@article{FortesaGarciaComendadorCalsamigliaetal.2019, author = {Fortesa, Josep and Garc{\´i}a-Comendador, Julian and Calsamiglia, A. and L{\´o}pez-Taraz{\´o}n, Jos{\´e} Andr{\´e}s and Latron, J. and Alorda, B. and Estrany, Joan}, title = {Comparison of stage/discharge rating curves derived from different recording systems}, series = {The science of the total environment : an international journal for scientific research into the environment and its relationship with man}, volume = {665}, journal = {The science of the total environment : an international journal for scientific research into the environment and its relationship with man}, publisher = {Elsevier Science}, address = {Amsterdam}, issn = {0048-9697}, doi = {10.1016/j.scitotenv.2019.02.158}, pages = {968 -- 981}, year = {2019}, abstract = {Obtaining representative hydrometric values is essential for characterizing extreme events, hydrological dynamics and detecting possible changes on the long-term hydrology. Reliability of streamflow data requires a temporal continuity and a maintenance of the gauging stations, which data are affected by epistemic and random sources of error. An assessment of discharge meterings' and stage-discharge rating curves' uncertainties were carried out by comparing the accuracy of the measuring instruments of two different hydrometric networks (i.e., one analogical and one digital) established in the same river location at the Mediterranean island of Mallorca. Furthermore, the effects of such uncertainties were assessed on the hydrological dynamics, considering the significant global change impacts beset this island. Evaluation was developed at four representative gauging stations of the hydrographic network with analogic (≈40 years) and digital (≈10 years) data series. The study revealed that the largest source of uncertainty in the analogical (28 to 274\%) and in the digital (17-37\%) networks were the stage-discharge rating curves. Their impact on the water resources was also evaluated at the event and annual scales, resulting in an average difference of water yields of 183\% and 142\% respectively. Such improvement on the comprehension of hydrometric networks uncertainties will dramatically benefit the interpretation of the long-term streamflow by providing better insights into the hydrologic and flood hazard planning, management and modelling.}, language = {en} } @article{PenaAnguloNadalRomeroGonzalezHidalgoetal.2019, author = {Pena-Angulo, D. and Nadal-Romero, E. and Gonzalez-Hidalgo, J. C. and Albaladejo, J. and Andreu, V and Bagarello, V and Barhi, H. and Batalla, R. J. and Bernal, S. and Bienes, R. and Campo, J. and Campo-Bescos, M. A. and Canatario-Duarte, A. and Canton, Y. and Casali, J. and Castillo, V and Cerda, Artemi and Cheggour, A. and Cid, Patricio and Cortesi, N. and Desir, G. and Diaz-Pereira, E. and Espigares, T. and Estrany, Joan and Fernandez-Raga, M. and Ferreira, Carla S. S. and Ferro, Vito and Gallart, Francesc and Gimenez, R. and Gimeno, E. and Gomez, J. A. and Gomez-Gutierrez, A. and Gomez-Macpherson, H. and Gonzalez-Pelayo, O. and Hueso-Gonzalez, P. and Kairis, O. and Karatzas, G. P. and Klotz, S. and Kosmas, C. and Lana-Renault, Noemi and Lasanta, T. and Latron, J. and Lazaro, R. and Le Bissonnais, Y. and Le Bouteiller, C. and Licciardello, F. and Lopez-Tarazon, Jos{\´e} Andr{\´e}s and Lucia, A. and Marin, C. and Marques, M. J. and Martinez-Fernandez, J. and Martinez-Mena, M. and Martinez-Murillo, J. F. and Mateos, L. and Mathys, N. and Merino-Martin, L. and Moreno-de las Heras, M. and Moustakas, N. and Nicolau, J. M. and Novara, A. and Pampalone, V and Raclot, D. and Rodriguez-Blanco, M. L. and Rodrigo-Comino, Jes{\´u}s and Romero-Diaz, A. and Roose, E. and Rubio, J. L. and Ruiz-Sinoga, J. D. and Schnabel, S. and Senciales-Gonzalez, J. M. and Simonneaux, V and Sole-Benet, A. and Taguas, E. and Taboada-Castro, M. M. and Taboada-Castro, M. T. and Todisco, Francesca and Ubeda, X. and Varouchakis, E. A. and Vericat, Damia and Wittenberg, L. and Zabaleta, A. and Zorn, M.}, title = {Spatial variability of the relationships of runoff and sediment yield with weather types throughout the Mediterranean basin}, series = {Journal of hydrology}, volume = {571}, journal = {Journal of hydrology}, publisher = {Elsevier}, address = {Amsterdam}, issn = {0022-1694}, doi = {10.1016/j.jhydrol.2019.01.059}, pages = {390 -- 405}, year = {2019}, abstract = {Soil degradation by water is a serious environmental problem worldwide, with specific climatic factors being the major causes. We investigated the relationships between synoptic atmospheric patterns (i.e. weather types, WTs) and runoff, erosion and sediment yield throughout the Mediterranean basin by analyzing a large database of natural rainfall events at 68 research sites in 9 countries. Principal Component Analysis (PCA) was used to identify spatial relationships of the different WTs including three hydro-sedimentary variables: rainfall, runoff, and sediment yield (SY, used to refer to both soil erosion measured at plot scale and sediment yield registered at catchment scale). The results indicated 4 spatial classes of rainfall and runoff: (a) northern sites dependent on North (N) and North West (NW) flows; (b) eastern sites dependent on E and NE flows; (c) southern sites dependent on S and SE flows; and, finally, (d) western sites dependent on W and SW flows. Conversely, three spatial classes are identified for SY characterized by: (a) N and NE flows in northern sites (b) E flows in eastern sites, and (c) W and SW flows in western sites. Most of the rainfall, runoff and SY occurred during a small number of daily events, and just a few WTs accounted for large percentages of the total. Our results confirm that characterization by WT improves understanding of the general conditions under which runoff and SY occur, and provides useful information for understanding the spatial variability of runoff, and SY throughout the Mediterranean basin. The approach used here could be useful to aid of the design of regional water management and soil conservation measures.}, language = {en} }