Streamflow drought onset and severity explained by non‐linear responses between climate‐catchment and land surface processes

Hydrological Processes, Journal Year: 2024, Volume and Issue: 38(7)

Published: July 1, 2024

Abstract Knowledge of drought onset and its relationship with severity (deficit volume) is crucial for providing timely information reservoir operations, irrigation scheduling, devising cropping choices patterns managing surface groundwater water resources. An analysis the between timing deficit volume can help in hazard assessments associated risks. Despite importance, little attention has been paid to understand potential linkage effective monitoring impact assessment. Further, only a few studies have explored role environmental controls, encompassing interaction climate, catchment land‐surface processes influencing streamflow droughts characteristics such as time severity. This study leverages quality‐controlled observations from 1965 2018 unveil regional onset, at‐site trends detect non‐linear relationships across 82 rain‐fed catchments peninsular India (8°–24° N, 72°–87° E). We show that around 12% an earlier conjunction decreasing trend volume. approximately one‐third significant dependency time. Among soil topographic properties, we found organic carbon stock dominant drivers controlling Likewise, sand content vertical distance channel network control Finally, linkages inferred low‐flow generation mechanisms specific combinations controls are synthesized conceptual diagram might assist developing appropriate models simulations predictions, especially ungauged sites. The new insights add value understanding chain physical linking climatic physiographic on droughts, which support forecasting climate assessment efforts.

Language: Английский

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HESS Opinions: Towards a common vision for the future of hydrological observatories

Hydrology and earth system sciences, Journal Year: 2025, Volume and Issue: 29(2), P. 465 - 483

Published: Jan. 23, 2025

Abstract. The Unsolved Problems in Hydrology (UPH) initiative has emphasized the need to establish networks of multi-decadal hydrological observatories gain a deep understanding complex hydrologic processes occurring within diverse environmental conditions. already existing monitoring infrastructures have provided an enormous amount hydrometeorological data, facilitating detailed insights into causal mechanisms processes, testing scientific theories and hypotheses, revelation physical laws governing catchment behavior. Yet, programs often produced limited outcomes due intermittent availability financial resources substantial efforts required operate conduct comparative studies advance previous findings. Recently, some initiatives emerged that aim coordinate data acquisition hypothesis facilitate efficient cross-site synthesis To this end, common vision practical management solutions be developed. This opinion paper provocatively discusses two potential endmembers future observatory (HO) network based on given hypothesized community budget: comprehensive set moderately instrumented or, alternatively, small number highly supersites. A sites would provide broad spatial coverage across major pedoclimatic regions by supporting lumped response (e.g., rainfall–runoff relationship, Budyko analysis) continental landscapes. However, moderate instrumentation at each site may hamper in-depth processes. In contrast, extensively research enable community-based experiments unprecedented manner, thereby deeper complex, non-linear modulated scale-dependent feedback multiscale spatiotemporal heterogeneity. Lumping proven effective strategy other geosciences, e.g., vessels oceanography drilling geology. On downside, limitation approach is few catchments will not representative all regions, necessitating consideration generalization issues. discussion relative merits limitations these visions regarding HOs presented build consensus optimal path for address UPH coming decades. final proposes integrating flexible strategy. Keywords: network, experimental catchments, synthesis, vs. exploratory science, unsolved problems hydrology, societal needs, technology advancements.

Language: Английский

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Multiscale Entropy Analysis of Rainfall and Streamflow Dynamics in Ceará, Brazil: Implications for Hydrological Predictability and Water Resource Management

Water Conservation Science and Engineering, Journal Year: 2025, Volume and Issue: 10(1)

Published: March 14, 2025

Language: Английский

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A composite index framework for compound flood risk assessment

Communications Earth & Environment, Journal Year: 2025, Volume and Issue: 6(1)

Published: May 3, 2025

Language: Английский

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What Drives Spatial Variance of Hydrological Behaviour? An Analysis of the Regional Groundwater-Stream Continuum

Published: Jan. 1, 2025

Language: Английский

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Modeling stationary, periodic, and long memory processes by superposed jump-driven processes

Chaos Solitons & Fractals, Journal Year: 2024, Volume and Issue: 188, P. 115357 - 115357

Published: Sept. 7, 2024

Language: Английский

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A unified runoff generation scheme for applicability across different hydrometeorological zones

Environmental Modelling & Software, Journal Year: 2024, Volume and Issue: 180, P. 106138 - 106138

Published: July 22, 2024

Language: Английский

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Assessing groundwater level modelling using a 1-D convolutional neural network (CNN): linking model performances to geospatial and time series features

Hydrology and earth system sciences, Journal Year: 2024, Volume and Issue: 28(19), P. 4407 - 4425

Published: Oct. 7, 2024

Abstract. Groundwater level (GWL) forecasting with machine learning has been widely studied due to its generally accurate results and low input data requirements. Furthermore, models for this purpose can be set up trained quickly compared the effort required process-based numerical models. Despite demonstrating high performance at specific locations, applying same model architecture multiple sites across a regional area lead varying accuracies. The reasons behind discrepancy in have scarcely examined previous studies. Here, we explore relationship between geospatial time series features of sites. Using precipitation (P) temperature (T) as predictors, monthly groundwater levels approximately 500 observation wells Lower Saxony, Germany, 1-D convolutional neural network (CNN) fixed hyperparameters tuned each individually. GWL observations range from 21 71 years, resulting variable test training dataset ranges. performances are evaluated against selected characteristics (e.g. land cover, distance waterworks, leaf index) autocorrelation, flat spots, number peaks) using Pearson correlation coefficients. Results indicate that is negatively influenced near waterworks densely vegetated areas. Longer subsequences measurements above or below mean impact accuracy. Besides, containing more irregular patterns higher peaks might performances, possibly closer link dynamics. As deep known black-box missing understanding physical processes, our work provides new insights into how input–output model.

Language: Английский

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paradojas de la eficiencia de riego asociadas a la tecnificación de zonas de riego

Revista de El Colegio de San Luis, Journal Year: 2024, Volume and Issue: 14(25), P. 1 - 41

Published: Aug. 13, 2024

La agricultura de riego es el mayor consumidor agua en mundo. tecnificación la irrigación recurrentemente forma parte las políticas públicas subsidiadas para ahorrar y ser transferida a otros sectores, como caso del proyecto Agua Saludable Laguna, norte México. El objetivo este artículo revisar bases científicas los estudios que paradojas eficiencia riego, hidrológica Jevons, se relacionan con zonas riego. Se plantea principio eficientizar una acción bien intencionada; sin embargo, puede producir efecto contrario al ahorro fomentar un incremento extracción través múltiples escalas hidrológicas. Datos hidrológicos agronómicos preliminares Comarca Lagunera indican resolución ambas requiere nuevo marco conceptual sustentado análisis riguroso flujos superficiales subterráneos integre efectos zona desde parcela hasta cuenca hidrológica.

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HESS Opinions: Towards a common vision for the future of hydrological observatories

Published: June 12, 2024

Abstract. The Unsolved Problems in Hydrology (UPH) initiative has emphasized the need to establish networks of multi-decadal hydrological observatories tackle catchment-scale challenges on a global scale. already existing monitoring infrastructures have provided an enormous amount hydrometeorological data, which helped gain detailed insights into causality processes, test scientific theories and hypotheses, reveal physical laws governing catchment behavior. Nevertheless, we are still long way from being able fully unravel all mysteries processes solve practical water-related problems. Hydrological programs often produced limited outcomes because intermittent availability financial resources substantial efforts required operate conduct comparative studies advance previous findings. Recently, some initiatives emerged aiming at coordinating data acquisition hypothesis testing facilitate efficient cross-site synthesis To this end, common vision management solutions be developed. This opinion paper provocatively discusses two end members possible future observatory (HO) for given hypothesized community budget: comprehensive set moderately instrumented or, alternatively, small number highly super-sites. A network instrumented, sites distributed across globe would provide broad spatial coverage major pedoclimatic regions, help address UPH about impact climate social systems (e.g., land use change warming) water resources, enhance potential knowledge transfer. However, moderate instrumentation each site may hamper in-depth understanding complex processes. In contrast, few extensively research allow community-based experiments unprecedented manner, thereby providing more fundamental complex, non-linear modulated by scale-dependent feedback multiscale spatio-temporal heterogeneity. Lumping proven effective strategy other geosciences, e.g. vessels oceanography drilling geology. On downside, catchments will not representative necessitating consideration generalization issues. discussion relative merits limitations these visions HOs is presented with objective building consensus optimal path coming decades. final proposes combining flexible strategy.

Language: Английский

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