scholarly journals Calibration of heat ratio method by direct measurements of transpiration with weighing root-ball method : A study with Acer palmatum Thunb.

2017 ◽  
Vol 43 (1) ◽  
pp. 109-114 ◽  
Author(s):  
Shinichi TAKEUCHI ◽  
Yoshitaka SUGIO ◽  
Keitaro SHINOZAKI ◽  
Daiki MATSUSHIMA ◽  
Shinichi IIDA
2016 ◽  
Vol 223 ◽  
pp. 60-71 ◽  
Author(s):  
Nathaniel Looker ◽  
Justin Martin ◽  
Kelsey Jencso ◽  
Jia Hu

2018 ◽  
Vol 419-420 ◽  
pp. 10-16 ◽  
Author(s):  
Sheng Wang ◽  
Jun Fan ◽  
Jiamin Ge ◽  
Qiuming Wang ◽  
Chenxu Yong ◽  
...  

2016 ◽  
Vol 34 (2) ◽  
pp. 172-178 ◽  
Author(s):  
Cristihian Jarri Bayona-Rodríguez ◽  
Hernán Mauricio Romero

Sap flow sensors were installed on the leaf petioles of 5-year-old oil palms (Elaeis guineensis Jacq.) to measure the xylem water flow for 12 days based on the heat ratio method (HRM). It was found that young leaves have higher sap flow rates, reaching values of over 250 cm3 h-1, and that sap flow fluctuations are directly related to weather conditions, particularly the vapor pressure deficit (VPD) component. It was observed that the sap flow rates remained constant and very close to 0 cm3 h-1 between 18:00 and 6:00 h and that the upward and downward movement of sap was faster during the day, with peak levels between 9:00 and 16:00 h. Under the evaluation conditions, the oil palm crop transpiration was estimated to be 1.15 mm H2O/ha-day. The HRM is a highly repeatable method and an useful tool to quantify the total oil palm transpiration. It could potentially be applied to irrigation.


Author(s):  
Alisson Macendo Amaral ◽  
Frederico Antonio Loureiro Soares ◽  
Lucas Melo Vellame ◽  
Marconi Batista Teixeira

Elem Sci Anth ◽  
2017 ◽  
Vol 5 ◽  
Author(s):  
Clay S. Bell ◽  
Timothy L. Vaughn ◽  
Daniel Zimmerle ◽  
Scott C. Herndon ◽  
Tara I. Yacovitch ◽  
...  

This study presents the results of a campaign that estimated methane emissions at 268 gas production facilities in the Fayetteville shale gas play using onsite measurements (261 facilities) and two downwind methods – the dual tracer flux ratio method (Tracer Facility Estimate – TFE, 17 facilities) and the EPA Other Test Method 33a (OTM33A Facility Estimate – OFE, 50 facilities). A study onsite estimate (SOE) for each facility was developed by combining direct measurements and simulation of unmeasured emission sources, using operator activity data and emission data from literature. The SOE spans 0–403 kg/h and simulated methane emissions from liquid unloadings account for 88% of total emissions estimated by the SOE, with 76% (95% CI [51%–92%]) contributed by liquid unloading at two facilities. TFE and SOE show overlapping 95% CI between individual estimates at 15 of 16 (94%) facilities where the measurements were paired, while OFE and SOE show overlapping 95% CI between individual estimates at 28 of 43 (65%) facilities. However, variance-weighted least-squares (VWLS) regressions performed on sets of paired estimates indicate statistically significant differences between methods. The SOE represents a lower bound of emissions at facilities where onsite direct measurements of continuously emitting sources are the primary contributor to the SOE, a sub-selection of facilities which minimizes expected inter-method differences for intermittent pneumatic controllers and the impact of episodically-emitting unloadings. At 9 such facilities, VWLS indicates that TFE estimates systematically higher emissions than SOE (TFE-to-SOE ratio = 1.6, 95% CI [1.2 to 2.1]). At 20 such facilities, VWLS indicates that OFE estimates systematically lower emissions than SOE (OFE-to-SOE ratio of 0.41 [0.26 to 0.90]). Given that SOE at these facilities is a lower limit on emissions, these results indicate that OFE is likely a less accurate method than SOE or TFE for this type of facility.


2016 ◽  
Vol 9 (10) ◽  
pp. 5053-5062 ◽  
Author(s):  
Hiren Jethva ◽  
Omar Torres ◽  
Lorraine Remer ◽  
Jens Redemann ◽  
John Livingston ◽  
...  

Abstract. We present the validation analysis of above-cloud aerosol optical depth (ACAOD) retrieved from the “color ratio” method applied to MODIS cloudy-sky reflectance measurements using the limited direct measurements made by NASA's airborne Ames Airborne Tracking Sunphotometer (AATS) and Spectrometer for Sky-Scanning, Sun-Tracking Atmospheric Research (4STAR) sensors. A thorough search of the airborne database collection revealed a total of five significant events in which an airborne sun photometer, coincident with the MODIS overpass, observed partially absorbing aerosols emitted from agricultural biomass burning, dust, and wildfires over a low-level cloud deck during SAFARI-2000, ACE-ASIA 2001, and SEAC4RS 2013 campaigns, respectively. The co-located satellite-airborne matchups revealed a good agreement (root-mean-square difference  <  0.1), with most matchups falling within the estimated uncertainties associated the MODIS retrievals (about −10 to +50 %). The co-retrieved cloud optical depth was comparable to that of the MODIS operational cloud product for ACE-ASIA and SEAC4RS, however, higher by 30–50 % for the SAFARI-2000 case study. The reason for this discrepancy could be attributed to the distinct aerosol optical properties encountered during respective campaigns. A brief discussion on the sources of uncertainty in the satellite-based ACAOD retrieval and co-location procedure is presented. Field experiments dedicated to making direct measurements of aerosols above cloud are needed for the extensive validation of satellite-based retrievals.


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