Kashmir's Fruit Growers Face Dual Threats: Trade Deal and Highway Blockades
Kashmir's fruit farmers are losing money because roads are closed and a new trade deal with the US might make it hard to sell their fruit.
#KashmirFruit, #TradeDeal, #RoadClosures, #EconomicLoss, #IndianAgriculture
https://newsletter.tf/kashmir-fruit-farmers-road-trade-loss/
Fruit farmers in Kashmir are facing big money problems. The main road to sell their fruit is closed for a long time because of bad weather. Also, a new trade deal with the United States might mean more fruit comes into the country, making it harder for local farmers to sell their own fruit.
#KashmirFruit, #TradeDeal, #RoadClosures, #EconomicLoss, #IndianAgriculture
https://newsletter.tf/kashmir-fruit-farmers-road-trade-loss/
## Thiên tai 2025 phá vỡ hàng loạt kỷ lục, gây thiệt hại 97.000 tỷ đồng
Năm 2025 ghi nhận là một trong những năm khắc nghiệt nhất về thiên tai tại Việt Nam với hàng loạt kỷ lục về mưa lớn, bão mạnh và lũ lụt trên diện rộng bị xô đổ. Tổng thiệt hại kinh tế ước tính lên tới 97.000 tỷ đồng, ảnh hưởng nghiêm trọng đến đời sống người dân và cơ sở hạ tầng các tỉnh thành.
#ThiênTai #BiếnĐổiKhíHậu #MưaBão #LũLụt #ThiệtHạiKinhTế #VietnamDisasters #ClimateChange #Floods #Storms #EconomicLoss
https://vi
Tin buồn từ Sông Cầu, Phú Yên: Trận lũ lụt lịch sử vừa qua đã khiến hơn 20 triệu con tôm hùm bị chết ngộp, gây thiệt hại nặng nề cho người nông dân. Nhiều hộ gia đình đối mặt với cảnh trắng tay ngay trước thềm Tết Nguyên Đán.
#TômHùm #SôngCầu #PhúYên #LũLụt #ThiênTai #NôngNghiệp #ThiệtHại
#Lobster #Vietnam #PhuYen #Flooding #NaturalDisaster #Agriculture #EconomicLoss
Fire at Bangladesh Airport Cargo Hub May Cause Over $1 Billion in Losses
A massive fire erupted in the logistics section of Bangladesh's main airport, damaging clothes, raw materials, fabrics, pharmaceuticals, and chemicals. It took 27 hours to put out, during which flights and airport operations were temporarily halted. Experts estimate the fire could cost the country m... [More info]
Hơn 45 tấn cá tầm chết do lũ ống gây tràn và vỡ các bể nuôi, thiệt hại lên tới 7,7 tỷ đồng. 🚨🐟 #cá_tầm #lũ_ống #thiet_hai #aquaculture #Vietnam #fishfarms #economicloss
https://vtcnews.vn/hon-45-tan-ca-tam-chet-do-lu-ong-thiet-hai-7-7-ty-dong-ar971508.html
Pakistan Suffers Rs50 Billion Loss Due To Traders' One-Day Strike
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#TradersStrike #PakistanEconomy #Rs50BillionLoss #OneDayStrike #TradeAndIndustry #PakistanBusiness #TradersProtest #PakistanNews #EconomicLoss
#TopClaps #newsposts #pakistannews
Floods are frequent hydro-meteorological hazards which cause losses in many parts of the world. In hilly and mountainous environments, floods often contain sediments which are derived from mass movements and soil erosion. The deposited sediments cause significant direct damage, and indirect costs of clean-up and sediment removal. The quantification of these sediment-related costs is still a major challenge and few multi-hazard risk studies take this into account. This research is an attempt to quantify sediment deposition caused by extreme weather events in tropical regions. The research was carried out on the heavily forested volcanic island of Dominica, which was impacted by Hurricane Maria in September 2017. The intense rainfall caused soil erosion, landslides, debris flows, and flash floods resulting in a massive amount of sediments being deposited in the river channels and alluvial fan, where most settlements are located. The overall damages and losses were approximately USD 1.3 billion, USD 92 million of which relates to the cost for removing sediments. The deposition height and extent were determined by calculating the difference in elevation using pre- and post-event Unmanned Aerial Vehicle (UAV) data and additional Light Detection and Raging (LiDAR) data. This provided deposition volumes of approximately 41 and 21 (103 m3) for the two study sites. For verification, the maximum flood level was simulated using trend interpolation of the flood margins and the Digital Terrain Model (DTM) was subtracted from it to obtain flooding depth, which indicates the maximum deposition height. The sediment deposition height was also measured in the field for a number of points for verification. The methods were applied in two sites and the results were compared. We investigated the strengths and weaknesses of direct sediment observations, and analyzed the uncertainty of sediment volume estimates by DTM/DSM differencing. The study concludes that the use of pre- and post-event UAV data in heavily vegetated tropical areas leads to a high level of uncertainty in the estimated volume of sediments.
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