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<title>UET Publications</title>
<link href="http://digitalarchive.uet.edu.pk/handle/123456789/56" rel="alternate"/>
<subtitle/>
<id>http://digitalarchive.uet.edu.pk/handle/123456789/56</id>
<updated>2026-04-20T14:10:44Z</updated>
<dc:date>2026-04-20T14:10:44Z</dc:date>
<entry>
<title>Assessment ofSustainable Groundwater Extraction</title>
<link href="http://digitalarchive.uet.edu.pk/handle/123456789/340" rel="alternate"/>
<author>
<name>Abdul, Ghan</name>
</author>
<id>http://digitalarchive.uet.edu.pk/handle/123456789/340</id>
<updated>2021-02-10T14:01:16Z</updated>
<published>2019-09-01T00:00:00Z</published>
<summary type="text">Assessment ofSustainable Groundwater Extraction
Abdul, Ghan
Pak. J. Engg. Appl. Sci. Vol. 24January, 2019(p.1–10)1Assessment ofSustainable Groundwater Extraction Rate for Quetta City Using MODFLOWAbdul Ghani1, Zulfiqar Ali Chaudary2,Habib-ur-Rehman2, Aftab H. Azhar3, Muhammad Masood*41.Construction and WorksDepartment, Govt. of Baluchistan, Quetta, Pakistan2.Department of Civil Engineering, University of Engineering and Technology, Lahore, Pakistan3.Directorate ofHydrology Mangla Dam Org. WAPDA. Mangla, Pakistan4.Centre of Excellence inWater Resources Engineering, UET, Lahore, PakistanCorresponding Author:   E-mail: chmasoud@gmail.comAbstractQuetta  is  the largest population center  in Baluchistan  province.  Its  population  entirely  depends  upon the groundwater. The increasing population of the city and unplanned use have depleted water table in the recent decades. USGS groundwater flow model MODFLOW (MODFLOW Pro) was applied for the Quetta  city  to  simulate  the  behavior  of  aquifer  under  stresses.  The  model  solves  partial  differential groundwater  flow  governing  equation  by  finite  difference  method.  The  data  regarding  groundwater levels,  tube  wells,  pumping  rates  and  aquifer  parameters  etc.  were  collected  from  Water  and  Power Development Authority (WAPDA). The data showedthat the abstraction rate for the city has increased from  32.25MGPD  to  57.76  MGPD  over20  years.  The  model  was  calibrated  and  validated  for  the available  data.    Data  from  year  1995  to  1999  was  used  for  calibration  and  from  2000  to  2005  for validation.  The  water  balance  showedthat 20%  of the total  precipitation  was  ultimately  going to  the groundwater as recharge. It was observed from the model results that the water table under Quetta city has  declined  at  the  average  rate  of  0.91  m/year  since  1995  to  2014.  The  Vermont  Storm  Water Management (VSWM) method of volume recharge was used to calculate the fraction of recharge that is retained by the imperviousness caused by the urbanization of the city. This fraction comes out to be 0.6 MGPD  to  2.9  MGPD  per  year,  depending  upon  the  amount  of  precipitation  and  the  amount  of imperviousness for the same year. The water budget calculated by the model showedthat the average recharge  per year  in the  study  period  was  37.04 MGD  and  the average  abstraction  from  the aquifer was  84.20  MGD,  so  there  was  annual  deficit  of  47.11MGD.  The  inflow  through  the  boundaries  was increasing  with  the  passage  of  time  due  to  fall  of  headinside  the  model  area,  whereas  the outflow through  the  boundaries  was  almost  zero  during  thestudy  period  because  of higher  heads  outside the model  boundary.  The  model  was  then  used  to  predict  different  future  scenarios  by  giving  the  same average  recharge  rates  and  varying  abstraction  rates,  in  order  to  predict  the  future  behaviorof  the aquifer
</summary>
<dc:date>2019-09-01T00:00:00Z</dc:date>
</entry>
<entry>
<title>Cloning in Popular Server Side Technologies using Agile Development</title>
<link href="http://digitalarchive.uet.edu.pk/handle/123456789/317" rel="alternate"/>
<author>
<name>Khan, Aisha</name>
</author>
<id>http://digitalarchive.uet.edu.pk/handle/123456789/317</id>
<updated>2021-02-10T13:59:57Z</updated>
<published>2018-01-01T00:00:00Z</published>
<summary type="text">Cloning in Popular Server Side Technologies using Agile Development
Khan, Aisha
Several types of clones exist in software systems due to the copy-paste activity, developer limitations, language&#13;
restrictions, and software development lifecycle. This work studies the issues of cloning in server side&#13;
technologies for web applications. We studied 11 different reasonable size (average over 22K LOC) web&#13;
development projects coded in C#, Java, Ruby-on-Rails (ROR), and PHP based on the same set of&#13;
requirements. We identified and analyzed simple and structural clones present in these systems in order to&#13;
compare the different technologies in terms of number of clones, clone size, clone coverage, reasons behind&#13;
creation of clones, and the ratio of refactorable and non-refactorable clones. Our study focused only on the&#13;
base languages of these server side technologies. Our analyses show that C# has the highest number of clones&#13;
and ROR has the lowest. C# also has the highest and ROR has the lowest percentages of refactorable clones.&#13;
PHP has the highest clone coverage and ROR has the lowest. Average clone size for all projects ranges from&#13;
49.8 to 77.2 tokens. In terms of clone size, there are no significant differences across projects in the same&#13;
technology. The project size, project architecture, and developer approach dictate the percentage of clones&#13;
present in a software project. The use of frameworks and design patterns helps control generation of clones.
</summary>
<dc:date>2018-01-01T00:00:00Z</dc:date>
</entry>
<entry>
<title>Modelling of Swelling Parameters  and Associated Characteristics  Based on Index Properties of Expansive Soils</title>
<link href="http://digitalarchive.uet.edu.pk/handle/123456789/304" rel="alternate"/>
<author>
<name>J. Israr, K. Farooq</name>
</author>
<id>http://digitalarchive.uet.edu.pk/handle/123456789/304</id>
<updated>2021-02-10T13:59:41Z</updated>
<published>2014-01-01T00:00:00Z</published>
<summary type="text">Modelling of Swelling Parameters  and Associated Characteristics  Based on Index Properties of Expansive Soils
J. Israr, K. Farooq
Presence of swelling soils under the foundations of&#13;
 civil engineering structures particularly lightly &#13;
loaded structures has caused serious damages around the globe due to their differential up heaving. &#13;
In  this  paper,  based  on  the  results  of  swell  tests  on  bentonite  mixed  clay,  correlations  for  predicting  &#13;
the  swelling  parameters  (i.e.,  swell  potential  and  swell  pressure)  have  been  proposed.  Mixing  of  &#13;
bentonite  into  low  swelling  clay  has  imparted  significant  variations  in  its  index  properties  including  &#13;
activity  and  plasticity  index  as  well  as  in  its  swell  potential  and  swell  pressure  values.    Mixing  of  &#13;
bentonite from 0 % to 55% into lean clay (CL) varies its placity index value from 18 to 150 resulting &#13;
into  variation  of  its  activity  from  0.62  to  1.87.  For  the  same  range  of  bentonite  addition,  the  swell  &#13;
potential and swell pressure values vary from 2.62% to 12.16% and 94 kPa to 928 kPa, respectively. &#13;
Based  on  multiple  linear  regression  analysis  of  swell  and  index  property  test  data,  correlations  &#13;
between  swelling  parameters,  activity  and  remolding  moisture  content  for  expansive  soils  have  been  &#13;
developed. Experimental data of twenty six (26) swelling soils procured from various sites in Pakistan &#13;
have  been  used  to  validate  the  proposed  correlati&#13;
ons.  These  correlations  have  predicted  the  swell  &#13;
potential  and  swell  pressure  of  these  soils  within  accuracy  of  +&#13;
10%  and  +&#13;
5%,  respectively,  in  &#13;
comparison  with  their  experimentally  determined  values.  A  comparison  of  these  predictions  with  &#13;
couple of well-known published empirical equations has also been made.
</summary>
<dc:date>2014-01-01T00:00:00Z</dc:date>
</entry>
<entry>
<title>Numerical Modeling of Dengue Disease with Incubation Period of Virus</title>
<link href="http://digitalarchive.uet.edu.pk/handle/123456789/301" rel="alternate"/>
<author>
<name>Rafiq, M.</name>
</author>
<author>
<name>Ahmad, M. O.</name>
</author>
<id>http://digitalarchive.uet.edu.pk/handle/123456789/301</id>
<updated>2021-02-10T13:59:41Z</updated>
<published>2015-07-01T00:00:00Z</published>
<summary type="text">Numerical Modeling of Dengue Disease with Incubation Period of Virus
Rafiq, M.; Ahmad, M. O.
</summary>
<dc:date>2015-07-01T00:00:00Z</dc:date>
</entry>
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