Ontology type: schema:Chapter
2019
AUTHORSMarie-Ève Jean , Sophie Duchesne , Geneviève Pelletier , Martin Pleau
ABSTRACTCombined sewer overflows (CSO) are associated with water quality degradation and health risks, but limited knowledge exists on the optimal solutions applicable to reach maximal overflow frequency targets as specified by some regulatory agencies. This study assesses the potential benefit of integrating source control with real-time control solutions based on hydrological/hydraulic modelling of urban catchments of the Province of Québec (Canada). Firstly, modelling procedures for volume sizing of CSO solutions are improved by determining the proper rainfall input among the three most common types of rainfall data (continuous simulation, historical rainstorms and IDF-derived storms) excluding winter months in the analysis to be aligned with Quebec legislation. Secondly, a methodological framework is developed to integrate source control and optimal real-time control solutions based on a cost-efficiency performance objective. Thirdly, two optimization software are coupled to iteratively solve for the best flow management strategy according to physical and operating constraints; iPOP for source control design and CSoft for dynamic control. Preliminary results showed that simulation of continuous rainfall series results in the most accurate volume estimations for sizing CSO solutions and IDF-derived design storms could serve as input data for initial optimization runs. Based on the determined appropriate rainfall data, source control optimization showed considerable solutions implementation cost reduction for acceptable runoff reduction. Future work includes refining the integrated solution framework and comparative analysis of modelling results under optimal implementation of source control and real-time control solutions. More... »
PAGES614-620
New Trends in Urban Drainage Modelling
ISBN
978-3-319-99866-4
978-3-319-99867-1
http://scigraph.springernature.com/pub.10.1007/978-3-319-99867-1_106
DOIhttp://dx.doi.org/10.1007/978-3-319-99867-1_106
DIMENSIONShttps://app.dimensions.ai/details/publication/pub.1106471914
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/2008/0102",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Applied Mathematics",
"type": "DefinedTerm"
},
{
"id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/01",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Mathematical Sciences",
"type": "DefinedTerm"
}
],
"author": [
{
"affiliation": {
"alternateName": "Institut National de la Recherche Scientifique",
"id": "https://www.grid.ac/institutes/grid.418084.1",
"name": [
"Institut National de la recherche scientifique"
],
"type": "Organization"
},
"familyName": "Jean",
"givenName": "Marie-\u00c8ve",
"id": "sg:person.014677126544.60",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014677126544.60"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Institut National de la Recherche Scientifique",
"id": "https://www.grid.ac/institutes/grid.418084.1",
"name": [
"Institut National de la recherche scientifique"
],
"type": "Organization"
},
"familyName": "Duchesne",
"givenName": "Sophie",
"id": "sg:person.0651275442.24",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0651275442.24"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Universit\u00e9 Laval",
"id": "https://www.grid.ac/institutes/grid.23856.3a",
"name": [
"Universit\u00e9 Laval"
],
"type": "Organization"
},
"familyName": "Pelletier",
"givenName": "Genevi\u00e8ve",
"id": "sg:person.01175327006.74",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01175327006.74"
],
"type": "Person"
},
{
"affiliation": {
"name": [
"Tetra Tech CSO"
],
"type": "Organization"
},
"familyName": "Pleau",
"givenName": "Martin",
"id": "sg:person.013740266213.89",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013740266213.89"
],
"type": "Person"
}
],
"citation": [
{
"id": "https://doi.org/10.1139/l86-041",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1017711855"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.2166/wst.2015.207",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1069147457"
],
"type": "CreativeWork"
}
],
"datePublished": "2019",
"datePublishedReg": "2019-01-01",
"description": "Combined sewer overflows (CSO) are associated with water quality degradation and health risks, but limited knowledge exists on the optimal solutions applicable to reach maximal overflow frequency targets as specified by some regulatory agencies. This study assesses the potential benefit of integrating source control with real-time control solutions based on hydrological/hydraulic modelling of urban catchments of the Province of Qu\u00e9bec (Canada). Firstly, modelling procedures for volume sizing of CSO solutions are improved by determining the proper rainfall input among the three most common types of rainfall data (continuous simulation, historical rainstorms and IDF-derived storms) excluding winter months in the analysis to be aligned with Quebec legislation. Secondly, a methodological framework is developed to integrate source control and optimal real-time control solutions based on a cost-efficiency performance objective. Thirdly, two optimization software are coupled to iteratively solve for the best flow management strategy according to physical and operating constraints; iPOP for source control design and CSoft for dynamic control. Preliminary results showed that simulation of continuous rainfall series results in the most accurate volume estimations for sizing CSO solutions and IDF-derived design storms could serve as input data for initial optimization runs. Based on the determined appropriate rainfall data, source control optimization showed considerable solutions implementation cost reduction for acceptable runoff reduction. Future work includes refining the integrated solution framework and comparative analysis of modelling results under optimal implementation of source control and real-time control solutions.",
"editor": [
{
"familyName": "Mannina",
"givenName": "Giorgio",
"type": "Person"
}
],
"genre": "chapter",
"id": "sg:pub.10.1007/978-3-319-99867-1_106",
"inLanguage": [
"en"
],
"isAccessibleForFree": false,
"isPartOf": {
"isbn": [
"978-3-319-99866-4",
"978-3-319-99867-1"
],
"name": "New Trends in Urban Drainage Modelling",
"type": "Book"
},
"name": "Conceptual Framework for Integrating Real-Time Control and Source Control Solutions for CSO Frequency Control",
"pagination": "614-620",
"productId": [
{
"name": "doi",
"type": "PropertyValue",
"value": [
"10.1007/978-3-319-99867-1_106"
]
},
{
"name": "readcube_id",
"type": "PropertyValue",
"value": [
"c42c2358ae11aa1064325d5da946a0f7a9b4e5ed51fee0bf81f29cf52ddbdccf"
]
},
{
"name": "dimensions_id",
"type": "PropertyValue",
"value": [
"pub.1106471914"
]
}
],
"publisher": {
"location": "Cham",
"name": "Springer International Publishing",
"type": "Organisation"
},
"sameAs": [
"https://doi.org/10.1007/978-3-319-99867-1_106",
"https://app.dimensions.ai/details/publication/pub.1106471914"
],
"sdDataset": "chapters",
"sdDatePublished": "2019-04-15T12:57",
"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/v90/0000000001_0000000264/records_8663_00000494.jsonl",
"type": "Chapter",
"url": "http://link.springer.com/10.1007/978-3-319-99867-1_106"
}
]
Download the RDF metadata as: json-ld nt turtle xml License info
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.10.1007/978-3-319-99867-1_106'
N-Triples is a line-based linked data format ideal for batch operations.
curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/978-3-319-99867-1_106'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/978-3-319-99867-1_106'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/978-3-319-99867-1_106'
This table displays all metadata directly associated to this object as RDF triples.
97 TRIPLES
23 PREDICATES
29 URIs
20 LITERALS
8 BLANK NODES