权益分类	功能权益	普通用户	{{item.name}}会员
{{category.name}}	{{benefitItem.name}}

Hydrological Evaluation of Extreme Dryness Hazard for Large Scale Wildfire

大规模野火极端干燥危害的水文评估

基本信息

批准号：
20H02248
负责人：
峠嘉哉
金额：
$ 11.32万
依托单位：
Kyoto University (2022-2023)Tohoku University (2020-2021)
依托单位国家：
日本
项目类别：
Grant-in-Aid for Scientific Research (B)
财政年份：
2020
资助国家：
日本
起止时间：
2020-04-01 至 2024-03-31
项目状态：
已结题

项目摘要

本研究は，大規模林野火災を対象として極端気象災害としての乾燥害を水文学的に評価することを目的とする．国内の林野火災の生起状況の統計分析を実施し，火災跡地の調査を実施した．日本国内における林野火災生起状況・消防力の時空間的な特徴を調査した．国内では林野火災は長期的な減少傾向にあるが，現在も年間1000件が生じている．消防力は全国的に整備されているが，消火水源や消火時間には地域的特徴があると考えられる．そこで，統計資料に基づく統計分析を都道府県別に実施した．現地調査では，2021年西宮林野火災を対象とした樹幹火傷の広域観測について広域に分析した．延焼形態が主に地表火であったことを示した．2017年尾崎半島林野火災跡地では，現地調査結果に基づく衛星リモートセンシングの利用可能性を検討し，樹冠火の生じた領域ではLandsatの光学センサでも検出可能である一方で，地表火のみが生じた領域では検出が困難であることを示した．火災・豪雨複合災害の被災地として，2017年尾崎半島林野火災跡地における2019年台風19号豪雨による被災状況の分析を行った．火災後豪雨前に当たる2018年10月と，火災後豪雨後に当たる2020年3月におけるUAV観測に基づき，多時期UAV観測による詳細な地表面変化を抽出した．地表面の高度差・法線ベクトルの変化を捉えるなど，被災状況の理解につなげた．全球で林野火災指標の変化を調査するため統計分析を実行した．気象データから推定される林野火災指標を複数選定し，トレンド分析や変化点分析を実施した．その結果，変化の時空間的な特徴を示した．

In this study, wildfires in large-scale model forests are characterized by a statistical analysis of the occurrence of forest wildfires in China. Statistical analysis of the occurrence of wildfires in China The fire area is under fire. Japan's domestic forest wildfires have special training facilities in time and space. Domestic forest wildfires have long-term exposure to fire, and now there are 1000 fire accidents this year. Fire power equipment, fire fighting equipment, fire extinguishing water sources, fire fighting water sources, fire extinguishing areas, fire fighting equipment, fire fighting equipment, fire fighting, fire fighting, fire fighting Based on the statistical analysis of the data, the local government is not responsible for the implementation of the area. the local forest wildfire is in the west in 2021, and the fire in the west of the country in 2021 is like a fire in the west of the country. In the end of 2017, the surface fire of the main body of the forest, the surface fire, the fire The results show that the possibility of the use of the possibility of the use of the satellite satellite system is very important, and that the Landsat optical system in the field is likely to be affected, and that the surface fire in the field is difficult to detect. The fire and torrential rain are combined to cause damage to the ground. At the end of 2017, the heavy rain weather on the 19th of Taiwan in 2019 was analyzed and analyzed. After the fire, the heavy rain before the fire occurred in October 2018. After the fire, the heavy rain occurred in October 2018. After the heavy rain, when the UAV was released in March 2020, many times of the UAV climate was released from the surface of the earth. The height difference method between the ground surface and the earth's surface was used to capture the weather conditions. It is understood by the situation that it is not true. Global forest wildfire refers to the statistical analysis of forest wildfire statistics and statistical analysis. for example, the statistical analysis of forest wildfire indicators is based on the selection of complex numbers, and the results of environmental analysis are analyzed. The results show that the characteristics of time and space are changed.