Tạp chí Khoa học Biến đổi khí hậu最新文献

THE ASSESSMENTS OF WIND CHARACTERISTICS AT THIEN NGA - HAI AU FIELD AREA FOR OIL EXPLOITATION 海南油田采油区风特征评价

Tạp chí Khoa học Biến đổi khí hậu Pub Date : 2023-09-30 DOI: 10.55659/2525-2496/27.85948

None Pham Thi Thanh Nga, None Vu Van Thang, None Ta Huu Chinh, None Nguyen Lam Anh, None Bui Trong Han

引用次数: 0

BUILDING A REAL-TIME INFORMATION AND FLASH FLOODS, LANDSLIDES EARLY WARNING SYSTEM IN MOUNTAINOUS AND MIDLAND AREAS OF VIET NAM 在越南山区和中部地区建立实时信息和山洪、山体滑坡预警系统

Tạp chí Khoa học Biến đổi khí hậu Pub Date : 2023-09-30 DOI: 10.55659/2525-2496/27.85960

None Trinh Thu Phuong, None Nguyen Tien Kien, None Luong Huu Dung, None Luong Phuong Linh

{"title":"BUILDING A REAL-TIME INFORMATION AND FLASH FLOODS, LANDSLIDES EARLY WARNING SYSTEM IN MOUNTAINOUS AND MIDLAND AREAS OF VIET NAM","authors":"None Trinh Thu Phuong, None Nguyen Tien Kien, None Luong Huu Dung, None Luong Phuong Linh","doi":"10.55659/2525-2496/27.85960","DOIUrl":"https://doi.org/10.55659/2525-2496/27.85960","url":null,"abstract":"Flash flood is a natural disaster occurring shortly on small scale albeit with great devastation. In fact, the current flash flood events, landslide investigations and surveys from research agencies and local authorities play an important role in creating diverse data sources for researching and exploring the signs as well as modeling adjustment for detecting the risks. This article presents the results of making a Web portal used for the reception and integration of early warnings from citizens, local authorities and governing bodies against flash floods and landslides. This system collects real time rainfall data from the CDH of Meteorology and Hydrology Administration, integrates the numerical weather prediction WRF (the Weather Research and Forescast) model with 6 h, 24 h, 48 h forecast lead time and SEAFFGS product results. Also, it would elaborate on the system providing tools for aiding, analysing, producing and disseminating warning bulletins against flash floods and landslides for mountainous and midland areas, sending warning message about high risk flash flood and landslide with the total observed rainfall or rainfall forecast over the threshold via email or Zalo automatically. This information which can be accessed everywhere via the internet, will effectively support the forecasters in mornitoring and publishing the flash flood and landslide warning bulletins; help the authorities and citizens become aware of natural disasters early and mitigate damage caused by flash floods and landslides.","PeriodicalId":485535,"journal":{"name":"Tạp chí Khoa học Biến đổi khí hậu","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135127025","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

ASSESSMENT OF MAXIMUM HAIL SIZES AND THEIR VALUE AT A 100-YEAR RETURN PERIOD 最大冰雹大小及其100年重现期值的评估

Tạp chí Khoa học Biến đổi khí hậu Pub Date : 2023-09-30 DOI: 10.55659/2525-2496/27.85954

None Nguyen Dang Mau, None Nguyen Huu Quyen, None Tran Minh Tri, None Tran Thanh Thuy, None Do Van Man, None Hosam Ali, None Muehlbauer Andreas, None Osibanjo Olabosipo

{"title":"ASSESSMENT OF MAXIMUM HAIL SIZES AND THEIR VALUE AT A 100-YEAR RETURN PERIOD","authors":"None Nguyen Dang Mau, None Nguyen Huu Quyen, None Tran Minh Tri, None Tran Thanh Thuy, None Do Van Man, None Hosam Ali, None Muehlbauer Andreas, None Osibanjo Olabosipo","doi":"10.55659/2525-2496/27.85954","DOIUrl":"https://doi.org/10.55659/2525-2496/27.85954","url":null,"abstract":"Hailstorms are relatively rare phenomena in Viet Nam, and understanding their characteristics is crucial for assessing the potential impact of hail events on various sectors. This study explores the maximum hailstone sizes observed in Viet Nam from 1961 to 2021 and uses the Gumbel distribution to estimate hailstone sizes at different return periods. Hail events in Viet Nam occur infrequently, with a common occurrence rate of less than once per year. However, some regions in the North, especially in the mountainous areas of the NorthWestern region, experience hail events approximately 1 - 2 times per year. The study records the largest hailstone sizes observed during the research period, with notable examples including 12 cm at the Bac Ha station and 10 cm at the Chiem Hoa station. These sizes exceed the calculated values for a 100-year return period, emphasizing the need for further research and preparedness. Despite the limited dataset of hailstone measurements, the Gumbel distribution is found to be a useful tool for estimating hailstone sizes at a 100-year return period. The theoretical estimates closely align with the observed values. At a 15-year return period, the most common maximum hailstone sizes range from approximately 1 - 3 cm, while at a 100-year return period, prevalent maximum hailstone sizes vary from 2.5 to 5.0 cm.","PeriodicalId":485535,"journal":{"name":"Tạp chí Khoa học Biến đổi khí hậu","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135127035","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

WAVE ANALYSIS FOR THE DEVELOPMENT OF THIEN NGA - HAI AU OIL FIELD 青海油田开发的波浪分析

Tạp chí Khoa học Biến đổi khí hậu Pub Date : 2023-09-30 DOI: 10.55659/2525-2496/27.85950

None Pham Thi Thanh Nga, None Le Quoc Huy, None Pham Van Tien, None Doan Thi Thu Ha, None Tran Thanh Thuy, None Nguyen Lam Anh, None Bui Trong Han

引用次数: 0

BUILDING INTEGRATED TOOLS FOR FLOOD WARNING AND INUNDATION FORECAST OF RIVER BASINS IN KHANH HOA PROVINCE 在庆化省建立洪水预警和流域洪水预报综合工具

Tạp chí Khoa học Biến đổi khí hậu Pub Date : 2023-09-30 DOI: 10.55659/2525-2496/27.85972

None Pham Thanh Long, None Nguyen Thao Hien, None Nguyen Thu Huong, None Le Thanh Trang

{"title":"BUILDING INTEGRATED TOOLS FOR FLOOD WARNING AND INUNDATION FORECAST OF RIVER BASINS IN KHANH HOA PROVINCE","authors":"None Pham Thanh Long, None Nguyen Thao Hien, None Nguyen Thu Huong, None Le Thanh Trang","doi":"10.55659/2525-2496/27.85972","DOIUrl":"https://doi.org/10.55659/2525-2496/27.85972","url":null,"abstract":"In order to strengthen the flood warning and inundation forecasting system in the South Central region, the authors aim to study an integrated tool for flood disaster prevention, pilot application in two main river basins in Khanh Hoa Province. This area often suffers great damage due to the influence of storms and tropical depressions, which can be mentioned as floods in 1980, 1986, 1993, 1998, 1999, 2003, 2009, 2013, and 2016. The tool is the connection of scientific and technical products in automatic monitoring equipment and transmits real-time rainfall, water level data; as input for forecasting and warning models of flood and inundation risks; provides forecast data to users through the WebGIS online platform. The article details how to build an integrated tool for flood warning, inundation forecasting and verifying in a historical flood in 2016. The study has great significance in improving the effectiveness of natural disaster prevention, storm and flood monitoring; optimal and timely support in case of emergency. At the same time, it contributes to the forecasting of Viet Nam's Hydrometeorological Sector.","PeriodicalId":485535,"journal":{"name":"Tạp chí Khoa học Biến đổi khí hậu","volume":"249 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135127042","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

EFFECTIVENESS EVALUATION OF THE WATER USE PLAN IN THE BA RIVER BASIN 巴河流域水资源利用规划的有效性评价

Tạp chí Khoa học Biến đổi khí hậu Pub Date : 2023-09-30 DOI: 10.55659/2525-2496/27.85956

None Ngo Thi Thuy, None Tran Van Tra, None Trinh Nhu Trang, None Nguyen Thi Van

{"title":"EFFECTIVENESS EVALUATION OF THE WATER USE PLAN IN THE BA RIVER BASIN","authors":"None Ngo Thi Thuy, None Tran Van Tra, None Trinh Nhu Trang, None Nguyen Thi Van","doi":"10.55659/2525-2496/27.85956","DOIUrl":"https://doi.org/10.55659/2525-2496/27.85956","url":null,"abstract":"The Ba River basin has abundant water resources for agriculture and power generation. To respond to the socio-economic development of the basin, the water work system has been planning to improve the efficiency of water resource allocation, serving sustainable development. This study was designed to evaluate the effectiveness of water work plans built on the Ba River basin by assessing their ability to supply water for agriculture, domestic, industries and services. Water balance calculations show that water demand in irrigation areas in the Ba River basin increases significantly corresponding to basin development, especially in the Krong Pa and Nam Bac An Khe regions. With the application of irrigation planning, agricultural development plans and changes in land use structure, water resource allocation in the Ba River basin has been improved in the future. The effectiveness of the planning is obviously shown in the Upper Ayun, Ayun Pa, Upper and Lower Dong Cam where water demand increases sharply and water shortages are controlled, ensuring water supply requirements for irrigation and other sectors of over 85% and over 90%, respectively.","PeriodicalId":485535,"journal":{"name":"Tạp chí Khoa học Biến đổi khí hậu","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135126476","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

APPLICATION OF GOOGLE EARTH ENGINE PLATFORM TO IDENTIFY FLOODED AREAS AND ASSESS FLOOD DEPTH IN QUANG TRI PROVINCE Google earth引擎平台在广治省洪水区识别及洪水深度评估中的应用

Tạp chí Khoa học Biến đổi khí hậu Pub Date : 2023-09-30 DOI: 10.55659/2525-2496/27.85964

None Giang Hoang Hiep, None Nguyen Thanh Bang, None Tran Dang Hung

{"title":"APPLICATION OF GOOGLE EARTH ENGINE PLATFORM TO IDENTIFY FLOODED AREAS AND ASSESS FLOOD DEPTH IN QUANG TRI PROVINCE","authors":"None Giang Hoang Hiep, None Nguyen Thanh Bang, None Tran Dang Hung","doi":"10.55659/2525-2496/27.85964","DOIUrl":"https://doi.org/10.55659/2525-2496/27.85964","url":null,"abstract":"In recent years, the Application of the Google Earth Engine Platform has gained substantial recognition as a powerful tool for remote sensing and geospatial analysis. This paper delves into its utility within the context of flood monitoring and assessment, focusing on Quang Tri Province for the historic flood in 2020. The study leverages the platform's capabilities to identify and delineate flooded areas, offering a timely and accurate overview of the extent of inundation during flood events. Moreover, the paper demonstrates how the Google Earth Engine Platform enables the assessment of flood depths, providing critical insights for disaster management and response planning. By amalgamating satellite imagery, terrain data, and hydrological information, the study showcases the platform's potential to enhance flood-related decision-making in vulnerable regions like Quang Tri Province. The findings underscore the significance of innovative geospatial technologies in addressing the challenges posed by flooding, ultimately contributing to more effective disaster mitigation strategies and informed policymaking.","PeriodicalId":485535,"journal":{"name":"Tạp chí Khoa học Biến đổi khí hậu","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135127209","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0