Study of Condition Indices in Goby,Parachaeturichthys Ocellatus(Day,1873)from the Creeks of Mumbai

Condition indices study like RNA content,DNA content,RNA:DNA,RNA:protein,RNA:lipid was carried out in goby,Parachaeturichthys ocellatus from the creeks of Mumbai to assess its nutritional status in dif­ferent months.The study was carried out from June 2010 to September 2011.The range of RNA content in male was 72-185.6μg/100 mg while in female was 82-145.46μg/100 mg.RNA content was high during spawning months.The DNA content showed slight variations with range of 22.56-39.31μg/100 mg in males and 25.20-32.52μg/100 mg in females.The range of ratio of RNA:DNA in males was 2.08-5.13 with an average of 3.74 while in female was 2.92-5.07 with an average of 3.99.The ratio above 2 indicates good condition.The RNA:protein showed an average of 0.0015 in males and 0.0017 in females while the average of RNA:lipid was 0.0176 in males and 0.0127 in females.RNA:protein and RNA:lipid showed the lowest values in post reproductive stages while it increased with the onset of reproductive cycles.The condition indices study showed that P.ocellatus was in good condition throughout the year and the creeks of Mumbai were suitable habitat for feeding and reproduction.

Modeling Spatio-temporal Drought Events Based on Multi-temporal,Multi-source Remote Sensing Data Calibrated by Soil Humidity

Inspired by recent significant agricultural yield losses in the eastern China and a missing operational monitoring system,we developed a comprehensive drought monitoring model to better understand the impact of individual key factors contributing to this issue.The resulting model,the‘Humidity calibrated Drought Condition Index’(HcDCI)was applied for the years 2001 to 2019 in form of a case study to Weihai County,Shandong Province in East China.Design and development are based on a linear combination of the Vegetation Condition Index(VCI),the Temperature Condition Index(TCI),and the Rainfall Condition Index(RCI)using multi-source satellite data to create a basic Drought Condition Index(DCI).VCI and TCI were derived from MODIS(Moderate Resolution Imaging Spectroradiometer)data,while precipitation is taken from CHIRPS(Climate Hazards Group InfraRed Precipitation with Station data)data.For reasons of accuracy,the decisive coefficients were determined by the relative humidity of soils at depth of 10-20 cm of particular areas collected by an agrometeorological ground station.The correlation between DCI and soil humidity was optimized with the factors of 0.53,0.33,and 0.14 for VCI,TCI,and RCI,respectively.The model revealed,light agricultural droughts from 2003 to 2013 and in 2018,while more severe droughts occurred in 2001 and 2002,2014-2017,and 2019.The droughts were most severe in January,March,and December,and our findings coincide with historical records.The average temperature during 2012-2019 is 1℃ higher than that during the period 2001-2011 and the average precipitation during 2014-2019 is 192.77 mm less than that during 2008-2013.The spatio-temporal accuracy of the HcDCI model was positively validated by correlation with agricultural crop yield quantities.The model thus,demonstrates its capability to reveal drought periods in detail,its transferability to other regions and its usefulness to take future measures.

Sensor selection of helicopter transmission systems based on physical model and sensitivity analysis

In the helicopter transmission systems, it is important to monitor and track the tooth damage evolution using lots of sensors and detection methods. This paper develops a novel approach for sensor selection based on physical model and sensitivity analysis. Firstly, a physical model of tooth damage and mesh stiffness is built. Secondly, some effective condition indicators （Cls） are presented, and the optimal Cls set is selected by comparing their test statistics according to Mann-Kendall test. Afterwards, the selected CIs are used to generate a health indicator （HI） through sen slop estimator. Then, the sensors are selected according to the monotonic relevance and sensitivity to the damage levels. Finally, the proposed method is verified by the simulation and experimental data. The results show that the approach can provide a guide for health monitor- ing of helicopter transmission systems, and it is effective to reduce the test cost and improve the system＇s reliability.