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17391 - 17400 von 17881

	17391	THE URBAN HEAT ISLAND OF PORTO ALEGRE, RS, SOUTHERN BRAZIL: AN ANALYSIS BETWEEN 1985 AND 2019 THROUGH THE RADIATIVE TRANSFER IN THE INFRARED THERMAL Enthalten in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences Bd. XLII-3/W12-2020, 2020: 315-319
	17392	The Urban Pressure Over the Sediment Contamination in a Southern Brazil Metropolis: the Case of Diluvio Stream Enthalten in Water, air & soil pollution Bd. 231, 26.3.2020, Nr. 4, date:4.2020: 1-15
	17393	The use of biomarkers to assess the health of aquatic ecosystems in Brazil: a review Enthalten in International aquatic research Bd. 8, 3.11.2016, Nr. 4, date:12.2016: 283-298
	17394	The use of DPSIR framework to evaluate sustainability in coastal areas. Case study: Guanabara Bay basin, Rio de Janeiro, Brazil Enthalten in Regional environmental change Bd. 4, 21.10.2003, Nr. 1, date:3.2004: 5-16
	17395	The Use of Fire in the Cerrado and Amazonian Rainforests of Brazil: Past and Present Enthalten in Fire ecology Bd. 7, 1.4.2011, Nr. 1, date:4.2011: 24-39
	17396	The use of geoprocessing to assess vulnerability on the east coast aquifers of Rio de Janeiro State, Brazil Enthalten in Environmental geology Bd. 57, 6.5.2008, Nr. 3, date:4.2009: 665-674
	17397	The use of integrative tools and multiple models for aquatic environmental quality assessment: a case study of the Mirim Lagoon, Southern Brazil Enthalten in Environmental monitoring and assessment Bd. 196, 25.1.2024, Nr. 2, date:2.2024: 1-22
	17398	The use of MPB70-ELISA for the diagnosis of caprine tuberculosis in Brazil Enthalten in Veterinary research communications Bd. 33, 18.8.2009, Nr. 8, date:12.2009: 937-943
	17399	The use of multivariate statistical methods for optimization of the surface water quality network monitoring in the Paraopeba river basin, Brazil Enthalten in Environmental monitoring and assessment Bd. 190, 28.7.2018, Nr. 8, date:8.2018: 1-17
	17400	The Use of Pesticides and Health Risk Assessment of Riparian Farmers in Northeastern Brazil: An Artificial Intelligence-based Analysis Enthalten in Human ecology Bd. 53, 24.3.2025, Nr. 1, date:2.2025: 113-126

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