Search Results - "Hydrological sciences journal"

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  1. 1

    Impacts of urbanisation on hydrological and water quality dynamics, and urban water management: a review by McGrane, Scott J.

    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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    Journal Article
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    decade of Predictions in Ungauged Basins (PUB)—a review by Hrachowitz, M, Savenije, H.H.G, Blöschl, G, McDonnell, J.J, Sivapalan, M, Pomeroy, J.W, Arheimer, B, Blume, T, Clark, M.P, Ehret, U, Fenicia, F, Freer, J.E, Gelfan, A, Gupta, H.V, Hughes, D.A, Hut, R.W, Montanari, A, Pande, S, Tetzlaff, D, Troch, P.A, Uhlenbrook, S, Wagener, T, Winsemius, H.C, Woods, R.A, Zehe, E, Cudennec, C

    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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    Challenges in operationalizing the water-energy-food nexus by Liu, J., Yang, H., Cudennec, C., Gain, A.K., Hoff, H., Lawford, R., Qi, J., Strasser, L. de, Yillia, P.T., Zheng, C.

    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 by Salas, J. D., Obeysekera, J., Vogel, R. M.

    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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  7. 7

    Climate change impacts on meteorological drought using SPI and SPEI: case study of Ankara, Turkey by Danandeh Mehr, Ali, Sorman, Ali Unal, Kahya, Ercan, Hesami Afshar, Mahdi

    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 by Tikhamarine, Yazid, Malik, Anurag, Kumar, Anil, Souag-Gamane, Doudja, Kisi, Ozgur

    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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  9. 9

    Facets of uncertainty: epistemic uncertainty, non-stationarity, likelihood, hypothesis testing, and communication by Beven, Keith

    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 by Pool, Sandra, Vis, Marc, Seibert, Jan

    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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    How the performance of hydrological models relates to credibility of projections under climate change by Krysanova, Valentina, Donnelly, Chantal, Gelfan, Alexander, Gerten, Dieter, Arheimer, Berit, Hattermann, Fred, Kundzewicz, Zbigniew W.

    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 by Shustikova, Iuliia, Domeneghetti, Alessio, Neal, Jeffrey C., Bates, Paul, Castellarin, Attilio

    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 by Salih, Sinan Q., Sharafati, Ahmad, Khosravi, Khabat, Faris, Hossam, Kisi, Ozgur, Tao, Hai, Ali, Mumtaz, Yaseen, Zaher Mundher

    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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    Forecasting monthly precipitation using sequential modelling by Kumar, Deepak, Singh, Anshuman, Samui, Pijush, Jha, Rishi Kumar

    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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    Adaptive neuro-fuzzy inference system coupled with shuffled frog leaping algorithm for predicting river streamflow time series by Mohammadi, Babak, Linh, Nguyen Thi Thuy, Pham, Quoc Bao, Ahmed, Ali Najah, Vojteková, Jana, Guan, Yiqing, Abba, S.I., El-Shafie, Ahmed

    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 by Donnelly, Chantal, Andersson, Jafet C.M., Arheimer, Berit

    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 by Kundzewicz, Z. W., Krysanova, V., Dankers, R., Hirabayashi, Y., Kanae, S., Hattermann, F. F., Huang, S., Milly, P. C. D., Stoffel, M., Driessen, P. P. J., Matczak, P., Quevauviller, P., Schellnhuber, H.-J.

    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 by Addor, Nans, Do, Hong X., Alvarez-Garreton, Camila, Coxon, Gemma, Fowler, Keirnan, Mendoza, Pablo A.

    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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