Understanding temporal stability:a long-term analysis of USDA ARS watersheds  被引量:1

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作  者:Evan J.Coopersmith Michael H.Cosh Patrick J.Starks David D.Bosch Chandra Holifield Collins Mark Seyfried Stan Livingston John Prueger 

机构地区:[1]Soil Insight,LLC,Washington D.C.,USA [2]USDA-Agricultural Research Service,Beltsville Agricultural Research Center,Hydrology and Remote Sensing Laboratory,Beltsville,USA [3]USDA-Agricultural Research Service-Grazinglands Research Laboratory,El Reno,USA [4]USDA-Agricultural Research Service-Southeast Watershed Research Laboratory,Tifton,USA [5]USDA-Agricultural Research Service-Southwest Watershed Research Center,Tucson,USA [6]USDA-Agricultural Research Service-Northwest Watershed Research Laboratory,Boise,USA [7]USDAAgricultural Research Service-National Soil Erosion Research Laboratory,West Lafayette,USA [8]USDA-Agricultural Research Service-National Laboratory for Agriculture and Environment,Ames,USA

出  处:《International Journal of Digital Earth》2021年第10期1243-1254,共12页国际数字地球学报(英文)

摘  要:The U.S.Department of Agriculture’s Agricultural Research Service(USDAARS)maintains seven in situ soil moisture networks throughout the continental United States,some since 2002.These networks are crucial for understanding the spatial and temporal extent of droughts in their historical context,parameterization of hydrologic models,and local agricultural decision support.However,the estimates from these networks are dependent upon their ability to provide reliable soil moisture information at a large scale.It is also not known how many network stations are sufficient to monitor watershed scale dynamics.Therefore,the objectives of this research were to:(1)determine how temporally stable these networks are,including the relationships between various sensors on a year-to-year and seasonal basis,and(2)attempt to determine how many sensors are required,within a network,to approximate the full network average.Using data from seven in situ,it is concluded that approximately 12 soil moisture sensors are sufficient in most environments,presuming their locations are distributed to capture the hydrologic heterogeneity of the watershed.It is possible to install a temporary network containing a suitable number of sensors for an appropriate length of time,glean stable relationships between locations,and retain these insights moving forward with fewer sensor resources.

关 键 词:Soil moisture temporal stability in situ networks 

分 类 号:TP2[自动化与计算机技术—检测技术与自动化装置]

 

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