El Niño and Its Consequences in Iran According to Ahmad Vazifeh
Environment

El Niño and Its Consequences in Iran According to Ahmad Vazifeh

منبع تصویر: irna.ir

By 2 min Read time 58,586

El Niño is a climatic phenomenon that can have significant impacts on the climate and weather of various regions around the world, including Iran. In recent weeks, with increasing attention to the activation of El Niño, concerns about its effects on the country's weather conditions have grown.

Characteristics of El Niño

El Niño refers to the warming of the surface waters of the central and eastern Pacific Ocean, which can lead to changes in weather patterns and precipitation. This phenomenon typically occurs every few years and its effects are particularly noticeable in tropical and subtropical regions. In this context, Ahmad Vazifeh, the head of the National Climate and Drought Crisis Management Center of the Meteorological Organization, has explained the characteristics of this phenomenon and its effects on Iran's weather conditions.

Consequences of El Niño in Iran

Ahmad Vazifeh pointed out that the activation of El Niño could lead to heavy rainfall and storms in Iran. These rains could cause flooding in some areas and lead to drought in others. Especially in the autumn and winter seasons, the likelihood of these weather changes increases. Vazifeh added: "According to forecasting patterns, there is a possibility of heavy rainfall in the northern and western regions of the country, which could damage infrastructure."

These weather changes can create many challenges for agriculture and the country's water resources. Considering the patterns of precipitation and temperature, farmers need to make necessary plans to protect their crops. Additionally, responsible agencies must prepare to address crises and natural disasters resulting from this phenomenon.

As a result, timely attention and preparedness against the effects of El Niño can help reduce damages and losses. However, there remains a need for further research to better understand this phenomenon and make more accurate predictions.

Source: irna.ir