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Description
Filtration Theory On removing little particle !ith big particle
School of Civil and
Filtration O"tline Filter
galore
#ange
$article
of applicability
Capt"re
Filter #apid Slo! '(ioSand)
theory Tranport
$ot
%imenional &nalyi
#o"ghing
Model
M"ltitage
prediction
Filtration
Filtration O"tline Filter
galore
#ange
$article
of applicability
Capt"re
Filter #apid Slo! '(ioSand)
theory Tranport
$ot
%imenional &nalyi
#o"ghing
Model
M"ltitage
prediction
Filtration
Filter *alore Slo! Sand #apid Sand
Cartridge
(ag
$ot '(io) Sand
%iatomaceo" earth filter Candle
#o"gh
Categori+ing Filter Straining $article
to be removed are larger than the pore i+e Clog rapidly %epth
Filtration
$article
to be removed may be m"ch maller than the
pore i+e #e,"ire attachment Can handle more olid before developing eceive head lo Filtration model coming
&ll filter remove more particle near the filter inlet
The 'if it i dirty/ filter it) Myth The
common miconception i that if the !ater i dirty then yo" y o" ho"ld filter it to clean it
("t
filter can0t handle very dirty !ater !itho"t clogging ,"ickly
Filter range of applicability 1
1
12 3T4 122
SSF
12
122 1k people
#SF5 %E
12k
122k
Cartridge (ag
$ot Candle
%eveloping a Filtration Model 6!aaki
7189:; developed relationhip decribing the performance of deep bed filter. C z dC C dC dC λ < − dz < − λ 2C − ln attractionG Modeler
have not "cceeded in decribing filter performance !hen electrotatic rep"lion i ignificant Model tend to predict no particle removal if electrotatic rep"lion i ignificant. Electrotatic rep"lion>attraction i only effective at very hort ditance and th" i involved in attachment/ not tranport
*eometric $arameter What
are the length cale that are related to particle capt"re by a filterG HHHHHHHHHHHHHH Filter depth 7+; HHHHHHHHHHHHHHHHHHHHHHHHHH Collector diameter 7media i+e; 7d c; HHHHHHHHHHHHHH $article diameter 7d p; $oroity
Create
dimenionle gro"p
Chooe
Π " =
d p d
7void vol"me>filter vol"me; 7 ε;
7dc; the repeating length HHHHHHHH
Π z =
z d
3"mber of collectorK
Π .+ :=
9 ⋅( 1 − ε ) B ⋅ln7 12;
⋅
+ d.c
Write the f"nctional relationhip o i o t i a t r a r h t e r c n g e o F L pC A = f ( Π " / Π z / ε / Π g / Π (r )
do"ble 6f !e do"ble depth of filter !hat doe pC* doG HHHHHHHHHHH pC A = Π z f ( Π " / ε / Π g / Π (r )
Io! do !e get more detail on thi f"nctional relationhipG Empirical mea"rement 3"merical model
3"merical Model TraPectory
analyi
&
erie of modeling attempt !ith refinement over the pat decade
(egan
!ith a 'ingle collector) model that modeled London and electrotatic force a an attachment efficiency term 7 α;
pC A
n n o i o t t i n t a o n p e i c i m e " r e 6 n t S e d % i ff
η ( d p) := η (r ( d p) + η # ( d p) + η g( d p) Tranport i additive
Total i "m of part
( ) := Π .+⋅ α ⋅η ( d.p)
pC d.p
Filtration Technologie Slo!
7FilterQEnglihQSlo! andQ'(ioand);
Firt
filter "ed for m"nicipal !ater treatment Were "nable to treat the t"rbid !ater of the Ohio and Miiippi #iver Can be "ed after #o"ghing filter #apid
7MechanicalQ&mericanQ#apid and;
4ed
in Conventional Water Treatment Facilitie 4ed after coag"lation>flocc"lation>edimentation Iigh flo! rateQclog dailyQhydra"lic cleaning Ceramic
#apid Sand Filter 7Conventional 4S Treatment;
Size (mm)
Anthracite Infuent
Drain Euent
Sand Gravel
!"
S&eci'c De&th Gravit (cm) !%
+
!#$ - !$$ *!%$
#$
*!%$
#$
$ - %
Wash water
Filter %eign Filter
media
ilica
and and anthracite coal
non-"niform
media !ill tratify !ith HHHHHHH maller particle
at the top Flo! D2
rate - B2 m>day
(ack!ah et
Compare !ith edimentation
rate
to obtain a bed poroity of 2.D to 2.:2
typically
1B22 m>day
(ack!ah Wah
!ater i treated !aterK
Anthracite Infuent
Drain Euent
Sand
WIRG
Only clean !ater ho"ld ever be on bottom of filterK
Gravel Wash water
#apid Sand predicted performance ρ p := 122 Ja
:=
kg
(ro!nian 6nterception *ravity Total
9
m
m hr
T := B89N + := cm dc
122
:= 2.mm
A C p a l a v o m e r e l c i t r a $
12
1
α := 1 ε := 2.
2.1 2.1
3ot very good at removing particle that
1
12
$article %iameter 7µm;
122
Slo! Sand Filtration Firt
filter to be "ed on a !idepread bai Fine and !ith an effective i+e of 2.B mm Lo! flo! rate 7B.-12 m>day; Compare !ith edimentation Schm"t+decke 7HHHHH filter cake HHHH; form on top of the filter ca"e
high head lo m"t be removed periodically 4ed
!itho"t coag"lation>flocc"lationK T"rbidity ho"ld al!ay be le than 2 3T4 !ith a m"ch lo!er average to prevent rapid clogging
Slo! Sand Filtration Mechanim $roto+oan
predator 7only effective for bacteria removal/ not vir" or proto+oan removal; &l"min"m 7nat"ral ticky coating; &ttachment to previo"ly removed particle 3o evidence of removal by biofilm
Typical $erformance of SSF Fed Cay"ga Lake Water i l o t c n # e " E l
1
t f n f e e " e l f h n t i n f i o g n n i o n 2.1 i t i c a a r m F e r 2.2
2
1
B 9 Time 7day;
7%aily ample;
Filter performance doen0t improve if the filter only receive ditilled !ater
$article #emoval by Si+e 1 control e l c t i t r n a e " 2.1 p l t f n f e e " e l f h n t i n f i o g n 2.21 n i o n i t i c a a r m F e r
9 mM a+ide
Effect of the Chryophyte What i the phyicalchemical mechanimG
2.221 2.
1
$article diameter 7m;
12
Techni,"e to 6ncreae $article &ttachment Efficiency Make
the particle tickier
The
techni,"e "ed in conventional !ater treatment plant
Control
coag"lant doe and other coag"lant aid 7cationic polymer;
Make
the filter media tickier
(iofilm Mytery
in lo! and filterG
ticky agent preent in "rface !ater that i imported into lo! and filterG
Cay"ga Lake Seton Etract Concentrate &cidify
particle from Cay"ga Lake
!ith 1 3 ICl
Centrif"ge Centrate
contain polymer
3e"trali+e
to form floc
Seton Etract &nalyi I discovered aluminum!
carbon 1D
Io! m"ch &l"min"m ho"ld be added
filterG
E# coli #emoval a a F"nction of Time and &l &pplication #ate 20 cm deep filter columns
3o E. coli detected mmol Al m B ×d
%$ pCA i proportional to acc"m"lated ma of &l"min"m in filter
Slo! Sand Filtration $rediction ρ p := 122 Ja
:= 12
kg
hr
+ := 122cm
(ro!nian 6nterception *ravity Total
9
m cm
T := B89N
dc
1222
A C p a l a v o m e r e l c i t r a $
122
:= 2.Bmm
α := 1 ε := 2.
12 2.1
1
12
$article %iameter 7µm;
122
Io! deep m"t a filter 7SSF; be to remove 88.8888 of bacteriaG &"me
α i 1 and d c i 2.B
mm/ J2 < 12 cm>hr D pC ( 1µm) pC * i HHHH B9 cm for pCA of D + i HHHHHHHHHHHHHHHH What
=
B.:28 for of 1 m
doe thi meanG
S"gget that the B2 cm deep eperimental filter !a operating at theoretical limit Typical SSF performance i 8 bacteria removal Only abo"t cm of the filter are doing anythingK
Iead Lo $rod"ced by &l"min"m
mmol Al m B ⋅ d
%$mmol Al mB
&l"min"m feed method &l"m
m"t be diolved "ntil it i blended !ith the main filter feed above the filter col"mn &l"m floc are ineffective at enhancing filter performance The diff"ion dilemma 7al"m microfloc !ill diff"e efficiently and be removed at the top of the filter; 122
A C pC d $e p p a l pC# d p a v o m pCg d p e r e pC d l c p i t r a $
( )
( )
( )
12
( )
1 21
1
12
$erformance %eterioration after &l feed topG Iypothee %ecay
!ith time Site are "ed "p Wahe o"t of filter #eearch 3ot
re"lt
yet clear !hich mechanim i reponible U f"rther teting re,"ired
Sticky Media v. Sticky $article Sticky
Media
$otentially
treat filter media at the beginning of each filter r"n
3o
need to add coag"lant to !ater for lo! t"rbidity !ater
Filter
!ill capt"re particle m"ch more efficiently
Sticky
$article
Eaier
to add coag"lant to !ater than to coat the filter media
The (ioSand Filter Cra+e $atented
'ne! idea) of lo! and filtration !itho"t flo! control and called it '(ioSand) Filter are being intalled aro"nd the !orld a $oint of 4e treatment device Cot i ome!here bet!een VB and V12 per ho"ehold 7V19>peron baed on proPect near Copan #"in/ Iond"ra; The per peron cot i comparable to the cot to b"ild centrali+ed treatment "ing the &g"aClara model
'(ioSand) $erformance
'(ioSand) $erformance $ore
vol"me i 1 Liter
Jol"me
of a b"cket i HHHHHHHHHHHH
Iighly
variable field performance even after initial ripening period
ield tests on " #T$ ater in the &'
Field $erformance of '(ioSand)
Table B pI/ t"rbidity and E. coli level in in the field $arameter Mean pI 7n hr
filtration rate 7thro"gh 5 m of media; E,"ivalent "rface loading < 12 m>day 4age of I#F for large cheme ha been limited d"e to high capital cot and operational problem in cleaning the filter.
#o"ghing Filter
Filtration thro"gh ro"ghing gravity filter at lo! filtration rate 71B- m>day; prod"ce !ater !ith lo! partic"late concentration/ !hich allo! for f"rther treatment in lo! and filter !itho"t the danger of olid overload. 6n large-cale hori+ontal-flo! filter plant/ the large pore enable particle to be mot efficiently tranported do!n!ard/ altho"gh particle tranport ca"e part of the agglomerated olid to move do!n to!ard the filter bottom. Th"/ the pore pace at the bottom tart to act a a l"dge torage bain/ and the ro"ghing filter need to be drained periodically. F"rther development of drainage method i needed to improve efficiency in thi area.
#o"ghing Filter
#o"ghing filter remove partic"late of colloidal i+e !itho"t addition of flocc"lant/ large olid torage capacity at lo! head lo/ and a imple technology. ("t there are only 11 article on the topic lited in
7ee article per year;
They have not devied a cleaning method that !ork
(ie comparison to floc)sed systems?
M"ltitage Filtration The
'Other) lo! tech option for comm"nitie "ing "rface !ater
4e
no coag"lant
*ravel
ro"ghing filter
$olihed Large 3o
!ith lo! and filter
capital cot for contr"ction
chemical cot
Labor
intenive operation
What i the tank area of a m"ltitage filtration
Concl"ion Many
different filtration technologie are available/ epecially for $O4 Filter are !ell "ited for taking clean !ater and making it cleaner. They are not able to treat very t"rbid "rface !ater $retreat "ing flocc"lation>edimentation 7&g"aClara; or ro"ghing filter 7high capital cot and maintenance problem;
Concl"ion Filter
co"ld remove particle more efficiently if the attachment HHHHHHHHH efficiency !ere increaed SSF remove particle by t!o mechanim $redation HHHHHHHHHHHH Sticky al"min"m polymer that coat the and HHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHHH Completely
We
at the mercy of the ra! !aterK
need to learn !hat i re,"ired to make &LL of the filter media 'ticky) in SSF and in #SF
#eference
T"fenkPi/ 3. and M. Elimelech 7B22;. Correlation e,"ation for predicting ingle-collector efficiency in phyicochemical filtration in at"rated poro" media. Environmental-Science-and-Technology *"7B; B8-9D. C"hing/ #. S. and %. F. La!ler 7188;. %epth Filtration F"ndamental 6nvetigation thro"gh Three-%imenional TraPectory &nalyi. Environmental Science and Technology 9B7B9; 9:89 -921. Tobiaon/ . E. and C. #. OXMelia 718;. $hyicochemical &pect of $article #emoval in %epth Filtration. o"rnal &merican Water Work &ociation 271B; -D. Rao/ N.-M./ M. T. Iabibian/ et al. 718:1;. Water and Wate Water Filtration Concept and &pplication. Environmental Science and Technology 711; 112. M.&. ElliottA/ C.E. Sta"ber/ F. Nokal/ N.#. Liang/ %.N. I"lage/ F.&. %i*iano/ M.%. Sobey. 7B22D; The operation/ flo! condition and microbial red"ction of an intermittently operated/ ho"ehold-cale lo! and filter
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