MADRAS AGRICULTURAL JOURNAL

Identifying the Best Microphysics Option to Improve Accuracy of Medium Range Rainfall Forecast for Tamil Nadu

Abstract

                                Weather Research and Forecasting (WRF) model is a numerical weather prediction system and having wide range of applications.It offers multiple physics options that could be combined in any way to improve the accuracy of forecast suitable to particular region.Each physics option has it’s own individuality and no single scheme could perform better in all locations. In this context, a study was carried out to identify the best WRF microphysics scheme for improvingmedium range rainfallforecastissued by Tami Nadu Agricultural University at block levelforTamil Nadu. Based on the review of previous studies, the present study was restricted to three microphysics options which are suitable for tropical conditions viz. Kessler scheme, WSM3 and WSM6 class schemes. Forecast wasdeveloped daily at 3 km resolution with a lead time of six days for 32 locations of Tamil Nadu and for the first fortnight of November 2017. The simulated forecast values were verified with the observed data collected from the Automatic Weather Stations of TamilNadu Agricultural Weather Network (TAWN) using skill score and root mean square error verification methods. Input data resolution and microphysics option had huge impact on model performance. Data resolution of 0.25 degree performed better than 0.50 degree in all microphysics schemes considered for the study. Among the three microphysics options, the Kessler scheme had higher rainfall forecast accuracy than WSM 3 class scheme and WSM 6 class scheme. Root mean square error was also low in Kessler scheme compared to other two schemes. Kessler scheme produced highly usable forecast than WSM 3 and 6 class schemes. Hence, it is concluded that the Kessler scheme with 0.25o input data resolution produced higher rainfall forecast accuracy for Tamil Nadu region

Key words : :Weatherforecast, WRF, Microphysics,Accuracy, Verification

Copyright @ 2019 Madras Agricultural Journal | Developed by Crystalpro All right reserved.

MADRAS AGRICULTURAL JOURNAL

Biosorption of Chromium (III) from Aqueous Solution by Water Hyacinth Biomass

Abstract

                                Release of heavy metals into the environment is a matter of global concern for the past few years and it should be removed from industrial waste waters before discharge for maintaining water quality standards. This study involved the use of water hyacinth biomass as biosorbent for removal of Cr(III) from aqueous solution. The biosorbent was characterized by FTIR, SEM with EDAX. Batch experiments were conducted to determine the sorption isotherms, effect of solution pH, adsorbate concentration, contact time, biosorbent dosage and size. The results confirmed that water hyacinth biomass can remove Cr(III) from aqueous solution. The maximum sorption occurs at pH =5.0, biosorbent size= 0.2mm, biosorbent dosage=2.0g 100ml-1 of adsorbate, adsorbate / solute concentration= 100 mg L-1 Cr(III) at 25ºC at 250 rpm after 24 hrs. The rate of adsorption was rapid and equilibrium attained at 24hrs. Langmuir, Freundlich and Temkin isotherm models were used to analyze the equilibrium adsorption data. Langmuir isotherm fitted the data well with R2 value of 0.999. Overall, the powdered water hyacinth biomass could be utilized as effective low cost adsorbent for the removal of Cr(III) from waste water.

Key words : Adsorption, Cr Removal, Release kinetics, Water hyacinth

Copyright @ 2019 Madras Agricultural Journal | Developed by Crystalpro All right reserved.

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    Copyright @ 2019 Madras Agricultural Journal | Developed by Crystalpro All right reserved.