Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1029/2018WR024044 |
Spatiotemporal Analysis of Soil Moisture and Optimal Sampling Design for Regional-Scale Soil Moisture Estimation in a Tropical Watershed of India | |
Singh, Gurjeet1; Panda, Rabindra Kumar1; Mohanty, Binayak P.2 | |
2019-03-01 | |
发表期刊 | WATER RESOURCES RESEARCH |
ISSN | 0043-1397 |
EISSN | 1944-7973 |
出版年 | 2019 |
卷号 | 55期号:3页码:2057-2078 |
文章类型 | Article |
语种 | 英语 |
国家 | India; USA |
英文摘要 | Regional-scale soil moisture estimates are essential for several hydrological applications and for validating remote sensing-based soil moisture products. Characterization of the regional-scale soil moisture variability requires a robust in situ monitoring strategy at point scale to balance between representativeness and minimization of monitoring cost. In this study an optimal sampling design was determined to capture the spatiotemporal variability of soil moisture at watershed scale. The study was conducted for the typical Indian conditions of extreme seasonal variability that leads to very wet (during monsoon) to dry (during hot summer) in the eastern India. Soil moisture monitoring was done at 83 locations in an agricultural watershed of 500 km(2) for 56 days of field campaigns across a year. Based on the analyses of 41,832 measurements collected during field campaigns, it was found that maximum numbers of required locations necessary to estimate watershed-mean soil moisture within +/- 2% accuracy are 30. Moreover, five randomly selected locations were found to be sufficient for capturing the temporal variability of watershed-mean soil moisture with an accuracy of +/- 3%. In addition, five most representative locations identified through time stability analysis can provide robust estimate of watershed-mean soil moisture with accuracy of +/- 2%. Further, soil properties and topography are identified as significant physical parameters that jointly control the spatiotemporal persistence and variability of soil moisture in the Indian watershed. These findings will be quite useful to provide guidelines for optimizing short-term soil moisture campaigns by sampling at few selected points representative of the watershed-mean behavior. Plain Language Summary Soil moisture observations and their spatiotemporal analysis are critical for many hydrologic applications. However, few studies have ever been conducted in tropical watersheds of India. Rice cultivation and monsoon precipitation of the region creates a different hydroclimatic scenario for soil moisture dynamics as compared to other regions of the world. Using 56 ground-based soil moisture monitoring campaigns at 83 locations in an agricultural watershed of 500 km2 across a year, this study provides insight to the soil moisture spatiotemporal variability and temporal stability features. Based on 41,832 measurements collected during field campaigns, it was found that maximum numbers of required locations necessary to estimate watershed-mean soil moisture within +/- 2% accuracy are 30. Moreover, five randomly selected locations were found to be sufficient for capturing the temporal variability of watershed-mean soil moisture with an accuracy of +/- 3%. In fact, five most representative locations identified through time stability analysis can provide robust estimate of watershed-mean soil moisture with accuracy of +/- 2%. These findings will be quite useful to provide guidelines for optimizing short-term soil moisture campaigns by sampling at few selected points representative of the watershed-mean behavior. |
英文关键词 | tropical watershed regional-scale soil moisture spatial-temporal variability time stability Indian monsoon |
领域 | 资源环境 |
收录类别 | SCI-E |
WOS记录号 | WOS:000464660000017 |
WOS关键词 | REMOTE-SENSING FOOTPRINTS ; TEMPORAL STABILITY ; CATCHMENT SCALE ; VARIABILITY ; FIELD ; EVOLUTION ; DYNAMICS ; PATTERNS ; AVERAGES |
WOS类目 | Environmental Sciences ; Limnology ; Water Resources |
WOS研究方向 | Environmental Sciences & Ecology ; Marine & Freshwater Biology ; Water Resources |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/181566 |
专题 | 资源环境科学 |
作者单位 | 1.Indian Inst Technol Bhubaneswar, Sch Infrastruct, Dept Civil Engn, Bhubaneswar, Odisha, India; 2.Texas A&M Univ, Dept Biol & Agr Engn, College Stn, TX 77843 USA |
推荐引用方式 GB/T 7714 | Singh, Gurjeet,Panda, Rabindra Kumar,Mohanty, Binayak P.. Spatiotemporal Analysis of Soil Moisture and Optimal Sampling Design for Regional-Scale Soil Moisture Estimation in a Tropical Watershed of India[J]. WATER RESOURCES RESEARCH,2019,55(3):2057-2078. |
APA | Singh, Gurjeet,Panda, Rabindra Kumar,&Mohanty, Binayak P..(2019).Spatiotemporal Analysis of Soil Moisture and Optimal Sampling Design for Regional-Scale Soil Moisture Estimation in a Tropical Watershed of India.WATER RESOURCES RESEARCH,55(3),2057-2078. |
MLA | Singh, Gurjeet,et al."Spatiotemporal Analysis of Soil Moisture and Optimal Sampling Design for Regional-Scale Soil Moisture Estimation in a Tropical Watershed of India".WATER RESOURCES RESEARCH 55.3(2019):2057-2078. |
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