The first morning stool of 22 animals and birds of Raipur city and Nandanvan Garden was collected manually in December, 2015. Similarly, the rice straw was collected after harvesting in December, 2015. The coal sample was collected from Korba coal mines in December, 2015. They were stored in 1000-mL cleaned glass bottles with subsequent drying at 50˚C for 2 days in an (RS) oven. The sample was crushed and the particles of <0.25 mm was sieved out.

The density of the biomass affects significantly the heat value. The bulk density (BD) was measured by the water replacement method [11] . 25 mL pure water will be taken into a 50-mL graduated cylinder. A 5.0 g of the sample was poured in the cylinder by noting the volume enhancement. The mass of the displaced water was calculated by multiply with water density at the particular working temperature.

The moisture content of the A samples were analyzed by heating it at 105˚C ± 2˚C till constant weight is observed. The ash content of the materials was determined by heating the sample at 600˚C for 6 hr [12] . The calorific value was determined experimentally using a Digital Microprocessor Based Bomb Calorimeter UTS 1.34, Advance Research Instruments Co., New Delhi as described in the literature [13] . A 1.0 g of manure sample was weighed and placed in the stainless steel combustion capsule. The combustion capsule containing the sample was then lowered in the wire bomb head while the bomb head was on its support. A 10 cm long fuse wire was firmly fixed to the electrodes to facilitate complete combustion. Then 1 mL of water was added to the bomb cylinder and the sealing ring of the bomb head was moistened. The bomb was carefully lowered into the cylinder and tightly closed with the sealing ring. The oxygen gas was flowed into the combustion cylinder. The bomb cylinder was then lowered into the calorimeter bucket. The calorimeter cover was carefully placed and the thermometer bucket lowered. The power was then switched on to start the auto temperature adjustment and the stirring motor. The initial temperature was recorded after equilibrium was attained i.e. after 5 min. The bomb content was then fired using the ignition switch. The bucket temperature i.e. final temperature was recorded after it had stabilized i.e. after 5 min. The difference between the original length and the new length was multiplied by 0.335 to obtain the number of calories liberated by combustion of the fuse (fuse wire correction). For every sample, calorific value in kcal/kg was calculated using the following equation:

where, GCV, M, W_e, W₁, W₂ and ∆T represent gross calorific value of species (kcal/kg), weight of sample, water equivalent, weight of cotton thread, weight of fuse wire and rise in temperature, respectively.

The content of volatile compounds including moisture was analyzed by using a Metller Thermogravimetric Analyzer-TGA-2 at heating rate of 20˚C/min.

The IBM SPSS Statistics 23 was used for the statistical and cluster analysis in the present work [14] .

The flux of PM₁₀ was determined by burning the materials in a closed chamber (0.5 × 0.5 × 0.5 m³) equipped with the exhaust fan and UC Davis (USA) portable air sampler in December, 2015. The PM₁₀ emitted in a closed chamber was collected over the weighted 47-mm quartz filter. The PM₁₀ mass was weighted out, and the flux was evaluated by dividing the PM₁₀ mass with amount of the material burnt.

The Anderson sampler (1531-107B-G289X) with eight stages: PM_10.0-9.0, PM_9.0-5.8, PM_5.8-4.7, PM_4.7-3.3, PM_3.3-2.1, PM_2.1-1.1, PM_1.1-0.7 and PM_0.7 modes was used for the collection of respirable particulate matters (PM₁₀) in the segregation forms. The sampler was run for 2 hr during burning of stool samples in December, 2015. The mass of dried loaded and blank filters were weighted out.

The pH value of ash extract was determined by the Hanna pH meter. The Dionex ion chromatography-1100 was used for monitoring of anions and cations. The content of elemental carbon (EC) and organic carbon (OC) were determined by the thermal method.

The stool or ash extract was prepared by equilibrating 5 g dried sample with 25 mL deionized water in 100- mL glass conical flask for 6 hr in the ultrasonic bath. The pH value of the filtrate was measured with the Hanna pH meter.

The physical characteristics of the manures are shown in Table 1. All stool samples were colored with bad smell due to emission of the volatile organic compounds. The pH value of the stool extracts (n = 22) was ranged from 3.5 - 10.4 with mean value (p = 0.05) of 7.0 ± 0.8. Among them, the lowest pH value of bird i.e. Parrot was observed, may be due to loading with uric acid. The stools of several animals (i.e. Samber, H. Bear, Rabbit, Hen, Parrot, Pigeon, Duck, Cat, White tiger, and Lion) were found to be acidic, Table 1. The pH value of the stool extract was partially negatively correlated (r = −0.31) with the CV, may be due to higher inorganic contents as shown in Figure 1.

The bulk density (BD) of stools had fare correlation (r = 0.56) with the CV, may be due to loading of stool with the organic matrix. The BD value (n = 22) was ranged from 570 - 1800 kg/m³ with mean value (p = 0.05) of 1009 ± 120 kg/m³. The higher BD value for manure of the carnivorous animals was marked, may be due to loading with the inorganic compounds as shown in Table 1 and Figure 1.

High moisture content (MC) of manure has a much lower net energy density by mass, owing to the weight of the

B = Barking, H = Himalayan, A = Antilocapra, CA = Capra aegagrus, U = Ursus, O = Oryctolagus, GBr = Greenish brown, DG = Dark green, WBr = White brown, BI = Blackish.

water, but also by volume owing to the energy required to evaporate the water. The moisture content of 22 manures was ranged from 1.2% - 3.5% with mean value (p = 0.05) of 2.5% ± 0.3%. The MC had good negative correlation (r = −0.81) with the CV of the material, Table 1 and Figure 1.

The TG-DTG chromatogram of cattle manure (CM) was shown in Figure 2. The first stage (temperature below 150˚C) corresponds to the drying period where light volatiles, mainly water were liberated throughout the procedure. Slender decay of sample weight was observed as illustrated in Figure 2. De-volatilization was the major step in all thermos chemical conversion process involving manure. This step was represented by the second stage of decomposition, occurring at temperature between 150˚C to 400˚C, where remarkable slope of the TG curve was observed, corresponding to significant drop in weight of samples, 40.7% due to liberation of volatile organic compounds from rapid thermal decomposition of hemicelluloses, cellulose and some part of lignin. In third stage, the curve was decreased sharply up to 600˚C, may be due to decomposition of lignin materials with weight loss of 19.5%. The non-volatile materials (i.e. fixed carbon and ash residue) in the biomass was found to be ≈ 30.0%

The ash residue (AR) of 22 stool samples was ranged from 12% - 31% with mean value (p = 0.05) of 23% ± 2% as shown in Figure 3. The AR fraction was observed to influence inversely the heat value of the manures (Figure 3). The pH value of as residue extract was ranged from 3.8 - 11.5 with mean value (p = 0.05) of 8.8 ± 0.9. The ash residue of birds was found to be acidic in nature.

The CV of 22 manure samples derived from animals and birds was measured, ranging from 2580 - 11,200 kcal/kg with mean value (p = 0.05) of 5333 ± 1073 kcal/kg. Among them, the highest CV of the manures derived from the animals i.e. lion and hyena was observed, may be due to loading with energetic compounds, Table 1. The age of cattle also influenced the CV of the manure, and the maximum value was marked in the middle age group as shown in human, Figure 4. The spray of additives i.e. NaNO₃ and Na₂WO₄ (0.1%) during pellet formation was found to enhance the heat value of the manure as presented in Figure 4. The manure samples derived from 22 different animals and birds were grouped into clusters using the proximate parameters as discriminating factors as shown in Figure 5. The manures having the CV < 10,000 kcal/kg was grouped into the I-cluster. In this cluster, 19 manure samples derived from animals and birds (sample no 2 - 14 and 16 - 21) were included. In the II-cluster, the manures having CV > 10,000 kcal/kg were included.

The CV of materials i.e. CM, RS and coal was found to be 3900, 5600 and 9100 kcal/kg, respectively. The PM₁₀ emission fluxes (n = 3) for RS, coal and CM was 3500, 8500 and 12,200 mg/kg, respectively. The highest emission fluxes of the CM were observed, and may be due to slow burning kinetics. The segregation of PM₁₀

of the CM, RS and coal into 8 modes i.e. PM_10.0-9.0, PM_9.0-5.8, PM_5.8-4.7, PM_4.7-3.3, PM_3.3-2.1, PM_2.1-1.1, PM_1.1-0.7 and PM_0.7-0.0 μm is shown in Table 2 and Figure 6. The highest concentration of the coarse particulates, PM_10.0-9.0 was observed in the CM particulates unlikely to the RS and coal. The RS and coal particulates were dominated by the ultra-fine and nano particulates. The carbons contributed the major fraction of the PM emitted during the burning processes. The EC concentration in the PM of CM, RS and coal was found to be comparable, 10% - 14%. Relatively higher OC fraction in the PM_RS was marked, may be due to evaporation of the VOCs. Higher concentration of Cl⁻, Na⁺ and K⁺ were found to be enriched in the PM_CM.

The characteristic of ash residue (AR) of cattle manure, rice straw and coal is summarized in Table 3. Remarkably high fractions of ash residue (AR) in the cattle manure were observed, Table 3. The pH value of CM and RS was found to be of alkaline nature unlikely to the coal ash, Table 3. Relatively higher concentration of

EC in the all ash residue was marked. The OC content in the all AR was found to be reduced remarkably as compared to the respective PM. However, the higher concentration of ions was observed to be present in the CM than the RS and coal ash residue.