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东南亚出现致命洪灾,南泰国至少13人遇难,约80万户受淹并影响橡胶与棕榈油产区;马来西亚半岛超过1.6万人被迫撤离;越南中部死亡人数达90人。美国气候预测中心指出,截至11月23日受灾区降雨量已显著高于正常值,且下周仍将持续偏湿,菲律宾亦因多次台风而持续受冲击。泰国宋卡府合艾受灾最重,军方动员飞机、卡车与船舰救援并分配抽水设备与物资,逾4000名马来西亚旅客滞留当地并预计本周多班旅游行程取消。

越南政府称四省洪灾造成超过13兆越南盾(4.93亿美元)经济损失,超过1000户住宅被毁或受损,超过8万公顷稻作与其他作物报废,并有逾330万头家畜与家禽死亡或被冲走;咖啡主产区得乐省收割延宕。马来西亚邻近的吉兰丹州同样遭暴雨淹没。这些区域的土壤已高度饱和,使后续降雨更易引发洪灾并放大基础设施与农业损害风险。

灾情也影响区域运输与旅游,合艾国际机场的滞留人数增加,部分市区与商业设施被洪水切断。泰国总理因应状况取消前往马来西亚的行程以监督救灾行动。各国救援与恢复工作正在扩大,受灾区面临基础设施破坏、农损扩大与后续降雨威胁交织的复合压力,显示季风期降雨强度较往年更高。

Deadly floods have hit Southeast Asia, with southern Thailand reporting at least 13 deaths and roughly 800,000 households inundated, alongside damage to rubber and palm-oil regions. More than 16,000 people have been displaced in Peninsular Malaysia, while Central Vietnam has recorded 90 fatalities. The US Climate Prediction Center reports significantly above-normal rainfall through Nov. 23 and forecasts wetter-than-average conditions into next week, amplifying risks across already saturated regions, including typhoon-stricken Philippines. Hat Yai in Thailand’s Songkhla province is the worst hit, with military aircraft, trucks, and vessels deployed, and over 4,000 Malaysian tourists stranded as travel cancellations escalate.

Vietnam estimates economic losses above 13 trillion dong ($493 million) across four provinces, with more than 1,000 homes destroyed or damaged, over 80,000 hectares of crops ruined, and more than 3.3 million livestock and poultry lost. Flooding has delayed harvests in Dak Lak, the nation’s largest coffee-producing province. Malaysia’s Kelantan state has also been swamped by torrential rain. Saturated soil across affected zones increases the likelihood of further flooding and exacerbates agricultural and infrastructure damage.

Transport and tourism disruptions continue, with Hat Yai International Airport seeing rising numbers of stranded travelers and commercial areas cut off. Thailand’s prime minister canceled a planned Malaysia visit to oversee relief operations. Recovery efforts are expanding across the region, where infrastructure destruction, escalating crop losses, and continuing heavy rainfall combine to create compounding stress during an unusually intense monsoon period.

2025-11-25 (Tuesday) · 844c2ec1864094e16473c64eed3e9c149ee5009e

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