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Journal articles on the topic 'Identification de sources de chaleur'

Author: Grafiati

Published: 13 April 2024

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1

CORDOVA LLANOS, V., H. X. HUMBEL, J. BOISSON, R. PHILIPPE, and M. POMIES. "Identification des projets potentiels de valorisation de l’énergie thermique des eaux usées de l’Eurométropole de Strasbourg." Techniques Sciences Méthodes 11 (November 21, 2022): 63–70. http://dx.doi.org/10.36904/tsm/202211063.

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La récupération de chaleur des eaux usées peut fournir une source supplémentaire d’énergie renouvelable pour le chauffage et le refroidissement des bâtiments. La performance et la rentabilité des installations sont toutefois conditionnées par des paramètres propres à chaque projet. À l’aide d’une analyse multicritère, ces paramètres peuvent être évalués à une échelle territoriale afin d’identifier les projets qui présentent les meilleures conditions pour l’installation d’un système de récupération de chaleur. L’analyse multicritère appliquée à l’Eurométropole de Strasbourg (EMS) évalue trois types de critères au niveau du territoire : des critères d’inclusion, d’exclusion et de hiérarchisation. Les critères d’inclusion ont permis dans un premier temps d’identifier les projets potentiels de valoriser l’énergie des eaux usées de l’EMS. Ainsi 91 bâtiments publics ont été sélectionnés en fonction de leur consommation énergétique et de leur proximité d’une conduite exploitable. Les critères d’exclusion ont ensuite permis d’écarter 40 projets potentiels pour lesquels la récupération de la chaleur des eaux usées n’est pas envisageable à cause des contraintes liées à l’urbanisme du territoire ou à l’utilisation privilégiée d’autres sources d’énergies renouvelables, par exemple lorsqu’il existe déjà un réseau de chaleur. Finalement, les critères de hiérarchisation ont permis de classer les 51 projets restants en fonction des paramètres de contexte qui conditionnent la performance et la rentabilité des installations. Les canalisations d’eaux usées associées aux projets qui se trouvent en haut de cette classification présentent ainsi les caractéristiques suivantes : une puissance d’extraction importante, un niveau d’autocurage fort, et un taux d’eaux claires parasites (ECP) faible. De plus, le projet potentiel se trouve dans une zone où des projets de géothermie de minime importance (GMI) ne sont pas éligibles, la récupération de chaleur des eaux usées se propose donc comme une source d’énergie alternative. Cette analyse multicritère développée à échelle territoriale constitue ainsi un outil d’aide à la décision qui permettra à l’EMS d’orienter la sélection des projets à développer.

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2

Asserin, O., D. Ayrault, P. Gilles, S. Morville, E. Guyot, and J. Schroeder. "Contribution numérique pour l’optimisation d’un mode opératoire de soudage – Identification d’une source de chaleur équivalente." Matériaux & Techniques 102, no. 4 (2014): 409. http://dx.doi.org/10.1051/mattech/2014038.

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3

Nessab, Walid, Brahim Fersadou, and Henda Kahalerras. "Etude d’un jet de ferrofluide confiné en présence de deux sources magnétiques." MATEC Web of Conferences 261 (2019): 04002. http://dx.doi.org/10.1051/matecconf/201926104002.

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La présente étude est une analyse numérique du transfert de chaleur et de l’écoulement d’un jet de ferrofluide confiné dans un canal plan en présence de deux sources magnétiques. Le modèle de Buongiorno est utilisé pour décrire l’écoulement du ferrofluide avec la prise en compte de l’effet ferrohydrodynamique. Les équations gouvernantes avec les conditions aux limites associées sont résolues par la méthode des volumes finis. Les résultats révèlent une amélioration du transfert de chaleur avec l’augmentation du nombre magnétique (Mn) et la réduction du rapport d’ouverture (R).

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4

Brahim, Fersadou, Walid Nessab, and Henda Kahalerras. "Convection mixte MHD d’un nanofluide (eau-Cu) dans une cavité ouverte." MATEC Web of Conferences 261 (2019): 04001. http://dx.doi.org/10.1051/matecconf/201926104001.

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Dans la présente étude, le problème de la convection mixte MHD d’un nanofluide (eau - Cu) confiné dans une cavité ouverte munie de deux sources de chaleur est étudié numériquement. Le modèle de Buongiorno est utilisé pour décrire l’écoulement du nanofluide en tenant compte du mouvement Brownien et de l’effet thermophorèse. Les équations gouvernantes avec les conditions aux limites associées sont résolues par la méthode des volumes finis. Les résultats révèlent un transfert de chaleur accru avec l’augmentation du rapport d’ouverture (R) et du nombre de Hartmann (Ha).

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5

Hocine, Ali, Nacim Alilat, and Jean-Gabriel Bauzin. "Comportement thermique d'un disque tournant soumis à des sources de chaleur surfaciques discrètes." Comptes Rendus Mécanique 337, no. 8 (August 2009): 616–20. http://dx.doi.org/10.1016/j.crme.2009.06.031.

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6

Jaeger, Marc, Georges Berardi, and Ahmed Kaiss. "Identification du terme de production de chaleur dans des élastomères sollicités en cisaillement." International Journal of Thermal Sciences 38, no. 2 (February 1999): 132–41. http://dx.doi.org/10.1016/s1290-0729(99)80050-7.

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7

Uthe, J. F., and C. L. Chou. "Cadmium in Sea Scallop (Placopecten magellanicus) Tissues from Clean and Contaminated Areas." Canadian Journal of Fisheries and Aquatic Sciences 44, no. 1 (January 1, 1987): 91–98. http://dx.doi.org/10.1139/f87-011.

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Over 90% of the total cadmium in the soft tissues of sea scallops (Placopecten magellanicus) was in the digestive gland with less than 1% in the adductor muscle. The amount of cadmium in the digestive gland was significantly related to shell height. Shell height was superior to age as an independent (predictor) variable due to difficulties in ageing scallops. Based on these relationships, scallops of approximately 100 mm shell height were selected to study interregional differences. Neither cadmium concentration nor burden could be used to identify contaminated areas. The ratio of digestive gland cadmium to that in the adductor muscle was lowest for scallops from Chaleur Bay, which had received substantial anthropogenic cadmium input, and for scallops that had been starved for approximately 14 mo. We suggest that the high tissue cadmium levels in scallops from Georges Bank and Browns Bank are not due to contamination from anthropogenic or natural sources but rather reflect feeding and the nutritional inadequacy of the diets. Conversely, the high levels of cadmium input to Chaleur Bay were not reflected in high tissue concentrations or burdens in scallops.

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8

Ahlswede, R., B. Balkenhol, and C. Kleinewächter. "Identification for Sources." Electronic Notes in Discrete Mathematics 21 (August 2005): 115–18. http://dx.doi.org/10.1016/j.endm.2005.07.006.

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9

Badinier, Thibault, Iheb Ghandri, Théophile Grappe, Badr Ouzzine, and Jean de Sauvage. "Géostructures thermiques : verrous scientifiques et moyens d’étude." Revue Française de Géotechnique, no. 172 (2022): 1. http://dx.doi.org/10.1051/geotech/2022007.

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Alors que nous consommons toujours plus d’énergie pour le chauffage et la climatisation de nos lieux de vie, les impératifs de lutte contre le changement climatique et la croissance de la population urbaine mondiale rendent crucial le recours à des sources d’énergies renouvelables. Parmi elles, les géostructures thermiques associent au rôle mécanique pour lequel elles sont conçues un rôle énergétique en captant l’énergie du sol de faible profondeur à l’aide de tubes échangeurs de chaleur connectés à une pompe à chaleur. Elles apparaissent donc comme une solution décarbonée, non intermittente, locale, à faible risque pour l’homme, aisément intégrable dans le mix énergétique et au taux de retour sur investissement raisonnable. Pourtant, certaines questions quant à leur dimensionnement thermomécanique, notamment en présence d’un écoulement souterrain en freinent toujours le développement à large échelle. Après avoir dressé un état de l’art détaillé pour rappeler les points d’achoppement subsistant, un groupe de pieux géothermique au sein d’un écoulement est étudié sous l’angle de la modélisation numérique et de la modélisation physique centrifugée. Les différents outils à disposition de la communauté scientifique pour lever les verrous restant sont présentés.

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10

Pezerat, C., and J. L. Guyader. "Identification of vibration sources." Applied Acoustics 61, no. 3 (November 2000): 309–24. http://dx.doi.org/10.1016/s0003-682x(00)00036-0.

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11

Lindsay, Rod C. L., and Joanna D. Pozzulo. "Sources of Eyewitness Identification Error." International Journal of Law and Psychiatry 22, no. 3-4 (May 1999): 347–60. http://dx.doi.org/10.1016/s0160-2527(99)00014-x.

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12

Filippi, P. J. T., and J. Piraux. "Noise sources modeling and identification." Journal of Sound and Vibration 98, no. 4 (February 1985): 596–600. http://dx.doi.org/10.1016/0022-460x(85)90266-4.

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13

Bourdin, Sébastien, Ludovic Jeanne, and François Raulin. "La biomasse en Normandie, une ressource locale peu connue mais en plein essor !" Études Normandes 4, no. 1 (2017): 35–37. http://dx.doi.org/10.3406/etnor.2017.3619.

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Dans le mix énergétique, toutes les sources d’énergie renouvelables doivent être encouragées. La méthanisation est d’autant plus intéressante qu’elle permet à ses initiateurs une production d’électricité, de gaz ou de chaleur pour des usages locaux. Et pour les collectivités territoriales, les avantages de la méthanisation sont multiples : réalisation d’économies, création de nouvelles filières énergétiques durables et territorialisées, développement de l’emploi. En outre, il s’agit d’associer d’une manière efficace la recherche et l’innovation sociale en créant de la valeur ajoutée dans le respect de l’environnement. Créer une nouvelle source d’énergie en valorisant les déchets organiques, c’est surtout limiter la consommation d’énergies fossiles au profit d’une énergie de proximité, alternative et verte. La méthanisation, bien que peu connue encore aujourd’hui, se développe très rapidement en Normandie.

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14

Benradouane, Nor, and Boumediene Benyoucef. "Performances thermiques d’une maison solaire." Journal of Renewable Energies 9, no. 1 (April 30, 2006): 43–52. http://dx.doi.org/10.54966/jreen.v9i1.813.

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Compte tenu de l’épuisement des énergies utilisées actuellement, telles que les énergies fossiles, et du constat établi par les experts concernant les exigences écologiques, il est nécessaire de trouver des nouvelles sources d’énergies afin de préserver les ressources planétaires pour les générations futures. Dans le contexte actuel, l’énergie solaire est de loin la plus intéressante et la plus avantageuse. Notre objectif est de l’utiliser dans l’habitat. Ainsi notre travail consiste en une conception et adaptation d’une maison thermo - solaire, qui permet un stockage suffisamment important de la chaleur qui provient des rayons solaires, de façon à se passer des énergies d’appoint, en utilisant des dispositifs nécessaires pour une autonomie totale tel que le dimensionnement et l’orientation des murs, par rapport au soleil, les matériaux solaires utilisés et l’aspect architectural de la maison.

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15

Mattox, J. R., J. Schachter, L. Molnar, R. C. Hartman, and A. R. Patnaik. "The Identification of EGRET Sources with Flat‐Spectrum Radio Sources." Astrophysical Journal 481, no. 1 (May 20, 1997): 95–115. http://dx.doi.org/10.1086/304039.

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16

Mattox, J. R. "The Identification of EGRET Sources with Flat-Spectrum Radio Sources." International Astronomical Union Colloquium 164 (1998): 39–40. http://dx.doi.org/10.1017/s0252921100044420.

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AbstractWe provide a table of 42 blazars which we expect to be robust identifications of EGRET sources. The table includes the lensed source, PKS 1830–211 which we identify with a previously unidentified EGRET source.

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17

Budavári, Tamás, and Alexander S. Szalay. "Probabilistic Cross‐Identification of Astronomical Sources." Astrophysical Journal 679, no. 1 (May 20, 2008): 301–9. http://dx.doi.org/10.1086/587156.

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18

Mickaelian, A. M., L. R. Hovhannisyan, D. Engels, H. J. Hagen, and W. Voges. "Optical identification of ROSAT-FSC sources." Astronomy & Astrophysics 449, no. 1 (March 16, 2006): 425–33. http://dx.doi.org/10.1051/0004-6361:20053967.

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19

Y. Sato, K. Kawara, Y. Sofue, L.L. Cowie, D.B. Sanders, Y. Taniguchi, H. Matsuhara, and H. Okuda. "Identification of SCUBA Sources With ISOCAM." EAS Publications Series 4 (2002): 187. http://dx.doi.org/10.1051/eas:2002075.

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20

White, Robert E. "Identification of hazards with impulsive sources." International Journal of Computer Mathematics 88, no. 4 (March 2011): 762–80. http://dx.doi.org/10.1080/00207161003718682.

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21

Takahashi, Masanobu. "Recognition of Odors and Identification of Sources." American Journal of Psychology 116, no. 4 (2003): 527. http://dx.doi.org/10.2307/1423659.

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22

Herrick, Katy. "Sources: Radio Frequency Identification Handbook for Librarians." Reference & User Services Quarterly 47, no. 3 (March 1, 2008): 300. http://dx.doi.org/10.5860/rusq.47n3.300.

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23

Herrick, Katy. "Sources: Radio Frequency Identification Handbook for Librarians." Reference & User Services Quarterly 47, no. 4 (June 1, 2008): 405–6. http://dx.doi.org/10.5860/rusq.47n4.405.2.

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24

Miloshevska, Tanja. "Identification of Funding Sources of Islamic State." Годишен зборник на Филозофскиот факултет/The Annual of the Faculty of Philosophy in Skopje 70 (2017): 283–304. http://dx.doi.org/10.37510/godzbo1770283m.

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25

Graham, W. R. "Cross-Correlation-Based Identification of Rotating Sources." AIAA Journal 57, no. 8 (August 2019): 3456–66. http://dx.doi.org/10.2514/1.j058016.

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26

Gupta, Shruti, Anjali Narwal, and Anita Hooda. "Dental stem cells – Sources and identification methods." CHRISMED Journal of Health and Research 6, no. 1 (2019): 1. http://dx.doi.org/10.4103/cjhr.cjhr_110_18.

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27

Kim, Sam, Julie L. Wardlow, Asantha Cooray, S. Fleuren, W. Sutherland, A. A. Khostovan, R. Auld, et al. "SPITZER-IRAC IDENTIFICATION OFHERSCHEL-ATLAS SPIRE SOURCES." Astrophysical Journal 756, no. 1 (August 10, 2012): 28. http://dx.doi.org/10.1088/0004-637x/756/1/28.

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28

Sterba, Johannes H., Fabienne Eder, and Max Bichler. "Identification of Obsidian Sources on Milos, Greece." Bulletin of the Geological Society of Greece 53, no. 1 (October 15, 2018): 125. http://dx.doi.org/10.12681/bgsg.18559.

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Obsidian, a natural volcanic glass, was used extensively in ancient times because of its quality as a raw material for sharp blades. As such, obsidian is of high interest for provenancing studies, since reliable provenancing can provide information about trade routes, extension of territory, long-distance contacts and the mobility of prehistoric peoples. In general, well-established databases of the characteristic elemental composition, the chemical fingerprint, are needed for reliable provenancing. On Milos Island, two sources of raw obsidian, namely Agia Nychia (Cape Bombarda) and Demenegakion are known. Recent literature claims a third source close to Agios Ioannis. In a sampling expedition with the goal to complete the Atominstitut’s database on the chemical fingerprints of obsidian, samples at Agios Ioannis were collected to include this new source. At the location, 16 scattered samples were taken for analysis, even though no direct outcrop could be identified. On the nearby island Kimolos, several more samples were found. Using instrumental neutron activation analysis (INAA), the chemical fingerprint of the samples was measured and compared to the values in the database. All samples from Agios Ioannis were identified as either from Demenegakion or Agia Nychia, indicating that no further source of obsidian exists at the location.

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29

Grenier, Dominic, and Gilles Y. Delisle. "Super-resolutive technique for correlated sources identification." Canadian Journal of Electrical and Computer Engineering 14, no. 3 (1989): 82–88. http://dx.doi.org/10.1109/cjece.1989.6592948.

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30

Hrivnak, B. J., S. Kwok, and R. T. Boreiko. "Identification of IRAS OH/IR-like sources." Astrophysical Journal 294 (July 1985): L113. http://dx.doi.org/10.1086/184520.

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31

KONISHI, Takuya, Yasuhisa SEKIGUCHI, and Noritoshi NAKAGAWA. "Identification of sound sources by optimization technique." Proceedings of Conference of Kyushu Branch 2003 (2003): 29–30. http://dx.doi.org/10.1299/jsmekyushu.2003.29.

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32

Griesinger, C., S. Hoffmann, A. Kinsner, S. Coecke, and T. Hartung. "4.9 Current information sources for hazard identification." Human & Experimental Toxicology 28, no. 2-3 (February 2009): 149. http://dx.doi.org/10.1177/0960327109105776.

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33

Barker, J. P., and M. O. Abdelatti. "Anaesthetic pollutionPotential sources, their identification and control." Anaesthesia 52, no. 11 (November 1997): 1077–83. http://dx.doi.org/10.1111/j.1365-2044.1007.224-az0359.x.

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34

Gutiérrez, Carlos M., and Martín López-Corredoira. "Identification of Optical Counterparts of ULX sources." Proceedings of the International Astronomical Union 1, S230 (August 2005): 310–11. http://dx.doi.org/10.1017/s1743921306008556.

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35

Facklam, R., J. Elliott, N. Pigott, and A. R. Franklin. "Identification of Streptococcus porcinus from human sources." Journal of clinical microbiology 33, no. 2 (1995): 385–88. http://dx.doi.org/10.1128/jcm.33.2.385-388.1995.

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36

Kunovich, Robert M. "The Sources and Consequences of National Identification." American Sociological Review 74, no. 4 (August 2009): 573–93. http://dx.doi.org/10.1177/000312240907400404.

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This article examines national identification from a comparative and multilevel perspective. Building on the identity, nationalism, and prejudice literatures, I analyze relationships between societies' economic, political, and cultural characteristics (e.g., development, globalization, democratic governance, militarism, and religious and linguistic diversity), individual characteristics (e.g., socioeconomic status and minority status), and preferences for the content of national identities. I also examine relationships between national identity content and public policy preferences toward immigration, citizenship, assimilation, and foreign policy, generally. I use confirmatory factor analysis and multilevel modeling to analyze country-level data and survey data from 31 countries (from the International Social Survey Program's 2003 National Identity II Module). Results suggest that individual and country characteristics help account for the variable and contested nature of national identification. Moreover, the content of national identity categories has implications for public policy and intergroup relations.

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37

Kasoulides, George C. "Identification of the sources of discharged pollutants." Marine Pollution Bulletin 19, no. 7 (July 1988): 307–10. http://dx.doi.org/10.1016/0025-326x(88)90423-7.

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38

Sato, Y., L. L. Cowie, K. Kawara, Yoshiaki Taniguchi, Y. Sofue, H. Matsuhara, and H. Okuda. "Mid-Infrared Identification of Faint Submillimeter Sources." Astrophysical Journal 578, no. 1 (October 10, 2002): L23—L26. http://dx.doi.org/10.1086/344561.

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39

Pizzichini, Graziella, and M. Rosaria Cristallo. "Identification of X and Gamma-Ray sources." Advances in Space Research 11, no. 8 (January 1991): 49–53. http://dx.doi.org/10.1016/0273-1177(91)90149-e.

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40

Ogusuku, E., J. E. Perez, L. Paz, E. Nieto, J. Monje, and H. Guerra. "Identification of bloodmeal sources ofLutzomyiaspp. in Peru." Annals of Tropical Medicine & Parasitology 88, no. 3 (January 1994): 329–35. http://dx.doi.org/10.1080/00034983.1994.11812873.

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41

Martin, Vincent, and Frédéric Cohen-Tenoudji. "Identification of acoustic sources with uncertain data." Journal of the Acoustical Society of America 133, no. 5 (May 2013): 3576. http://dx.doi.org/10.1121/1.4806568.

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42

Amewoui, F., G. Le Coz, A. S. Bonnet, and A. Moufki. "Bone drilling: an identification of heat sources." Computer Methods in Biomechanics and Biomedical Engineering 23, sup1 (October 19, 2020): S10—S11. http://dx.doi.org/10.1080/10255842.2020.1813418.

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43

KACHIASHVILI, K. J., and D. I. MELIKDZHANIAN. "IDENTIFICATION OF RIVER WATER EXCESSIVE POLLUTION SOURCES." International Journal of Information Technology & Decision Making 05, no. 02 (June 2006): 397–417. http://dx.doi.org/10.1142/s0219622006001988.

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The program package for identification of river water excessive pollution sources located between two controlled cross-sections of the river is described in this paper. The software has been developed by the authors on the basis of mathematical models of pollutant transport in the rivers and statistical hypotheses checking methods. The identification algorithms were elaborated with the supposition that the pollution sources discharge different compositions of pollutants or (at the identical composition) different proportions of pollutants into the rivers.

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44

Bissias, George, Brian Neil Levine, Marc Liberatore, and Swagatika Prusty. "Forensic Identification of Anonymous Sources in OneSwarm." IEEE Transactions on Dependable and Secure Computing 14, no. 6 (November 1, 2017): 620–32. http://dx.doi.org/10.1109/tdsc.2015.2497706.

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45

You, Chenglong, Mario A. Quiroz-Juárez, Aidan Lambert, Narayan Bhusal, Chao Dong, Armando Perez-Leija, Amir Javaid, Roberto de J. León-Montiel, and Omar S. Magaña-Loaiza. "Identification of light sources using machine learning." Applied Physics Reviews 7, no. 2 (June 2020): 021404. http://dx.doi.org/10.1063/1.5133846.

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46

Yang, Dongfang, Haixia Li, Jun Ding, Longlei Zhang, and Jiangmin Li. "Identification of Cu’s sources in Jiaozhou Bay." IOP Conference Series: Earth and Environmental Science 100 (December 2017): 012010. http://dx.doi.org/10.1088/1755-1315/100/1/012010.

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47

ZELENKO, DMITRY, and OLEG SEMIN. "AUTOMATIC COMPETITOR IDENTIFICATION FROM PUBLIC INFORMATION SOURCES." International Journal of Computational Intelligence and Applications 02, no. 03 (September 2002): 287–94. http://dx.doi.org/10.1142/s1469026802000622.

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We present an automatic system that discovers competing companies from public information sources. The system extracts data from text, uses transformation-based learning to obtain appropriate data normalization, combines structured and unstructured information sources, uses probabilistic modelling to represent models of linked data, and succeeds in autonomously discovering competitors. We also introduce the iterative graph reconstruction process for inference in relational data, and show that it leads to improvements in performance. We validate system results and deploy it on the web as a powerful analytic tool for individual and institutional investors.

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48

Bach, H. J., and J. C. Munch. "Identification of bacterial sources of soil peptidases." Biology and Fertility of Soils 31, no. 3-4 (June 5, 2000): 219–24. http://dx.doi.org/10.1007/s003740050648.

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49

Benoit, J., P. Bonnet, C. Chauvière, and S. Girard. "Time-dependent sources identification for transmission lines problems." Advanced Electromagnetics 4, no. 2 (October 19, 2015): 9. http://dx.doi.org/10.7716/aem.v4i2.280.

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This paper is devoted to introduce an extension to the Linear Combination of Configuration Fields (LCCF). This new numerical method was designed to compute the time profile of an electromagnetic source radiating a specified electromagnetic field in all or part of the computational domain, for a specified duration. Here, we extend this idea within the framework of a transmission lines network. The principle of the method is first validated numerically. Then we prospect the same ideas in a real-data experiment which shows that the method is ready for real-life investigations.

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Dachev, D., and S. Zlatanova. "Pollution sources identification in the “land-sea” system." Water Science and Technology 46, no. 8 (October 1, 2002): 53–58. http://dx.doi.org/10.2166/wst.2002.0144.

Full text

Abstract:

It is our opinon that the new scientific thinking and education in the 21st century will increase the significance of the multidisciplinary nature knowledge. The nature of the marine sediments as well as the biochemical features of the littoral organisms appear to be in close relation to the geochemical impact of the coastal onshore. The biogeochemical analysis of the terrestrial and marine biocenosis is still fragmental, without balance between the casual and sequential relationships. Along the Bulgarian Black Sea coast the latter necessitates the geological pattern clarification of the areas south of Bourgas. Even a superficial overview of the geological features of the region highlights the impact of the geochemical anomalies related to Rosen and Zidarovo volcanic apparatuses and intrusions, other ore deposits south and south-west as well. However, the intensive anthropogenic impact on the geochemical haloes should be pointed out in the complex of ecological damage to the coast. Through complementary geoecological studies a significant updating of the knowledge is suggested. The geoecological mapping is needed to present the ratio of the lands saturated with geonoxes, and anthropogenically polluted ones. The new methodology recommended was applied to make the distinction of such lands in the regions of Pirdop and Kardjali. Another key element appears to be the ecologicalÐeconomic characteristics in the offshore-onshore balance. The marine resources will be studied in the alternative context: benefit-damage from the onshore polluters, and the biogeochemical characteristics of the littoral zone. The coastal areas environmental status should make a distinction between the environmentally undamaged, environmentally damaged by nature, anthropogenically damaged and complex damaged lands. Each ecological study or analysis presenting the ecological condition of the environment in a status quo (at a certain moment and at a certain location) is described in this work as a Status Geoecological System. For environmental management and protection of the Black Sea we refer to an indispensable Data File representing the Dynamic Geoecological System.

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