prediction the river flow discharge values are important in the surface water resources management. find an appropriate model to accurately predictionof this parameter is one of the most important ways to simulation and prediction. in this study three anfis, svm and gp models were evaluated and compared to modeling the monthly flow discharge of nazloochi river in tapik hydrometric station that ...

In this paper, we present an application of evolved neural networks using a real coded genetic algorithm for simulations of monthly groundwater levels in a coastal aquifer located in the Shabestar Plain, Iran. After initializing the model with groundwater elevations observed at a given time, the developed hybrid genetic algorithm-back propagation (GA-BP) should be able to reproduce groundwater ...

The identification method in the CurveExpert-1.40 software environment revealed asymmetric wavelets of changes average monthly temperature New Delhi from 1931 to 2021. maximum increment for 80 years 5.1°C was March 2010. An analysis wave patterns dynamics up 2110 carried out. For forecasting, formulas were adopted containing four components, among which second component is critical heat India. ...

Bu çalışmada Cizre ilçesinde aylık ve yıllık ortalama sıcaklıklarda yaşanan eğilimlerin analiz edilmesi amaçlanmıştır. Çalışmada ilçesi Meteoroloji istasyonunun 1963-2021 yılları arasını kapsayan 59 sıcaklık verileri kullanılarak eğilimler (pozitif ya da negatif) belirlenmiştir. Cizre’nin çalışma alanı olarak belirlenmesinin nedeni Türkiye’de sıcaklıkların en yüksek olduğu alanlardan biri olmas...