基于風廓線雷達的大氣擴散條件參數研究
作者:
作者單位:

作者簡介:

通訊作者:

中圖分類號:

基金項目:

國家重點專項(2016YFC0203302)和河北省氣象局科研項目(22ky03)資助


Research on Atmospheric Diffusion Condition Parameters Based on Wind Profile Radar
Author:
Affiliation:

Fund Project:

  • 摘要
  • |
  • 圖/表
  • |
  • 訪問統計
  • |
  • 參考文獻
  • |
  • 相似文獻
  • |
  • 引證文獻
  • |
  • 資源附件
  • |
  • 文章評論
    摘要:

    利用河北省13套風廓線雷達資料,基于大氣動力學原理和動力條件反演算法,計算出垂直風切變、散度、渦度和邊界層通風量等參數產品。通過與探空資料計算結果對比,以及與近地面濃度聯合分析,對4種參數算法進行檢驗,結果表明,反演產品的變化趨勢和特征表現較為合理。以2022年11月9-11日河北境內一次區域PM2.5(空氣動力學直徑小于等于2.5 μm的顆粒物)污染過程為例,4種產品的具體分析結果表明:在污染積累過程中3 km以下垂直風切變從對角線到右下角依次減小,右下角數值多小于5 m/(s·km);渦度、散度數值基本都在20×10-5s-1以下,950 hPa等壓面以下多小于15×10-5s-1,靜穩形勢明顯;邊界層通風量數值小于3000 m2/s。在污染物消散前垂直風切變整層數值升至10 m/(s·km)以上,2~3 km高度與0~1 km之間10 m/(s·km)以上風切變大值區對污染消散敏感性最強;850 hPa高空渦度、散度數值首先增大到30×10-5s-1以上,當20×10-5s-1以上渦度和散度區域擴展到邊界層以內時,近地面PM2.5濃度迅速下降;邊界層通風量數值升至4000 m2/s時,污染物濃度達標,沿著冷空氣傳輸路徑,下游站點數值增大滯后,多站點聯合分析可用于下游站點的污染消散預報。

    Abstract:

    To harness the benefits derived from the high spatial and temporal resolution of vertically continuous wind profile radar observations and exploit its capacity for monitoring atmospheric diffusion conditions during pollution events, this paper calculates parameters such as vertical wind shear, divergence, vorticity, and boundary layer ventilation by utilising 13 sets of wind profile radar data in Hebei Province. The computations are based on the principles of atmospheric dynamics and the dynamic conditions inversion algorithm. By comparing the results with sounding data and analysing them in conjunction with near-surface PM2.5 concentration, the four parameter algorithms are examined. The results show that the variations and characteristics of the inversion products are reasonably represented, effectively reflecting the evolution of atmospheric pollution conditions. However, due to disparities in resolution and detection methods among different observational datasets, substantial discrepancies exist in the results derived from various datasets. Therefore, it is imperative to maintain data consistency when conducting analyses. Taking the regional PM2.5 pollution event in Hebei from 9 to 11 November 2022 as an example, through multi-site joint application, the evolution characteristics of the four products in this process indicate the following: during the pollution accumulation process, vertical wind shear below 3 km decreased from the diagonal to the lower right corner, with most values below 5 m/(s·km). Vorticity and divergence values were mostly within 20×10-5s-1, and less than 15×10-5 s-1 for distances below the 950 hPa isobaric surface, indicating a stable meteorological situation. Boundary layer ventilation was less than 3000 m2/s. Before the pollutant dispersal, vertical wind shear increased to above 10 m/(s·km) throughout the entire layer. The region with wind shear greater than 10 m/(s·km) between 2-3 km height and 0-1 km above the ground showed the strongest sensitivity to pollutant dispersion. Vorticity and divergence above the 850 hPa isobaric surface first increased to above 30×10-5s-1, and when vorticity and divergence above 20×10-5 s-1 extended within the boundary layer, the near-surface PM2.5 concentration rapidly decreased. When boundary layer ventilation reached 4000 m2/s, pollutant concentrations met the standards. The values at downstream stations increased significantly with a noticeable delay along the cold air transmission path, thus multi-station joint analysis could be used for pollution dispersion forecasts at downstream sites. By comparing with the data of airborne sounding and near-surface wind field, the wind profile data had obvious advantages of high temporal and spatial resolution. However, these parameters exclusively responded to atmospheric dynamic conditions and did not account for the evolving principles governing the weather system. The application was most effective when used in conjunction with the prevailing circulation patterns and the diagnostic analysis of the weather system.

    參考文獻
    相似文獻
    引證文獻
引用本文

趙娜,楊雨靈,焦亞音,張智,趙玉廣.基于風廓線雷達的大氣擴散條件參數研究[J].氣象科技,2024,52(4):457~467

復制
分享
文章指標
  • 點擊次數:
  • 下載次數:
  • HTML閱讀次數:
  • 引用次數:
歷史
  • 收稿日期:2023-08-03
  • 定稿日期:2024-01-15
  • 錄用日期:
  • 在線發布日期: 2024-08-28
  • 出版日期:
您是第位訪問者
技術支持:北京勤云科技發展有限公司
午夜欧美大片免费观看,欧美激情综合五月色丁香,亚洲日本在线视频观看,午夜精品福利在线
>