Abstract:

With the rapid development of China's economy and the acceleration of urbanization, PM_2.5 has become one of the major factors affecting atmospheric environmental pollution in China. The use of geostationary satellite data can obtain a wide range of regional PM_2.5information, providing irreplaceable data sources for China's atmospheric environment monitoring, control, and forecasting. This paper uses the geostationary satellite GOCI data, based on Aerosol Optical Depth (AOD) retrieveal, combined with meteorological factors, and uses multivariate statistical analysis to study the remote sensing retrieval of PM_2.5 in the study area. The results show that the multivariate statistical model based on AOD shows a good agreement between the estimated PM_2.5 concentration and the observed values, and the fitting degreeR ² is 0.665 2. After multivariate statistical modeling of dry AOD obtained after moisture correction of AOD, the fitting degree R² between the predicted concentration of PM_2.5 and the observed value reached 0.702 6, which proved the relationship established betweenthe 鈥渄ry鈥� AOD after the humidity correction and PM_2.5 is more reliable.The use of GOCI-retrieved AOD to calculate PM_2.5 concentration fully reflects the advantages of GOCI as a geostationary satellite in spatial resolution and temporal resolution. In terms of spatial resolution, the spatial resolution of AOD based on GOCI satellite reachs to 500 meters, which is better than MODIS 10 km AOD product.In terms of temporal resolution,hourly AOD monitoring from 9:00 to 16:00 based on GOCI can be obtained,which is better than MODIS twice daily AOD products.

Key words: GOCI, Remote sensing, PM_2.5, Aerosol optical thickness, Jiangsu Province

鎽樿锛�

闅忕潃鎴戝浗缁忔祹鐨勫揩閫熷彂灞曞拰鍩庡競鍖栬繘绋嬬殑鍔犲揩锛屽ぇ姘旂粏棰楃矑鐗㏄M_2.5宸茬粡鎴愪负褰卞搷鎴戝浗澶ф皵鐜姹℃煋鐨勪富瑕佸洜绱犱箣涓�銆傚埄鐢ㄩ潤姝㈠崼鏄熸暟鎹彲浠ヨ幏鍙栧ぇ鑼冨洿鐨勯潰鐘禤M_2.5淇℃伅锛屼负鎴戝浗澶ф皵鐜鐨勭洃娴嬨�佹不鐞嗐�侀娴嬬瓑鎻愪緵浜嗕笉鍙浛浠ｇ殑鏁版嵁婧愩�備互姹熻嫃鐪佷负鐮旂┒鍖猴紝鍒╃敤闈欐鍗槦GOCI鏁版嵁锛屽湪鍙嶆紨閫愭椂姘旀憾鑳跺厜瀛﹀帤搴︼紙AOD锛夌殑鍩虹涓婏紝缁撳悎姘旇薄鍥犲瓙锛屽埄鐢ㄥ鍏冪粺璁″垎鏋愯繘琛屼簡鐮旂┒鍖篜M_2.5鐨勯仴鎰熷弽婕旂爺绌躲�傜粨鏋滆〃鏄庯細鍩轰簬AOD鐨勫鍏冪粺璁℃ā鍨嬶紝鍦ㄤ及璁＄殑PM_2.5娴撳害鍜岃娴嬪�间箣闂磋〃鐜板嚭鑹ソ鐨勪竴鑷存�э紝鎷熷悎搴�R ²涓�0.665 2銆傚湪瀵笰OD杩涜婀垮害璁㈡鍚庡緱鍒扮殑dry AOD杩涜澶氬厓缁熻寤烘ā锛岄娴嬬殑PM_2.5娴撳害涓庤娴嬪�间箣闂寸殑鎷熷悎搴�R ²杈惧埌浜�0.702 6锛岃瘉鏄庝簡缁忚繃婀垮害璁㈡鍚庣殑鈥滃共鈥滱OD涓嶱M_2.5涔嬮棿寤虹珛鐨勫叧绯绘洿鍔犲彲闈犮�備娇鐢℅OCI鍙嶆紨鐨凙OD璁＄畻PM_2.5娴撳害锛屽湪绌洪棿鍒嗚鲸鐜囧拰鏃堕棿鍒嗚鲸鐜囦笂鍏呭垎浣撶幇浜咷OCI浣滀负闈欐鍗槦鐩戞祴PM_2.5鐨勪紭鍔裤�傚湪绌洪棿鍒嗗垎杈ㄧ巼涓婏紝鍩轰簬GOCI鍗槦鑾峰彇AOD鐨勭┖闂村垎杈ㄧ巼涓�500 m锛屼紭浜嶮ODIS 10 km鐨凙OD浜у搧锛涙椂闂村垎杈ㄧ巼涓婏紝鍩轰簬GOCI鑾峰彇AOD瀹炵幇姣忔棩鑷�9:00~16:00閫愬皬鏃剁洃娴嬶紝浼樹簬MODIS姣忔棩涓ゆ鐨凙OD浜у搧銆�

鍏抽敭璇�: GOCI, 鍗槦閬ユ劅, PM_2.5, 姘旀憾鑳跺厜瀛﹀帤搴�, 姹熻嫃鐪�