Zero‐Flow Dynamics for Headwater Streams in a Humid Forested Landscape DOI Creative Commons
Jason A. Leach, Kara L. Webster, Danielle T. Hudson

и другие.

Hydrological Processes, Год журнала: 2024, Номер 38(12)

Опубликована: Дек. 1, 2024

ABSTRACT Much of our understanding on temporary headwater streams is from arid and sub‐humid environments. We know less about zero‐flow periods in humid catchments that experience seasonal snow cover. Our study characterised the temporal spatial patterns for forested a snow‐dominated landscape. used 36 years streamflow data 13 within Turkey Lakes Watershed located Canadian Shield Ontario, Canada, near eastern shores Lake Superior. These differ substantially their number May–November days (0–166 per year) despite being clustered small geographical area with similar geology, physiography vegetation The also continental climatic conditions relatively even precipitation inputs throughout year (mean annual 1210 mm/year). Inter‐annual variability was primarily associated evapotranspiration. Despite large snowpacks form this region, amount did not appear to influence extent periods. found between‐catchment occurrences related differences catchment properties typically greater groundwater influence. suggests zero‐flows can be highly variable over regions flow permanence may more sensitive spring fall weather than due partly shallow soils Shield.

Язык: Английский

Flow intermittence prediction using a hybrid hydrological modelling approach: influence of observed intermittence data on the training of a random forest model DOI Creative Commons
Louise Mimeau, Annika Künne, Flora Branger

и другие.

Hydrology and earth system sciences, Год журнала: 2024, Номер 28(4), С. 851 - 871

Опубликована: Фев. 23, 2024

Abstract. Rivers are rich in biodiversity and act as ecological corridors for plant animal species. With climate change increasing anthropogenic water demand, more frequent prolonged periods of drying river systems expected, endangering ecosystems. However, understanding predicting the hydrological mechanisms that control periodic rewetting rivers is challenging due to a lack studies observations, particularly non-perennial rivers. Within framework Horizon 2020 DRYvER (Drying River Networks Climate Change) project, modelling study flow intermittence being carried out three European catchments (Spain, Finland, France) characterised by different climate, geology, use. The objective this represent spatio-temporal dynamics at reach level mesoscale networks (between 120 350 km2). daily spatially distributed condition (flowing or dry) predicted using J2000 model coupled with random forest classification model. Observed data from sources (water measurements, photo traps, citizen science applications) used build predictive This aims evaluate impact observed dataset (sample size, spatial temporal representativity) on performance Results show hybrid approach developed allows patterns be accurately catchments, sensitivity criterion above 0.9 prediction dry events Finnish French case 0.65 Spanish study. shows value combining reduce uncertainty intermittence.

Язык: Английский

Процитировано

14
How low can you go? Widespread challenges in measuring low stream discharge and a path forward DOI Creative Commons
Erin Seybold, Anna Bergstrom, C. Nathan Jones

и другие.

Limnology and Oceanography Letters, Год журнала: 2023, Номер 8(6), С. 804 - 811

Опубликована: Сен. 30, 2023

Low flows pose unique challenges for accurately quantifying streamflow. Current field methods are not optimized to measure these conditions, which in turn, limits research and management. In this essay, we argue that the lack of measuring low streamflow is a fundamental challenge must be addressed ensure sustainable water management now into future, particularly as climate change shifts more streams increasingly frequent flows. We demonstrate pervasive flows, present decision support tool (DST) navigating best practices highlight important method developmental needs. Water resource facing mounting associated with scarcity, including interactive effects changing increased demand (Craig et al. 2017). Climate increasing drought severity many regions (Cook 2020), while limited supplies depletes resources (de Graaf 2019). Combined, stressors result lower variable rivers (Zipper 2021), arid (Hammond 2021). Despite posed by low-flow majority (e.g., time, funding) monitoring have historically focused on high-water concerns, such ensuring navigation predicting floods (Vörösmarty 2001; Ruhi 2018), larger, perennially-flowing systems (Krabbenhoft 2022). Low-flow conditions (Mauger define or little downstream surface flow caused small volumes very velocities (i.e., slackwater), prevalent thus necessitate greater focus quantification approaches. Streamflow underlying physical template structuring biotic abiotic processes, biogeochemical cycling, ecological communities river systems; thus, inaccurate measurements can propagate hinder diverse analyses requiring accurate data, ranging from characterization 2022), environmental allocations (Neachell Petts 2019), function assessments (Leigh Datry 2017), species conservation plans (Lopez forecasting (Forzieri 2014). posit measurement techniques leaves networks ill-equipped inform management, future. Our objectives to: (1) widespread across an existing network United States, (2) discuss limitations current (3) DST choosing among methods, (4) methodological developments needed improve monitoring. Such progress prerequisite understanding how will respond human demands, thereby supporting policy actions seeking avoid minimize impacts. Point essential short- long-term studies monitoring, made using different (Turnipseed Sauer 2010). If conducted over range discrete used develop rating curve relates stage discharge, allowing long-term, continuous discharge via sensors our analysis discussion point streamflow, but emphasize approaches implications accuracy longer-term development. To quantify prevalence substandard measurements, examined manual 8008 U.S. Geological Survey (USGS) gages continental States GAGES II dataset (Falcone 2011), sites either 20+ years since 1950 were operational 2009 (Appendix S1). For each measurement, collected quality code assigned USGS hydrographers immediately after making measurement: "Poor" when uncertainty estimated above 8%, "fair" less than good 5%, excellent 2% These codes qualitative estimating individual based suitability channel cross-section, state, other gage, identified minimum value "good" calculated percent gage's daily record below threshold. results overly sensitive threshold, also compared percentage two additional thresholds: corresponding average thresholds (see Table S1 details), obtained comparable results. The "minimum good" metric provides conservative estimate duration high site; it only considers related does account stemming conditions. interrogated because represents standard investigators use benchmark, provided large relating quality/uncertainty. performed all R version 4.2.1 (R Core Team 2022) data National Information System DataRetrieval Package (De Cicco Across network, records was 8.4%, indicating overall measurements. However, found 393 (~ 5.5%) had at least 50% value, 68 95% threshold (Fig. 1A). Sites widely distributed climatic zones, land uses, hydrologic settings, although greatest density concentrated southwestern where issues linked scarcity (Brown provide example difficulties gage Kings Creek near Manhattan KS (USGS Gage 06879650), well-studied, grassland stream long (1979–present). Only 73 238 31%) considered "excellent" 1B). relatively incidence resulted 58.6% (from 1980 2021) being lowest proportion given year 2.5% 100%. This underscores even site, relative importance vary year-to-year, impact during dry 1C). Furthermore, uncertainties may subsequent estimates nutrient export, lead some annual load much certain others. Systems flashy face highly uncertain end curve, leading sources uncertainty. While sensitivity propagation beyond scope paper, highlights areas poorly suited capture Three general categories comprise toolbox available most practitioners. include: velocity-area methods; tracer-based salt dye; known streambed geometry flume weir) capturing constriction (WMO Most tend unusable under (Hamilton 2008) three reasons: and/or shallow depths 2A,B), mobile streambeds irregular channels 2D,E), proportions subsurface 2C–E). Many transition visible slow imperceptible movement water, sometimes spatially discontinuous pooled. poor tracer mixing recovery dilution gaging 2A). High width-to-depth ratios wide water) inability fully submerge velocimeters 2E). bed elevations rocks boulders) emergent vegetation further reduce velocity render them impossible 2D). Finally, surface-water therefore directly estimates, flow. relevant often exhibit hyporheic problems mutually exclusive; indeed, multiple arise leaving practitioners unsure about considerable Given challenges, reflects collective experience working systems, describes approach applying complicating factors dominate 3). aim offer guidance systematic way apply consistent complex systems. assumes chosen location site there no better within reasonable distance upstream downstream) what should avoided selection. intended data-driven study optimal rather offering informed opinions work specific contexts experts who frequently attempt non-ideal compiling DST, development prioritized, hope catalyzes advances community. initial bifurcation separates whether visibly flowing material leaves) observed moving downstream. movement, fewer options exist visible, prompts series questions regarding cross-section depth help identify suitable their acknowledge pathways nodes equally likely encountered. example, few locations natural points bucket 2F), though appears twice terminate "no methods." experience, (numbering dozens, examples Fig. 2) fall characterized method" part year, us unable fluxes limiting like flux estimates. possible recommended suboptimal error. Selecting requires degree precision consider trade-offs between costs. studies, parameters easier measure—like depth, wetted width/area, approximate state—may sufficient (Jaeger 2023). contrast, biogeochemistry key calculating loads (Gómez-Gener require aquatic habitat. Other trade-offs, personnel costs, frequency, time conduct outweigh scientific considerations 3. At take hours days, minutes hour required moderate addition, non-optimal breakthrough curves incomplete Portable flumes/weirs faster implement modifying channel, manually creating berms concentrate through 2C), reasons. recommendations modifications accommodate variations application gaging; suggestions situations desirable, those S1. rivers, communities. Discharge assess connectivity tributaries solutes network. Time inputs models ecosystem desired output identifying driving responses anthropogenic change. All applications full variability. universal answer question "what error acceptable flows," need clear. Although absolute changes 0.01 0.02 m3/s), system (100%). Small substantial consequences habitat extent (Rolls 2012). Detection trends hampered imprecise cause vulnerable go unquantified (Whitfield Hendrata 2006). Environmental regulations precise enforcement complicate implementation enforcement. large, difficult-to-measure norm prevent flow-duration minimal purposes. represent smaller component solute they critical hydrological, ecological, dynamics without robust addition providing systematically deciding employ determining 3) assessment. cases, modification optimization entirely new developed refined, as: slackwater pools 2A); wide, shallow, irregular, threaded 2E), opportunity modification; reaches dense vegetation; wind strongly affects velocities. commonly freshwaters share similarities coastal opening up potential transfer to/from hydrology Birgand There promising recent technological micro (Osorno time-lapse imagery trail cameras videos (Birgand 2022; Chapman Dolcetti radar altimetry (Bandini presence/absence (Chapin 2014;). Emerging tools spatiotemporal variation state assessment presence absence done advance presence/absence, unresolved. settings modeling mathematical relationship option (Gao suggest effort urgently needed, numerous viable Methods accelerates, variability around world. manage future managers achieve this, flexibility extreme Without improvements, able sustain predict continuing trajectories Understanding managing integrity, promoting quality, safeguarding access. first step high-quality Data Supplementary Information. Please note: publisher responsible content functionality any information supplied authors. Any queries (other missing content) directed author article. supported NSF-DEB Grant #1754389 Dry Rivers Research Coordination Network NSF-IOA #2019603 Aquatic Intermittency Microbiomes Streams (AIMS) project. would thank members AIMS team thoughtful conversations contributions helped ideas explored manuscript.

Язык: Английский

Процитировано

14
Spatial stream network modeling of water temperature within the White River Basin, Mount Rainier National Park, Washington DOI
Andrew S. Gendaszek, Anya C. Leach, Kristin L. Jaeger

и другие.

Scientific investigations report, Год журнала: 2025, Номер unknown

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0
Citizen scientists can help advance the science and management of intermittent rivers and ephemeral streams DOI
Amélie Truchy, Zoltán Csabai, Louise Mimeau

и другие.

BioScience, Год журнала: 2023, Номер 73(7), С. 513 - 521

Опубликована: Июль 1, 2023

Abstract Intermittent rivers and ephemeral streams are the world's dominant type of river ecosystem becoming more common because global change. However, inclusion intermittent in water policies management plans remains largely limited monitoring schemes tools designed for perennial rivers. In present article, we discuss how smartphone applications used by citizen scientists can quantify extent occurrence streams. We also introduce a new app, DRYRivERS, specifically to monitor After year use, counted than 3600 observations from 1900 reaches across 19 countries four continents. Through three case studies, then show that science improve our knowledge prevalence landscape, enhance hydrological modeling calibration, guide managers setting abstraction restrictions. Together, approach demonstrates be incorporated into environmental better inform policy.

Язык: Английский

Процитировано

8
Intersection of machine learning and mobile crowdsourcing: a systematic topic-driven review DOI

Weisi Chen,

Walayat Hussain,

Islam Al-Qudah

и другие.

Personal and Ubiquitous Computing, Год журнала: 2024, Номер unknown

Опубликована: Июнь 10, 2024

Язык: Английский

Процитировано

1
The importance of source data in river network connectivity modeling: A review DOI Open Access
Craig Brinkerhoff

Limnology and Oceanography, Год журнала: 2024, Номер unknown

Опубликована: Окт. 7, 2024

Abstract River network connectivity (RC) describes the hydrologic exchange of water, nutrients, sediments, and pollutants between river channel other “sites” via heterogenous flowpaths along corridor. As water moves downstream it carries these constituents, creating a stream‐to‐ocean continuum that regulates global carbon, nutrient cycling. models have developed over many decades, culminating in recent years with network‐scale RC explicitly simulate transport elements from headwaters to coasts, sometimes requiring contain tens millions reaches. These advances provide transformative insights into aggregate effects on material across scales local global. Yet, reviews pointed several challenges need be overcome continue advancing modeling. In service goals, I summarize maps identify similarities differences large‐scale modeling landscape. Although our computational upscaling abilities significantly improved revealed new insights, current are still limited by quantity, quality, resolution, lack standardization available situ databases source data necessary for This suggests we can extend if keep improving datasets, while continuously revisiting physics theory explain those data. doing so, will expand role informing quality management future.

Язык: Английский

Процитировано

1
Spatial Variability of Water Temperature within the White River Basin, Mount Rainier National Park, Washington DOI Open Access
Andrew S. Gendaszek, Anya C. Leach, Kristin L. Jaeger

и другие.

EarthArXiv (California Digital Library), Год журнала: 2024, Номер unknown

Опубликована: Авг. 16, 2024

Water temperature is a primary control on the occurrence and distribution of cold-water species. Rivers draining Mount Rainier in western Washington, including White River along its northern flank, support several fish populations, but spatial water temperatures, particularly during late-summer base flow between August September, climatic, hydrologic, physical processes regulating this are not well understood. Spatial stream network (SSN) models, which generalized linear models that incorporate streamwise autocovariance structures, were fit to mean seven-day average daily maximum for September basin located with National Park. The SSN calibrated using measurements collected 2010 2020. Significant covariates within best-fit included proportion ice cover forest basin, air temperature, consolidated geologic units, snow equivalent. Statistical structures had better predictive performance than those did not. In addition, September. Predictions similar general warming downstream part main-stem compared cooler temperatures high-elevation headwater streams. Estimated upper model three four degrees Celsius warmer tributaries one two main stem regional-scale model. Differences attributed observations specific River, whereas from lower elevation streams Rainer Park boundary used

Язык: Английский

Процитировано

0
Zero‐Flow Dynamics for Headwater Streams in a Humid Forested Landscape DOI Creative Commons
Jason A. Leach, Kara L. Webster, Danielle T. Hudson

и другие.

Hydrological Processes, Год журнала: 2024, Номер 38(12)

Опубликована: Дек. 1, 2024

ABSTRACT Much of our understanding on temporary headwater streams is from arid and sub‐humid environments. We know less about zero‐flow periods in humid catchments that experience seasonal snow cover. Our study characterised the temporal spatial patterns for forested a snow‐dominated landscape. used 36 years streamflow data 13 within Turkey Lakes Watershed located Canadian Shield Ontario, Canada, near eastern shores Lake Superior. These differ substantially their number May–November days (0–166 per year) despite being clustered small geographical area with similar geology, physiography vegetation The also continental climatic conditions relatively even precipitation inputs throughout year (mean annual 1210 mm/year). Inter‐annual variability was primarily associated evapotranspiration. Despite large snowpacks form this region, amount did not appear to influence extent periods. found between‐catchment occurrences related differences catchment properties typically greater groundwater influence. suggests zero‐flows can be highly variable over regions flow permanence may more sensitive spring fall weather than due partly shallow soils Shield.

Язык: Английский

Процитировано

0