基于GEE云平台的黄河源区河流径流量遥感反演研究

史宜梦; 刘希胜; 朱文彬; 宋宏利

doi:10.11873/j.issn.1004-0323.2022.1.0186

閬ユ劅鎶�鏈笌搴旂敤鈥衡�� 2022, Vol. 37 鈥衡�� Issue (1): 186-195.DOI: 10.11873/j.issn.1004-0323.2022.1.0186

鈥� 闈掍績浼氬崄鍛ㄥ勾涓撴爮鈥� 涓婁竴绡� 涓嬩竴绡�

鍩轰簬GEE浜戝钩鍙扮殑榛勬渤婧愬尯娌虫祦寰勬祦閲忛仴鎰熷弽婕旂爺绌�

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鏀剁鏃ユ湡:2021-01-25 淇洖鏃ユ湡:2021-12-27 鍑虹増鏃ユ湡:2022-02-20 鍙戝竷鏃ユ湡:2022-04-08
閫氳浣滆��: 鏈辨枃褰�
浣滆�呯畝浠�:鍙插疁姊︼紙1995-锛夛紝濂筹紝娌冲寳鐭冲搴勪汉锛岀澹爺绌剁敓锛屼富瑕佷粠浜嬫按鏂囬仴鎰熺爺绌躲�侲?mail:657880480@qq.com
鍩洪噾璧勫姪:
闈掓捣涓夋睙婧愮敓鎬佷繚鎶ゅ拰寤鸿浜屾湡宸ョ▼绉戠爺鍜屾帹骞块」鐩�(2018-S-3);涓浗绉戝闄㈤潚骞村垱鏂颁績杩涗細璧勫姪椤圭洰(2020056)

Research on Inversion of River Discharge in High Mountain Region based on GEE Platform

Yimeng Shi^1,³(),Xisheng Liu²,Wenbin Zhu³(),Hongli Song¹

^1.School of Earth Science and Engineering锛孒ebei University of Engineering锛孒andan 056038锛孋hina
^2.Hydrology and Water Resources Forecast Center of Qinghai Province锛孹ining 810001锛孋hina
^3.Institute of Geographic Sciences and Natural Resources Research锛孊eijing 100101锛孋hina

Received:2021-01-25 Revised:2021-12-27 Online:2022-02-20 Published:2022-04-08
Contact: Wenbin Zhu

鎽樿/Abstract

鎽樿锛�

娌虫祦寰勬祦閲忔槸闄嗗湴涓婃渶閲嶈鐨勬按鏂囪绱犱箣涓�锛屽噯纭幏鍙栧緞娴佷俊鎭浜庡尯鍩熺殑姘磋祫婧愯瘎浠峰拰鐢熸�佷慨澶嶆柟闈㈤兘鍏锋湁閲嶈浣滅敤銆傜爺绌跺熀浜嶨oogle Earth Engine锛圙EE锛変簯骞冲彴鎻愪緵鐨凷entinel-1銆丼entinel-2褰卞儚鏁版嵁锛岀粨鍚堟暟瀛楅珮绋嬫ā鍨嬶紙DEM锛夊娌抽暱銆佹渤瀹姐�佺硻鐜囥�佹瘮闄嶃�佹渤娣卞拰娴侀�熺瓑姘村姏瀛﹀弬鏁拌繘琛岄仴鎰熶及绠楋紝杩涜�岄噰鐢ㄥ叧绯绘嫙鍚堟硶涓庢敼杩涚殑鏇煎畞鍏紡娉曞榛勬渤婧愬尯鍞愪箖浜ョ珯鐐归檮杩戞渤娈佃繘琛屽緞娴侀噺鍙嶆紨鐮旂┒锛屾帰璁ㄤ簡娌虫闀垮害宸紓瀵瑰緞娴侀噺鍙嶆紨绮惧害鐨勫奖鍝嶏紝骞堕�氳繃寤虹珛绔欑偣娌虫涓庝笂涓嬫父娌虫涔嬮棿鐨勬渤瀹藉叧绯伙紝瀹炵幇浜嗗绔欑偣娌虫寰勬祦閲忕洃娴嬫椂闂村簭鍒楃殑鎵╁睍琛ュ厖銆傜粨鏋滆〃鏄庯紝涓ょ妯″瀷鍧囪兘鏈夋晥杩涜寰勬祦閲忕殑妯℃嫙浼扮畻锛屽叾绾充粈鏁堢巼绯绘暟锛圢SE锛夊潎鍦�0.80浠ヤ笂锛涘叧绯绘嫙鍚堟硶涓庢敼杩涚殑鏇煎畞鍏紡娉曞緞娴佸弽婕旂殑鍧囨柟鏍硅宸紙RMSE锛夊垎鍒负233.431 m³s^-1鍜�271.704 m³s^-1锛岀浉瀵瑰潎鏂规牴璇樊锛圧RMSE锛夊垎鍒负16%鍜�24%锛屽叧绯绘嫙鍚堟硶鍙嶆紨绮惧害鎬讳綋浼樹簬鏀硅繘鐨勬浖瀹佸叕寮忔硶銆傞�氳繃瀵逛笉鍚岄暱搴︽渤娈靛緞娴侀噺鐨勫弽婕旂粨鏋滃姣斿垎鏋愬彂鐜帮紝杈姸娌冲績婊╃殑娌冲浼扮畻鍦ㄦ睕鏈熷瓨鍦ㄨ緝澶х殑涓嶇‘瀹氭�э紝杩涜�屽奖鍝嶅緞娴佸弽婕旂簿搴︼紝鍦ㄦ渤娈甸�夋嫨鏃跺簲浜堜互瑙勯伩锛涚珯鐐规渤娈典笌涓婁笅娓告渤娈电殑骞冲潎娌冲涔嬮棿鍏锋湁寮虹儓鐨勭浉鍏虫�э紝鐩稿叧绯绘暟鍧囧湪0.96浠ヤ笂锛屽洜姝や笂涓嬫父娌虫鐨勫奖鍍忔暟鎹彲涓虹珯鐐规渤娈靛緞娴侀噺鍙嶆紨鎻愪緵閲嶈琛ュ厖锛屽疄鐜扮洰鏍囨渤娈靛緞娴侀噺鐨勫姞瀵嗙洃娴嬨��

鍏抽敭璇�: 寰勬祦閲忓弽婕�, GEE浜戝钩鍙�, 姘翠綋鎸囨暟, Sentinel?1, Sentinel?2

Abstract:

River runoff is one of the most important hydrological elements on land. Accurate access to runoff information plays an important role in regional water resources evaluation and ecological restoration. Based on the Sentinel-1 data and Sentinel-2 data provided by the Google Earth Engine cloud platform锛� combined with digital elevation model锛� the hydraulic parameters such as river length锛� river width锛� roughness锛� slope锛� river depth and velocity were estimated by remote sensing. Then锛� the relationship fitting method and improved Manning formula method were used to inverse the runoff of the reach near Tangnaihai station in the source area of the Yellow River. The influence of the length difference of the reach on the runoff inversion accuracy is discussed. By establishing the river width relationship between the station reach and the upper and lower reaches锛� the runoff monitoring time series of the station reach can be extended and supplemented. The results show that the two models can effectively simulate and estimate the runoff锛� and the Nash efficiency coefficient is above 0.80锛� the root mean square error of the relationship fitting method and the improved Manning formula method are 233.431 m³s^-1 and 271.704 m³s^-1 respectively锛� and the relative root mean square error are 16% and 24% respectively. The inversion accuracy of relationship fitting method is better than that of the improved Manning formula method. Through the comparative analysis of runoff inversion results of different lengths of river reaches锛� it is found that the river width estimation of braided river core beach has great uncertainty in flood season锛� which affects the accuracy of runoff inversion锛� and should be avoided in the selection of river reach锛� there is a strong correlation between the average river width of the station reach and the upstream and downstream reaches锛� and the correlation coefficient is above 0.96. The data can provide an important supplement for the runoff inversion of the station reach and realize the intensive monitoring of the runoff of the target river section.

Key words: Discharge retrieval, GEE cloud platform, Water index, Sentinel-1, Sentinel-2

涓浘鍒嗙被鍙�:

P332

鍙插疁姊�,鍒樺笇鑳�,鏈辨枃褰�,瀹嬪畯鍒�. 鍩轰簬GEE浜戝钩鍙扮殑榛勬渤婧愬尯娌虫祦寰勬祦閲忛仴鎰熷弽婕旂爺绌禰J]. 閬ユ劅鎶�鏈笌搴旂敤, 2022, 37(1): 186-195.

Yimeng Shi,Xisheng Liu,Wenbin Zhu,Hongli Song. Research on Inversion of River Discharge in High Mountain Region based on GEE Platform[J]. Remote Sensing Technology and Application, 2022, 37(1): 186-195.

鍙傝�冩枃鐚�

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鍩轰簬GEE浜戝钩鍙扮殑榛勬渤婧愬尯娌虫祦寰勬祦閲忛仴鎰熷弽婕旂爺绌�

Research on Inversion of River Discharge in High Mountain Region based on GEE Platform

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