<i>tran</i>-SAS v1.0: a numerical model to compute catchment-scale hydrologic <i>tran</i>sport using StorAge Selection functions DOI Creative Commons
Paolo Benettin, Enrico Bertuzzo

Published: Jan. 16, 2018

Abstract. This paper presents the tran-SAS package, which includes a set of codes to model solute transport and water residence times through hydrological system. The is based on catchment-scale approach that aims at reproducing integrated response system one its outlets. are implemented in MATLAB meant be easy edit, so users with minimal programming knowledge can adapt them desired application. problem large-scale has both theoretical practical implications. On side, ability represent ensemble flow trajectories heterogeneous helps unraveling streamflow generation processes allows making inferences plant-water interactions. other models tool used estimate persistence solutes environment. core package implementation an age Master Equation (ME), solved using general StorAge Selection (SAS) functions. ME first converted into ordinary differential equations, each addressing individual precipitation input catchment, then it discretized explicit numerical scheme. Results show efficient run short times. accuracy critically evaluated shown satisfactory most cases hydrologic interest. Additionally, higher-order provided within evaluate and, if necessary, improve results. concentration, but number additional outputs obtained by editing further advance understand catchment processes.

Language: Английский

Storage selection functions: A coherent framework for quantifying how catchments store and release water and solutes DOI Open Access
Andrea Rinaldo, Paolo Benettin, C. J. Harman

et al.

Water Resources Research, Journal Year: 2015, Volume and Issue: 51(6), P. 4840 - 4847

Published: June 1, 2015

Abstract We discuss a recent theoretical approach combining catchment‐scale flow and transport processes into unified framework. The is designed to characterize the hydrochemistry of hydrologic systems meet challenges posed by empirical evidence. StorAge Selection functions (SAS) are defined represent way catchment storage supplies outflows with water different ages, thus regulating chemical composition out‐fluxes. Biogeochemical also reflected in evolving residence time distribution age‐selection. Here we make case for routine use SAS look forward areas where further research needed.

Language: Английский

Citations

235
Using SAS functions and high‐resolution isotope data to unravel travel time distributions in headwater catchments DOI
Paolo Benettin, Chris Soulsby, Christian Birkel

et al.

Water Resources Research, Journal Year: 2017, Volume and Issue: 53(3), P. 1864 - 1878

Published: Feb. 11, 2017

Abstract We use high‐resolution tracer data from an experimental site to test theoretical approaches that integrate catchment‐scale flow and transport processes in a unified framework centered on selective age sampling by streamflow evapotranspiration fluxes. Transport operating at the catchment scale are reflected evolving residence time distribution of water storage selection operated out‐fluxes. Such described here through StorAge Selection (SAS) functions parameterized as power laws normalized rank storage. computed appropriate solution master equation defining formally evolution travel times. By representing way which generates outflows composed different ages, main mechanism regulating composition runoff is clearly identified detailed comparison with empirical sets possible. Properly calibrated numerical tools provide simulations convincingly reproduce complex measured signals daily deuterium content stream waters during wet dry periods. Results for under consideration consistent other recent studies indicating tendency natural catchments preferentially release younger available water. The study shows law SAS prove powerful tool explain also has potential less intensively monitored sites.

Language: Английский

Citations

173
Linking water age and solute dynamics in streamflow at the Hubbard Brook Experimental Forest, NH, USA DOI Open Access
Paolo Benettin, Scott W. Bailey, John L. Campbell

et al.

Water Resources Research, Journal Year: 2015, Volume and Issue: 51(11), P. 9256 - 9272

Published: Nov. 1, 2015

Abstract We combine experimental and modeling results from a headwater catchment at the Hubbard Brook Experimental Forest (HBEF), New Hampshire, USA, to explore link between stream solute dynamics water age. A theoretical framework based on age dynamics, which represents general basis for characterizing transport scale, is here applied conservative weathering‐derived solutes. Based available information about hydrology of site, an integrated model was developed used compute hydrochemical fluxes. The designed reproduce deuterium content streamflow allowed estimate storage dynamic travel time distributions (TTDs). innovative contribution this paper simulation dissolved silicon sodium concentration in streamflow, achieved by implementing first‐order chemical kinetics explicitly TTD, thus upscaling local geochemical processes scale. Our highlight key role stored within subsoil glacial material both short‐term long‐term circulation. analysis provided their evolution related wetness conditions. use 14 year data set shows that, scales, such geogenic solutes are mostly controlled hydrologic drivers, determine contact times mineral interfaces. Justifications limitations toward theory reactive circulation scales discussed.

Language: Английский

Citations

105
Downscaled‐GRACE Data Reveal Anthropogenic and Climate‐Induced Water Storage Decline Across the Indus Basin DOI Creative Commons
Arfan Arshad, Ali Mirchi, Saleh Taghvaeian

et al.

Water Resources Research, Journal Year: 2024, Volume and Issue: 60(7)

Published: July 1, 2024

Abstract GRACE (Gravity Recovery and Climate Experiment) has been widely used to evaluate terrestrial water storage (TWS) groundwater (GWS). However, the coarse‐resolution of data limited ability identify local vulnerabilities in changes associated with climatic anthropogenic stressors. This study employs high‐resolution (1 km 2 ) generated through machine learning (ML) based statistical downscaling illuminate TWS GWS dynamics across twenty sub‐regions Indus Basin. Monthly anomalies obtained from a geographically weighted random forest (RF gw model maintained good consistency original at 25 grid scale. The downscaled 1 resolution illustrate spatial heterogeneity depletion within each sub‐region. Comparison in‐situ 2,200 monitoring wells shows that significantly improves agreement data, evidenced by higher Kling‐Gupta Efficiency (0.50–0.85) correlation coefficients (0.60–0.95). Hotspots highest decline rate between 2002 2023 were Dehli Doab (−442, −585 mm/year), BIST (−367, −556 Rajasthan (−242, −381 BARI (−188, −333 mm/year). Based on general additive model, 47%–83% was stressors mainly due increasing trends crop sown area, consumption, human settlements. lower (i.e., −25 −75 mm/year) upstream (e.g., Yogo, Gilgit, Khurmong, Kabul) where factors (downward shortwave radiations, air temperature, sea surface temperature) explained 72%–91% TWS/GWS changes. relative influences varied sub‐regions, underscoring complex interplay natural‐human activities basin. These findings inform place‐based resource management Basin advancing understanding vulnerabilities.

Language: Английский

Citations

13
Downscaled GRACE/GRACE-FO observations for spatial and temporal monitoring of groundwater storage variations at the local scale using machine learning DOI
Shoaib Ali, Jiangjun Ran, Behnam Khorrami

et al.

Groundwater for Sustainable Development, Journal Year: 2024, Volume and Issue: 25, P. 101100 - 101100

Published: Jan. 23, 2024

Language: Английский

Citations

11
Spatiotemporal analysis of drought patterns and trends across Africa: a multi-scale SPEI approach (1960–2018) DOI Creative Commons
Akinwale T. Ogunrinde, Adigun Paul Ayodele, Xian Xue

et al.

International Journal of Digital Earth, Journal Year: 2025, Volume and Issue: 18(1)

Published: Jan. 6, 2025

This study provides unprecedented insights into water scarcity dynamics across Africa's diverse climatic zones, utilizing the Standardized Precipitation-Evapotranspiration Index (SPEI) multiple timescales from 1960 to 2018. Employing Modified Mann-Kendall test, Sen's Slope estimator, and copula functions, we analyzed drought characteristics eight African subregions using CRU TS4.05 dataset. Key findings reveal significant spatial heterogeneity in trends, with increasing dryness particularly evident Mediterranean Sahara regions. A pronounced shift towards drier conditions emerged post-1990, mean duration expanding 1.5 months (SPEI-3) over 6 (SPEI-24). Drought intensity increased by 0.2 unit annually, while frequency decreased 20%. The region demonstrated highest trend timescales. Return period analyses showed most sub-regions experiencing short-term droughts low severity, extreme events remained less frequent. These underscore complex nature of patterns, emphasizing critical need for region-specific, adaptive climate strategies address unique ecological challenges.

Language: Английский

Citations

1
The impacts of drought on water availability: spatial and temporal analysis in the Belt and Road region (2001–2020) DOI Creative Commons
Jing Lu, Jia Li, Massimo Menenti

et al.

International Journal of Digital Earth, Journal Year: 2025, Volume and Issue: 18(1)

Published: Jan. 8, 2025

Climate change, population growth, and economic development exacerbate water scarcity. This study investigates the impact of drought on availability in Belt Road region using high-resolution remote sensing data from 2001 to 2020. The results revealed an average (precipitation minus evapotranspiration) 249 mm/year a declining trend region. Approximately 13% faces deficits (evapotranspiration exceeds precipitation), primarily arid semi-arid regions with high frequency. area deficit is expanding, intensity increasing. annual strongly related frequency droughts, i.e. decreases increased Drought exacerbates seasonal stress approximately one-third region, mainly Europe northern Asia, where frequently occurs during seasons low availability. more severe drought, larger negative anomaly critical role evapotranspiration variability also highlighted. research underscores importance understanding drought-induced changes availability, which crucial for sustainable resource management.

Language: Английский

Citations

1
A new multivariate composite drought index considering the lag time and the cumulative effects of drought DOI

Mengjia Yuan,

Guojing Gan, Jingyi Bu

et al.

Journal of Hydrology, Journal Year: 2025, Volume and Issue: unknown, P. 132757 - 132757

Published: Jan. 1, 2025

Language: Английский

Citations

0
A Novel Agricultural Remote Sensing Drought Index (ARSDI) for high-resolution drought assessment in Africa using Sentinel and Landsat data DOI

Nasser A. M. Abdelrahim,

Shuanggen Jin

Environmental Monitoring and Assessment, Journal Year: 2025, Volume and Issue: 197(3)

Published: Feb. 4, 2025

Language: Английский

Citations

0
Assessing the impact of 2022 extreme drought on the Yangtze River basin using downscaled GRACE/GRACE-FO data obtained by partitioned random forest algorithm DOI
Lilu Cui,

Yu Li,

Bo Zhong

et al.

International Journal of Remote Sensing, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 29

Published: Dec. 4, 2024

The Gravity Recovery and Climate Experiment (GRACE) GRACE Follow-On (GRACE-FO) data have been widely used to monitor analyze extreme hydrological events globally. However, their coarse spatial resolution limits application in small- medium-scale regions. In this study, we proposed a partitioned random forest downscaling (PRFD) strategy improve the of GRACE/GRACE-FO quantitatively assessed performance using closed-loop simulation experiment. Our enhanced approach improved from 1°to 0.1°, downscaled were characterize 2022 drought Yangtze River basin (YRB), with particular on smaller (i.e. Wu basin, WRB). findings show that PRFD reduced root mean square error by 39.29% compared traditional over RF (ORFD), 27.8% grid points showed significantly accuracy improvements. results provided more detailed depiction YRB, allowing for precision identification onset, extent severity, accurate assessment impacts WRB. originated northern WRB, gradually extending southward across severe conditions north than south. High temperatures low precipitation primary drives, while elevated high human water use also contributed. This study provides valuable technique understanding regional-scale areas.

Language: Английский

Citations

1