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The India Cements Limited Dalavoi Works ~ ABUREAU of INDIAN OMS & EMS ISO 50001 STANDARDS

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The India Cements Limited Dalavoi Works ~ ABUREAU of INDIAN OMS & EMS ISO 50001 STANDARDS <n«\l>r .•••••• ..p; IS /150 SoOI & 1400-1 The India Cements Limited Dalavoi Works ~ ABUREAU OF INDIAN OMS & EMS ISO 50001 STANDARDS ICUDAUMINES/D 93 12017 08.12.2017 CHIEF WILD LIFE WARDEN, DEPARTMENT OF FORESTS, PANAGAL MALIGAI, SAIDAPET, CHENNAI - 600 015 Sir, Sub: Conservation plan for peafowl prepared by Mis Creative Engineers and Consultants, Chennai for mining lease area 74.81.0 hectares in Periyathirukkonam, Reddipalayam and Edayattankudi villages, Ariyalur Taluk and District of The India Cements Limited - submission of approved conservation plan by DFO, Ariyalur - reg. We have been granted a mining lease over an extent of 74.81.0 Ha in Periyathirukonam, Reddipalayam and Edaiyattankudi viliages,AriyalurTaluk and District, Tamil Nadu. While conducting Environmental Study of the area, Peafowl was observed during the field study in the buffer zone periphery (10 Km radius). As the species is placed under Schedule-I as per Wild Life (Protection) Act, 1972.MoEF& CC had directed the company to prepare a conservation plan for Peafowl in consultation with State Forest and Wild Life Department and also allocate necessary budgetary provision for executing the plan, In compliance to this condition the company had prepared a conservation plan for Peafowl through its consultant Mis Creative Engineers and Consultants, Chennai. We had allocated a budgetary provision of RS.2.50 Lakhs over a period of five years for executing the conservation plan in consultation with State Forest Department. The conservation plan was submitted to District Forest Officer, Ariyalur Forest Division and it was approved by DFO vide letter No. C.No.2400/2017/P Dated 13.09.2017 is enclosed herewith in Annexure-I. Environmental Appraisal Committee of MoEF& CC in its meeting on 27.11.2017 had directed the company to submit a copy of the conservation plan to CWLW of the State and also to enhance the budgetary provision. The copy minutes of meeting is also enclosed herewith in Annexure - II. As directed, we have increased the budgetary provision from the existing RS.2.5 Lakhs to RS.5.0 Lakhs for the initial five years. We herewith submit a copy of the conservation plan for Peafowl, \ within the buffer zone for your kind perusal. For your kind information and perusal please. Thanking you, For THE INDIA CEMENTS LIMITED, "q ~-:.~9 Encl.: a. a. Better Environment - Better tomorrow Cement Naqar Post - 621 730, Sendurai Taluk, Ariyalur District, Tamil Nadu. Phone: 04329 248201 to 203 Fax: 248248, Email : [email protected] Corporate Identity No : L26942TN 1946PLC000931, Web-site address: www.indiacements.co.in ENCLOSURE - 2 AIR QUALITY MODELLING PROJECT: PERIYATHIRUKONAM LIMESTONE MINE Impact on air quality due to fugitive and gaseous emissions consequent to this proposed project operation was estimated based on the latest computer model – ISCST (Industrial Source Complex Short Term Model). Details of this modeling study / estimation including the modeling technique and post project air quality values are elaborated in the following paragraphs. 1.1 AirPollutionModeling: Air quality models are the primary tools for relating emissions to air quality impacts. Models, in turn, require acceptable input data for emissions, surface topography, meteorological parameters, receptor configurations, baseline air quality, and initial and boundary conditions for each modeling scenario. Since the quality and reliability of model outputs can never be any better than the inputs, quality control of the input data is important. Prediction of impacts on air environment has been carried out using mathematical model based on a steady state Gaussian plume dispersion model designed for area sources for short term. In the present case, Industrial Source Complex [ISC3] 1993 dispersion model based on steady state Gaussian plume dispersion, designed for area sources for short term and developed by United States Environmental Protection Agency [USEPA] has been used for simulations from point sources. 1.2 Pollutants Considered For Computation: The model simulations are done for the air pollutant arising from the mining operations, namely, PM10, PM2.5, SO2, NOX & CO. 1.3 Emission Sources: Pollution from the proposed project will arise mainly on account of mining and allied operations: ACTIVITY SOURCE TYPE A. Excavation of waste and limestone Open pit B. Limestone and waste transportation Line c. Drilling operation Point 1 1.4 Emission rates: Quantification of particulate emissions has been carried out by the emission factor technique. Emission factor is a statistical average of the rate at which a pollutant is released during an activity. This factor when multiplied by the level of that activity in a given situation will give the overall effect. Fugitive emissions (PM10 & PM2.5) have been predicted by using standard equations given in “Indian Mine and Engineering Journal” and suggested by USEPA for mining & allied activities. SO2 emission is calculated based on the hourly fuel consumption of each equipment and the quality of the fuel as provided by Indian Oil corporation. (i.e total Sulphur = 37 mg/kg). NOx emission is calculated based on the Engine power and the corresponding NOX emission standard for heavy duty diesel engines as provided by the manufacturer CO emission is calculated based on the Engine power and the corresponding CO emission standard for heavy duty diesel engines as provided by the manufacturer. The modeling is done for the worst scenario. 1.5 Emission rate and Emission sources: Parameters Emission Rate in g/sec PM-10 : 7.44 PM-2.5 : 3.28 SO2 : 0.0035 NOX : 1. 810 CO : 0.776 Size of the pit = 350m X 700m 1.6 Emission Source Coordinates: The center of mine was assumed (0, 0) in the mathematical modeling. 1.7 Mathematical Model for Pollutants Dispersion: In the present case ISCST (Industrial Source Complex-Short Term ISC-3) model has been used to predict the impacts. This ISC model for area sources uses the steady state Gaussian plume equation for a continuous source. Further the model has following specialties: - Simulates dispersion from single/multiple/area/line/volume sources. - Allows calculations to be made at a user specified regular rectangular/radial grid or at specified special receptors. 2 - Provides estimates of concentrations for any averaging time period for the entire period of input meteorology. 24 hourly average for PM10, PM2.5, SO2, NOX and 1 hourly average for CO is considered. - Allows calculations to be underwritten for source groups as selected by the user. - Uses Pasquill-Gifford or Briggs dispersion curves (for urban areas) as selected by the user, to derive the plume spread parameters. - Adjusts dispersion curves to account for user specified information on aerodynamic roughness. - Adjusts for wind speed variation with height, using user specified default urban/rural power law coefficients. - Simulates dispersion from buoyant, non-buoyant point sources, non-buoyant area, non-buoyant volume sources and non-buoyant line sources. - Simulates dry deposition using a simple tilted plume model with user specified reflection coefficients. - Simulates building wake effects. - Can include the effects of exponential decay. - Uses Briggs’ 1975 plume rise algorithm to calculate plume height. 1.8 Meteorological Conditions used in Predictions: The hourly meteorological data has been generated at the site for summer season (March to May 2017) and the same has been used in the predictions. 1.9 Results and Discussions: Peak incremental PM10, PM2.5, SO2, NOX & CO concentrations have been computed using hourly meteorological data and from the study and its details are as follows: Sl.no Parameters peak incremental concentration µg/m3 1 PM-10 13.30 2 PM-2.5 5.89 3 SO2 0.04 4 NOX 8.08 5 CO 24.3 It is observed that the peak incremental concentration for PM10, PM2.5, SO2, NOX & CO under worst scenario is occurring very near the source. At away from the source the values are getting reduced. The Isopleths of PM 10, PM2.5, SO2, NOX & CO concentrations have also been drawn and these are given in Figure No - 1 to 5. The incremental and predicted concentrations at the locations of ambient air quality have been discussed in the following section. 3 ISOPLETH OF GLC PREDICTION FOR PM10 Figure No - 1 4 ISOPLETH OF GLC PREDICTION FOR PM 2.5 Figure No - 2 5 ISOPLETH OF GLC PREDICTION FOR SO2 Figure No - 3 6 ISOPLETH OF GLC PREDICTION FOR NOx Figure No -4 7 ISOPLETH OF GLC PREDICTION FOR CO Figure No - 5 8 1.10 Predicted Ambient Air Quality: With a wide fluctuation in meteorological parameters it is a complex task to predict post project ambient air quality. The cumulative Ground Level Concentration of PM 10, PM2.5, SO2, NOX & CO (GLC) (base line + incremental) under worst scenario is given below. Table No - 4.1 CONCENTRATIONS OF PM10 AFTER PROJECT IMPLEMENTATION PREDICTED BACKGROUND POST PROJECT CPCB S. INCREMENTAL LOCATION CONCENTRATION CONCENTRATION LIMITS NO CONCENTRATION OF PM10 (g/m3) (g/m3) (g/m3) OF PM10(g/m3) A1-Near Mine lease 1 49.6 7.3 56.9 area 2 A2-Periyathirukonam 60.4 5.9 66.3 3 A3-Edaiyattankudi 51.9 <1.0 52.9 100 4 A4-Ambalavarkattalai 57.5 <1.0 58.5 5 A5-Muniyankurichi 54.8 2.9 57.7 6 A6-Vellippirangiyam 65.8 1.4 67.2 Table No - 4.2 CONCENTRATIONS OF PM2.5 AFTER PROJECT IMPLEMENTATION PREDICTED BACKGROUND POST PROJECT CPCB S. INCREMENTAL LOCATION CONCENTRATION CONCENTRATION LIMITS NO CONCENTRATION OF PM2.5 (g/m3) (g/m3) (g/m3) OF PM2.5 (g/m3) A1-Near Mine lease 1 21.4 4.5 25.9 area 2 A2-Periyathirukonam 26.0 2.6 28.6 3 A3-Edaiyattankudi 22.6 <1.0 23.6 60 4 A4-Ambalavarkattalai 24.6 <1.0 25.6 5 A5-Muniyankurichi 24.2 1.0 25.2 6 A6-Vellippirangiyam 27.2 1.0 28.2 9 Table No - 4.3 CONCENTRATIONS OF SO2 AFTER PROJECT IMPLEMENTATION PREDICTED BACKGROUND POST PROJECT CPCB S.
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