I.-SITUACIÓN La villa se encuentra situada a menos de 1 km al norte de Talavera la Nueva (Toledo), junto al arroyo Baladíes o Albaladiel, dentro del municipio y comarca de Talavera de la Reina. Las coordenadas U.T.M. que localizan el yacimiento son 338750 E y 4423450 N y aparecen en la hoja 626, Calera y Chozas, del Mapa Topográfico Nacional a escala 1:50.000. El enclave del yacimiento apenas rebasa los 360 m de altitud, con escaso resalte orográfico en el entorno, en plena llanura aluvial de la margen derecha del río Tajo y a 3 km. escasos de distancia del curso actual. (Fig. 1.1 y 1.2) II.-LOS MÁRMOLES DE EL SAUCEDO. PLACAS PARA REVESTIMIENTO PARIETAL Y/O PAVIMENTAL. PIEZAS ESCULTORICAS. II.1.-Placas marmóreas para revestimientos parietales y pavimentales. El revestimiento de las superficies parietales o pavimentales con placas de mármol u otros materiales lapídeos cortados en formas geométricas, vegetales e incluso figuradas, y ensambladas para obtener composiciones ornamentales, fue el tipo de recubrimiento más costoso y apreciado en época romana y, por tanto, menos habitual

On-site and Earth observation (EO) data are used for the calibration of the Natural Resources Conservation Service-Curve Number (NRCS-CN) value in a hydrological simulation model. The model was developed for La Muga catchment (Eastern Pyrenees) highly vulnerable to flood and drought episodes. It is an integral part of a regional reservoir management tool, which aims at minimizing the flood risk, while maximizing the preservation of water storage. The CN values were optimized for five recorded events for the model to match the observed hydrographs at the reservoir, when supported with the measured rainfall intensities. This study also investigates the possibilities of using antecedent moisture conditions (AMC) retrieved from satellite data to inform the selection of the NRCS-CN losses parameter. A good correlation was found between the calibrated CN values and the AMC obtained from satellite data. This correlation highlights the interest in using EO data to update NRCS-CN estimates. This advances in hydrologic-hydraulic coupled modelling combined with new remote sensing datasets present valuable opportunities and potential benefits for flood risk management and water resources preservation.

Reliable prediction of time-varying pollutant loads in combined sewer systems during storm periods can aid better management of the release of pollution into natural environments as well as enhancing storage tank design. Better understanding of the behaviour of sewer sediments is crucial for the development of models that adequately describe the transport of in-sewer solids and accurately predict the changes in pollutant concentration within combined sewers during storm events. This paper reports on the results of a test programme to examine the erosion of highly organic sewer sediment under the application of time-varying shear stress. The tests were carried out with and without supplying oxygen, and varying simulated dry-weather periods. The aim was to investigate the behaviour of real in-sewer sediment with a high organic content (around 80%) in an attempt to improve prediction of the transport rates under the particular Mediterranean conditions of long dry-period/build-up and intense rainfall/wash-off, and understand how this environment affects the erosional resistance and subsequent sediment release. Results have been compared with previous work on lower organic content sewer sediments and artificial organic sediment.

Accurate predictions of sediment loads released by sewer overflow discharges are important for being able to provide protection to 7 vulnerable receiving waters. These predictions are sensitive to the estimated sediment characteristics and on the site conditions of in-pipe 8 deposit formation. Their application without a detailed analysis and understanding of the initial conditions under which in-sewer deposits 9were formed normally results in very poor estimations. In this study, in-sewer sediment samples deposited during dry periods in a combined 10 sewer system were collected, and their properties assessed. Parameters in a sediment transport relationship for in-pipe deposits were estimated 11 by simulating the in-pipe deposit formation conditions in laboratory erosion tests. The measured parameters were then used to simulate 12 sediment transport through a small combined sewer network for a number of rain events for which rainfall, hydraulic, and water quality 13 data were available. Results showed that the model of Skipworth can provide good predictions of the sediment loads released from such 14 in-sewer deposits. The experimentally derived calibration parameters used with Skipworth's model allowed for a realistic simulation of the 15 in-sewer sediment behavior, and so can be used to accurately estimate the sediment load released from combined sewer systems during 16 rainfall events.