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DOI | 10.2136/vzj2018.04.0072 |
The Heihe Integrated Observatory Network: A Basin-Scale Land Surface Processes Observatory in China | |
Liu, Shaomin; Li, Xin; Xu, Ziwei; Che, Tao; Xiao, Qing; Ma, Mingguo; Liu, Qinhuo; Jin, Rui; Guo, Jianwen; Wang, Liangxu; Wang, Weizhen; Qi, Yuan; Li, Hongyi; Xu, Tongren; Ran, Youhua; Hu, Xiaoli; Shi, Shengjin; Zhu, Zhongli; Tan, Junlei; Zhang, Yang; Ren, Zhiguo | |
发表日期 | 2018 |
ISSN | 1539-1663 |
卷号 | 17期号:1 |
英文摘要 | Research on land surface processes at the catchment scale has drawn much attention over the past few decades, and a number of watershed observatories have been established worldwide. The Heihe River Basin (HRB), which contains the second largest inland river in China, is an ideal natural field experimental area for investigation of land surface processes involving diverse landscapes and the coexistence of cold and arid regions. The Heihe Integrated Observatory Network was established in 2007. For long-term observations, a hydrometeorological observatory, ecohydrological wireless sensor network, and satellite remote sensing are now in operation. In 2012, a multiscale observation experiment on evapotranspiration over heterogeneous land surfaces was conducted in the midstream region of the HRB, which included a flux observation matrix, wireless sensor network, airborne remote sensing, and synchronized ground measurements. Under an open data policy, the datasets have been publicly released following careful data processing and quality control. The outcomes highlight the integrated research on land surface processes in the HRB and include observed trends, scaling methods, high spatiotemporal resolution remote sensing products, and model-data integration in the HRB, all of which are helpful to other endorheic basins in the Silk Road Economic Belt. Henceforth, the goal of the Heihe Integrated Observatory Network is to develop an intelligent monitoring system that incorporates ground-based observatory networks, unmanned aerial vehicles, and multi-source satellites through the Internet of Things technology. Furthermore, biogeochemical processes observation will be improved, and the study of integrating ground observations, remote sensing, and large-scale models will be promoted further. |
WOS研究方向 | Environmental Sciences & Ecology ; Agriculture ; Water Resources |
WOS类目 | Environmental Sciences ; Soil Science ; Water Resources |
WOS关键词 | WIRELESS SENSOR NETWORK ; ENERGY-BALANCE CLOSURE ; RIVER-BASIN ; EDDY-COVARIANCE ; UPSCALING EVAPOTRANSPIRATION ; FLUX MEASUREMENTS ; WATER ; AREA ; MODEL ; REGRESSION |
WOS记录号 | WOS:000453220200001 |
来源期刊 | VADOSE ZONE JOURNAL |
来源机构 | 中国科学院西北生态环境资源研究院 |
文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/241062 |
作者单位 | [Liu, Shaomin; Xu, Ziwei; Xu, Tongren; Zhu, Zhongli] Beijing Normal Univ, Fac Geog Sci, State Key Lab Earth Surface Proc & Resource Ecol, Beijing 100875, Peoples R China; [Li, Xin; Che, Tao; Jin, Rui; Guo, Jianwen; Wang, Weizhen; Qi, Yuan; Li, Hongyi; Ran, Youhua; Hu, Xiaoli; Tan, Junlei; Zhang, Yang; Ren, Zhiguo] Chinese Acad Sci, Arid Reg Environm & Engn Res Inst, Lanzhou 730000, Gansu, Peoples R China; [Xiao, Qing; Liu, Qinhuo] Chinese Acad Sci, Inst Remote Sensing & Digital Earth, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China; [Ma, Mingguo] Southwest Univ, Sch Geog Sci, Res Base Karst Ecoenvironm Nanchuan Chongqing, Minist Nat Resources, Chongqing 400715, Peoples R China; [Wang, Liangxu] Shanghai Normal Univ, Inst Urban Studies, Shanghai 200234, Peoples R China; [Shi, Shengjin] China Agr Univ, Coll Resources & Environm Sci, Beijing 100193, Peoples R China |
推荐引用方式 GB/T 7714 | Liu, Shaomin,Li, Xin,Xu, Ziwei,et al. The Heihe Integrated Observatory Network: A Basin-Scale Land Surface Processes Observatory in China[J]. 中国科学院西北生态环境资源研究院,2018,17(1). |
APA | Liu, Shaomin.,Li, Xin.,Xu, Ziwei.,Che, Tao.,Xiao, Qing.,...&Ren, Zhiguo.(2018).The Heihe Integrated Observatory Network: A Basin-Scale Land Surface Processes Observatory in China.VADOSE ZONE JOURNAL,17(1). |
MLA | Liu, Shaomin,et al."The Heihe Integrated Observatory Network: A Basin-Scale Land Surface Processes Observatory in China".VADOSE ZONE JOURNAL 17.1(2018). |
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