Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.1002/hyp.13748 |
Impact of flooded rice paddy on remotely sensed evapotranspiration in the Krishna River basin, India | |
Teluguntla, Pardhasaradhi1; Ryu, Dongryeol1; George, Biju1; Walker, Jeffrey P.2 | |
通讯作者 | Teluguntla, Pardhasaradhi ; Ryu, Dongryeol |
来源期刊 | HYDROLOGICAL PROCESSES
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ISSN | 0885-6087 |
EISSN | 1099-1085 |
出版年 | 2020 |
卷号 | 34期号:10页码:2190-2199 |
英文摘要 | Evapotranspiration (ET) is one of the major water exchange processes between the earth's surface and the atmosphere. ET is a combined process of evaporation from open water bodies, bare soil and plant surfaces, and transpiration from vegetation. Remote sensing-based ET models have been developed to estimate spatially distributed ET over large regions, however, many of them reportedly underestimate ET over semi-arid regions (Jamshidi et al., Journal of Hydrometeorology, 2019, 20, 947-964). In this work, we show that underestimation of ET can occur due to the open water evaporation from flooded rice paddies ignored in the existing ET models. To address the gap in ET estimation, we have developed a novel approach that accounts for the missing ET component over flooded rice paddies. Our method improved ET estimates by a modified Penman-Monteith algorithm that considered the fraction of open water evaporation from flooded rice paddies. Daily ET was calculated using ground based meteorological data and the MODIS satellite data over the Krishna River Basin. Seasonal and annual ET values over the Krishna Basin were compared with two different ET algorithms. ET estimates from these two models were also compared for different crop combinations. Results were validated with flux tower-based measurements from other studies. We have identified a 17 mm/year difference in average annual ET over the Krishna River Basin with this new ET algorithm. This is very critical in basin scale water balance analysis and water productivity studies. |
英文关键词 | evapotranspiration flooded rice paddy Krishna River basin MODIS remote sensing ET |
类型 | Article |
语种 | 英语 |
国家 | Australia |
开放获取类型 | Green Published |
收录类别 | SCI-E |
WOS记录号 | WOS:000521624400001 |
WOS关键词 | SPECTRAL MATCHING TECHNIQUES ; ENERGY BALANCE ALGORITHM ; TIME-SERIES DATA ; MAPPING EVAPOTRANSPIRATION ; MODIS ; EVAPORATION ; AREAS ; MANAGEMENT ; FLUX |
WOS类目 | Water Resources |
WOS研究方向 | Water Resources |
资源类型 | 期刊论文 |
条目标识符 | http://119.78.100.177/qdio/handle/2XILL650/314692 |
作者单位 | 1.Univ Melbourne, Dept Infrastruct Engn, Melbourne, Vic, Australia; 2.Monash Univ, Dept Civil Engn, Clayton, Vic, Australia |
推荐引用方式 GB/T 7714 | Teluguntla, Pardhasaradhi,Ryu, Dongryeol,George, Biju,et al. Impact of flooded rice paddy on remotely sensed evapotranspiration in the Krishna River basin, India[J],2020,34(10):2190-2199. |
APA | Teluguntla, Pardhasaradhi,Ryu, Dongryeol,George, Biju,&Walker, Jeffrey P..(2020).Impact of flooded rice paddy on remotely sensed evapotranspiration in the Krishna River basin, India.HYDROLOGICAL PROCESSES,34(10),2190-2199. |
MLA | Teluguntla, Pardhasaradhi,et al."Impact of flooded rice paddy on remotely sensed evapotranspiration in the Krishna River basin, India".HYDROLOGICAL PROCESSES 34.10(2020):2190-2199. |
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