High concentrations of metals in the waters from Araguari River lower section (Amazon biome): Relationship with land use and cover, ecotoxicological effects and risks to aquatic biota

Chemosphere ◽  
2021 ◽  
pp. 131451
Author(s):  
Lucilene Finoto Viana ◽  
Fábio Kummrow ◽  
Claudia Andrea Lima Cardoso ◽  
Nathalya Alice de Lima ◽  
Júlio César Jut Solórzano ◽  
...  
Keyword(s):  
Land Use ◽  
Aquatic Biota ◽  
Lower Section ◽  
Ecotoxicological Effects ◽  
High Concentrations ◽  
Land Use And Cover

Impacts of land use and cover type on runoff and soil erosion in a marginal area of Portugal

2011 ◽  
Vol 31 (2) ◽  
pp. 687-699 ◽  
Author(s):  
Adélia N. Nunes ◽  
António C. de Almeida ◽  
Celeste O.A. Coelho
Keyword(s):  
Land Use ◽  
Soil Erosion ◽  
Cover Type ◽  
Land Use And Cover

scholarly journals Identifying Spatiotemporal Patterns in Land Use and Cover Samples from Satellite Image Time Series

2021 ◽  
Vol 13 (5) ◽  
pp. 974
Author(s):  
Lorena Alves Santos ◽  
Karine Ferreira ◽  
Michelle Picoli ◽  
Gilberto Camara ◽  
Raul Zurita-Milla ◽  
...  
Keyword(s):  
Machine Learning ◽  
Land Use ◽  
Time Series ◽  
Satellite Image ◽  
Spatiotemporal Patterns ◽  
Supervised Machine Learning ◽  
Learning Methods ◽  
Self Organizing Maps ◽  
Machine Learning Methods ◽  
Land Use And Cover

The use of satellite image time series analysis and machine learning methods brings new opportunities and challenges for land use and cover changes (LUCC) mapping over large areas. One of these challenges is the need for samples that properly represent the high variability of land used and cover classes over large areas to train supervised machine learning methods and to produce accurate LUCC maps. This paper addresses this challenge and presents a method to identify spatiotemporal patterns in land use and cover samples to infer subclasses through the phenological and spectral information provided by satellite image time series. The proposed method uses self-organizing maps (SOMs) to reduce the data dimensionality creating primary clusters. From these primary clusters, it uses hierarchical clustering to create subclusters that recognize intra-class variability intrinsic to different regions and periods, mainly in large areas and multiple years. To show how the method works, we use MODIS image time series associated to samples of cropland and pasture classes over the Cerrado biome in Brazil. The results prove that the proposed method is suitable for identifying spatiotemporal patterns in land use and cover samples that can be used to infer subclasses, mainly for crop-types.

scholarly journals An Easy-to-Use Method for Assessing Nitrate Contamination Susceptibility in Groundwater

Geofluids ◽  
2018 ◽  
Vol 2018 ◽  
pp. 1-12 ◽  
Author(s):  
Daniela Ducci
Keyword(s):  
Land Use ◽  
Nitrate Contamination ◽  
Environmental Data ◽  
Susceptibility Map ◽  
Anthropogenic Pressure ◽  
Large Area ◽  
Combination Process ◽  
Arithmetic Average ◽  
Agricultural Potential ◽  
High Concentrations

This research presents a methodology for assessing nitrate contamination susceptibility in groundwater using thematic maps, derived mainly from the land use map and from statistical data available at national/regional institutes of statistics (especially demographic and environmental data). The methodology was applied in a large area of southern Italy encompassing 4 alluvial and volcanic groundwater bodies, with high concentrations of NO3. The Potential Nitrate Contamination is believed to derive from three sources: agricultural, urban, and periurban. The first one is related to the use of fertilizers. For this reason the land use map was reclassified on the basis of the crop requirements in terms of fertilizers to obtain the Agricultural Potential Nitrate Contamination (APNC) map. The urban source considers leakages from the sewage network and, consequently, it depends on the anthropogenic pressure, expressed by the population density, particularly concentrated in the urbanized areas (Urban Potential Nitrate Contamination (UPNC) map). The periurban sources include unsewered areas, especially present in the periurban context, where illegal sewage connections coexist with on-site sewage disposal (cesspools, septic tanks, and pit latrines) (Periurban Potential Nitrate Contamination (PuPNC) map). The Potential Nitrate Contamination (PNC) map is produced by overlaying the APNC, UPNC, and PuPNC maps. The map combination process is straightforward, being an algebraic combination: the output values are the arithmetic average of the input values. The final pollution susceptibility (RISK) map is obtained by combining the PNC map with the groundwater contamination vulnerability (GwVu) map. The methodology, successfully applied in the study area with a relatively good correlation between the nitrate contamination susceptibility map and the nitrate distribution in groundwater, appears to be effective and have a significant potential for being applied worldwide.

scholarly journals Temporal dynamics of land use and cover in Paurá Lagoon region, Middle Coast of Rio Grande do Sul (RS), Brazil

2018 ◽  
Vol 18 (1) ◽  
pp. 25-39
Author(s):  
Katia Helena Lipp-Nissinen ◽  
Bruna de Sá Piñeiro ◽  
Letícia Sebastião Miranda ◽  
Alexandre de Paula Alves
Keyword(s):  
Land Use ◽  
Temporal Dynamics ◽  
Rio Grande ◽  
Rio Grande Do Sul ◽  
Land Use And Cover

scholarly journals Utilização da Lógica Fuzzy como suporte ao Zoneamento Ambiental: um estudo de caso em Paracatu – MG

2021 ◽  
Vol 14 (4) ◽  
pp. 2352-2368
Author(s):  
Arthur Santos ◽  
Fernando Santil ◽  
Petrônio Oliveira ◽  
José Roveda
Keyword(s):  
Land Use ◽  
Environmental Planning ◽  
Open Pit ◽  
Drainage Network ◽  
Master Plan ◽  
Analytical Hierarchical Process ◽  
Urban Network ◽  
Planning Strategy ◽  
Land Use And Cover

The use of geotechnologies to map the levels of environmental fragility in a municipality is an important environmental planning strategy, especially when it is intended to make a conscious use of the area's natural resources through its zoning. Therefore, the objective of this research was to carry out, through the implementation of geotechnologies, a study of environmental fragility in a municipality occupied, intensively, by mining activities and agriculture. As a case study, the municipality of Paracatu - Minas Gerais was adopted. Pedological, lithological, hydrographic, hypsometric, declivity and land use and occupation aspects were raised, in addition to the drainage network, the municipal boundary and mining activity. Finally, using Fuzzy Logic with the use of weights defined by the Analytical Hierarchical Process (AHP) method, the maps of slope, land use and cover, lithology, pedology and drainage network were used to prepare a map of environmental fragility of the municipality. It was concluded that the municipality is susceptible to negative environmental impacts, mainly in its urban network and in the area of open-pit minning, and that these can be better evaluated through the use of geotechnologies aimming at subsidizing urban planning, which is extremely important for the municipality of Paracatu - MG, which is currently undergoing changes in its master plan and intends to expand.

scholarly journals Molecular effects of microcystin-LA toxicity in Tilapia (Oreochromis niloticus)

2016 ◽  
Author(s):  
Daniel A Moreira ◽  
Raquel Soares ◽  
Richard H Valente ◽  
Maria João A Bebianno ◽  
Mauro de Freitas Rebelo
Keyword(s):  
Oreochromis Niloticus ◽  
Biological Function ◽  
Feedback Mechanism ◽  
Protein Abundance ◽  
Aquatic Biota ◽  
Activity Inhibition ◽  
Abundance Profile ◽  
Molecular Effects ◽  
High Concentrations ◽  
Pp2a Inhibitor

A comprehensive understanding of microcystin (MC) effects and mode(s) of action(s) on aquatic biota has not been achieved yet. In the present study, Nile tilapia (Oreochromis niloticus) were sub-lethally exposed to the microcystin analogue MC-LA for 12, 24, 48 and 96 hours, and gene expression of PP1, PP2A, GST and actin were analyzed by quantitative PCR. Moreover, PP2A protein abundance profile was established by immunoblotting, while its biological function integrity was checked by a phosphatase enzymatic assay. PP2A activity was significantly reduced by MC-LA, indicating that MC acts as a PP2A inhibitor, similarly to what occurs in mammals. However, the positive (9.1-fold after 12h) feedback mechanism induced by PP2A gene, after exposure to sub-lethal MC-LA dose (1,000 µg.kg-1), did not counteract the complete PP2A catalytic activity inhibition that occurred concomitantly. A weaker inflammatory response in fish compared to mammals may be the reason why O. niloticus is able to tolerate such high concentrations of MC-LA when compared to mice.

scholarly journals Estimation of ecosystem services value based on land use and cover change information derived from remote sensing data

2020 ◽  
Vol 198 ◽  
pp. 04026
Author(s):  
Liyan Wang ◽  
Chao Chen ◽  
Kai Wang
Keyword(s):  
Remote Sensing ◽  
Land Use ◽  
Ecosystem Services ◽  
Quantitative Estimation ◽  
Research Area ◽  
Cultivated Land ◽  
Land Area ◽  
Construction Land ◽  
Ecosystem Services Value ◽  
Land Use And Cover

It is an effective method to study the value change of ecological services based on land use and cover change information. This paper analyzed the land use and cover change information in the research area, which is based on the remote sensing images and social statistics data of 2005, 2010, and 2015, and then, quantitative estimation of the ecosystem service value was performed. Yangtze-Huaihe river basin, China is a fragile ecological area, which is selected as the research area. During 2005-2015, the area of cultivated land and construction land was the main land use types in the study area, the land use and cover change in the study area were obvious, which was characterized by the increasing of construction land area and the decreasing of cultivated land area, and the total ecosystem services value in the research area has been decreasing continuously, the value from 34.376 billion yuan in 2005 to 26.161 billion yuan in 2015.

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