Modeling of coagulation-microfiltration hybrid process for treatment of oily wastewater using ceramic membranes View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2014-03

AUTHORS

M. Abbasi, A. Taheri

ABSTRACT

In this novel paper, fouling mechanisms of Mullite-alumina ceramic membranes in treatment of oily wastewaters in hybrid coagulation—microfiltration (MF) process have been presented. Hermia’s models for cross flow filtration were used to investigate the fouling mechanisms of membranes at different time intervals with various coagulant concentrations. Four coagulant ((ferrous chloride (FeCl2 · 4H2O), ferrous sulfate (FeSO4 · 7H2O), aluminum chloride (AlCl3 · 6H2O) and aluminum sulfate (Al2(SO4−)3 · 18H2O)) plus equal concentration of calcium hydroxide in form of calcium hydroxide (Ca(OH)2) were evaluated in the coagulation—MF hybrid process at different concentrations (0, 50, 100 and 200 ppm). To determine whether the data agree with any of the considered models, the coefficient of determination (R2) of each plot for one model was compared with the others. In addition, average prediction errors of models are calculated. The results showed that the cake filtration model can be applied for prediction of the permeation flux decline for MF and coagulation—MF hybrid process with the best and worst average error equal to 0.96% and 5.78% respectively. Results indicated that by increasing time in filtration pore blocking behavior changes and one model cannot predict pore blocking behavior in all filtration time with very good preciseness. More... »

PAGES

80-89

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.3103/s1063455x14020064

DOI

http://dx.doi.org/10.3103/s1063455x14020064

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1024443939


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/2008/0904", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Chemical Engineering", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/09", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Engineering", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "name": [
            "Islamic Azad University, Lamerd, Iran"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Abbasi", 
        "givenName": "M.", 
        "id": "sg:person.011215463455.43", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011215463455.43"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Islamic Azad University, Lamerd, Iran"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Taheri", 
        "givenName": "A.", 
        "id": "sg:person.011535273415.10", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011535273415.10"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/s1001-0742(09)60003-6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001304597"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.3103/s1063455x10030069", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002309957", 
          "https://doi.org/10.3103/s1063455x10030069"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.3103/s1063455x10030069", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1002309957", 
          "https://doi.org/10.3103/s1063455x10030069"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.watres.2004.08.006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007672822"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.3103/s1063455x09060083", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009839746", 
          "https://doi.org/10.3103/s1063455x09060083"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.3103/s1063455x09060083", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009839746", 
          "https://doi.org/10.3103/s1063455x09060083"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.memsci.2008.07.054", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014367686"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/ceat.201100108", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016897179"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.chemosphere.2008.01.062", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027691385"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.3103/s1063455x1006010x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029896523", 
          "https://doi.org/10.3103/s1063455x1006010x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.desal.2009.08.006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031120082"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.desal.2009.08.006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031120082"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.desal.2006.09.014", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032277003"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0376-7388(02)00252-1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032473587"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/01496390903136004", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037688723"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0376-7388(94)00265-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038854438"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/01496390600552347", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042224834"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cej.2009.07.014", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045812959"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.seppur.2008.02.028", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046173769"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cej.2008.10.027", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047633577"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.desal.2010.04.013", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048035871"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2014-03", 
    "datePublishedReg": "2014-03-01", 
    "description": "In this novel paper, fouling mechanisms of Mullite-alumina ceramic membranes in treatment of oily wastewaters in hybrid coagulation\u2014microfiltration (MF) process have been presented. Hermia\u2019s models for cross flow filtration were used to investigate the fouling mechanisms of membranes at different time intervals with various coagulant concentrations. Four coagulant ((ferrous chloride (FeCl2 \u00b7 4H2O), ferrous sulfate (FeSO4 \u00b7 7H2O), aluminum chloride (AlCl3 \u00b7 6H2O) and aluminum sulfate (Al2(SO4\u2212)3 \u00b7 18H2O)) plus equal concentration of calcium hydroxide in form of calcium hydroxide (Ca(OH)2) were evaluated in the coagulation\u2014MF hybrid process at different concentrations (0, 50, 100 and 200 ppm). To determine whether the data agree with any of the considered models, the coefficient of determination (R2) of each plot for one model was compared with the others. In addition, average prediction errors of models are calculated. The results showed that the cake filtration model can be applied for prediction of the permeation flux decline for MF and coagulation\u2014MF hybrid process with the best and worst average error equal to 0.96% and 5.78% respectively. Results indicated that by increasing time in filtration pore blocking behavior changes and one model cannot predict pore blocking behavior in all filtration time with very good preciseness.", 
    "genre": "research_article", 
    "id": "sg:pub.10.3103/s1063455x14020064", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1136697", 
        "issn": [
          "1063-455X", 
          "1934-936X"
        ], 
        "name": "Journal of Water Chemistry and Technology", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "2", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "36"
      }
    ], 
    "name": "Modeling of coagulation-microfiltration hybrid process for treatment of oily wastewater using ceramic membranes", 
    "pagination": "80-89", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "7473e5cfa3a4704a714bd8ce962b60a1590cf1aad1d1019dd9870a98d30b1d07"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.3103/s1063455x14020064"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1024443939"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.3103/s1063455x14020064", 
      "https://app.dimensions.ai/details/publication/pub.1024443939"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T00:14", 
    "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_8695_00000505.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.3103/S1063455X14020064"
  }
]
 

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.10.3103/s1063455x14020064'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.3103/s1063455x14020064'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.3103/s1063455x14020064'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.3103/s1063455x14020064'


 

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

126 TRIPLES      21 PREDICATES      45 URIs      19 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.3103/s1063455x14020064 schema:about anzsrc-for:09
2 anzsrc-for:0904
3 schema:author Nff7389250f734830a035814aad19b86d
4 schema:citation sg:pub.10.3103/s1063455x09060083
5 sg:pub.10.3103/s1063455x10030069
6 sg:pub.10.3103/s1063455x1006010x
7 https://doi.org/10.1002/ceat.201100108
8 https://doi.org/10.1016/0376-7388(94)00265-z
9 https://doi.org/10.1016/j.cej.2008.10.027
10 https://doi.org/10.1016/j.cej.2009.07.014
11 https://doi.org/10.1016/j.chemosphere.2008.01.062
12 https://doi.org/10.1016/j.desal.2006.09.014
13 https://doi.org/10.1016/j.desal.2009.08.006
14 https://doi.org/10.1016/j.desal.2010.04.013
15 https://doi.org/10.1016/j.memsci.2008.07.054
16 https://doi.org/10.1016/j.seppur.2008.02.028
17 https://doi.org/10.1016/j.watres.2004.08.006
18 https://doi.org/10.1016/s0376-7388(02)00252-1
19 https://doi.org/10.1016/s1001-0742(09)60003-6
20 https://doi.org/10.1080/01496390600552347
21 https://doi.org/10.1080/01496390903136004
22 schema:datePublished 2014-03
23 schema:datePublishedReg 2014-03-01
24 schema:description In this novel paper, fouling mechanisms of Mullite-alumina ceramic membranes in treatment of oily wastewaters in hybrid coagulation—microfiltration (MF) process have been presented. Hermia’s models for cross flow filtration were used to investigate the fouling mechanisms of membranes at different time intervals with various coagulant concentrations. Four coagulant ((ferrous chloride (FeCl2 · 4H2O), ferrous sulfate (FeSO4 · 7H2O), aluminum chloride (AlCl3 · 6H2O) and aluminum sulfate (Al2(SO4−)3 · 18H2O)) plus equal concentration of calcium hydroxide in form of calcium hydroxide (Ca(OH)2) were evaluated in the coagulation—MF hybrid process at different concentrations (0, 50, 100 and 200 ppm). To determine whether the data agree with any of the considered models, the coefficient of determination (R2) of each plot for one model was compared with the others. In addition, average prediction errors of models are calculated. The results showed that the cake filtration model can be applied for prediction of the permeation flux decline for MF and coagulation—MF hybrid process with the best and worst average error equal to 0.96% and 5.78% respectively. Results indicated that by increasing time in filtration pore blocking behavior changes and one model cannot predict pore blocking behavior in all filtration time with very good preciseness.
25 schema:genre research_article
26 schema:inLanguage en
27 schema:isAccessibleForFree true
28 schema:isPartOf Nd3cd489fa22a472ebb8593ae9b3d3255
29 Nf7c90e06ded94022a8b0f34ca4e77d7b
30 sg:journal.1136697
31 schema:name Modeling of coagulation-microfiltration hybrid process for treatment of oily wastewater using ceramic membranes
32 schema:pagination 80-89
33 schema:productId N1fca56bf6ba6460ab67db1ddfd48911c
34 N21f131226da248edb78474371cbb0beb
35 Ne0abc86c0b774a93a35dc3a1163da3f3
36 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024443939
37 https://doi.org/10.3103/s1063455x14020064
38 schema:sdDatePublished 2019-04-11T00:14
39 schema:sdLicense https://scigraph.springernature.com/explorer/license/
40 schema:sdPublisher N5b1dece6788e48e28003497f426b491a
41 schema:url http://link.springer.com/10.3103/S1063455X14020064
42 sgo:license sg:explorer/license/
43 sgo:sdDataset articles
44 rdf:type schema:ScholarlyArticle
45 N0241dff5a2bc432a901914073cba8690 schema:name Islamic Azad University, Lamerd, Iran
46 rdf:type schema:Organization
47 N1fca56bf6ba6460ab67db1ddfd48911c schema:name dimensions_id
48 schema:value pub.1024443939
49 rdf:type schema:PropertyValue
50 N21f131226da248edb78474371cbb0beb schema:name doi
51 schema:value 10.3103/s1063455x14020064
52 rdf:type schema:PropertyValue
53 N420bd2eed1ef43498fe79eef12cbfe59 rdf:first sg:person.011535273415.10
54 rdf:rest rdf:nil
55 N5b1dece6788e48e28003497f426b491a schema:name Springer Nature - SN SciGraph project
56 rdf:type schema:Organization
57 N7f74465342914274b78841bff008df5e schema:name Islamic Azad University, Lamerd, Iran
58 rdf:type schema:Organization
59 Nd3cd489fa22a472ebb8593ae9b3d3255 schema:volumeNumber 36
60 rdf:type schema:PublicationVolume
61 Ne0abc86c0b774a93a35dc3a1163da3f3 schema:name readcube_id
62 schema:value 7473e5cfa3a4704a714bd8ce962b60a1590cf1aad1d1019dd9870a98d30b1d07
63 rdf:type schema:PropertyValue
64 Nf7c90e06ded94022a8b0f34ca4e77d7b schema:issueNumber 2
65 rdf:type schema:PublicationIssue
66 Nff7389250f734830a035814aad19b86d rdf:first sg:person.011215463455.43
67 rdf:rest N420bd2eed1ef43498fe79eef12cbfe59
68 anzsrc-for:09 schema:inDefinedTermSet anzsrc-for:
69 schema:name Engineering
70 rdf:type schema:DefinedTerm
71 anzsrc-for:0904 schema:inDefinedTermSet anzsrc-for:
72 schema:name Chemical Engineering
73 rdf:type schema:DefinedTerm
74 sg:journal.1136697 schema:issn 1063-455X
75 1934-936X
76 schema:name Journal of Water Chemistry and Technology
77 rdf:type schema:Periodical
78 sg:person.011215463455.43 schema:affiliation N0241dff5a2bc432a901914073cba8690
79 schema:familyName Abbasi
80 schema:givenName M.
81 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011215463455.43
82 rdf:type schema:Person
83 sg:person.011535273415.10 schema:affiliation N7f74465342914274b78841bff008df5e
84 schema:familyName Taheri
85 schema:givenName A.
86 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011535273415.10
87 rdf:type schema:Person
88 sg:pub.10.3103/s1063455x09060083 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009839746
89 https://doi.org/10.3103/s1063455x09060083
90 rdf:type schema:CreativeWork
91 sg:pub.10.3103/s1063455x10030069 schema:sameAs https://app.dimensions.ai/details/publication/pub.1002309957
92 https://doi.org/10.3103/s1063455x10030069
93 rdf:type schema:CreativeWork
94 sg:pub.10.3103/s1063455x1006010x schema:sameAs https://app.dimensions.ai/details/publication/pub.1029896523
95 https://doi.org/10.3103/s1063455x1006010x
96 rdf:type schema:CreativeWork
97 https://doi.org/10.1002/ceat.201100108 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016897179
98 rdf:type schema:CreativeWork
99 https://doi.org/10.1016/0376-7388(94)00265-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1038854438
100 rdf:type schema:CreativeWork
101 https://doi.org/10.1016/j.cej.2008.10.027 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047633577
102 rdf:type schema:CreativeWork
103 https://doi.org/10.1016/j.cej.2009.07.014 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045812959
104 rdf:type schema:CreativeWork
105 https://doi.org/10.1016/j.chemosphere.2008.01.062 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027691385
106 rdf:type schema:CreativeWork
107 https://doi.org/10.1016/j.desal.2006.09.014 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032277003
108 rdf:type schema:CreativeWork
109 https://doi.org/10.1016/j.desal.2009.08.006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031120082
110 rdf:type schema:CreativeWork
111 https://doi.org/10.1016/j.desal.2010.04.013 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048035871
112 rdf:type schema:CreativeWork
113 https://doi.org/10.1016/j.memsci.2008.07.054 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014367686
114 rdf:type schema:CreativeWork
115 https://doi.org/10.1016/j.seppur.2008.02.028 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046173769
116 rdf:type schema:CreativeWork
117 https://doi.org/10.1016/j.watres.2004.08.006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007672822
118 rdf:type schema:CreativeWork
119 https://doi.org/10.1016/s0376-7388(02)00252-1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032473587
120 rdf:type schema:CreativeWork
121 https://doi.org/10.1016/s1001-0742(09)60003-6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001304597
122 rdf:type schema:CreativeWork
123 https://doi.org/10.1080/01496390600552347 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042224834
124 rdf:type schema:CreativeWork
125 https://doi.org/10.1080/01496390903136004 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037688723
126 rdf:type schema:CreativeWork
 




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


...