AQUATIC PLANT DIVERSITY OF LAKES AROUND GONDIA CITY, MAHARASHTRA, INDIA

Gondia is one of the centrally located districts of India. It is famous for its lakes and water bodies. These water bodies exhibit enormous diversity of plants according to geographical location, depth of water body, water regime, chemistry of water, soil and sediment characteristics. Very little work has been done so far on the flora of the water bodies of Gondia district. Therefore, a study has carried out to understand the aquatic plants diversity of selected 5 lakes around Gondia city. For this, well-planned surveys were carried out at selected sites frequently. During visits, data like habit, life span, local names, and life forms of all the plant species present in the water body were collected. During the study, 44 species of 37 genera belonging to 26 families have been recorded from selected sites. Most dominant family was Hydrocharitaceae with 4 genera and 4 species, followed by Asteraceae, Poaceae, Convolvulaceae and Potamogetonaceae with 3 species each. Jaccard and Sorenson similarity indexes showed that Lake I and Lake II have maximum similarity and highest diversity as compared to other sites. The present work revealed the database of aquatic plants in water bodies around Gondia, which will help in future work for the conservation, preservation and growth of the local biodiversity

Online state of charge estimation for the aerial lithium-ion battery packs based on the improved extended Kalman filter method.

An effective method to estimate the integrated state of charge (SOC) value for the lithium-ion battery (LIB) pack is proposed, because of its capacity state estimation needs in the high-power energy supply applications, which is calculated by using the improved extended Kalman filter (EKF) method together with the one order equivalent circuit model (ECM) to evaluate its remaining available power state. It is realized by the comprehensive estimation together with the discharging and charging maintenance (DCM) process, implying an accurate remaining power estimation with low computational calculation demand. The battery maintenance and test system (BMTS) equipment for the aerial LIB pack is developed, which is based on the proposed SOC estimation method. Experimental results show that, it can estimate SOC value of the LIB pack effectively. The BMTS equipment has the advantages of high detection accuracy and stability and can guarantee its power-supply reliability. The SOC estimation method is realized on it, the results of which are compared with the conventional SOC estimation method. The estimation has been done with an accuracy rate of 95% and has an absolute root mean square error (RMSE) of 1.33% and an absolute maximum error of 4.95%. This novel method can provide reliable technical support for the LIB power supply application, which plays a core role in promoting its power supply applications

A review of source term estimation methods for atmospheric dispersion events using static or mobile sensors

Understanding atmospheric transport and dispersal events has an important role in a range of scenarios. Of particular importance is aiding in emergency response after an intentional or accidental chemical, biological or radiological (CBR) release. In the event of a CBR release, it is desirable to know the current and future spatial extent of the contaminant as well as its location in order to aid decision makers in emergency response. Many dispersion phenomena may be opaque or clear, thus monitoring them using visual methods will be difficult or impossible. In these scenarios, relevant concentration sensors are required to detect the substance where they can form a static network on the ground or be placed upon mobile platforms. This paper presents a review of techniques used to gain information about atmospheric dispersion events using static or mobile sensors. The review is concluded with a discussion on the current limitations of the state of the art and recommendations for future research.close