Modeling of the stormwater runoff quantity and quality in Amman-Zarqua Basin, Jordan View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2019-12

AUTHORS

Othman Al-Mashaqbeh, Malek Shorman

ABSTRACT

The Storm Water Management Model (SWMM) was applied to simulate stormwater runoff quantity and quality generated from different land uses at Amman-Zarqa Basin (AZB) over two winter seasons (October 25, 2012 to May 31, 2014). The model was calibrated and validated using several storm events over two winter seasons for a measured surface flow data at the inlet of King Talal Dam (KTD). The calibration and validation results showed good agreement between simulated and measured surface runoff flow data at AZB. The results showed that the total precipitation estimated by the model is about 1106 MCM during the study period. About 93.2% of precipitation (1031 MCM) is lost by infiltration and evaporation and 6.8% (75 MCM) is generated as runoff in AZB. The total predicted surface flow by the model was about 207 MCM compared with a measured value of 213 MCM in the basin. It is noticed that the contribution of surface runoff flow is about 36% of the total storage of KTD during the study period. Based on the results of this preliminary modeling study, pollutant loads (BOD5, COD, and TSS) carried by stormwater runoff were much higher than those by treated wastewater over the study period. The SWMM is a very effective model and has successfully modeled both hydraulic and pollutant loads generated from Amman-Zarqa Basin. More... »

PAGES

9

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s41207-018-0092-7

DOI

http://dx.doi.org/10.1007/s41207-018-0092-7

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1111752962


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/2008/0406", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Physical Geography and Environmental Geoscience", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/04", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Earth Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Royal Scientific Society", 
          "id": "https://www.grid.ac/institutes/grid.426112.2", 
          "name": [
            "Water and Environment Centre, Royal Scientific Society, Amman, Jordan"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Al-Mashaqbeh", 
        "givenName": "Othman", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "KEO International Consultants, Kuwait, Kuwait"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Shorman", 
        "givenName": "Malek", 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1007/s12665-009-0010-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001030999", 
          "https://doi.org/10.1007/s12665-009-0010-z"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s12665-009-0010-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001030999", 
          "https://doi.org/10.1007/s12665-009-0010-z"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jhydrol.2014.03.013", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006531580"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0022-1694(70)90255-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012882666"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0022-1694(70)90255-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1012882666"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.arabjc.2014.01.011", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019248899"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0043-1354(96)00176-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023944431"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0006-3207(74)90071-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038950676"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0006-3207(74)90071-8", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038950676"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1006/jare.1999.0551", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039073539"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1440-1770.2006.00294.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043234604"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/01944369608975688", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047795480"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.2478/s13531-013-0163-0", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048472727", 
          "https://doi.org/10.2478/s13531-013-0163-0"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1061/(asce)0733-9496(1991)117:3(352)", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1057605287"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.13031/2013.23153", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1064892822"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3844/ajessp.2007.30.36", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1071458145"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.2495/wp140331", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1098493287"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2019-12", 
    "datePublishedReg": "2019-12-01", 
    "description": "The Storm Water Management Model (SWMM) was applied to simulate stormwater runoff quantity and quality generated from different land uses at Amman-Zarqa Basin (AZB) over two winter seasons (October 25, 2012 to May 31, 2014). The model was calibrated and validated using several storm events over two winter seasons for a measured surface flow data at the inlet of King Talal Dam (KTD). The calibration and validation results showed good agreement between simulated and measured surface runoff flow data at AZB. The results showed that the total precipitation estimated by the model is about 1106 MCM during the study period. About 93.2% of precipitation (1031 MCM) is lost by infiltration and evaporation and 6.8% (75 MCM) is generated as runoff in AZB. The total predicted surface flow by the model was about 207 MCM compared with a measured value of 213 MCM in the basin. It is noticed that the contribution of surface runoff flow is about 36% of the total storage of KTD during the study period. Based on the results of this preliminary modeling study, pollutant loads (BOD5, COD, and TSS) carried by stormwater runoff were much higher than those by treated wastewater over the study period. The SWMM is a very effective model and has successfully modeled both hydraulic and pollutant loads generated from Amman-Zarqa Basin.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s41207-018-0092-7", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1290416", 
        "issn": [
          "2365-6433", 
          "2365-7448"
        ], 
        "name": "Euro-Mediterranean Journal for Environmental Integration", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "4"
      }
    ], 
    "name": "Modeling of the stormwater runoff quantity and quality in Amman-Zarqua Basin, Jordan", 
    "pagination": "9", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "6fe0e6c80a9946c5533959b77cfe01ed3896434dbb1ca2279885211aba79c0d3"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s41207-018-0092-7"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1111752962"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s41207-018-0092-7", 
      "https://app.dimensions.ai/details/publication/pub.1111752962"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T08:58", 
    "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/v90/0000000326_0000000326/records_68460_00000000.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1007%2Fs41207-018-0092-7"
  }
]
 

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/s41207-018-0092-7'

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/s41207-018-0092-7'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s41207-018-0092-7'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s41207-018-0092-7'


 

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

112 TRIPLES      21 PREDICATES      41 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s41207-018-0092-7 schema:about anzsrc-for:04
2 anzsrc-for:0406
3 schema:author N13fb7455af9f4789bdcb5bebeb6314e9
4 schema:citation sg:pub.10.1007/s12665-009-0010-z
5 sg:pub.10.2478/s13531-013-0163-0
6 https://doi.org/10.1006/jare.1999.0551
7 https://doi.org/10.1016/0006-3207(74)90071-8
8 https://doi.org/10.1016/0022-1694(70)90255-6
9 https://doi.org/10.1016/j.arabjc.2014.01.011
10 https://doi.org/10.1016/j.jhydrol.2014.03.013
11 https://doi.org/10.1016/s0043-1354(96)00176-5
12 https://doi.org/10.1061/(asce)0733-9496(1991)117:3(352)
13 https://doi.org/10.1080/01944369608975688
14 https://doi.org/10.1111/j.1440-1770.2006.00294.x
15 https://doi.org/10.13031/2013.23153
16 https://doi.org/10.2495/wp140331
17 https://doi.org/10.3844/ajessp.2007.30.36
18 schema:datePublished 2019-12
19 schema:datePublishedReg 2019-12-01
20 schema:description The Storm Water Management Model (SWMM) was applied to simulate stormwater runoff quantity and quality generated from different land uses at Amman-Zarqa Basin (AZB) over two winter seasons (October 25, 2012 to May 31, 2014). The model was calibrated and validated using several storm events over two winter seasons for a measured surface flow data at the inlet of King Talal Dam (KTD). The calibration and validation results showed good agreement between simulated and measured surface runoff flow data at AZB. The results showed that the total precipitation estimated by the model is about 1106 MCM during the study period. About 93.2% of precipitation (1031 MCM) is lost by infiltration and evaporation and 6.8% (75 MCM) is generated as runoff in AZB. The total predicted surface flow by the model was about 207 MCM compared with a measured value of 213 MCM in the basin. It is noticed that the contribution of surface runoff flow is about 36% of the total storage of KTD during the study period. Based on the results of this preliminary modeling study, pollutant loads (BOD5, COD, and TSS) carried by stormwater runoff were much higher than those by treated wastewater over the study period. The SWMM is a very effective model and has successfully modeled both hydraulic and pollutant loads generated from Amman-Zarqa Basin.
21 schema:genre research_article
22 schema:inLanguage en
23 schema:isAccessibleForFree false
24 schema:isPartOf Nabfa03c90d2947c29a1c44d90561bbec
25 Nf1018610d4ae4e4dad8092d362e97d5b
26 sg:journal.1290416
27 schema:name Modeling of the stormwater runoff quantity and quality in Amman-Zarqua Basin, Jordan
28 schema:pagination 9
29 schema:productId N1b2bcefb162c49cd81a7fb4acc666e2c
30 N9965ebd654d245b596c51376c2da6e28
31 Nd593539d047341f68b6d04946fda5a64
32 schema:sameAs https://app.dimensions.ai/details/publication/pub.1111752962
33 https://doi.org/10.1007/s41207-018-0092-7
34 schema:sdDatePublished 2019-04-11T08:58
35 schema:sdLicense https://scigraph.springernature.com/explorer/license/
36 schema:sdPublisher N87b44c9a5aaf466db58d47c29bf0bc15
37 schema:url https://link.springer.com/10.1007%2Fs41207-018-0092-7
38 sgo:license sg:explorer/license/
39 sgo:sdDataset articles
40 rdf:type schema:ScholarlyArticle
41 N001be4a12d294b5295b3ef72ba9e3341 schema:name KEO International Consultants, Kuwait, Kuwait
42 rdf:type schema:Organization
43 N0a2303d69b0041098e8c4666310a2139 schema:affiliation https://www.grid.ac/institutes/grid.426112.2
44 schema:familyName Al-Mashaqbeh
45 schema:givenName Othman
46 rdf:type schema:Person
47 N13fb7455af9f4789bdcb5bebeb6314e9 rdf:first N0a2303d69b0041098e8c4666310a2139
48 rdf:rest N60520c202cfc4bbbb37d7d85e3df4b6f
49 N1b2bcefb162c49cd81a7fb4acc666e2c schema:name doi
50 schema:value 10.1007/s41207-018-0092-7
51 rdf:type schema:PropertyValue
52 N60520c202cfc4bbbb37d7d85e3df4b6f rdf:first N67ff86492423426991c9cc950228f159
53 rdf:rest rdf:nil
54 N67ff86492423426991c9cc950228f159 schema:affiliation N001be4a12d294b5295b3ef72ba9e3341
55 schema:familyName Shorman
56 schema:givenName Malek
57 rdf:type schema:Person
58 N87b44c9a5aaf466db58d47c29bf0bc15 schema:name Springer Nature - SN SciGraph project
59 rdf:type schema:Organization
60 N9965ebd654d245b596c51376c2da6e28 schema:name readcube_id
61 schema:value 6fe0e6c80a9946c5533959b77cfe01ed3896434dbb1ca2279885211aba79c0d3
62 rdf:type schema:PropertyValue
63 Nabfa03c90d2947c29a1c44d90561bbec schema:volumeNumber 4
64 rdf:type schema:PublicationVolume
65 Nd593539d047341f68b6d04946fda5a64 schema:name dimensions_id
66 schema:value pub.1111752962
67 rdf:type schema:PropertyValue
68 Nf1018610d4ae4e4dad8092d362e97d5b schema:issueNumber 1
69 rdf:type schema:PublicationIssue
70 anzsrc-for:04 schema:inDefinedTermSet anzsrc-for:
71 schema:name Earth Sciences
72 rdf:type schema:DefinedTerm
73 anzsrc-for:0406 schema:inDefinedTermSet anzsrc-for:
74 schema:name Physical Geography and Environmental Geoscience
75 rdf:type schema:DefinedTerm
76 sg:journal.1290416 schema:issn 2365-6433
77 2365-7448
78 schema:name Euro-Mediterranean Journal for Environmental Integration
79 rdf:type schema:Periodical
80 sg:pub.10.1007/s12665-009-0010-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1001030999
81 https://doi.org/10.1007/s12665-009-0010-z
82 rdf:type schema:CreativeWork
83 sg:pub.10.2478/s13531-013-0163-0 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048472727
84 https://doi.org/10.2478/s13531-013-0163-0
85 rdf:type schema:CreativeWork
86 https://doi.org/10.1006/jare.1999.0551 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039073539
87 rdf:type schema:CreativeWork
88 https://doi.org/10.1016/0006-3207(74)90071-8 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038950676
89 rdf:type schema:CreativeWork
90 https://doi.org/10.1016/0022-1694(70)90255-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1012882666
91 rdf:type schema:CreativeWork
92 https://doi.org/10.1016/j.arabjc.2014.01.011 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019248899
93 rdf:type schema:CreativeWork
94 https://doi.org/10.1016/j.jhydrol.2014.03.013 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006531580
95 rdf:type schema:CreativeWork
96 https://doi.org/10.1016/s0043-1354(96)00176-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023944431
97 rdf:type schema:CreativeWork
98 https://doi.org/10.1061/(asce)0733-9496(1991)117:3(352) schema:sameAs https://app.dimensions.ai/details/publication/pub.1057605287
99 rdf:type schema:CreativeWork
100 https://doi.org/10.1080/01944369608975688 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047795480
101 rdf:type schema:CreativeWork
102 https://doi.org/10.1111/j.1440-1770.2006.00294.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1043234604
103 rdf:type schema:CreativeWork
104 https://doi.org/10.13031/2013.23153 schema:sameAs https://app.dimensions.ai/details/publication/pub.1064892822
105 rdf:type schema:CreativeWork
106 https://doi.org/10.2495/wp140331 schema:sameAs https://app.dimensions.ai/details/publication/pub.1098493287
107 rdf:type schema:CreativeWork
108 https://doi.org/10.3844/ajessp.2007.30.36 schema:sameAs https://app.dimensions.ai/details/publication/pub.1071458145
109 rdf:type schema:CreativeWork
110 https://www.grid.ac/institutes/grid.426112.2 schema:alternateName Royal Scientific Society
111 schema:name Water and Environment Centre, Royal Scientific Society, Amman, Jordan
112 rdf:type schema:Organization
 




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


...