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PMD forecasts dust and windstorms, thunderstorms across most parts of the country from June 11–13

العالم
Dawn
2026/06/10 - 13:38 517 مشاهدة
تحليل ذكي | AI Editorial Analysis

The Pakistan Meteorological Department (PMD) on Wednesday predicted dust and windstorms, rain and thunderstorms across most parts of the country this week from June 11–13, and warned the relevant auth...

A press release issued by the PMD said a western disturbance is likely to approach the upper parts of the country on June 11 and persist until June 13.

It added that moist currents from the Arabian Sea are also likely to penetrate the upper and central parts of the country from June 11.

هذا الخبر من Dawn. خبر يقدم أدوات ذكاء اصطناعي للتلخيص والترجمة والاستماع.

The Pakistan Meteorological Department (PMD) on Wednesday predicted dust and windstorms, rain and thunderstorms across most parts of the country this week from June 11–13, and warned the relevant authorities to remain “vigilant”.

A press release issued by the PMD said a western disturbance is likely to approach the upper parts of the country on June 11 and persist until June 13. It added that moist currents from the Arabian Sea are also likely to penetrate the upper and central parts of the country from June 11.

Scattered dust and windstorms, and rain and thunderstorms — along with isolated heavy falls and hail — are expected in Islamabad and Rawalpindi, Murree, Galliyat, Attock, Chakwal, Jhelum, Mandi Bahauddin, Gujrat, Gujranwala, Hafizabad, Wazirabad, Lahore, Sheikhupura, Sialkot, Narowal, Sahiwal, Jhang, Toba Tek Singh, Nankana Sahib, Chiniot, Faisalabad, Okara, Kasur, Khushab, Sargodha, Noor Pur Thal, Bhakkar, Layyah, Mianwali, Bahawalpur, Bahawalnagar, Dera Ghazi Khan, Multan, Khanewal, Lodhran, Muzaffargarh, Rajanpur, Rahim Yar Khan and Kot Addu from June 11–13, with occasional gaps.

In Khyber Pakhtunkhwa, similar conditions are expected in Dir, Chitral, Swat, Kohistan, Malakand, Bajaur, Shangla, Battagram, Buner, Kohat, Bannu, Dera Ismail Khan, Mohmand, Khyber, Waziristan, Orakzai, Mansehra, Abbottabad, Haripur, Peshawar, Mardan, Hangu and Kurram.

Scattered rain, wind and thunderstorms, with some hail, are also expected in Kashmir’s Neelum Valley, Muzaffarabad, Rawalakot, Poonch, Hattian, Bagh, Haveli, Sudhanoti, Kotli, Bhimber and Mirpur; and in Gilgit-Baltistan’s Diamer, Astore, Ghizer, Skardu, Hunza, Gilgit, Ghanche and Shigar.

Dust and windstorms, and rain and thunderstorms, are expected in the northeastern parts of Balochistan, specifically Zhob, Sherani, Ziarat, Qilla Saifullah, Barkhan and Dera Bugti. Dust and windstorms are also expected in upper Sindh’s Sukkur, Larkana, Jacobabad, Khairpur, Dadu, Ghotki, Kashmore, Shikarpur and Shaheed Benazirabad.

The PMD warned that strong winds, hail and lightning may damage weak structures such as solar panels, electric poles and billboards. It also warned of urban flooding caused by heavy rains in Rawalpindi, Islamabad, Gujranwala, Sialkot, Lahore and Faisalabad.

Further, it said landslides may occur in vulnerable areas of upper KP, Gilgit-Baltistan and Kashmir from June 11–13.

The statement advised farmers to manage their crops in line with prevailing weather conditions and urged tourists and travellers to exercise caution, advising them to avoid unnecessary travel during the forecast period.

“All concerned authorities are advised to remain ‘vigilant’ and take necessary measures to avoid any untoward situation during the forecast period,” it added.

In an advisory, the Provincial Disaster Management Authority (PDMA) of Punjab requested all district administrations and line departments to ensure sufficient round-the-clock staffing at District Emergency Operations Centres (DEOCs) for effective coordination, and to coordinate with the PDMA and other relevant departments to ensure a unified and prompt response.

Authorities have also been directed to deploy additional staff and resources to high-risk areas, and to ensure timely and accurate dissemination of safety information and evacuation plans via electronic and social media.

The PDMA also requested situation reports (SitReps) to regularly cover major developments, along with data collection and reporting for post-flood analysis and improvements.

The Motorway Police have been directed to ensure regular traffic advisories, timely updates on road conditions, and guidance on safe travel. Rescue 1122 has been directed to remain alert and pre-position search and rescue teams and necessary equipment.

المصدر: Dawn | Source: Dawn

ملاحظة تحريرية | Editorial Note: نُشر هذا المقال في الأصل بواسطة Dawn. خبر (Khabr) هي منصة إعلامية أردنية مرخّصة تعمل بالذكاء الاصطناعي. نضيف قيمة تحريرية من خلال: تحليل ذكي للأخبار، ملخصات تلقائية، رواية صوتية بالذكاء الاصطناعي، ترجمة متعددة اللغات، وتدقيق الحقائق. هدفنا جعل الأخبار أكثر وضوحاً وسهولةً للقارئ العربي.

This article was originally published by Dawn. Khabr is a licensed Jordanian AI-powered news platform (Registration #82086). We add editorial value through: AI-powered news analysis, automated summaries, AI audio narration, multi-language translation (Arabic, English, French, Turkish), and AI fact-checking. Our mission is to make news more accessible and understandable for Arabic-speaking audiences worldwide.

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المزيد عن العالم | More on World

هذا الخبر ضمن تغطية خبر لقسم العالم. نقدّم لك تحليلات ذكية وملخصات يومية لأهم الأخبار من مصادر موثوقة متعددة. المصدر: Dawn. يوجد 6 مقالات مرتبطة بهذا الموضوع.

This article is part of Khabr's coverage of World. We provide AI-powered analysis, summaries, and multi-source aggregation to keep you informed. Source: Dawn. Tags: dust storms, thunderstorms, forecast.

مقالات ذات صلة

خبر — منصة إخبارية ذكية | Khabr — AI-Powered News Platform

خبر هو أول مجمّع أخبار عربي يعمل بالذكاء الاصطناعي. نقدم تحليلات ذكية وملخصات تلقائية ورواية صوتية لكل خبر من أكثر من 700 مصدر موثوق. نضيف قيمة تحريرية فريدة من خلال أدوات الذكاء الاصطناعي التي تساعدك على فهم الأخبار بعمق أكبر.

Khabr is the first AI-powered Arabic news aggregator. We provide AI-generated editorial analysis, automated summaries, audio narration, and fact-checking for every article from 700+ trusted sources. Our platform adds unique editorial value through AI tools that help you understand the news more deeply.

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