| contributor author | Feifei Pan | |
| date accessioned | 2017-05-08T21:53:10Z | |
| date available | 2017-05-08T21:53:10Z | |
| date copyright | July 2012 | |
| date issued | 2012 | |
| identifier other | %28asce%29ir%2E1943-4774%2E0000478.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl/handle/yetl/65355 | |
| description abstract | One common problem is associated with water balance calculation methods for determining soil moisture for scheduling irrigation: errors in the estimated soil moisture are cumulative and frequent recalibrations are needed. A simple and robust approach to estimation of daily soil moisture using a daily diagnostic soil moisture equation is suggested and studied. The estimated soil moisture is a function of the time-weighted summation of the ratio of historical precipitation rate to soil moisture loss coefficient. To capture the seasonal variation in soil moisture loss coefficient, a sinusoidal wave function of the day of year (DOY) is used to represent the seasonal variation in loss coefficient. A 3-year continuous data set of daily soil moisture and daily precipitation collected at each of four Soil Climate Analysis Network sites—AR2091; in Arkansas, GA2013 in Georgia, NM2107 in New Mexico, and PR2052 in Puerto Rico—is applied to test the proposed method. The land cover/land use of these four sites is agricultural/crop fields, grasslands, or desert. Root mean square errors of the estimated volumetric soil moisture are less than 5% (v/v), and all correlation coefficients, | |
| publisher | American Society of Civil Engineers | |
| title | Estimating Daily Surface Soil Moisture Using a Daily Diagnostic Soil Moisture Equation | |
| type | Journal Paper | |
| journal volume | 138 | |
| journal issue | 7 | |
| journal title | Journal of Irrigation and Drainage Engineering | |
| identifier doi | 10.1061/(ASCE)IR.1943-4774.0000450 | |
| tree | Journal of Irrigation and Drainage Engineering:;2012:;Volume ( 138 ):;issue: 007 | |
| contenttype | Fulltext | |
