Field Data Versus Modelling - Why Environmental Sciences Need Both View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

1991

AUTHORS

D. M. Imboden

ABSTRACT

There are 60 to 80 thousand chemicals in regular use entering millions of different “environmental systems” (lakes, rivers, groundwater, soil, organisms). Without an adequate strategy it will never be possible to locate all the systems and compounds which deserve our primary concern in order to prevent ecological disasters. The strategy of the empirical sciences is the combination of observation (field measurements) with the search for generalizable knowledge ultimately leading to models. While models are important in every branch of science they play a special role in environmental sciences: (1) as a substitute for the limited possibility to conduct “controlled” experiments in the environment, (2) to design field campaigns, (3) to evaluate alternative interpretations of field data, (4) to test alternative restoration strategies, and ultimately (5) to predict the future. The clever combination of field data and models is one efficient way to make optimal use of our limited monitoring capacity. More... »

PAGES

2-8

Book

TITLE

Organic Micropollutants in the Aquatic Environment

ISBN

978-94-010-5483-6
978-94-011-3356-2

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-94-011-3356-2_1

DOI

http://dx.doi.org/10.1007/978-94-011-3356-2_1

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1021826739


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0502", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Environmental Science and Management", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/05", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Environmental Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Swiss Federal Institute of Aquatic Science and Technology", 
          "id": "https://www.grid.ac/institutes/grid.418656.8", 
          "name": [
            "Environmental Physics, EAWAG, Swiss Federal Institute of Technology, CH-8600, D\u00fcbendorf, Switzerland"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Imboden", 
        "givenName": "D. M.", 
        "id": "sg:person.0675300637.34", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0675300637.34"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1002/anie.198303801", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012981560"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "1991", 
    "datePublishedReg": "1991-01-01", 
    "description": "There are 60 to 80 thousand chemicals in regular use entering millions of different \u201cenvironmental systems\u201d (lakes, rivers, groundwater, soil, organisms). Without an adequate strategy it will never be possible to locate all the systems and compounds which deserve our primary concern in order to prevent ecological disasters. The strategy of the empirical sciences is the combination of observation (field measurements) with the search for generalizable knowledge ultimately leading to models. While models are important in every branch of science they play a special role in environmental sciences: (1) as a substitute for the limited possibility to conduct \u201ccontrolled\u201d experiments in the environment, (2) to design field campaigns, (3) to evaluate alternative interpretations of field data, (4) to test alternative restoration strategies, and ultimately (5) to predict the future. The clever combination of field data and models is one efficient way to make optimal use of our limited monitoring capacity.", 
    "editor": [
      {
        "familyName": "Angeletti", 
        "givenName": "G.", 
        "type": "Person"
      }, 
      {
        "familyName": "Bj\u00f8rseth", 
        "givenName": "A.", 
        "type": "Person"
      }
    ], 
    "genre": "chapter", 
    "id": "sg:pub.10.1007/978-94-011-3356-2_1", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": {
      "isbn": [
        "978-94-010-5483-6", 
        "978-94-011-3356-2"
      ], 
      "name": "Organic Micropollutants in the Aquatic Environment", 
      "type": "Book"
    }, 
    "name": "Field Data Versus Modelling - Why Environmental Sciences Need Both", 
    "pagination": "2-8", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1021826739"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/978-94-011-3356-2_1"
        ]
      }, 
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "67fd80d14df0073cce4d6de71dfe4a2137bc91f3b832ddc8e5329dfbda1b67f9"
        ]
      }
    ], 
    "publisher": {
      "location": "Dordrecht", 
      "name": "Springer Netherlands", 
      "type": "Organisation"
    }, 
    "sameAs": [
      "https://doi.org/10.1007/978-94-011-3356-2_1", 
      "https://app.dimensions.ai/details/publication/pub.1021826739"
    ], 
    "sdDataset": "chapters", 
    "sdDatePublished": "2019-04-16T09:26", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000372_0000000372/records_117088_00000001.jsonl", 
    "type": "Chapter", 
    "url": "https://link.springer.com/10.1007%2F978-94-011-3356-2_1"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/978-94-011-3356-2_1'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/978-94-011-3356-2_1'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/978-94-011-3356-2_1'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/978-94-011-3356-2_1'


 

This table displays all metadata directly associated to this object as RDF triples.

73 TRIPLES      23 PREDICATES      28 URIs      20 LITERALS      8 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/978-94-011-3356-2_1 schema:about anzsrc-for:05
2 anzsrc-for:0502
3 schema:author Ne5812bf07e244071b628c6a3b0d68f82
4 schema:citation https://doi.org/10.1002/anie.198303801
5 schema:datePublished 1991
6 schema:datePublishedReg 1991-01-01
7 schema:description There are 60 to 80 thousand chemicals in regular use entering millions of different “environmental systems” (lakes, rivers, groundwater, soil, organisms). Without an adequate strategy it will never be possible to locate all the systems and compounds which deserve our primary concern in order to prevent ecological disasters. The strategy of the empirical sciences is the combination of observation (field measurements) with the search for generalizable knowledge ultimately leading to models. While models are important in every branch of science they play a special role in environmental sciences: (1) as a substitute for the limited possibility to conduct “controlled” experiments in the environment, (2) to design field campaigns, (3) to evaluate alternative interpretations of field data, (4) to test alternative restoration strategies, and ultimately (5) to predict the future. The clever combination of field data and models is one efficient way to make optimal use of our limited monitoring capacity.
8 schema:editor N90e6a45a71134530bd47db10f704b443
9 schema:genre chapter
10 schema:inLanguage en
11 schema:isAccessibleForFree false
12 schema:isPartOf N6632f5a143f14de7916b3c5002761ebe
13 schema:name Field Data Versus Modelling - Why Environmental Sciences Need Both
14 schema:pagination 2-8
15 schema:productId Nd2fed66806894954a53dbc4b012d21ac
16 Ndda5378a83a144e199d4012b81064a21
17 Ne0fba6ea3a704ea8a3071eb0a041613c
18 schema:publisher N2f65b400792d4c9a950fe9547fb60ef5
19 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021826739
20 https://doi.org/10.1007/978-94-011-3356-2_1
21 schema:sdDatePublished 2019-04-16T09:26
22 schema:sdLicense https://scigraph.springernature.com/explorer/license/
23 schema:sdPublisher N4a253abd79464b1092b1e0048bb96d9e
24 schema:url https://link.springer.com/10.1007%2F978-94-011-3356-2_1
25 sgo:license sg:explorer/license/
26 sgo:sdDataset chapters
27 rdf:type schema:Chapter
28 N07b8f1db077a46b5a68cdf7b7ba9c44c schema:familyName Angeletti
29 schema:givenName G.
30 rdf:type schema:Person
31 N1461940c5fa040c09adf3668f09f3f28 schema:familyName Bjørseth
32 schema:givenName A.
33 rdf:type schema:Person
34 N2f65b400792d4c9a950fe9547fb60ef5 schema:location Dordrecht
35 schema:name Springer Netherlands
36 rdf:type schema:Organisation
37 N4a253abd79464b1092b1e0048bb96d9e schema:name Springer Nature - SN SciGraph project
38 rdf:type schema:Organization
39 N6632f5a143f14de7916b3c5002761ebe schema:isbn 978-94-010-5483-6
40 978-94-011-3356-2
41 schema:name Organic Micropollutants in the Aquatic Environment
42 rdf:type schema:Book
43 N857dce8d8cfc45938d4645d12b49f876 rdf:first N1461940c5fa040c09adf3668f09f3f28
44 rdf:rest rdf:nil
45 N90e6a45a71134530bd47db10f704b443 rdf:first N07b8f1db077a46b5a68cdf7b7ba9c44c
46 rdf:rest N857dce8d8cfc45938d4645d12b49f876
47 Nd2fed66806894954a53dbc4b012d21ac schema:name readcube_id
48 schema:value 67fd80d14df0073cce4d6de71dfe4a2137bc91f3b832ddc8e5329dfbda1b67f9
49 rdf:type schema:PropertyValue
50 Ndda5378a83a144e199d4012b81064a21 schema:name doi
51 schema:value 10.1007/978-94-011-3356-2_1
52 rdf:type schema:PropertyValue
53 Ne0fba6ea3a704ea8a3071eb0a041613c schema:name dimensions_id
54 schema:value pub.1021826739
55 rdf:type schema:PropertyValue
56 Ne5812bf07e244071b628c6a3b0d68f82 rdf:first sg:person.0675300637.34
57 rdf:rest rdf:nil
58 anzsrc-for:05 schema:inDefinedTermSet anzsrc-for:
59 schema:name Environmental Sciences
60 rdf:type schema:DefinedTerm
61 anzsrc-for:0502 schema:inDefinedTermSet anzsrc-for:
62 schema:name Environmental Science and Management
63 rdf:type schema:DefinedTerm
64 sg:person.0675300637.34 schema:affiliation https://www.grid.ac/institutes/grid.418656.8
65 schema:familyName Imboden
66 schema:givenName D. M.
67 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0675300637.34
68 rdf:type schema:Person
69 https://doi.org/10.1002/anie.198303801 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012981560
70 rdf:type schema:CreativeWork
71 https://www.grid.ac/institutes/grid.418656.8 schema:alternateName Swiss Federal Institute of Aquatic Science and Technology
72 schema:name Environmental Physics, EAWAG, Swiss Federal Institute of Technology, CH-8600, Dübendorf, Switzerland
73 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...