Gå til innhold
  • Send

  • Kategori

  • Sorter etter

  • Antall per side

Fant 9759 publikasjoner. Viser side 185 av 391:

Publikasjon  
År  
Kategori

Mapping socioeconomic exposure to climate change-related events - coastal floods in Norway

Barre, Francis Isidore; Bouman, Evert Alwin; Hertwich, Edgar; Moran, Daniel Dean

2024

Mapping selected organic contaminants in the Barents Sea 2007. NIVA-rapport, 5589-2008

Bakke, T.; Boitsov, S.; Breivik, E.M.; Gabrielsen, G.W.; Green, N.; Halgason, L.B.; Klungsøyr, J.; Laknes, H.; Miljeteig, C.; Måge, A.; Rolfsnes, B.E.; Savinova, T.; Schlabach, M.; Skaare, B.B.; Valdersnes, S.

2008

Mapping potential conflicts between global agriculture and terrestrial conservation

Hoang, Nguyen Tien; Taherzadeh, Oliver; Ohashi, Haruka; Yonekura, Yusuke; Nishijima, Shota; Yamabe, Masaki; Matsui, Testuya; Matsuda, Hiroyuki; Moran, Daniel Dean; Kanemoto, Keiichiro

Demand for food products, often from international trade, has brought agricultural land use into direct competition with biodiversity. Where these potential conflicts occur and which consumers are responsible is poorly understood. By combining conservation priority (CP) maps with agricultural trade data, we estimate current potential conservation risk hotspots driven by 197 countries across 48 agricultural products. Globally, a third of agricultural production occurs in sites of high CP (CP > 0.75, max = 1.0). While cattle, maize, rice, and soybean pose the greatest threat to very high-CP sites, other low-conservation risk products (e.g., sugar beet, pearl millet, and sunflower) currently are less likely to be grown in sites of agriculture–conservation conflict. Our analysis suggests that a commodity can cause dissimilar conservation threats in different production regions. Accordingly, some of the conservation risks posed by different countries depend on their demand and sourcing patterns of agricultural commodities. Our spatial analyses identify potential hotspots of competition between agriculture and high-conservation value sites (i.e., 0.5° resolution, or ~367 to 3,077km2, grid cells containing both agriculture and high-biodiversity priority habitat), thereby providing additional information that could help prioritize conservation activities and safeguard biodiversity in individual countries and globally. A web-based GIS tool at https://agriculture.spatialfootprint.com/biodiversity/ systematically visualizes the results of our analyses.

2023

Mapping Plastic and Plastic Additive Cycles in Coastal Countries: A Norwegian Case Study

Marhoon, Ahmed Mohamed Jaffar Marhoon A; Las Heras Hernandez, Miguel; Billy, Romain Guillaume; Mueller, Daniel Beat; Verones, Francesca

The growing environmental consequences caused by plastic pollution highlight the need for a better understanding of plastic polymer cycles and their associated additives. We present a novel, comprehensive top-down method using inflow-driven dynamic probabilistic material flow analysis (DPMFA) to map the plastic cycle in coastal countries. For the first time, we covered the progressive leaching of microplastics to the environment during the use phase of products and modeled the presence of 232 plastic additives. We applied this methodology to Norway and proposed initial release pathways to different environmental compartments. 758 kt of plastics distributed among 13 different polymers was introduced to the Norwegian economy in 2020, 4.4 Mt was present in in-use stocks, and 632 kt was wasted, of which 15.2 kt (2.4%) was released to the environment with a similar share of macro- and microplastics and 4.8 kt ended up in the ocean. Our study shows tire wear rubber as a highly pollutive microplastic source, while most macroplastics originated from consumer packaging with LDPE, PP, and PET as dominant polymers. Additionally, 75 kt of plastic additives was potentially released to the environment alongside these polymers. We emphasize that upstream measures, such as consumption reduction and changes in product design, would result in the most positive impact for limiting plastic pollution.

2024

Mapping of ecosystem services flow in Mida Creek, Kenya.

Owuor, M. A.; Icely, J.; Newton, A.; Nyunja, J.; Otieno, P.; Tuda, A. O.; Oduor, N.

2017

Mapping global flying aircraft activities using Landsat 8 and cloud computing

Zhao, Fen; Xia, Lang; Kylling, Arve; Shang, Hua; Yang, Peng

Elsevier

2022

Mapping BaP concentrations and exposure in Europe combining measurement and CTM data.

Guerreiro, C.; Horalek, J.; de Leeuw, F.; Couvidat, F.

2015

Mapping BaP concentrations and estimation of population exposure and health impacts.

Guerreiro, C.; de Leeuw, F.; Horálek, J.; Couvidat, F.

2015

Mapping annual mean PM2.5 concentrations in Europe: application of pseudo PM2.5 station data. ETC/ACM Technical Paper, 2011/5

Denby, B.; Horálek, J.; de Smet, P.; de Leeuw, F.

2011

Mapping and Visualizing Air Quality

Hassani, Amirhossein; Schneider, Philipp

2023

Mapping and trends of acid deposition effects on materials in Scandinavia.

Tidblad, J.; Kucera, V.; Henriksen, J.F.; Kaunisto, T.

2004

Mapping and the citizen sensor.

Foody, G.; Fritz, S.; Fonte, C. C.; Bastin, L.; Olteanu-Raimond, A.-M.; Mooney, P.; See, L.; Antoniou, V.; Liu, H.-Y.; Minghini, M.; Vatseva, R.

2017

Mapping air pollution effects on materials including stock at risk in Guangzhou, China. Bulletin 108E

Henriksen, J.F.; Kai, T.; Liangwan, H.; Krigsvoll, G.

2001

Mapping 1995 global anthropogenic emissions of mercury.

Pacyna, J.M.; Pacyna, E.G.; Steenhuisen, F.; Wilson, S.

2003

MAPK pathways activation induced by nanosilver and TiO2: Role of Ros. NILU PP

Rinna, A.; Magdolenova, Z. Fjellsbø, L.; Dusinska, M.

2010

Manuel Qualité. Centre de Gastion de la Qualtité de l'Air de Dakar. NILU OR

Dauge, F.R.; Marsteen, L.; Guerreiro, C.B.

This report presents all relevant topics to be known and quality requirements to be fulfilled in order to successfully manage an air quality measurement network and its references laboratory.
It encompasses all aspects of quality control and provides a full documentation system as well as methods to achieve the generation of quality data.
It gathers detailed standard operational procedures together with relevant reporting documents aimed at ensuring a long term satisfying performance of the network instruments installed in Dakar.

2010

Mannen som avslørte ski-jukset: - Kan ikke forsvare å kjøpe egen testmaskin til Norge

Schlabach, Martin (intervjuobjekt); Strøm, Ole Kristian (journalist)

2019

2004

Publikasjon
År
Kategori