First sampling of microplastics in streams and rivers of peninsular Spain

Ecosistemas ◽  
2020 ◽  
Vol 29 (3) ◽  
Author(s):  
David León Muez ◽  
Patricio Peñalver-Duque ◽  
Carlos Ciudad ◽  
Miguel Muñóz ◽  
Octavio Infante ◽  
...  
Keyword(s):  
Streams And Rivers ◽  
Peninsular Spain

Durante 2019 y 2020 se llevó a cabo una campaña de muestreo para la identificación de microplásticos en 157 arroyos y ríos de la España peninsular. El muestreo se realizó aplicando una metodología desarrollada por HyT (Asociación Hombre y Territorio) en el marco del Proyecto LIBERA y, en concurrencia con una campaña de análisis de contaminantes en IBA (Áreas Importantes para la Conservación de las Aves y la Biodiversidad) llevada a cabo por SEO/BirdLife. Las muestras fueron procesadas inicialmente para la detección de microplásticos bajo lupa y posteriormente fueron sometidas a análisis de espectroscopía infrarroja FTIR (Espectrofotómetro de transformada de Fourier) por el Servicio de Microanálisis de la Universidad de Sevilla. Los resultados de este muestreo, el primero de estas características que se realiza en España para la detección de estos contaminantes, reflejan que más de un 70% de las muestras tienen presencia de microplásticos, con una mayor presencia de fibras, fragmentos y films. Entre las muestras analizadas con FTIR se han identificado un total de 33 polímeros diferentes. El trabajo ofrece, por tanto, datos relevantes acerca de este problema en ríos y arroyos de España.

Ecology of Arctic Streams and Rivers

2020 ◽  
pp. 181-218
Author(s):  
Alexander D. Huryn
Keyword(s):  
Streams And Rivers ◽  
Arctic Streams

scholarly journals Rhabditid species (Nematoda, Rhabditida) recorded in peninsular Spain and Balearic Islands

Graellsia ◽  
2001 ◽  
Vol 57 (1) ◽  
pp. 113-131 ◽  
Author(s):  
Reyes Peña-Santiago ◽  
Joaquín Abolafia
Keyword(s):  
Balearic Islands ◽  
Peninsular Spain

scholarly journals Didymosphenia geminata: Algal blooms in oligotrophic streams and rivers

2011 ◽  
Vol 38 (10) ◽  
pp. n/a-n/a ◽  
Author(s):  
P. V. Sundareshwar ◽  
S. Upadhayay ◽  
M. Abessa ◽  
S. Honomichl ◽  
B. Berdanier ◽  
...  
Keyword(s):  
Algal Blooms ◽  
Didymosphenia Geminata ◽  
Streams And Rivers

Utilization of Vinasse Effluents from an Anaerobic Reactor

1986 ◽  
Vol 18 (12) ◽  
pp. 135-141 ◽  
Author(s):  
F J. C. B. Costa ◽  
B B. M. Rocha ◽  
C. E. Viana ◽  
A. C. Toledo
Keyword(s):  
Post Treatment ◽  
Organic Load ◽  
Secondary Treatment ◽  
Fish Food ◽  
Anaerobic Reactor ◽  
Streams And Rivers ◽  
Alcohol Industry ◽  
Treated Effluent ◽  
Very High

An anaerobic reactor was developed to biodigest alcohol distillery wastes. A further post-treatment of the effluent reduced the level of pollution to the point of eventually discharging into streams and rivers. The present work also analyses the use of biodigested vinasse as a source of food for fish. Very high efficiencies were obtained during primary and secondary treatment of vinasse effluent, as demonstrated by the greatly reduced organic load. The utilization of the treated effluent as a source of fish food presents an excellent alternative for the Brazilian alcohol industry.

Effects of air quality on the health of Mediterranean forests

2021 ◽  
Author(s):  
Adrián García Bruzón ◽  
Patricia Arrogante Funes ◽  
Laura Muñoz Moral
Keyword(s):  
Climate Change ◽  
Machine Learning ◽  
Random Forest ◽  
Aridity Index ◽  
Plant Health ◽  
Mediterranean Forests ◽  
Random Forest Algorithm ◽  
The Mediterranean ◽  
Heterogeneous Variables ◽  
Peninsular Spain

<p>The climate change has turned out to be a determining factor in the development of forest in Spain. Production systems have emitted polluting gases and other particles into the atmosphere, for which some plants have not yet developed adaptation systems. Among the most harmful pollutants for the environment are gases such as nitrous oxides, ozone, particulate matter.</p><p>However, this condition is not the same in Peninsular Spain, and the Balearic Islands since the plant compositions differ in the territory and the bioclimatic, topographic, and anthropic characteristics. Monitoring the vegetation with sufficient spatial and temporal resolution, studying variables conditioning plant health is a challenge from the nature of the variables and the amount of data to be handled. </p><p>The Mediterranean forest is one of the most ecosystem affected by climate change because of usually experimented long periods of drought that, in combination with increased temperatures, can drastically reduce the photosynthetic activity of trees and therefore the biomass of forests.</p><p>That is why the application of environmental technologies based on Remote Sensing (which provide plant health indices from passive sensors on satellite platforms and other variables of interest), Geographic Information Systems (to integrate, process, analyze spatial and temporal data) and machine learning models (which facilitate the extraction of relationships between variables, conditioning factors and predict patterns). </p><p>In this regard, this work's objective is to evaluate the possible effect that different pollutants have on the health of the vegetation, measured from the annual values of the Normalized Difference Vegetation Index (NDVI), in the Mediterranean forests of Peninsular Spain. To achieve this, we are used machine learning techniques using the Random Forest algorithm. The study has also been done with various climatic, topographic, and anthropic variables that characterize the forest to carry it out. </p><p>The results showed that certain variables such as the aridity index had generated the NDVI values and therefore plant development, while others are limiting factors such as the concentration of certain pollutants and the direct relationship between them particulates and NOx. This study can verify how the Random Forest algorithm offers reliable results, even when working with heterogeneous variables. </p>

scholarly journals Calibration of a transient transport model to tritium data in streams and simulation of groundwater ages in the western Lake Taupo catchment, New Zealand

2013 ◽  
Vol 17 (3) ◽  
pp. 1217-1227 ◽  
Author(s):  
M. A. Gusyev ◽  
M. Toews ◽  
U. Morgenstern ◽  
M. Stewart ◽  
P. White ◽  
...  
Keyword(s):  
New Zealand ◽  
Transport Model ◽  
Groundwater Age ◽  
Uniform Grid ◽  
Groundwater System ◽  
Small Surface ◽  
Streams And Rivers ◽  
Groundwater Levels ◽  
Transient Transport ◽  
Western Lake

Abstract. Here we present a general approach of calibrating transient transport models to tritium concentrations in river waters developed for the MT3DMS/MODFLOW model of the western Lake Taupo catchment, New Zealand. Tritium has a known pulse-shaped input to groundwater systems due to the bomb tritium in the early 1960s and, with its radioactive half-life of 12.32 yr, allows for the determination of the groundwater age. In the transport model, the tritium input (measured in rainfall) passes through the groundwater system, and the simulated tritium concentrations are matched to the measured tritium concentrations in the river and stream outlets for the Waihaha, Whanganui, Whareroa, Kuratau and Omori catchments from 2000–2007. For the Kuratau River, tritium was also measured between 1960 and 1970, which allowed us to fine-tune the transport model for the simulated bomb-peak tritium concentrations. In order to incorporate small surface water features in detail, an 80 m uniform grid cell size was selected in the steady-state MODFLOW model for the model area of 1072 km2. The groundwater flow model was first calibrated to groundwater levels and stream baseflow observations. Then, the transient tritium transport MT3DMS model was matched to the measured tritium concentrations in streams and rivers, which are the natural discharge of the groundwater system. The tritium concentrations in the rivers and streams correspond to the residence time of the water in the groundwater system (groundwater age) and mixing of water with different age. The transport model output showed a good agreement with the measured tritium values. Finally, the tritium-calibrated MT3DMS model is applied to simulate groundwater ages, which are used to obtain groundwater age distributions with mean residence times (MRTs) in streams and rivers for the five catchments. The effect of regional and local hydrogeology on the simulated groundwater ages is investigated by demonstrating groundwater ages at five model cross-sections to better understand MRTs simulated with tritium-calibrated MT3DMS and lumped parameter models.

scholarly journals A synoptic survey of microbial respiration, organic matter decomposition, and carbon efflux in U.S. streams and rivers

2017 ◽  
Vol 62 (S1) ◽  
pp. S147-S159 ◽  
Author(s):  
Brian H. Hill ◽  
Colleen M. Elonen ◽  
Alan T. Herlihy ◽  
Terri M. Jicha ◽  
Richard M. Mitchell
Keyword(s):  
Organic Matter ◽  
Microbial Respiration ◽  
Organic Matter Decomposition ◽  
Streams And Rivers
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