Search Results - "Hydrological sciences journal"
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Impacts of urbanisation on hydrological and water quality dynamics, and urban water management: a review
Published in Hydrological sciences journal (02-10-2016)“…As urban space continues to expand to accommodate a growing global population, there remains a real need to quantify and qualify the impacts of urban space on…”
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Flood risk and climate change: global and regional perspectives
Published in Hydrological sciences journal (02-01-2014)“…A holistic perspective on changing rainfall-driven flood risk is provided for the late 20th and early 21st centuries. Economic losses from floods have greatly…”
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decade of Predictions in Ungauged Basins (PUB)—a review
Published in Hydrological sciences journal (01-08-2013)“…The Prediction in Ungauged Basins (PUB) initiative of the International Association of Hydrological Sciences (IAHS), launched in 2003 and concluded by the PUB…”
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“Panta Rhei—Everything Flows”: Change in hydrology and society—The IAHS Scientific Decade 2013–2022
Published in Hydrological sciences journal (01-08-2013)“…The new Scientific Decade 2013–2022 of IAHS, entitled “Panta Rhei—Everything Flows”, is dedicated to research activities on change in hydrology and society…”
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Challenges in operationalizing the water-energy-food nexus
Published in Hydrological sciences journal (18-08-2017)“…Concerns about the water-energy-food (WEF) nexus have motivated many discussions regarding new approaches for managing water, energy and food resources…”
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Techniques for assessing water infrastructure for nonstationary extreme events: a review
Published in Hydrological sciences journal (17-02-2018)“…Statistical and physically-based methods have been used for designing and assessing water infrastructure such as spillways and stormwater drainage systems…”
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Climate change impacts on meteorological drought using SPI and SPEI: case study of Ankara, Turkey
Published in Hydrological sciences journal (25-01-2020)“…Using regionally downscaled and adjusted outputs of three global climate models (GCMs), meteorological drought analysis was accomplished across Ankara, the…”
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Estimation of monthly reference evapotranspiration using novel hybrid machine learning approaches
Published in Hydrological sciences journal (18-11-2019)“…In this research, five hybrid novel machine learning approaches, artificial neural network (ANN)-embedded grey wolf optimizer (ANN-GWO), multi-verse optimizer…”
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Facets of uncertainty: epistemic uncertainty, non-stationarity, likelihood, hypothesis testing, and communication
Published in Hydrological sciences journal (03-07-2016)“…This paper presents a discussion of some of the issues associated with the multiple sources of uncertainty and non-stationarity in the analysis and modelling…”
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Evaluating model performance: towards a non-parametric variant of the Kling-Gupta efficiency
Published in Hydrological sciences journal (26-10-2018)“…Goodness-of-fit measures are important for an objective evaluation of runoff model performance. The Kling-Gupta efficiency (RKG), which has been introduced as…”
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Measurements and Observations in the XXI century (MOXXI): innovation and multi-disciplinarity to sense the hydrological cycle
Published in Hydrological sciences journal (01-01-2018)“…To promote the advancement of novel observation techniques that may lead to new sources of information to help better understand the hydrological cycle, the…”
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How the performance of hydrological models relates to credibility of projections under climate change
Published in Hydrological sciences journal (04-04-2018)“…Two approaches can be distinguished in studies of climate change impacts on water resources when accounting for issues related to impact model performance: (1)…”
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Comparing 2D capabilities of HEC-RAS and LISFLOOD-FP on complex topography
Published in Hydrological sciences journal (26-10-2019)“…This study evaluates and compares two-dimensional (2D) numerical models of different complexities by testing them on a floodplain inundation event that…”
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River suspended sediment load prediction based on river discharge information: application of newly developed data mining models
Published in Hydrological sciences journal (11-03-2020)“…Suspended sediment load (SSL) is one of the essential hydrological processes that affects river engineering sustainability. Sediment has a major influence on…”
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Citizens AND HYdrology (CANDHY): conceptualizing a transdisciplinary framework for citizen science addressing hydrological challenges
Published in Hydrological sciences journal (10-12-2022)“…Widely available digital technologies are empowering citizens who are increasingly well informed and involved in numerous water, climate, and environmental…”
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16
Forecasting monthly precipitation using sequential modelling
Published in Hydrological sciences journal (26-04-2019)“…In the hydrological cycle, rainfall is a major component and plays a vital role in planning and managing water resources. In this study, new generation deep…”
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17
Adaptive neuro-fuzzy inference system coupled with shuffled frog leaping algorithm for predicting river streamflow time series
Published in Hydrological sciences journal (26-07-2020)“…Accurate runoff forecasting plays a key role in catchment water management and water resources system planning. To improve the prediction accuracy, one needs…”
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Using flow signatures and catchment similarities to evaluate the E-HYPE multi-basin model across Europe
Published in Hydrological sciences journal (25-01-2016)“…Open data make it possible to set up multi-basin models for large domains across environmental, climate and administrative boundaries. This study presents new…”
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Differences in flood hazard projections in Europe - their causes and consequences for decision making
Published in Hydrological sciences journal (02-01-2017)“…This paper interprets differences in flood hazard projections over Europe and identifies likely sources of discrepancy. Further, it discusses potential…”
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Large-sample hydrology: recent progress, guidelines for new datasets and grand challenges
Published in Hydrological sciences journal (03-04-2020)“…Large-sample hydrology (LSH) relies on data from large sets (tens to thousands) of catchments to go beyond individual case studies and derive robust…”
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