ỨNG DỤNG CÁC KỸ THUẬT NỘI SUY KHÔNG GIAN ĐỂ PHÁT TRIỂN PHƯƠNG PHÁP TỐI ƯU HÓA VỊ TRÍ CÁC TRẠM ĐO MƯA TRÊN LƯU VỰC SÔNG ĐÀ RẰNG

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Tác giả: Quốc Khánh Nguyễn, Thị Thu Nga Nguyễn, Thị Hạnh Tống

Ngôn ngữ: vie

Ký hiệu phân loại:

Thông tin xuất bản: Journal of Science and Technique: Section on Special Construction Engineering, 2023

Mô tả vật lý: tr.21

Bộ sưu tập: Metadata

ID: 369069

Thêm vào giỏ Liên kết toàn văn

Lượng mưa là một trong những thông tin quan trọng trong nghiên cứu khí tượng thủy văn. Trong bối cảnh biến đổi khí hậu ngày càng phức tạp, dữ liệu dự báo khí tượng thủy văn là rất cần thiết cho việc lập mô hình mô phỏng khí hậu, dự báo thiên tai đặc biệt là lũ lụt và sạt lở đất. Để đảm bảo độ chính xác của việc dự báo lượng mưa cũng như chi phí xây dựng và vận hành trạm đo mưa thì việc xác định số lượng trạm đo mưa tối ưu là rất quan trọng. Do đó, nghiên cứu này đã phát triển một thiết kế tối ưu hóa cho mạng lưới trạm đo mưa ở sông Đà Rằng, tập trung vào số lượng và phân bố không gian của các trạm đo mưa. Phương pháp địa thống kê kết hợp với thuật toán nội suy không gian đã được áp dụng bằng cách sử dụng dữ liệu lượng mưa từ năm 2015-2020. Việc lựa chọn phương pháp nội suy không gian thích hợp ảnh hưởng đến độ chính xác của quá trình tối ưu hóa. Kết quả phân tích nội suy cho thấy sự biến đổi không gian của các kiểu mưa trên toàn khu vực nghiên cứu theo mùa, cũng như sự phân bố địa lý của lượng mưa. Sau khi xác định được số lượng trạm tối ưu, phương pháp tiếp cận dựa trên hệ thống thông tin địa lý thu được bản đồ phân bổ không gian vị trí các trạm đo mưa tối ưu. Kết quả cho thấy số lượng các trạm đo mưa cần lắp đặt thêm là 14, vị trí các trạm đo được lấy ngẫu nhiên trong vùng mưa với khoảng cách giữa các trạm là 10 km. Các trạm đo mưa được lắp đặt thêm cùng với các trạm đo mưa hiện có trong khu vực sẽ cung cấp thông tin đầy đủ về lượng mưa, từ đó có những dự báo chính xác giá trị lượng mưa phân bố trên khu vực nghiên cứu.Rainfall is one of the crucial data types in meteorological research. In the context of increasingly complex climate change, meteorological forecast data is essential for modeling and predicting natural disasters, especially floods and landslides. To ensure the accuracy of rainfall prediction and the cost of building and operating rain gauge stations, determining the number of stations is crucial. Therefore, this study developed an optimization design for the rain gauge station network in the Da Rang River focusing on the quantity and spatial distribution of rain gauge stations. The geostatistical method combined with spatial interpolation algorithms was applied using rainfall data from 2015-2020. The choice of an appropriate spatial interpolation method influenced the accuracy of the optimization process. The spatial interpolation analysis showed the spatial variation of rainfall types across the entire study area by season, as well as the geographical distribution of rainfall. After determining the optimal number of stations, an approach based on geographic information systems produced a spatial distribution map of the optimal rain gauge station locations. The results indicated that an additional 14 rain gauge stations should be installed, randomly located within the rainy area with a distance of 10 km between stations. These additional stations, along with the existing ones in the area, will provide comprehensive information about rainfall, enabling accurate predictions of rainfall distribution in the research area.

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