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DO,BOD Water Quality Modelling for al Kabeer alshemaly Rver Using QUAL2K

نمذجة مؤشري نوعية المياه السطحية (DO,BOD) لنهر الكبير الشمالي باستخدام نموذج QUAL2K

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 Publication date 2013
and research's language is العربية
 Created by Shamra Editor




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The research aims to assess the water quality of Alkaber Alshemaly River through field and laboratory study included identifying each of the following variables: dissolved oxygen (DO), carbonic biochemical oxygen demand(CBOD), and the river temperature, electrical conductivity (Cond). We have also modeled two important water-quality variables (DO and BOD) using QUAL2K river and stream surface water-quality model. The studied part of the river is an area located between 16 October dam and Alegnsa, where we have five sampling sites. The field and laboratory study showed increase in D.O values to reach the highest values in the months of March, April, January and February, and the lowest values were recorded in the months of July, August, September in all sampling sites. As a final result all D.O values in all locations were higher than the minimum allowable 5 mg/l. For CBOD5 the highest values were recorded in the months of June, July and August, and the lowest values were recorded in the months of March, December, and January at all of the sites studied. In the case of D.O and CBOD, the research showed a good correspondence between the model results and field values in the months of March, January, and November, but the correspondence was relatively less in August. In general, the study showed the possibility to use the QUAL2K model to simulate rivers-water quality in Syria.


Artificial intelligence review:
Research summary
يهدف البحث إلى تقييم نوعية مياه نهر الكبير الشمالي من خلال دراسة حقلية ومخبرية شملت تحديد المتغيرات التالية: الأوكسجين المنحل (DO)، الاحتياج البيوكيميائي الكربوني للأوكسجين (CBOD)، درجة حرارة مياه النهر، والناقلية الكهربائية. تم استخدام نموذج QUAL2K لنمذجة جودة مياه النهر، حيث تم دراسة خمسة مواقع للاعتيان. أظهرت الدراسة الحقلية والمخبرية ارتفاع قيم الأوكسجين المنحل في أشهر معينة وانخفاضها في أشهر أخرى. كما أظهرت الدراسة توافقاً جيداً بين نتائج النموذج والقياسات الحقلية في بعض الأشهر، مما يشير إلى إمكانية تطبيق هذا النموذج لنمذجة نوعية مياه الأنهار في سوريا. البحث يوصي بتحسين نوعية مياه النهر من خلال معالجة مياه الصرف الصحي قبل تصريفها في النهر ودراسة تأثير مياه معاصر الزيتون على نوعية المياه.
Critical review
تعتبر الدراسة خطوة مهمة في تقييم نوعية مياه نهر الكبير الشمالي، إلا أن هناك بعض النقاط التي يمكن تحسينها. أولاً، لم تأخذ الدراسة في الاعتبار تأثير النباتات المائية بشكل كامل في عملية النمذجة، مما قد يؤثر على دقة النتائج. ثانياً، لم يتم نمذجة بعض المصادر النقطية واللانقطية لمياه الصرف، والتي يمكن أن تكون لها تأثيرات كبيرة على نوعية المياه. ثالثاً، الدراسة تركزت على جزء معين من النهر ولم تشمل المنطقة الممتدة من بعد اليغنصة حتى المصب، مما يحد من شمولية النتائج. أخيراً، كان من الأفضل تقديم توصيات أكثر تفصيلاً حول كيفية تحسين نوعية المياه بناءً على النتائج المستخلصة.
Questions related to the research
  1. ما هي المتغيرات التي تم دراستها في البحث لتقييم نوعية مياه نهر الكبير الشمالي؟

    تم دراسة الأوكسجين المنحل (DO)، الاحتياج البيوكيميائي الكربوني للأوكسجين (CBOD)، درجة حرارة مياه النهر، والناقلية الكهربائية.

  2. ما هو النموذج المستخدم في البحث لنمذجة جودة مياه النهر؟

    تم استخدام نموذج QUAL2K لنمذجة جودة مياه النهر.

  3. ما هي التوصيات التي قدمها البحث لتحسين نوعية مياه النهر؟

    أوصى البحث بتحسين نوعية مياه النهر من خلال معالجة مياه الصرف الصحي قبل تصريفها في النهر، ودراسة تأثير مياه معاصر الزيتون على نوعية المياه، ونمذجة المنطقة الممتدة من بعد اليغنصة حتى المصب.

  4. ما هي الفترة الزمنية التي شملتها الدراسة الحقلية والمخبرية؟

    استمرت الدراسة الحقلية والمخبرية لمدة عام من آذار 2007 حتى شباط 2008.


References used
Chapra, S. C. Surface water-quality modeling. McGraw-Hill, New York, 1997
Zhang, R. ; Qian, X.; Li, H.; Yuan, X.; and Ye, R. Selection of optimal river water quality improvement programs using QUAL2K: A case study of Taihu Lake Basin, China. Vol.431,Issue.8, Auguet 2012, p.278-285
Cho, J.H. ; Ha, S.R. Parameter optimization of the QUAL2K model for a multiplereach river using an algorithm influence coefficient. Vol.408, March 2010, p.1985- 1991
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