Receptor modeling for air quality management:
Gespeichert in:
Format: | Elektronisch E-Book |
---|---|
Sprache: | English |
Veröffentlicht: |
Amsterdam
Elsevier
1991
|
Schriftenreihe: | Data handling in science and technology
v. 7 |
Schlagworte: | |
Online-Zugang: | Volltext |
Beschreibung: | Includes bibliographical references and index This book presents the background and application of receptor models for the source identification and quantitative mass apportionment of airborne pollutants. Over the past decade, receptor models have become an accepted part of the process for developing effective and efficient air quality management plans. Information is provided on the ambient and source sampling and chemical analysis needed to provide the input data for receptor models. Commonly used models are described with examples so that the air quality specialist can see how these models are applied. Recent advances in several areas of the field are presented as well as the perspective of both U.S. Federal and State level air quality managers on how these models fit into the development of a management plan. The aim of the book is to provide a practical guide to persons who may be given the task of implementing receptor modeling as a part of some air quality management problem. The intention of all the chapter authors is to furnish both the basic information needed to begin doing receptor modeling as well as some insight into some of the problems related to the use of these models. These tools like any others used in solving complex technological problems are not a panacea, but do represent powerful aids in data analysis that can lead to insights as to how an airshed functions and thus, to effective and efficient air quality management strategies |
Beschreibung: | 1 Online-Ressource (xi, 329 p.) |
ISBN: | 9780444882189 0444882189 |
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245 | 1 | 0 | |a Receptor modeling for air quality management |c edited by Philip K. Hopke |
264 | 1 | |a Amsterdam |b Elsevier |c 1991 | |
300 | |a 1 Online-Ressource (xi, 329 p.) | ||
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490 | 0 | |a Data handling in science and technology |v v. 7 | |
500 | |a Includes bibliographical references and index | ||
500 | |a This book presents the background and application of receptor models for the source identification and quantitative mass apportionment of airborne pollutants. Over the past decade, receptor models have become an accepted part of the process for developing effective and efficient air quality management plans. Information is provided on the ambient and source sampling and chemical analysis needed to provide the input data for receptor models. Commonly used models are described with examples so that the air quality specialist can see how these models are applied. Recent advances in several areas of the field are presented as well as the perspective of both U.S. Federal and State level air quality managers on how these models fit into the development of a management plan. The aim of the book is to provide a practical guide to persons who may be given the task of implementing receptor modeling as a part of some air quality management problem. The intention of all the chapter authors is to furnish both the basic information needed to begin doing receptor modeling as well as some insight into some of the problems related to the use of these models. These tools like any others used in solving complex technological problems are not a panacea, but do represent powerful aids in data analysis that can lead to insights as to how an airshed functions and thus, to effective and efficient air quality management strategies | ||
650 | 4 | |a Air / Qualité / Gestion / Méthodologie | |
650 | 7 | |a Air quality management / Methodology |2 fast | |
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Datensatz im Suchindex
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dewey-full | 628.5/3 |
dewey-hundreds | 600 - Technology (Applied sciences) |
dewey-ones | 628 - Sanitary engineering |
dewey-raw | 628.5/3 |
dewey-search | 628.5/3 |
dewey-sort | 3628.5 13 |
dewey-tens | 620 - Engineering and allied operations |
discipline | Bauingenieurwesen |
format | Electronic eBook |
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id | DE-604.BV042314082 |
illustrated | Not Illustrated |
indexdate | 2024-07-10T01:18:10Z |
institution | BVB |
isbn | 9780444882189 0444882189 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-027751073 |
oclc_num | 316565807 |
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owner_facet | DE-1046 |
physical | 1 Online-Ressource (xi, 329 p.) |
psigel | ZDB-33-ESD ZDB-33-EBS FAW_PDA_ESD FLA_PDA_ESD |
publishDate | 1991 |
publishDateSearch | 1991 |
publishDateSort | 1991 |
publisher | Elsevier |
record_format | marc |
series2 | Data handling in science and technology |
spelling | Receptor modeling for air quality management edited by Philip K. Hopke Amsterdam Elsevier 1991 1 Online-Ressource (xi, 329 p.) txt rdacontent c rdamedia cr rdacarrier Data handling in science and technology v. 7 Includes bibliographical references and index This book presents the background and application of receptor models for the source identification and quantitative mass apportionment of airborne pollutants. Over the past decade, receptor models have become an accepted part of the process for developing effective and efficient air quality management plans. Information is provided on the ambient and source sampling and chemical analysis needed to provide the input data for receptor models. Commonly used models are described with examples so that the air quality specialist can see how these models are applied. Recent advances in several areas of the field are presented as well as the perspective of both U.S. Federal and State level air quality managers on how these models fit into the development of a management plan. The aim of the book is to provide a practical guide to persons who may be given the task of implementing receptor modeling as a part of some air quality management problem. The intention of all the chapter authors is to furnish both the basic information needed to begin doing receptor modeling as well as some insight into some of the problems related to the use of these models. These tools like any others used in solving complex technological problems are not a panacea, but do represent powerful aids in data analysis that can lead to insights as to how an airshed functions and thus, to effective and efficient air quality management strategies Air / Qualité / Gestion / Méthodologie Air quality management / Methodology fast Air quality management Methodology Emissionsverringerung (DE-588)4113432-1 gnd rswk-swf Mathematisches Modell (DE-588)4114528-8 gnd rswk-swf Luftverschmutzung (DE-588)4074381-0 gnd rswk-swf Luftverschmutzung (DE-588)4074381-0 s Emissionsverringerung (DE-588)4113432-1 s Mathematisches Modell (DE-588)4114528-8 s 1\p DE-604 Hopke, Philip K. Sonstige oth http://www.sciencedirect.com/science/book/9780444882189 Verlag Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
spellingShingle | Receptor modeling for air quality management Air / Qualité / Gestion / Méthodologie Air quality management / Methodology fast Air quality management Methodology Emissionsverringerung (DE-588)4113432-1 gnd Mathematisches Modell (DE-588)4114528-8 gnd Luftverschmutzung (DE-588)4074381-0 gnd |
subject_GND | (DE-588)4113432-1 (DE-588)4114528-8 (DE-588)4074381-0 |
title | Receptor modeling for air quality management |
title_auth | Receptor modeling for air quality management |
title_exact_search | Receptor modeling for air quality management |
title_full | Receptor modeling for air quality management edited by Philip K. Hopke |
title_fullStr | Receptor modeling for air quality management edited by Philip K. Hopke |
title_full_unstemmed | Receptor modeling for air quality management edited by Philip K. Hopke |
title_short | Receptor modeling for air quality management |
title_sort | receptor modeling for air quality management |
topic | Air / Qualité / Gestion / Méthodologie Air quality management / Methodology fast Air quality management Methodology Emissionsverringerung (DE-588)4113432-1 gnd Mathematisches Modell (DE-588)4114528-8 gnd Luftverschmutzung (DE-588)4074381-0 gnd |
topic_facet | Air / Qualité / Gestion / Méthodologie Air quality management / Methodology Air quality management Methodology Emissionsverringerung Mathematisches Modell Luftverschmutzung |
url | http://www.sciencedirect.com/science/book/9780444882189 |
work_keys_str_mv | AT hopkephilipk receptormodelingforairqualitymanagement |