<?xml version="1.0" encoding="utf-8"?><rdf:RDF xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns="http://purl.org/rss/1.0/" xmlns:dc="http://purl.org/dc/elements/1.1/"><channel rdf:about="http://www.drink-water-eng-sci-discuss.net/xml/rss1_0.xml"><title>DWESD - Latest Articles</title><link>http://www.drink-water-eng-sci-discuss.net/</link><description>Drinking Water Engineering and Science Discussions Latest Articles</description><items><rdf:Seq><rdf:li resource="http://www.drink-water-eng-sci-discuss.net/5/1/2012/" /><rdf:li resource="http://www.drink-water-eng-sci-discuss.net/4/151/2011/" /><rdf:li resource="http://www.drink-water-eng-sci-discuss.net/4/117/2011/" /><rdf:li resource="http://www.drink-water-eng-sci-discuss.net/4/85/2011/" /><rdf:li resource="http://www.drink-water-eng-sci-discuss.net/4/61/2011/" /><rdf:li resource="http://www.drink-water-eng-sci-discuss.net/4/39/2011/" /><rdf:li resource="http://www.drink-water-eng-sci-discuss.net/4/1/2011/" /><rdf:li resource="http://www.drink-water-eng-sci-discuss.net/3/251/2010/" /><rdf:li resource="http://www.drink-water-eng-sci-discuss.net/3/199/2010/" /><rdf:li resource="http://www.drink-water-eng-sci-discuss.net/3/177/2010/" /><rdf:li resource="http://www.drink-water-eng-sci-discuss.net/3/149/2010/" /><rdf:li resource="http://www.drink-water-eng-sci-discuss.net/3/133/2010/" /><rdf:li resource="http://www.drink-water-eng-sci-discuss.net/3/107/2010/" /><rdf:li resource="http://www.drink-water-eng-sci-discuss.net/3/65/2010/" /><rdf:li resource="http://www.drink-water-eng-sci-discuss.net/3/43/2010/" /><rdf:li resource="http://www.drink-water-eng-sci-discuss.net/3/25/2010/" /><rdf:li resource="http://www.drink-water-eng-sci-discuss.net/3/1/2010/" /><rdf:li resource="http://www.drink-water-eng-sci-discuss.net/2/279/2009/" /><rdf:li resource="http://www.drink-water-eng-sci-discuss.net/2/259/2009/" /><rdf:li resource="http://www.drink-water-eng-sci-discuss.net/2/231/2009/" /></rdf:Seq></items></channel><item rdf:about="http://www.drink-water-eng-sci-discuss.net/5/1/2012/"><title>Status of organochlorine pesticides in Ganga river basin: anthropogenic or glacial?</title><link>http://www.drink-water-eng-sci-discuss.net/5/1/2012/</link><description>&lt;b&gt;Status of organochlorine pesticides in Ganga river basin: anthropogenic or glacial?&lt;/b&gt;&lt;br /&gt;&lt;br /&gt;Drinking Water Engineering and Science Discussions, 5, 1-30, 2012&lt;br /&gt;&lt;br /&gt;Author(s): P. K. Mutiyar and A. K. Mittal&lt;br /&gt;&lt;br /&gt;This study reports the occurrences of organochlorine pesticides (OCPs) in
Ganga river basin covering 3 states, i.e. Uttarakhand, Uttar Pradesh and
Bihar covering 72% of total river stretch consisting of 82 sampling
points covered through 3 sampling campaigns. Samples were monitored for 16
major OCPs, including HCHs, Endosulfan group, Aldrin group, DDTs and
Heptachlor group pesticides.
&lt;br&gt;&lt;br&gt;
The results showed the ng l&lt;sup&gt;−1&lt;/sup&gt; levels contamination of OCPs in all the
stretches sampled during these campaigns. The results also revealed that
different type of OCPs were dominating in different stretches in accordance
to the land use practices and agricultural runoff generated from those
stretches. HCHs were most frequently detected (detection rate = 75%) in
mountainous stretch; Endosulfans were prominent in UP (detection rate = 75%)
stretch while BR stretch Aldrin group pesticides were paramount
(detection rate = 34%). Source apportionment of the OCP's revealed that
in the upper reaches of the Ganges i.e. in the state of Uttarakhand, the
glacial melt may be responsible for the presence of OCP's. In the lower
reaches, intensive agriculture and industrial activities may be
significantly contributing these pesticides. The sample from tributaries of
Ganga river were found to contain higher number of pesticides as well as
higher concentrations. The maximum total pesticide in an individual sample
from these sampling campaigns was found in Son river sample (0.17 μg l&lt;sup&gt;−1&lt;/sup&gt;,
Location: Koilwar, Bhojpur, Bihar).</description><dc:date>2012-01-30T00:00:00+01:00</dc:date></item><item rdf:about="http://www.drink-water-eng-sci-discuss.net/4/151/2011/"><title>A new model for the simplification of particle counting data</title><link>http://www.drink-water-eng-sci-discuss.net/4/151/2011/</link><description>&lt;b&gt;A new model for the simplification of particle counting data&lt;/b&gt;&lt;br /&gt;&lt;br /&gt;Drinking Water Engineering and Science Discussions, 4, 151-172, 2011&lt;br /&gt;&lt;br /&gt;Author(s): M. F. Fadal, J. Haarhoff, and S. Marais&lt;br /&gt;&lt;br /&gt;This paper proposes a three-parameter mathematical model to describe the
particle size distribution in a water sample. The proposed model offers some
conceptual advantages over two other models reported on previously, and also
provides a better fit to the particle counting data obtained from 321 water
samples taken over three years at a large South Africa water utility. By
using the data from raw water samples taken from a moderately turbid, large
surface impoundment, as well as samples from the same water after treatment,
typical ranges of the model parameters are presented for both raw and
treated water. Once calibrated, the model allows the calculation of total
particle number and volumes over any randomly selected size interval of
interest.</description><dc:date>2011-12-07T00:00:00+01:00</dc:date></item><item rdf:about="http://www.drink-water-eng-sci-discuss.net/4/117/2011/"><title>Effect of fouling on removal of trace organic compounds by nanofiltration</title><link>http://www.drink-water-eng-sci-discuss.net/4/117/2011/</link><description>&lt;b&gt;Effect of fouling on removal of trace organic compounds by nanofiltration&lt;/b&gt;&lt;br /&gt;&lt;br /&gt;Drinking Water Engineering and Science Discussions, 4, 117-149, 2011&lt;br /&gt;&lt;br /&gt;Author(s): S. Hajibabania, A. Verliefde, J. E. Drewes, L. D. Nghiem, J. McDonald, S. Khan, and P. Le-Clech&lt;br /&gt;&lt;br /&gt;The fate of chemical of concern is not yet fully understood during treatment
of impaired waters. The aim of this paper is to assess the impact of
different organic-based fouling layers on the removal of a large range of
trace organics. Both model and real water samples (mixed with trace organic
contaminants at environmental concentration of 2 μg l&lt;sup&gt;−1&lt;/sup&gt;) were used to
simulate fouling in NF under controlled environment. The new and fouled
membranes were systematically characterised for surface charge,
hydrophobicity and roughness. It was observed that fouling generally reduced
the membrane surface charge;  however, the alterations of the membrane
hydrophobicity and surface roughness were dependent on the foulants
composition. The rejection of charged trace organics was observed to be
improved due to the increased electrostatic repulsion by fouled membranes
and the adsorption of the trace organic chemicals onto organic matters. On
the other hand, the removal of nonionic compounds decreased when fouling
occurred, due to the presence of cake enhanced concentration polarization.
The fouling layer structure was found to play an important role in the
rejection of the trace organic compounds.</description><dc:date>2011-09-09T00:00:00+02:00</dc:date></item><item rdf:about="http://www.drink-water-eng-sci-discuss.net/4/85/2011/"><title>Status of organochlorine pesticides in the drinking water well-field located in the Delhi region of the flood plains of river Yamuna</title><link>http://www.drink-water-eng-sci-discuss.net/4/85/2011/</link><description>&lt;b&gt;Status of organochlorine pesticides in the drinking water well-field located in the Delhi region of the flood plains of river Yamuna&lt;/b&gt;&lt;br /&gt;&lt;br /&gt;Drinking Water Engineering and Science Discussions, 4, 85-115, 2011&lt;br /&gt;&lt;br /&gt;Author(s): P. K. Mutiyar, A. K. Mittal, and A. Pekdeger&lt;br /&gt;&lt;br /&gt;This study presents the occurrence of pesticides in a well-field located in
Yamuna flood plain of Delhi region. Ground water sampling campaigns were
carried out during pre-monsoon and post-monsoon periods covering 21
bore-wells and 5 Ranney wells. Major 17 organochlorine pesticides (OCP's)
along with other water quality parameters were monitored during this period.
Pesticide concentrations were determined using GC- ECD, while GC-MS was used
for confirmatory purposes. OCP's groups like &amp;sum;HCH, &amp;sum;DDT,
endosulfan and aldrin were observed in this well-field. Concentration of
OCPs from Ranney wells exceeded the limit (1 μg l&lt;sup&gt;−1&lt;/sup&gt;)
prescribed by the Bureau of Indian Standards (BIS) in pre-monsoon season, though OCP levels in
bore wells were within BIS limits. However, these levels were very close to
the World Health Organisation (WHO) and European Union (EU) limit of for
pesticides (0.5 μg l&lt;sup&gt;−1&lt;/sup&gt;) in many samples. Bore well produced better
quality water compared to the water from Ranney wells. Although, the level
of OCP's was slightly lower than prescribed limit of national regulatory
agency but such low doses may cause long-term damage to human
populations if such water is consumed for longer durations. At low doses
OCP's acts as endocrine disrupting agent and cause metabolic disorders in
local population.</description><dc:date>2011-08-12T00:00:00+02:00</dc:date></item><item rdf:about="http://www.drink-water-eng-sci-discuss.net/4/61/2011/"><title>Experimental investigation of turbulent particle radial transport processes in DWDS using optical tomography</title><link>http://www.drink-water-eng-sci-discuss.net/4/61/2011/</link><description>&lt;b&gt;Experimental investigation of turbulent particle radial transport processes in DWDS using optical tomography&lt;/b&gt;&lt;br /&gt;&lt;br /&gt;Drinking Water Engineering and Science Discussions, 4, 61-83, 2011&lt;br /&gt;&lt;br /&gt;Author(s): R. Floris and P. van Thienen&lt;br /&gt;&lt;br /&gt;Several transport mechanisms govern the cross-sectional particle
distribution in fully developed turbulent flow in a pipe. These transport
mechanisms affect particle load deposition as well as particle resuspension,
which are identified as principal protagonists in the build-up of potential
discolouration risk in drinking water distribution systems (DWDS). Both are
to a large degree controlled by particle size and flow conditions. However,
so far, these relationships are not completely understood in the context of
DWDS.
&lt;br&gt;&lt;br&gt;
In this research we have attempted to identify under which conditions
particles suspended in water are transported towards the pipe wall, which
generate favourable conditions for deposition. Experimental results are
reported and then compared, qualitatively and quantitatively, to the
theoretical predictions in the regime transport map for turbulent flow
proposed by van Thienen et al. (2011a). The research was conducted by
completing a series of experiments in a laboratory test facility with
different hydraulic regimes and different particle size ranges. A newly
developed optical tomography measurement system was used in order to produce
cross-sectional images of particle concentration in water flowing inside a
pipe. The experimental results allowed us to identify flow conditions and
particles sizes under which gravitational settling and turbophoresis
dominated the radial particle transport. These findings show a good
correspondence between experimental data and theoretical predictions on the
occurrence of turbophoresis and lead to a better understanding of the
processes that increase the potential discolouration risk in DWDS.</description><dc:date>2011-07-06T00:00:00+02:00</dc:date></item><item rdf:about="http://www.drink-water-eng-sci-discuss.net/4/39/2011/"><title>Application of optical tomography in the study of discolouration in drinking water distribution systems</title><link>http://www.drink-water-eng-sci-discuss.net/4/39/2011/</link><description>&lt;b&gt;Application of optical tomography in the study of discolouration in drinking water distribution systems&lt;/b&gt;&lt;br /&gt;&lt;br /&gt;Drinking Water Engineering and Science Discussions, 4, 39-59, 2011&lt;br /&gt;&lt;br /&gt;Author(s): P. van Thienen, R. Floris, and S. Meijering&lt;br /&gt;&lt;br /&gt;Theories describing the turbulent deposition of particles from aerosols have
recently been applied to drinking water distribution. In order to allow the
study of these processes in a quantitative way and internally observe a cloud
of suspended particles in a pipe, we have developed an optical tomography
technique and measuring device using low cost electronic components
specifically for this application. The mathematical methodology and the
electronic device are described in this paper, and tests of both the
mathematical approach and the actual device are presented. We conclude that
the described methodology may provide a valuable tool for the study of
processes related to drinking water discolouration in the lab.</description><dc:date>2011-06-27T00:00:00+02:00</dc:date></item><item rdf:about="http://www.drink-water-eng-sci-discuss.net/4/1/2011/"><title>CLIPS based decision support system for Water Distribution Networks</title><link>http://www.drink-water-eng-sci-discuss.net/4/1/2011/</link><description>&lt;b&gt;CLIPS based decision support system for Water Distribution Networks&lt;/b&gt;&lt;br /&gt;&lt;br /&gt;Drinking Water Engineering and Science Discussions, 4, 1-38, 2011&lt;br /&gt;&lt;br /&gt;Author(s): S. Kulshrestha and R. Khosa&lt;br /&gt;&lt;br /&gt;The Water Distribution Networks (WDN) are managed by experts, who,
over the years of their association and responsibility, acquire an
empirical knowledge of the system and, characteristically, this
knowledge remains largely confined to their respective personal
domains. In the event of any new information and/or emergence of a
new problem, these experts apply simple heuristics to design
corrective measures and cognitively seek to predict network
performance. The human interference leads to inefficient utilization
of resources and unfair distribution. Researchers over the past,
have tried to address to the problem  and they have applied Artificial Intelligence (AI) tool to automate
 the decision process and encode the heuristic rules. The application of AI tool in
 the field of WDN management is meager. This paper describes a component of an ongoing research initiative
to investigate the potential application of artificial intelligence
package CLIPS (short for C Language Integrated Production System,
developed at NASA/Johnson Space Center) in the development of an
expert decision support system for management of a water
distribution network. The system aims to meet several concerns of
modern water utility managers as it attempts to formalize
operational and management experiences, and provides a frame work
for assisting water utility managers even in the absence of expert
personnel.</description><dc:date>2011-03-07T00:00:00+01:00</dc:date></item><item rdf:about="http://www.drink-water-eng-sci-discuss.net/3/251/2010/"><title>Groundwater contamination due to lead (Pb) migrating from Richmond municipal landfill into Matsheumhlope aquifer: evaluation of a model using field observations</title><link>http://www.drink-water-eng-sci-discuss.net/3/251/2010/</link><description>&lt;b&gt;Groundwater contamination due to lead (Pb) migrating from Richmond municipal landfill into Matsheumhlope aquifer: evaluation of a model using field observations&lt;/b&gt;&lt;br /&gt;&lt;br /&gt;Drinking Water Engineering and Science Discussions, 3, 251-269, 2010&lt;br /&gt;&lt;br /&gt;Author(s): M. Kubare, C. Mutsvangwa, and C. Masuku&lt;br /&gt;&lt;br /&gt;Disposal of solid waste in landfills is an economic option for many
municipalities in developing countries where alternatives like incineration
and composting are costly. However, groundwater pollution from the leachate
generated within the landfill and migrating through the bottom liner
material into the underlying groundwater aquifers remains a major public
health concern. In our study, we evaluated the application of a mathematical
model to determine the aerial extent of unacceptable groundwater
contamination due to lead migrating from the Richmond landfill leachate into
the underlying Matsheumhlope unconfined aquifer. A one-dimensional
advection-dispersion model was applied to predict the down-gradient
migration of lead into the aquifer. Linear sorption and first-order decay
were considered as the dominant contaminant sink mechanisms for lead. Lead
concentrations in the monitoring wells at the landfill site were used as the
source term. The lead migration from the landfill was determined by water
quality sampling from boreholes situated down-gradient of the landfill. The
model simulations gave a good fit of the field results. The safe distance
for potable water abstraction was determined to be 400 m, and the model
simulations showed that the aerial extent of the pollution will increase
with time. The model is most sensitive to the partition coefficient,
hydraulic conductivity and longitudinal dispersivity, whilst it exhibits no
sensitivity to the lead decay coefficient.</description><dc:date>2010-10-18T00:00:00+02:00</dc:date></item><item rdf:about="http://www.drink-water-eng-sci-discuss.net/3/199/2010/"><title>Water supply project feasibilities in fringe areas of Kolkata, India</title><link>http://www.drink-water-eng-sci-discuss.net/3/199/2010/</link><description>&lt;b&gt;Water supply project feasibilities in fringe areas of Kolkata, India&lt;/b&gt;&lt;br /&gt;&lt;br /&gt;Drinking Water Engineering and Science Discussions, 3, 199-249, 2010&lt;br /&gt;&lt;br /&gt;Author(s): K. Dutta Roy, B. Thakur, T. S. Konar, and S. N. Chakrabarty&lt;br /&gt;&lt;br /&gt;Water supply management to the peri-urban areas of the developing world is a
complex task due to migration, infrastructure, paucity of fund etc. A
cost-benefit methodology particularly suitable for the peri-urban areas has
been developed for the city of Kolkata, India. The costs are estimated based
on a neural network estimate. The water quality of the area is estimated
from samples and a water quality index has been prepared. A questionnaire
survey in the area has been conducted for relevant information like income,
awareness and willingness to pay for safe drinking water. A factor analysis
has been conducted for distinguishing the important factors of the survey
and subsequent multiple regressions have been conducted for finding the
relationships for the willingness to pay. A system dynamics model has been
conducted to estimate the trend of increase of willingness to pay with the
urbanizations in the peri-urban areas. A cost benefit analysis with the
impact of time value of money has been executed. The risk and uncertainty of
the project is investigated by Monte Carlos simulation and tornado diagrams.
It has been found that the projects that are normally rejected in standard
cost benefit analysis would be accepted if the impacts of urbanizations in
the peri-urban areas are considered.</description><dc:date>2010-09-22T00:00:00+02:00</dc:date></item><item rdf:about="http://www.drink-water-eng-sci-discuss.net/3/177/2010/"><title>Metals releases and disinfection byproduct formation in domestic wells following shock chlorination</title><link>http://www.drink-water-eng-sci-discuss.net/3/177/2010/</link><description>&lt;b&gt;Metals releases and disinfection byproduct formation in domestic wells following shock chlorination&lt;/b&gt;&lt;br /&gt;&lt;br /&gt;Drinking Water Engineering and Science Discussions, 3, 177-198, 2010&lt;br /&gt;&lt;br /&gt;Author(s): M. Walker and J. Newman&lt;br /&gt;&lt;br /&gt;Shock chlorination is used for rapid disinfection to control pathogens and
nuisance bacteria in domestic wells. A typical shock chlorination procedure
involves adding sodium hypochlorite in liquid bleach solutions to achieve
concentrations of free chlorine of up to 200 ppm in the standing water of a
well. The change in pH and oxidation potential may bring trace metals from
aquifer materials into solution and chlorine may react with dissolved
organic carbon to form disinfection byproducts. We carried out experiments
with four wells to observe and determine the persistence of increased
concentrations of metals and disinfection byproducts. Water samples from
shock chlorinated wells were analyzed for Pb, Cu, As, radionuclides and
disinfection byproducts (haloacetic acids and trihalomethanes), immediately
prior to treatment, after sufficient contact time with chlorine had elapsed,
and at intervals determined by the number of casing volumes purged, for up
to four times the well casing volume.

&lt;br&gt;&lt;br&gt;
Elevated concentrations of lead and copper dissipated in proportion to free
chlorine (measured semi-quantitatively) during the purging process.
Trihalomethanes and haloacetic acids were formed in wells during
disinfection. In one of two wells tested, disinfection byproducts dissipated
in proportion to free chlorine during purging. However, one well retained
disinfection byproducts and free chlorine after four well volumes had been
purged. Although metals returned to background concentrations in this well,
disinfection byproducts remained elevated, though below the MCL, likely
because purging volume was insufficient. Simple chlorine test strips may be
a useful method for indicating when purging is adequate to remove metals and
disinfection by-products mobilized and formed by shock chlorination.</description><dc:date>2010-06-04T00:00:00+02:00</dc:date></item><item rdf:about="http://www.drink-water-eng-sci-discuss.net/3/149/2010/"><title>Understanding and managing large sensor networks</title><link>http://www.drink-water-eng-sci-discuss.net/3/149/2010/</link><description>&lt;b&gt;Understanding and managing large sensor networks&lt;/b&gt;&lt;br /&gt;&lt;br /&gt;Drinking Water Engineering and Science Discussions, 3, 149-175, 2010&lt;br /&gt;&lt;br /&gt;Author(s): D. D. Ediriweera and I. W. Marshall&lt;br /&gt;&lt;br /&gt;The water supply industry is trialing a range of sensor network
designs for monitoring distributed infrastructure. The paper investigates
the performance of such a sensor system deployed to monitor a water
distribution network. The study reveals up to one fifth of the data intended
to be collected either to be missing or erroneous. Findings reinforce the
importance of in-depth design consideration of all aspects of large scale
sensor systems, and the necessity for expertise on every detail of the
system, or access to a rule set which embeds this knowledge allowing
non-specialists to make near optimal choices. First steps towards defining
such a rule set is presented here with supporting evidence.</description><dc:date>2010-04-12T00:00:00+02:00</dc:date></item><item rdf:about="http://www.drink-water-eng-sci-discuss.net/3/133/2010/"><title>Negative pressures in full-scale distribution system: field investigation, modelling, estimation of intrusion volumes and risk for public health</title><link>http://www.drink-water-eng-sci-discuss.net/3/133/2010/</link><description>&lt;b&gt;Negative pressures in full-scale distribution system: field investigation, modelling, estimation of intrusion volumes and risk for public health&lt;/b&gt;&lt;br /&gt;&lt;br /&gt;Drinking Water Engineering and Science Discussions, 3, 133-148, 2010&lt;br /&gt;&lt;br /&gt;Author(s): M. C. Besner, G. Ebacher, B. S. Jung, B. Karney, J. Lavoie, P. Payment, and M. Prévost&lt;br /&gt;&lt;br /&gt;Various investigations encompassing microbial characterization of external
sources of contamination (soil and trenchwater surrounding water mains,
flooded air-valve vaults), field pressure monitoring, and hydraulic and
transient analyses were conducted in the same distribution system where two
epidemiological studies showing an increase in gastrointestinal illness for
people drinking tap water were conducted in the 1990's. Interesting results
include the detection of microorganisms indicators of fecal contamination in
all external sources investigated but at a higher frequency in the water
from flooded air-valve vaults, and the recording of 18 negative pressure
events in the distribution system during a 17-month monitoring period.
Transient analysis of this large and complex distribution system was
challenging and highlighted the need to consider field pressure data in the
process.</description><dc:date>2010-03-12T00:00:00+01:00</dc:date></item><item rdf:about="http://www.drink-water-eng-sci-discuss.net/3/107/2010/"><title>Effects of ozonation and temperature on biodegradation of natural organic matter in biological granular activated carbon filters</title><link>http://www.drink-water-eng-sci-discuss.net/3/107/2010/</link><description>&lt;b&gt;Effects of ozonation and temperature on biodegradation of natural organic matter in biological granular activated carbon filters&lt;/b&gt;&lt;br /&gt;&lt;br /&gt;Drinking Water Engineering and Science Discussions, 3, 107-132, 2010&lt;br /&gt;&lt;br /&gt;Author(s): L. T. J. van der Aa, L. C. Rietveld, and J. C. van Dijk&lt;br /&gt;&lt;br /&gt;Four pilot (biological) granular activated carbon ((B)GAC) filters were
operated to quantify the effects of ozonation and water temperature on the
biodegradation of natural organic matter (NOM) in (B)GAC filters. Removal of
dissolved organic carbon (DOC), assimilable organic carbon (AOC) and oxygen
and the production of carbon dioxide were taken as indicators for NOM
biodegradation. Ozonation stimulated DOC and AOC removal in the BGAC
filters, but had no significant effect on oxygen removal and carbon dioxide
production. The temperature had no significant effect on DOC and AOC
removal, while oxygen removal and carbon dioxide production increased with
increasing temperature. Multivariate linear regression was used to quantify
these relations. In summer the ratio between oxygen consumption and DOC
removal exceeded the theoretical maximum of 2.5 g O&lt;sub&gt;2&lt;/sub&gt;&amp;middot;g C&lt;sup&gt;&amp;minus;1&lt;/sup&gt;
and the ratio between carbon dioxide production and DOC removal exceeded the
theoretical maximum of 3.7 g CO&lt;sub&gt;2&lt;/sub&gt;&amp;middot;g C&lt;sup&gt;&amp;minus;1&lt;/sup&gt;. Bioregeneration of
large NOM molecules could explain this excesses and the non-correlation
between DOC and AOC removal and oxygen removal and carbon dioxide
production. However bioregeneration of large NOM molecules was considered
not likely to happen, due to sequestration.</description><dc:date>2010-02-01T00:00:00+01:00</dc:date></item><item rdf:about="http://www.drink-water-eng-sci-discuss.net/3/65/2010/"><title>Rapid evaluation of water supply project feasibility in Kolkata, India</title><link>http://www.drink-water-eng-sci-discuss.net/3/65/2010/</link><description>&lt;b&gt;Rapid evaluation of water supply project feasibility in Kolkata, India&lt;/b&gt;&lt;br /&gt;&lt;br /&gt;Drinking Water Engineering and Science Discussions, 3, 65-105, 2010&lt;br /&gt;&lt;br /&gt;Author(s): K. Dutta Roy, B. Thakur, T. S. Konar, and S. N. Chakrabarty&lt;br /&gt;&lt;br /&gt;Mega cities in developing countries are mostly dependent on external funding
for improving the civic infrastructures like water supply. International and
sometimes national agencies stipulate financial justifications for
infrastructure funding. Expansion of drinking water network with external
funding therefore requires explicit economic estimates. A methodology
suitable for local condition has been developed in this study. Relevant
field data were collected for estimating the cost of supply. The artificial
neural network technique has been used for cost estimate. The willingness to
pay survey has been used for estimating the benefits. Cost and benefit have
been compared with consideration of time value of money. The risk and
uncertainty have been investigated by Monte Carlo's simulation and
sensitivity analysis. The results in this case indicated that consumers were
willing to pay for supply of drinking water. It has been also found that
supply up to 20 km from the treatment plant is economical after which new
plants should be considered. The study would help to plan for economically
optimal improvement of water supply. It could be also used for estimating
the water tariff structure for the city.</description><dc:date>2010-01-22T00:00:00+01:00</dc:date></item><item rdf:about="http://www.drink-water-eng-sci-discuss.net/3/43/2010/"><title>MUWS (Microbiology in Urban Water Systems) – an interdisciplinary approach to study microbial communities in urban water systems</title><link>http://www.drink-water-eng-sci-discuss.net/3/43/2010/</link><description>&lt;b&gt;MUWS (Microbiology in Urban Water Systems) – an interdisciplinary approach to study microbial communities in urban water systems&lt;/b&gt;&lt;br /&gt;&lt;br /&gt;Drinking Water Engineering and Science Discussions, 3, 43-64, 2010&lt;br /&gt;&lt;br /&gt;Author(s): P. Deines, R. Sekar, H. S. Jensen, S. Tait, J. B. Boxall, A. M. Osborn, and C. A. Biggs&lt;br /&gt;&lt;br /&gt;&lt;b&gt;M&lt;/b&gt;icrobiology in &lt;b&gt;U&lt;/b&gt;rban &lt;b&gt;W&lt;/b&gt;ater &lt;b&gt;S&lt;/b&gt;ystems
(MUWS) is an integrated project, which aims to characterize the
microorganisms found in both potable water distribution systems and sewer
networks. These large infrastructure systems have a major impact on our
quality of life, and despite the importance of these systems as major
components of the water cycle, little is known about their microbial
ecology. Potable water distribution systems are large, highly interconnected
and dynamic, and difficult to control. Sewer systems are also large and
subject to time varying inputs and demands. Their performance also faces
increasing loading due to increasing urbanization and longer-term
environmental changes. Therefore, understanding the link between microbial
ecology and any potential impacts on short or long-term engineering
performance is important. By combining the strengths and research expertise
of civil-, biochemical engineers and molecular microbial ecologists, we aim
to link the abundance and diversity of microorganisms to physical and
engineering variables so that novel insights into the ecology of
microorganisms within both water distribution systems and sewer networks can
be explored. By presenting the details of this multidisciplinary approach,
and the principals behind the molecular microbiological methods and
techniques that we use, this paper will demonstrate the potential of an
integrated approach to better understand urban water system function and so
meet future challenges.</description><dc:date>2010-01-22T00:00:00+01:00</dc:date></item><item rdf:about="http://www.drink-water-eng-sci-discuss.net/3/25/2010/"><title>I-WARP: individual water main renewal planner</title><link>http://www.drink-water-eng-sci-discuss.net/3/25/2010/</link><description>&lt;b&gt;I-WARP: individual water main renewal planner&lt;/b&gt;&lt;br /&gt;&lt;br /&gt;Drinking Water Engineering and Science Discussions, 3, 25-41, 2010&lt;br /&gt;&lt;br /&gt;Author(s): Y. Kleiner and B. Rajani&lt;br /&gt;&lt;br /&gt;I-WARP is based upon a nonhomogeneous Poisson approach to model breakage
rates in individual water mains. The structural deterioration of water mains
and their subsequent failure are affected by many factors, both static
(e.g., pipe material, pipe size, age (vintage), soil type) and dynamic
(e.g., climate, cathodic protection, pressure zone changes). I-WARP allows
for the consideration of both static and dynamic factors in the statistical
analysis of historical breakage patterns. This paper describes the
mathematical approach and demonstrates its application with the help of a
case study. The research project within which I-WARP was developed, was
jointly funded by the National Research Council of Canada (NRC), and the
Water Research foundation (formerly known as the American Water Works
Association Research Foundation – AwwaRF) and supported by water utilities
from USA and Canada.</description><dc:date>2010-01-13T00:00:00+01:00</dc:date></item><item rdf:about="http://www.drink-water-eng-sci-discuss.net/3/1/2010/"><title>A bottom-up approach of stochastic demand allocation in water quality modelling</title><link>http://www.drink-water-eng-sci-discuss.net/3/1/2010/</link><description>&lt;b&gt;A bottom-up approach of stochastic demand allocation in water quality modelling&lt;/b&gt;&lt;br /&gt;&lt;br /&gt;Drinking Water Engineering and Science Discussions, 3, 1-24, 2010&lt;br /&gt;&lt;br /&gt;Author(s): E. J. M. Blokker, J. H. G. Vreeburg, H. Beverloo, M. Klein Arfman, and J. C. van Dijk&lt;br /&gt;&lt;br /&gt;An &quot;all pipes&quot; hydraulic model of a DMA-sized drinking water
distribution system was constructed with two types of demand allocations.
One is constructed with the conventional top-down approach, i.e. a demand
multiplier pattern from the booster station is allocated to all demand nodes
with a correction factor to account for the average water demand on that
node. The other is constructed with a bottom-up approach of demand
allocation, i.e., each individual home is represented by one demand node
with its own stochastic water demand pattern.
&lt;br&gt;&lt;br&gt;
The stochastic water demand patterns are constructed with an end-use model
on a per second basis and per individual home. The flow entering the test
area was measured and a tracer test with sodium chloride was performed to
measure travel times. The two models were evaluated on the predicted sum of
demands and travel times, compared with what was measured in the test area.
&lt;br&gt;&lt;br&gt;
The new bottom-up approach performs at least as well as the conventional
top-down approach with respect to total demand and travel times, without the
need for any flow measurements or calibration measurements. The bottom-up
approach leads to a stochastic method of hydraulic modelling and gives
insight into the variability of travel times as an added feature beyond the
conventional way of modelling.</description><dc:date>2010-01-04T00:00:00+01:00</dc:date></item><item rdf:about="http://www.drink-water-eng-sci-discuss.net/2/279/2009/"><title>Online modelling of water distribution systems: a UK case study</title><link>http://www.drink-water-eng-sci-discuss.net/2/279/2009/</link><description>&lt;b&gt;Online modelling of water distribution systems: a UK case study&lt;/b&gt;&lt;br /&gt;&lt;br /&gt;Drinking Water Engineering and Science Discussions, 2, 279-294, 2009&lt;br /&gt;&lt;br /&gt;Author(s): J. Machell, S. R. Mounce, and J. B. Boxall&lt;br /&gt;&lt;br /&gt;Hydraulic simulation models of water distribution networks are routinely
used for operational investigations and network design purposes. However,
their full potential is often never realised because, in the majority of
cases, they have been calibrated with data collected manually from the field
during a single historic time period and, as such, reflect the network
operational conditions that were prevalent at that time, and they are then
applied as part of a reactive, desktop investigation. In order to use a
hydraulic model to assist proactive distribution network management its
element asset information must be up to date and it should be able to access
current network information to drive simulations. Historically this advance
has been restricted by the high cost of collecting and transferring the
necessary field measurements. However, recent innovation and cost reductions
associated with data transfer is resulting in collection of data from
increasing numbers of sensors in water supply systems, and automatic
transfer of the data to point of use. This means engineers potentially have
access to a constant stream of current network data that enables a new era
of &quot;online&quot; modelling that can be used to continually assess standards of
service compliance for pressure and reduce the impact of network events,
such as mains bursts, on customers. A case study is presented here that
shows how an online modelling system can give timely warning of changes from
normal network operation, providing capacity to minimise customer impact.</description><dc:date>2009-12-23T00:00:00+01:00</dc:date></item><item rdf:about="http://www.drink-water-eng-sci-discuss.net/2/259/2009/"><title>Fluorescence spectroscopy as a tool for determination of organic matter removal efficiency at water treatment works</title><link>http://www.drink-water-eng-sci-discuss.net/2/259/2009/</link><description>&lt;b&gt;Fluorescence spectroscopy as a tool for determination of organic matter removal efficiency at water treatment works&lt;/b&gt;&lt;br /&gt;&lt;br /&gt;Drinking Water Engineering and Science Discussions, 2, 259-278, 2009&lt;br /&gt;&lt;br /&gt;Author(s): M. Z. Bieroza, J. Bridgeman, and A. Baker&lt;br /&gt;&lt;br /&gt;Organic matter (OM) in drinking water treatment is a common
impediment responsible for increased coagulant and disinfectant dosages,
formation of carcinogenic disinfection-by products, and microbial re-growth
in distribution system. The inherent heterogeneity of OM implies the
utilization of advanced analytical techniques for its characterization and
assessment of removal efficiency. Here, the application of simple
fluorescence excitation-emission technique to OM characterization in
drinking water treatment is presented. The fluorescence data of raw and
clarified water was obtained from 16 drinking water treatment works. The
reduction in fulvic-like fluorescence was found to significantly correlate
with OM removal measured with total organic carbon (TOC). Fluorescence
properties, fulvic- and tryptophan-like regions, were found to discriminate
OM fractions of different removal efficiencies.

&lt;br&gt;&lt;br&gt;
The results obtained in the study show that fluorescence spectroscopy
provides a rapid and accurate characterization and quantification of OM
fractions and indication of their treatability in conventional water
treatment.</description><dc:date>2009-12-23T00:00:00+01:00</dc:date></item><item rdf:about="http://www.drink-water-eng-sci-discuss.net/2/231/2009/"><title>NOM characterization and removal at six Southern African water treatment plants</title><link>http://www.drink-water-eng-sci-discuss.net/2/231/2009/</link><description>&lt;b&gt;NOM characterization and removal at six Southern African water treatment plants&lt;/b&gt;&lt;br /&gt;&lt;br /&gt;Drinking Water Engineering and Science Discussions, 2, 231-257, 2009&lt;br /&gt;&lt;br /&gt;Author(s): J. Haarhoff, M. Kubare, B. Mamba, R. Krause, T. Nkambule, B. Matsebula, and J. Menge&lt;br /&gt;&lt;br /&gt;Organic pollution is a major concern during drinking water treatment. Major
challenges attributed to organic pollution include the proliferation of
pathogenic micro-organisms, prevalence of toxic and physiologically
disruptive organic micropollutants, and quality deterioration in water
distribution systems. A major component of organic pollution is natural
organic matter (NOM). The operational mechanisms of most unit processes are
well understood. However, their interaction with NOM is still the subject of
scientific research. This paper takes the form of a metastudy to capture
some of the experiences with NOM monitoring and analysis at a number of
Southern African Water Treatment Plants. It is written from the perspective
of practical process selection, to try and coax some pointers from the
available data for the design of more detailed pilot work. NOM was tracked
at six water treatment plants using dissolved organic carbon (DOC)
measurements. Fractionation of the DOC based on biodegradability and
molecular weight distribution was done at a water treatment plant in
Namibia. A third fractionation technique using ion exchange resins was used
to assess the impact of ozonation on DOC. DOC measurements alone did not
give much insight into NOM evolution through the treatment train. The more
detailed characterization techniques showed that different unit processes
preferentially remove different NOM fractions. Therefore these techniques
provide better information for process design and optimisation than the DOC
measurement which is routinely done during full scale operation at these
water treatment plants. Further work will focus on streamlining and
improving the reproducibility of selected fractionation techniques,
characterization of NOM from different water sources, and synthesis of the
results into a systematic, practical guideline for process design and
optimisation.</description><dc:date>2009-11-10T00:00:00+01:00</dc:date></item></rdf:RDF>
