025-09-01 18:00:00 | 59.151 | 68.165 | 0.751 |
| Downstream | Nighttime | 2025-09-01 18:00:00 | 2025-09-02 06:00:00 | 67.264 | 60.053 | -0.601 |
| Middle Stream | Daytime | 2025-09-01 06:00:00 | 2025-09-01 18:00:00 | 61.000 | 69.105 | 0.675 |
| Middle Stream | Nighttime | 2025-09-01 18:00:00 | 2025-09-02 06:00:00 | 69.105 | 61.900 | -0.600 |
| Upstream | Daytime | 2025-09-01 06:00:00 | 2025-09-01 18:00:00 | 59.151 | 68.165 | 0.751 |
| Upstream | Nighttime | 2025-09-01 18:00:00 | 2025-09-02 06:00:00 | 67.264 | 60.955 | -0.526 |
The table above exhibits temperature change rates calculated for September 1, a representative dry period with no rainfall influence. The Air sensor exhibited the highest diurnal slope magnitude with daytime warming rates of +1.73 °F/hr and nighttime cooling of −1.50 °F/hr, reflecting rapid atmospheric fluctuations. From the graph air also exhibits the widest temperature swing. Stream sensors showed substantially lower slope magnitudes (0.5–0.8 °F/hr) ranges. The slopes confirm that thermal responses increases with stream disconnection. As water depth and flow permanence decline, temperature fluctuations more closely mimic atmospheric patterns.
| Sensor | Period | Start | End | Start_Temp | End_Temp | Slope_C_per_hr |
|---|---|---|---|---|---|---|
| Air | Daytime | 2025-08-14 06:00:00 | 2025-08-14 18:00:00 | 70.895 | 76.297 | 0.450 |
| Air | Nighttime | 2025-08-14 18:00:00 | 2025-08-15 06:00:00 | 78.097 | 70.895 | -0.600 |
| Downstream | Daytime | 2025-08-14 06:00:00 | 2025-08-14 18:00:00 | 68.165 | 73.568 | 0.450 |
| Downstream | Nighttime | 2025-08-14 18:00:00 | 2025-08-15 06:00:00 | 73.568 | 69.065 | -0.375 |
| Middle Stream | Daytime | 2025-08-14 06:00:00 | 2025-08-14 18:00:00 | 72.707 | 76.307 | 0.300 |
| Middle Stream | Nighttime | 2025-08-14 18:00:00 | 2025-08-15 06:00:00 | 76.307 | 72.707 | -0.300 |
| Upstream | Daytime | 2025-08-14 06:00:00 | 2025-08-14 18:00:00 | 69.966 | 72.668 | 0.225 |
| Upstream | Nighttime | 2025-08-14 18:00:00 | 2025-08-15 06:00:00 | 72.668 | 70.867 | -0.150 |
This data corresponds with the day that exhibited the most precipitation.There is a general smaller diurnal change among all of the sensors.The upstream sensor experienced the least temperature change during the night time diurnal change exhibiting a -0.150 slope. The result tells us that their could be very low runoff and steadybaseflow at the headwaters of this stream. This is also evident from the graph close-up, the temperature plots reveal pronounced cooling visibly lower rates of change.The Air temperature sensor peaked near 84 °F, while stream temperatures remained 3–5 °F lower and exhibited dampened diurnal swings. This pattern indicates enhanced groundwater recharge and increased flow connectivity following precipitation. This precipitation stabilization suggests temporary recovery of flow permanence, particularly at the middle and upstream locations.
This final graph shows the gradient of thermal temperature mean fluctuion for each sensor throughout the test period. Stream sensors stayed overall cooler than the air temperature and the dips in temperature shown in late July and early August are a reflection of major precipitation events that’s occured. Another note is that the middle stream mean more closely resonates with the air monitoring more than any other senor. This could be a sign of transitional intermittancy where the stream slows down.
Thermal and wet frequency analyses reveal clear spatial gradients in hydrologic behavior across the study.