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Hydrological sciences journal
International Association of Hydrological Sciences
Hydrological sciences journal

International Association of Hydrological Sciences

0262-6667

Hydrological sciences journal/Journal Hydrological sciences journalSCIEI
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    History of hydrological research in Slovakia and its links to water management

    Holko, LadislavPekarova, PavlaSzolgay, JanMiklanek, Pavol...
    10-26页
    查看更多>>摘要：The article outlines the development of water resources management and research in hydrology in Slovakia in the last century, when the centralized water resources planning provided a robust framework for the development of hydrological research. We first present facts about the organization of research in hydrology from 1948 to 1990, which dealt with various problems of practical relevance. Experimental research and its international outreach in the collaborative programmes of the Danube countries or the United Nations Educational, Scientific and Cultural Organization (UNESCO) water programmes are described. Then, the main achievements related to experimental hydrological research in two small research catchments with long histories of operation, the Motenik Brook and Bystrianka Creek catchments, are presented. Short biographies of researchers who significantly contributed to the overall development of water management or hydrological research in small catchments in Slovakia are provided.
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    Shifting cold regions streamflow regimes in North America affect flood frequency analysis

    Burn, Donald H.Whitfield, Paul. H.
    51-70页
    查看更多>>摘要：Over-threshold flood events in 70 years of data from 202 reference hydrometric stations in Canada and the United States were separated into nival, mixed, and pluvial flood types. While Mann-Kendall trend tests showed few significant trends in flood magnitude, significant changes in flood type fraction were found over time, with annual mean temperature, and with annual precipitation. Nival events decreased in frequency over the 70-year period in 16% of sites, while mixed and pluvial events increased (5%, 12%). These changes indicate a shift from nival events towards more pluvial-dominated systems. Fewer significant changes in flood type fraction were found with analysis against four climate indices. Flood frequency analysis using a combined distribution approach with the three flood types resulted in larger magnitude design flow estimates (median increase of 20-30%) in comparison with the results from considering the data as a single population.
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    Derivation of fractured rock hybrid analytical equation for estimation of groundwater inflow into mine pit using major fault trigonometry

    Coffie-Anum, EmmanuelKuma, Jerry S. Y.Ewusi, AnthonyAffam, Michael...
    71-92页
    查看更多>>摘要：In hydrogeology, equations describing exchange flux in sedimentary systems mainly focus on the geometry of the streambed-aquifer system and parameters. However, groundwater flow in fractured crystalline basement and volcanic rocks, which are mainly characterized by restricted flow, receives little attention in groundwater flow equations, possibly due to a lack of appropriate data. This study develops an analytical equation to estimate groundwater inflow into mine pits in volcanic rock, addressing a significant knowledge gap in the literature. The equation was validated through a case study evaluation at the Nsuta Mine, where it accurately estimated groundwater inflow into the pit. Results indicate that estimated inflow at the current pit floor level (-60 MSL) is 38 710 m(3)/day, which is close to the actual dewatering rate of 39 794 m(3)/day (error percentage of 2.8%). The study also projects groundwater inflow at a deeper pit level (-200 MSL) to be 82 400 m(3)/day with a corresponding flux of 0.331 m/day.
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    Multi-covariate non-stationary flood frequency analysis for assessing flood hazard over the Mahanadi River basin, India

    Bhere, SachinJanga Reddy, Manne
    93-109页
    查看更多>>摘要：Due to climate change and anthropogenic activities, the river's peak flow is changing, which prompts exploring the non-stationary flood frequency analysis. Most of the past studies modelled the non-stationarity of floods, considering time and/or a single dominant covariate influencing the flood flows, but they are inadequate. This study proposes a multi-covariate non-stationary flood frequency model (MC-NSFFM) and investigates the influence of different covariates, such as rainfall, modified reservoir index (MRI), and climate indices, for the Mahanadi River basin in India. The models' performances are evaluated by comparing them with the results of stationary and single-covariate non-stationary flood frequency models (SC-NSFFMs) using standard performance measures and return period analysis. The study showed that the MC-NSFFMs performed better than stationary and SC-NSFFMs. The flood return levels corresponding to the MC-NSFFMs are 4% to 22% higher than those of the stationary models, indicating the rise in flood risks due to climate change and anthropogenic activities.
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    Simulating water balance and nutrient losses in a pastoral catchment using the SWAT plus model: added value of isotope data

    Yulianti, MetiOEzkundakci, DenizRidwansyah, Iwan
    127-143页
    查看更多>>摘要：New Zealand's freshwater is under increasing pressure from intensified dairy farming. This study assesses agricultural nitrogen loads from small pastoral catchments contributing to eutrophication and periodic algae blooms in a lake. Using the Soil and Water Assessment Tool (SWAT+), we simulated hydrological processes and nutrient loads, incorporating water (delta H-2, delta O-18) and nitrate (delta N-15, delta O-18) isotope data to improve model performance. The SWAT+ model was calibrated and validated with flow and nitrate data, achieving R-2 values of 0.65-0.90, Nash-Sutcliffe efficiency (NSE) of 0.46-0.82, and percent bias (PBIAS) between 10.24% and 33.48%. The study demonstrates that stable isotope insights can enhance SWAT+ modelling accuracy and highlight the need for better fertilizer management to reduce nutrient loads.
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    A probabilistic integration of LSTM and Gaussian process regression for uncertainty-aware reservoir water level predictions

    Tandon, KshitijSen, Subhamoy
    144-161页
    查看更多>>摘要：Reservoir-level forecasting, while being crucial for optimal operation, is challenged by complex physical processes and changing climate conditions. Machine learning approaches offer deterministic predictions but often neglect system physics and uncertainty. This article presents a probabilistic data-driven approach combining long short-term memory (LSTM) and Gaussian process regression (GPR) to provide both point forecasts and uncertainty estimates. The hybrid model leverages LSTM's fitting capabilities with GPR's robust Bayesian frameworks for uncertainty estimation in non-linear problems, offering accurate predictions without extensive high-fidelity modelling, and avoiding frequent training and parameter optimization. Evaluation with real reservoir data from India shows the model's superiority over the vanilla LSTM for both univariate and multivariate scenarios. The proposed model achieved a Nash-Sutcliffe efficiency of 0.97 to 0.98, a mean biased error of -0.5634 to -1.0314 for 10-day forecasts, and a continuous ranked probability score of 5.80 and 1.87 for the Bhakra and Pong reservoirs, respectively.
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    Estimation of sensible and latent heat flux and evapotranspiration in arid regions using inverse analysis

    Maruyama, ToshisukeSegawa, ManabuTakimoto, Hiroshi
    162-175页
    查看更多>>摘要：Drylands cover approximately 40% of the Earth's land surface and account for up to 44% of cultivated lands. Therefore, evapotranspiration in drylands is an essential indicator of global warming because net radiation is partitioned into sensible (H, warming) and latent (LE, cooling) heat flux. This study aimed to estimate H (H-est) and LE (LEest) in arid regions using an inverse analysis (IA) method. The observed sensible (H-obs) and latent energy fluxes (LEobs) were compared with H-est and LEest over four time scales to confirm the reliability of the method, demonstrating that H-est and LEest were highly similar to H-obs and LEobs. Estimation accuracy was evaluated by the root mean squared error (RMSE) at each time scale, indicating that H-est and LEest can be reasonably estimated using IA. The method is expected to contribute significantly to estimating evapotranspiration for global warming research by providing for estimating H and LE in drylands.
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    The debate on the origin of springs in Italy in the age of the Scientific Revolution

    Barontini, StefanoSettura, Matteo
    177-192页
    查看更多>>摘要：In the second half of the 17th century, Perrault's and Mariotte's works, followed by Halley's measures of evaporation, paved the way to the comprehenison of the hydrological cycle as it is currently understood. In Italy the debate was lively and involved a number of scholars, who actively or only cursorily dealt with the theme. They were pure or applied mathematicians, natural scientists, Jesuit scholars and physicians, technicians and connoisseurs of the matter. In this work we reanalyse this complex and multifaceted debate, which, over the course of the century from 1642 to 1741, slowly came to the acceptance of the new paradigm, in the light of the following interpretative keys: (i) the relationship with the coeval international literature, (ii) the legacy of Galilean and Newtonian mechanics, (iii) the attitude towards measurement and experimental practice, (iv) the persistencies of the Aristotelian epistemology and perception of Nature.
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    A framework for implementation of environmental flow requirements through community perceptions - the case of Bargi Dam, Jabalpur District, Madhya Pradesh

    Govind, M. P.Pandey, Rama UmeshKumar, Pradeep
    193-208页
    查看更多>>摘要：Environmental flow refers to the ecological need for water, including lentic and lotic ecosystems. The Brisbane Declaration on Environmental Flows in 2018 defines minimum low flow and minimum flushing flow for meeting these needs. A framework integrating the Sustainable Management of Hydrological Alteration (SUMHA) framework and the perception-based Bayesian belief network (BBN) model was applied to a storage-based dam project on a rain-fed river stretch in India. The framework visualizes relationships between influencing variables and river ecosystem services, aiding in informed water management decisions. Through this research, it is demonstrated that the proposed framework has potential in estimating and implementing the environmental flow requirements (EFRs) and for building scenarios pertaining to river ecosystem management in the context of existing storage-based hydropower projects, which is pertinent in the case of ecological data-scarce conditions prevailing in developing countries including India.
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    Assessing the impact of a large multi-purpose reservoir on flood control under moderate and extreme flood conditions

    Chakraborty, PratikDe Kock, SophieArchambeau, PierrePirotton, Michel...
    209-235页
    查看更多>>摘要：This study offers a detailed examination of the Eupen dam's role in flood mitigation in Belgium's Vesdre valley, analysing 18 moderate and extreme flood events from 1995 to 2022. Notable aspects of the methodology include adjustments for an ungauged sub-basin and a mass-balance approach to compute the unknown outflow data from the inflow time series and reservoir level data. These 18 events evidence the dam's performance hitherto, with respect to peak discharge attenuation (9-91%), peak delay (0-68 h), outflow volume reduction (2-94%), and discharge reductions associated with various return periods (38-51%), given its multipurpose objectives. The research details how the dam's effectiveness varies with operational decisions and antecedent reservoir conditions, marking a departure from conventional studies that tend to generalize data across multiple dams and events. By focusing on individual events, the study provides insights into the nuanced interplay between dam operations and flood management, demonstrating the benefits and limitations of multi-purpose reservoirs in flood control.
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