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Water Quality Assessment Model of the Mediterranean Sea Along Gaza- Palestine

Thesis Info

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Author

Zaqoot, Hossam Adel

Program

PhD

Institute

Mehran University of Engineering and Technology

City

Jamshoro

Province

Sindh

Country

Pakistan

Thesis Completing Year

2011

Thesis Completion Status

Completed

Subject

Applied Sciences

Language

English

Link

http://prr.hec.gov.pk/jspui/handle/123456789/1338

Added

2021-02-17 19:49:13

Modified

2024-03-24 20:25:49

ARI ID

1676727666581

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In view of the protection of Gaza coastal and marine environment from further deterioration and reverse the process from polluted to clean marine environment, it was necessary to analyse the seawater quality data and develop several artificial neural network (ANN) models to predict various water quality parameters. Hence, this study was undertaken with this objective. Even though there have been a few monitoring and evaluation literatures on the status of seawater pollution, however to the utmost of facts this work is the initial effort to use (ANN) technology for the prediction of seawater quality along Gaza coast. Additionally the land-based sources causing pollution along Gaza coastal waters have been assessed and also a management plan for Gaza coastal and marine environment protection proposed. All seawater quality monitoring data were inserted into Minitab statistical software and analysed by different tools including: min, max, mean, standard deviation and geometric mean. In addition, the Pearson correlation coefficient and paired sample t- test were used to perceive significant water quality differences at various sampling locations. The core objective of this work was to investigate whether it is possible to predict the next two weeks values of water quality parameters such as pH, electrical conductivity (EC), dissolved oxygen (DO), biological oxygen demand (BOD 5 ), Total kjeldahl nitrogen (TKN) and orthophosphate (Ortho-P). The data used was measured by several water quality monitoring programs in the Mediterranean Sea along Gaza. At the initial stage of the prediction of water quality variables, real water quality data along Gaza coast, over a period of four years beginning from 1997 to 2001, were collected from the Environment Quality Authority, the Environmental and Rural Research Centre-Islamic University of Gaza, Ministry of Health and some other organisations. The training and testing of the developed ANN assessment models was carried out using neural network toolbox in the MATLAB. Two types of feedforward networks have been used. They are Multilayer Perceptron (MLP) and Radial Basis Function (RBF) neural networks. xxiFour different MLP neural networks have been trained and developed with reference to water temperature, wind velocity and turbidity parameters to predict pH and EC fortnight’s values. MLP and RBF neural networks have been used for predicting the next fortnight’s dissolved oxygen concentrations. Both networks are trained and developed with reference to the five oceanographic variables including water temperature, wind velocity, turbidity, pH and conductivity. MLP neural network has also been trained to predict BOD 5 level. MLP and RBF neural networks have been trained with five parameters to predict nutrients (TKN and Ortho-P) level along Gaza coast. Prediction results prove that both types of networks are highly satisfactory for predicting water quality parameters in the Mediterranean Sea along Gaza coast. Results of the developed networks have also been compared with the statistical model and found that ANN predictions are better than the conventional methods. The human activities including: urbanisation in coastal areas, wastewater pollution, coastal activities, agricultural loads, industrial pollution, influence of fisheries and solid waste as well as debris exert pressure on the marine and coastal environment. All these are land-based sources causing pollution along Gaza coastal environment. In order to reduce the load of pollution in the coastal waters of Gaza, it is recommended that the Palestinian Environment Quality Authority (EQA) shall play a major and active role in implementing the Gaza coastal environmental management plan (GCEMP). Therefore, EQA shall prepare the short term and long term action plans through coordination with all the relevant stakeholders. It is hoped that ANN developed models and the proposed management plan will help in assisting the local authorities in developing plans that are necessary to minimise the sources that cause pollution along Gaza coastal waters.
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مولانا محمد سورتی

مولانا محمد سُورتی ؒ
پچھلے مہینہ کا سب سے اندوہناک علمی حادثہ مولانا محمد سورتی کی وفات ہے، مرحوم اس عہد کے مستثنیٰ دل و دماغ اور حافظہ کے صاحب علم تھے، جہاں تک میری اطلاع ہے اس وقت اتنا وسیع النظر، وسیع المطالعہ، کثیر الحافظہ عالم موجود نہیں، صرف و نحو، لغت و ادب و اخبار و انساب و رجال کے اس زمانہ میں در حقیقت وہ امام تھے، وہ چند ماہ سے مرض استسقا میں مبتلا تھے، علی گڑھ میں ان دنوں قیام تھا اور وہیں ۷؍ اگست کو بروز جمعہ وفات پائی۔
مرحوم کا اصلی وطن سورت (گجرات) تھا، وطن میں ابتدائی تعلیم پاکر یہ دلّی آئے اور رامپور میں مولانا محمد طیب صاحب مکی کا تلمذ حاصل کیا، میری ان کی پہلی ملاقات ۱۹۰۸؁ء میں ہوئی، جب مولانا طیب مکی رامپور چھوڑ کر دارالعلوم ندوہ لکھنؤ میں ادیب اول کے عہدہ پر فائز تھے، فاضل استاد کے ساتھ یہ لائق شاگرد بھی لکھنؤ وارد ہوا اور اس زمانہ سے لے کر اخیر تک ان کے ساتھ میری علمی رفاقت اور ذاتی دوستی کا سلسلہ قائم رہا، معارف بھی ان کے رشحات قلم سے کبھی کبھی مستفید ہوتا رہا ہے۔
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ایک زمانہ میں جامعہ ملیہ دہلی میں معلم رہے، پھر بنارس کے جامعہ رحمانیہ میں مدرس ہوئے، بعد کو بمبئی میں ایک اہلحدیث مدرسہ میں حدیث کا درس دینے لگے تھے، ٹونک کے مشہور کتب خانہ کی...

عصر حاضر اور اجماع

Ijmaa is the fourth source of Islamic law. It is the product of collective Ijthihad of Islamic jurists. This is one of the principal source of Islamic law and is based on the Qur'an and Sunna. It is in a way a kind of Ijthihad and can be termed as a collective Ijthihad. In modern day it can be exercised through parliament or a committee on Ijthihad. Its scope can be further widened for the Umma through an international council or congress of Islamic scholars.

Analysis of Metabolites from Healthy and Huanglongbing Infected Citrus Varieties of Pakistan

Citrus holds a prominent position in fruit’s world industry. Specifically, in Pakistan, citrus grown over 206,569 hectares with the gross annual production of 2.36 MT. Pakistan produced more than 30 different types of fruits, in which citrus is a leading fruit and constitutes 30% of total fruit production among all other fruits. More than 95% citrus fruits produced from the province Punjab and distributed through different value chains in domestic regions as well as in international fruit market. Pakistan citrus industry is a growing industry and dealing with many pre-harvest and post-harvest problems, which includes, bacterial and viral diseases, poor management and pest attack. Apart from all mentioned production problems, recent report according to Gulf Times stated that “Pakistan fetched more than $220mn through exporting 370,000 tons of citrus fruits to 58 different countries from December 2017 to May 2018, which increased the exporting rate up-to 14% from earlier period of exporting in 2016. It was also reported that 30,000 tons of Pakistani Mandarin exported to Indonesia last year, which is the biggest fruit market after Russia”. If we look on declining rate of citrus in Pakistan fruit industry, the major cause is of bacterial and viral diseases which covers the citrus tree in earlier ages and our poor management have yet no secure methods to overcome with these diseases in growing areas of Pakistan. Haunglongbing or Citrus Greening have major importance among all plant bacterial diseases which is responsible of declining production rate of citrus in Pakistan, as well as world widely. The main Protobectia (ɑ subdivision class), Candidatus Liberibecter is responsible for HLB disease, which mainly includes three different types: Candidatus Liberibecter asiaticus (CLas). Candidatus Liberibecter americanus (CLam) and Candidatus Liberibecter africanus (CLaf) according to dispersing of HLB to different countries. It is a gram negative, fastidious nature uncultured bacteria which grows in the phloem, sieve tubes elements of plant cells and generally transmitted through Psyllid, Diaphorina citri, which infested the bacterium mainly through grafting of citrus trees. The HLB bacterium moves unevenly in the midrib of leaves and distributed asymmetrical chlorosis on leaf cells which is the main symptom of this disease and mock to the zinc deficiency symptoms. It also affected the roots, bark (stem) and fruit (peel and pulp) of citrus fruits. The citrus fruit indicated green at the lower end and yellow underneath the peduncle after affecting this disease, with aborted seeds. Moreover, fruit flavor rapidly converted to bitter taste after infected to CLas. HLB mostly affecting the trees in 5-6 years age and covering all over the tree rapidly within a year. Most of the times, there are more than one bacterial and viral diseases also covers the citrus tree, i.e. CTV and citrus canker disease, which also show the symptoms similar to different nutrient deficiencies. Fifteen different types of citrus cultivars (healthy and HLB-affected) were selected for this study from Citrus Research Institute (CRI), Sargodha, Punjab, Pakistan. Citrus samples included, leaves and pulp and stored in 4°C container and transported to LCWU, Biotechnology Lab. After the confirmation of CLas-infection through conventional PCR, the citrus sample were Freeze dried (Lyophilized) for transporting to the United States. The level of infection in HLB-affected leaves samples were again reconfirmed at Microbiology Cell Sciences Department, USA, from the lyophilized leaf tissue (≤ 200 mg) through quantitative RT-PCR utilizing SYBR® Green and primer set LJ900 which produced an amplicon derived from the repeated copies of the prophage present within the Candidatus Liberibacter asiaticus (CLas) genome. Cycle threshold (Ct) values were determined and confirmed the healthy and infected samples. The range of Ct values for healthy to HLB-affected citrus samples ranged from 36.3 to no Ct detectable. For infected leaves, most copy number values were in the millions, with the highest being 4.50x106 (Ct=16.50). There were 3 exceptions ranging in copy number from 1.39x 103 (Ct=28.2) to 1.87x 105 (Ct=21.1). The HLB infection status was designated either positive or negative based on these results. After reconfirmation of HLB-infection in citrus samples by quantitative PCR, the first main analysis was the determination of the levels of zinc (Zn), phosphorous (P), and potassium (K) by inductively-coupled plasma mass spectrometry (ICP-MS). Pulp tissues contained lower levels of all three minerals regardless of the infection status. No significant change (Tukey’s t-test) was found in K levels associated with the HLB-affected leaves (p=0.7843) or pulp (p=0.0997). Phosphorous decreased 9% (p=0.0437) in leaves and increased 29% (p=0.0120) in pulp in HLB-affected samples compared to healthy. Zn showed a 31% (p<0.0001) decrease in infected leaves but no change in the pulp tissue (p=0.6728). These results explained the partitioning of Zn and P between leaves and fruit was differently affected by the HLB-infection status of the tree. However, no relationship between HLB infection status and K was observed. The next major part of this study was to determine the profile of vast range of targeted and untargeted metabolites from Global mass spectrometer analysis (LC-MS). And results indicated that there was a total of 13,752 features detected from all measurements of metabolites in leaves and fruit pulp (negative and positive ions) in the healthy and infected samples combined. Sixty five percent of the features were found in the negative ion-mode and 35% were noticed in positive ion-mode. The PLS-DA separations (known and unknown features) are highly significant for both negative and positive ions when leaf and pulp samples are combined; however, this separation is largely due to differences between leaves and pulp tissues. For the knowns, this conclusion is supported by the complete lack of separation between healthy and infected samples when the pulp is analyzed alone (negative ions p=0.92 and positive ions p=0.99). For leaves, there is a 52% probability that the separation is observed for the known negative ions; however, for the known positive ions, the probability that the separation is due to random features is 88% (p=0.88), similarly to the pulp values. For the unknown positive features, the PLS-DA separations of the leaf and pulp samples is largely based on the differences between pulp and leaves. In the case of the unknown negative features, the significance of the separations is better than those obtained with the positive ions. For unknown negative features in leaves, the probability that the model of separation may be random is 25% (p=0.25), while for the pulp samples, the probability for random separation is a 10% (p=0.10). Although the known positive ions in leaves is not useful (p=0.91), there is an approximately 50% chance that some of the known negative ions may contribute to the separation of healthy and HLB-infected samples. These both type of analysis (ICP-MS and LC-MS) gives complete range of profiles of metabolites and major macro/micro nutrients to future researchers in term of resorption of reallocation of minerals and metabolites with respect of Haunglongbing. Moreover, it gave more ground to targeted approach of unknown metabolites for future study. This is the first study in history of Pakistan which gives the metabolomic approaches of citrus cultivars infected with HLB to reader.