تقدير جودة المياه على طول نهر دجلة، العراق: نهج جديد باستخدام خوارزمية البحث الجاذبي والشبكات العصبية الاصطناعية
محتوى المقالة الرئيسي
الملخص
تعتبر جودة مياه الشرب من بين القضايا الأكثر إلحاحًا على مستوى العالم. وقد تم التعرف على هذه القضية على أنها تحدٍ كبير للاستخدامات الصناعية والزراعية، فضلاً عن الحفاظ على جودة المياه ضمن المستويات الموصى بها للشرب. كانت الغاية من هذه الدراسة هي التنبؤ بجودة مياه الشرب على طول نهر دجلة (العراق). تم جمع 575 عينة من تسع محطات واستخدامها في النمذجة. تم تصنيف جودة المياه وفقًا لتوصيات منظمة الصحة العالمية (WHO) باستخدام الطريقة الحسابية المعتمدة عمومًا، وهي مؤشر جودة المياه (WQI). استنادًا إلى تركيزات أحد عشر معلمة (BOD، Ca، Cl، EC، HCO3، K، Mg، Na، NO3، pH، SO4، وTDS)، تم حساب مؤشر جودة المياه لجميع العينات. أظهرت النتائج أن جودة المياه تتغير وفقًا لظروف العينات أيضًا. في هذه الدراسة، تم تطوير نموذج تنبؤي جديد يستخدم خوارزمية البحث الجاذبي (GSA) كأداة تحسين هيوريستية للتنبؤ بمؤشر جودة المياه في المنطقة المدروسة. أظهر تقييم النموذج أن النهج القائم على GSA يتمتع باستقرار استثنائي (المتوسط = 1.04، الانحراف المعياري = 0.109، معامل الاختلاف = 10.48%)، مما يجعله مثاليًا للأداء المتسق. بينما أظهرت النماذج الأخرى دقة أعلى، إلا أنها أظهرت أيضًا تباينًا أكبر في نتائجها، مما يضع نموذج GSA كخيار مفضل في السيناريوهات التي تعطي الأولوية للاستقرار والموثوقية في التنبؤات.
تفاصيل المقالة
القسم
كيفية الاقتباس
المراجع
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