Catchment concentration–discharge relationships across temporal scales: A review DOI Open Access
Shannon L. Speir, Lucy A. Rose, Joanna R. Blaszczak

и другие.

Wiley Interdisciplinary Reviews Water, Год журнала: 2023, Номер 11(2)

Опубликована: Дек. 7, 2023

Abstract Processes that drive variability in catchment solute sourcing, transformation, and transport can be investigated using concentration–discharge (C–Q) relationships. These relationships reflect in‐stream processes operating across nested temporal scales, incorporating both short long‐term patterns. Scientists therefore leverage catchment‐scale C–Q datasets to identify distinguish among the underlying meteorological, biological, geological export patterns from catchments influence shape of their respective We have synthesized current knowledge regarding geological, meteorological on for various types diel decadal time scales. cross‐scale linkages tools researchers use explore these interactions Finally, we gaps our understanding dynamics as reflections processes. also lay foundation developing an integrated approach investigate relationships, reflecting biogeochemical effects environmental change water quality. This article is categorized under: Science Water > Hydrological Quality Environmental Change

Язык: Английский

From Hydrometeorology to River Water Quality: Can a Deep Learning Model Predict Dissolved Oxygen at the Continental Scale? DOI
Wei Zhi, Dapeng Feng, Wen‐Ping Tsai

и другие.

Environmental Science & Technology, Год журнала: 2021, Номер 55(4), С. 2357 - 2368

Опубликована: Фев. 3, 2021

Dissolved oxygen (DO) reflects river metabolic pulses and is an essential water quality measure. Our capabilities of forecasting DO however remain elusive. Water data, specifically data here, often have large gaps sparse areal temporal coverage. Earth surface hydrometeorology on the other hand, become largely available. Here we ask: can a Long Short-Term Memory (LSTM) model learn about dynamics from intensive (daily) data? We used CAMELS-chem, new set with concentrations 236 minimally disturbed watersheds across U.S. The generally learns theory solubility captures its decreasing trend increasing temperature. It exhibits potential predicting in "chemically ungauged basins", defined as basins without any measurements broadly general. misses some peaks troughs when in-stream biogeochemical processes important. Surprisingly, does not perform better where more are Instead, it performs low variations streamflow DO, high runoff-ratio (>0.45), winter precipitation peaks. Results here suggest that collections at sparsely monitored areas to overcome issue scarcity, outstanding challenge community.

Язык: Английский

Процитировано

213

Continental-scale analysis of shallow and deep groundwater contributions to streams DOI Creative Commons
Danielle K. Hare, Ashley M. Helton, Zachary C. Johnson

и другие.

Nature Communications, Год журнала: 2021, Номер 12(1)

Опубликована: Март 4, 2021

Abstract Groundwater discharge generates streamflow and influences stream thermal regimes. However, the water quality buffering capacity of groundwater depends on aquifer source-depth. Here, we pair multi-year air temperature signals to categorize 1729 sites across continental United States as having major dam influence, shallow or deep signatures, lack pronounced (atmospheric) signatures. Approximately 40% non-dam have substantial contributions indicated by characteristic paired signal metrics. Streams with signatures account for half all signature show reduced baseflow a higher proportion warming trends compared These findings align theory that is more vulnerable increase depletion. atmospheric tend drain watersheds low slope greater human disturbance, indicating stream-groundwater connectivity in populated valley settings.

Язык: Английский

Процитировано

153

Toward catchment hydro‐biogeochemical theories DOI Creative Commons
Li Li, Pamela Sullivan, Paolo Benettin

и другие.

Wiley Interdisciplinary Reviews Water, Год журнала: 2020, Номер 8(1)

Опубликована: Дек. 3, 2020

Abstract Headwater catchments are the fundamental units that connect land to ocean. Hydrological flow and biogeochemical processes intricately coupled, yet their respective sciences have progressed without much integration. Reaction kinetic theories prescribe rate dependence on environmental variables (e.g., temperature water content) advanced substantially, mostly in well‐mixed reactors, columns, warming experiments considering characteristics of hydrological at catchment scale. These shown significant divergence from observations natural systems. On other hand, theories, including transit time theory, substantially not been incorporated into understanding reactions Here we advocate for development integrated hydro‐biogeochemical across gradients climate, vegetation, geology conditions. The lack such presents barriers mechanisms forecasting future Critical Zone under human‐ climate‐induced perturbations. Although integration has started co‐located measurements well way, tremendous challenges remain. In particular, even this era “big data,” still limited by data will need (1) intensify beyond river channels characterize vertical connectivity broadly shallow deep subsurface; (2) expand older dating scales reflected stable isotopes; (3) combine use reactive solutes, nonreactive tracers, (4) augment environments undergoing rapid changes. To develop it is essential engage models all stages model‐informed collection strategies maximize usage; adopt a “simple but simplistic,” or fit‐for‐purpose approach include process‐based models; blend data‐driven framework “theory‐guided science.” Within hypothesis testing, model‐data fusion can advance mechanistically link catchments' internal structures external drivers functioning. It only field hydro‐biogeochemistry, also enable hind‐ fore‐casting serve society large. Broadly, education cultivate thinkers intersections traditional disciplines with hollistic approaches interacting complex earth This article categorized under: Engineering Water > Methods

Язык: Английский

Процитировано

152

Temperature outweighs light and flow as the predominant driver of dissolved oxygen in US rivers DOI
Wei Zhi, Wenyu Ouyang, Chaopeng Shen

и другие.

Nature Water, Год журнала: 2023, Номер 1(3), С. 249 - 260

Опубликована: Март 9, 2023

Язык: Английский

Процитировано

72

River water quality shaped by land–river connectivity in a changing climate DOI
Li Li, Julia L. A. Knapp, Anna Lintern

и другие.

Nature Climate Change, Год журнала: 2024, Номер 14(3), С. 225 - 237

Опубликована: Март 1, 2024

Язык: Английский

Процитировано

67

Deep learning for water quality DOI
Wei Zhi, Alison P. Appling, Heather E. Golden

и другие.

Nature Water, Год журнала: 2024, Номер 2(3), С. 228 - 241

Опубликована: Март 12, 2024

Язык: Английский

Процитировано

64

The impacts of climate change on groundwater quality: A review DOI

Phuong Uyen Dao,

Arnaud Heuzard,

Thi Xuan Hoa Le

и другие.

The Science of The Total Environment, Год журнала: 2023, Номер 912, С. 169241 - 169241

Опубликована: Дек. 9, 2023

Язык: Английский

Процитировано

45

Chronic nitrogen legacy in the aquifers of China DOI Creative Commons
Xin Liu, Fu‐Jun Yue, Li Li

и другие.

Communications Earth & Environment, Год журнала: 2025, Номер 6(1)

Опубликована: Янв. 28, 2025

Язык: Английский

Процитировано

2

Streams as Mirrors: Reading Subsurface Water Chemistry From Stream Chemistry DOI
Bryn Stewart, James B. Shanley, James W. Kirchner

и другие.

Water Resources Research, Год журнала: 2021, Номер 58(1)

Опубликована: Окт. 22, 2021

Abstract The shallow and deep hypothesis suggests that stream concentration‐discharge (CQ) relationships are shaped by distinct source waters from different depths. Under this hypothesis, baseflows typically dominated groundwater mostly reflect chemistry, whereas high flows soil water chemistry. Aspects of draw on applications like end member mixing analyses hydrograph separation, yet direct data support for the remains scarce. This work tests using co‐located measurements water, groundwater, streamwater chemistry at two intensively monitored sites, W‐9 catchment Sleepers River (Vermont, United States) Hafren Plynlimon (Wales). At both depth profiles subsurface CQ 10 solutes analyzed broadly consistent with hypothesis. Solutes more abundant (e.g., calcium) exhibit dilution patterns (concentration decreases increasing discharge). Conversely, enriched in soils nitrate) generally flushing increases may hold true catchments share such biogeochemical stratifications subsurface. Soil chemistries were estimated high‐ low‐flow average relative errors ranging 24% to 82%. indicates streams mirror waters: can be used infer scarcely measured especially where there members.

Язык: Английский

Процитировано

85

The Chesapeake Bay program modeling system: Overview and recommendations for future development DOI Creative Commons
Raleigh R. Hood, Gary W. Shenk, Rachel L. Dixon

и другие.

Ecological Modelling, Год журнала: 2021, Номер 456, С. 109635 - 109635

Опубликована: Июль 17, 2021

Язык: Английский

Процитировано

70