faramarz moattar

In this study, a model for measuring the effects and the physical-economic consequences of air pollutants emitted from Power Plants on urban buildings facades was developed. For the case study, the effect of SO2 pollutant emitted from Rajaee Combined-cycle Power Plant on Qazvin’s buildings’ facades was studied.

To develop this model, the Gaussian plume method was used to estimate the air pollution dispersion and impact pathway assessment (IPA) to calculate the air pollutant external costs. The damage costs of SO2 due to the corrosion of building materials, soiling, and consequently an increase in cleaning expenses of each square meter of urban buildings’ facades were localized. After the validation of the output results of the developed model, the external costs based on the wind speed and different atmospheric stability classification were estimated. Different atmospheric stability classes were examined using the Pasquil-Gifford (P-G) classification.

Based on the facade’s material, the highest external costs were related to the white cement with 36575 dollars (849 million Rials). For the thatch façade, which is the local material of the region, the external cost was estimated to be 5376 dollars (1247 million Rials). Based on the wind speed, the highest external cost was obtained for the wind 1m/s with 139026 dollars (3254 million Rials) and the lowest cost was 352 dollars (82 million Rials) for the wind speed of 20 m/s. For the atmospheric stability classification, the lowest external cost in extremely unstable class (A) and the highest external cost in neutral class (D) have been measured. The external cost due to the SO2 pollutants for the city of Qazvin was 0.009 dollars (2162 Rials) For each megawatt-hour generated electricity.

The results showed that the materials compatible with the local region can have lower external costs compared with the new materials used in the buildings.

Particulate matter, as one of the biggest problems of air pollution in metropolises, is the cause of many respiratory, lung and cardiovascular diseases, which timely awareness and announcement can reduce these adverse effects on human health. Therefore, considering that children are more exposed and more sensitive to this pollution, this research was conducted to introduce an evaluated mathematical model to predict PM2.5 concentration levels, indoor selected preschools located in one of centeral district of Tehran (district 6), using determination of related factors to PM2.5 concentration. Classroom environmental information, Meteorological information and urban fixed monitoring stations data were collected through measuring Indoor and outdoor classroom PM2.5 concentrations using direct-reading instruments, adjusted questionnaire and conducted organizations, simultaneously. Results showed the spring and autumn had the lowest and highest indoor and outdoor concentrations (17.1 and 20.5 μg m-3 & 48.7 and 78 μg m-3respectively). Multiple linear regression model was introduced by statistical analysis and the results of indoor PM2.5 concentration predictions were compared and evaluated with measured data. The results of introduced this model, consisting of identifying seven main factors affecting the mean concentrations of indoor PM2.5, including outdoor PM2.5, the number of pupils, ambient temperature, wind speed, wind direction and open area of the doors and windows, showed that it has good accuracy (R2 = 0.705) and significantly correlated(p < 0.001). The Multiple Linear Regression Model can be used with good accuracy to predict indoor PM2.5 concentration of preschool classes in Tehran.

This study aims to investigate the relationship between the rate of cardiovascular and respiratory death and the average concentration of major air quality index "AQI”, including NO2, SO2, CO, O3 and PM10 in Ahvaz in the period of 10 years (2007 -2017).

 Subjects and Methods:

This analytic study was conducted in Ahvaz, 2019. Data on referrals and the number of hospitalized cardiovascular and respiratory patients and also on air pollutants are obtained through HIS system (Hospital Information System) and air quality monitoring stations in Ahvaz respectively. The data were analyzed by SPSS version 4 and Poisson Distribution Regression Model to evaluate the effects of each pollutant and the rate of hospitalization. In this study, confidence interval and the significance level are considered at 95% and 5% respectively.

Based on the results of Poisson regression analysis, there was a significant relationship between the average concentration of NO2, O3, CO and SO2 and hospitalization of patients with cardiovascular disease,. This was the case with NO2 more than other pollutants. Furthermore, there was a significant relationship between the average concentrations of NO2, CO and O3 and the hospitalization rate of patients. The effect of NO2 was also higher here. Due to the results, NO2, CO, and O3 had a significant direct correlation with cardiovascular and respiratory rates. The effect of NO2 has been higher than other pollutants.

As a result, the consumption of that air pollutants increase the mortality rate of patients by diagnosing cardiovascular and respiratory problems,.

Metro lines are responsible for 20% of the total passenger traffic in Tehran. Particulate matter is one of the most important major pollutants in subway stations and increasing their concentration leads to numerous health consequences for passengers and subway employees. The aim of this study was to investigate the concentration of PM10 and PM2.5 in four underground metro stations (Azadi, Enghelab, Tohid and Vali Asr) and compare them with the concentration of these particles in the open air. Research

Seasonal sampling (April 2016 - April 2017) of particulate matters was conducted in the middle months of all four seasons for one week in the middle months of each season at peak traffic times from 8 am to 12 am, at three locations (entrance, middle, and exit in each station) and also at outside ambient of each station. The results were then compared with the relevant standards.

The main sources of suspended particulate matter in the underground subway stations were due to passenger traffic, train piston pressure, floor cleaning, maintenance operations, wheel-rail wear and braking and the performance of ventilation system in the subway station. The results of the monitoring measurements in this study showed that the annual average concentrations of PM10 and PM2.5 in the four underground subway stations were 68 µg/m3 and 47 µg/m3 and in the outdoor ambient around these stations were 42 and 29 µg/m3, respectively.  

The results of this study showed that in the four underground subway stations, the annual average concentrations of PM10 and PM2.5 were 1.5 - 1.7 times higher than those in the outdoor ambient, respectively.

Flocculation of metals is one of the most important estuarine processes that occur due to the mixing of seawater and river water and colloidal metals undergo this process come in the form of flocculants. Due to the important role of flocculation process in producing suitable food sources for aquatic organisms and reducing the amount of input pollution into aquatic environments, the present study examines the mechanism of heavy metals flocculation in the estuary of the Jarahi River. In the present research, flocculation of dissolved Cd, Ni, Zn, Pb and Mn in the 5 aquariums with salinities ranging from 1 to 3‰ during laboratory mixing of Jarahi River water with the Musa Estuary water (2017) was studied for the first time in 2017. After preparation of samples, the concentrations of elements were measured by ICP. Cluster analysis, a statistical method, was used to determine the effect of chemical and physical parameters of estuarine environment on the flocculation process. The average final flocculation rates of metals are in the following order: Cd (94.9%) > Zn (85.5%) >Pb (58%) >Ni (19%) >Mn (11%). The highest flocculation of metals occurred between salinities of 1 to 2%. Due to the flocculation of trace metals during the estuarine mixing, about on average 64.7, 65.8, 231.7, 52 and 61.4 ton/year of Cd, Ni, Zn, Pb and Mn, respectively, were removed from the river water. Statistical analysis showed that the flocculation rates of Ni, Zn, Pb and Mn are controlled by the same factor. Moreover, it was found that all the investigated parameters (electrical conductivity, salinity, potential reduction, sulfate, chloride and pH) control the flocculation of cadmium but do not play any role in the flocculation of other studied metals (Ni, Zn, Pb and Mn).

Today, the effects of environmental pollution on human life and human needs, which reduces the level of community health caused by traffic noise in large cities, are clearly visible by creating irritation and pathogenic conditions. The aim of this study was to assess the risk of noise pollution resulted from central traffic in Shiraz by analyzing its indicators and related components. By specifying the high traffic jam in Shiraz, the sound and its frequency in 156 points of the city were analyzed using a sound analyzer (Tes-1358C model). The sound pressure levels (LA and LP) and the one and one-third octave band were continuously measured in A and C networks. Then, data were extracted and analyzed using Excel 2016 and Minitab 18.1. Eventually, phon and sone indexes were calculated for the heavy traffic jam in some of the central streets of Shiraz and the results were statistically calculated and their charts were prepared with comfort disturbance ranges. The highest harmful frequency of traffic in Shiraz was 50 Hz and 83.3 dB. The sound pressure level ranged from 70 to 92.7 dB in network A and 87.8 dB in network C. The maximum sound level was 87 phon and the maximum sone was 26 at 14 stations. According to the results, the sound pressure levels exceeded the environmental standards of Iran and the values of phon and sone were higher than the standard of comfort at night and day.

Heavy metals are the main air pollutants in cities. Therefore, assessment of the risk of exposure to these metals through inhalation, ingestion, and dermal contact on inhabitants of contaminated areas of the world is of great importance.
A weekly sampling of air particles smaller than 10 microns was performed in a residential area of Zanjan for two years. Risk assessment in the face of heavy metals from inhalation, ingestion, and dermal contact for were measured for two children and adults. After fingerprinting high-risk metals, the air pollutants of the region were analyzed according to the PMF5 model.
The results showed that children at risk assessment (1.40 × 1000) at the highest concentration of manganese. The PMF5 model results of fingerprinting 15 heavy metals showed that predominant pollutants in the region, included lead and zinc industries with 42.3%, suspended soil with 26.4%, industrial activities with 23.5%, and combustion and fuel with 7.8% of contamination. It was also found that 55.5 percent of manganese emission was associated with lead and zinc industries and 22.4 percent were related to suspended soil.
Risk assessment showed that children were exposed to non cancerous diseases due to inhalation of manganese particles.

Background and Goal: Refineries are the main source of various pollutants, including Hydrogen Sulfide (H2S). Therefore distribution and control processing to meet the environmental standard limits is an important issue in industrial units.The present study was carried out to investigate H2S concentrations and dispersion patterns originating from incinerators of sulfur recovery units in a gas refinery located in Asaluyeh.
In this study, H2S concentrations exhausted from two incinerators’ stacks and also ambient H2S concentrations at five monitoring stations in and around the refinery were measured in four seasons from summer 2014 to spring 2015. Moreover, the ambient concentrations and dispersion of H2S were simulated at average times of 1-hr and 8-hr on 50×50 km2 scale using AERMOD model and the simulated results were compared with the measured ones. Meanwhile, the concentration contour plots and the sensitive regions were determined using GIS.
The simulation results indicated that maximum ambient H2S concentrations were in 1-h average. Assessment of model performance was performed by comparison of H2S simulated and measured concentrations using statistical analysis and showed that the correlation coefficients in summer 2014, autumn 2014, winter 2014 and spring 2015 were 0.77, 0.89, 0.75 and 0.8, respectively.
The results of this study showed that the variations of measured concentrations were consistent with those of simulated ones. Meanwhile, the contribution of neighbor industries was determined. Comparision of 8-h H2S concentrations with OSHA and NIOSH standard limits indicated that there was no significant health risk in this refinery.

Technologies, although is useful to make development, has resulted in environmental degradation and resource depletion. One of the most important energy-consuming industries is food factories that led to release of pollutants into the air, water and soil. The aim of this study was evaluated pollutants emission from stack vegetable oil factory in north of Iran in the summer and fall of 2014.
The samples were taken from stack of factory. The rate of pollutants were determined the type of scrubber. Sampling was done twice in the summer which analyses determined the type of scrubber. After installation scrubber and change the type of fuel, Sampling was again conducted in the fall.
The results showed that the installation of scrubber and change the type of fuel led to all of pollutants reached to the environmental standards of Iran.
Modification of fuel and installation the scrubber could be considered as a strategy to reduce pollutants.

Sampling was conducted on particles smaller than ten microns (PM10) in a high-traffic urban region once a week for two years in which fifteen heavy metals were measured.
positive matrix factorization (EPA-PMF5), was used for source apportionment and characterization of the collected PM10. Assessment of cancer risk resulting from metals including arsenic, cadmium, chromium, nickel and lead was conducted in three concentration ranges of maximum, average and minimum.
Results for children and adults living in the region indicated that cancer risk indexes at different concentration ranges of carcinogenic metals were between 10-4 to 10-6 for adults and children. Since EPA recommendations suggest that planning should be conducted if cancer risk is in the range of 10-4 to 10-6, using PMF5 model, source characterization of pollutants was implemented by all measured heavy metals.
It was found that 41.5% of PM10 resulted from fuel and combustion, 12% from waste dump soil of lead and zinc industries, 35.7% from suspended open soil and 11% from industrial activities. It was also found that cadmium, nickel and, chromium have higher cancer risk than other metals and, suspended open soil, industrial activities and industrial fuel and combustion are the main sources of these metals respectively.

Introduction and Exposure to natural sources of radiation¡ especially radon and its short-term products¡ is an important issue around the world. Radon exposure causes lung cancer in humans. Therefore¡ the aim of this study was to measure the concentration of radon gas and its annual effective dose in Imam Hospital of Tehran¡ Iran and to compare its concentrations with the recommended standards.
Radon levels and meteorological parameters (temperature¡ pressure¡ and moisture) were measured in different levels and in four seasons¡ using Radstar and Lutron Electronic devices¡ respectively¡ during June 2014-June 2015. The collected data were analyzed through SPSS 18. Annual effective dose was calculated¡ using the equation for annual effective dose introduced by Scientific Committee of the United Nations.
The highest concentration of radon and annual effective dose were observed in the winter¡ which were 82/15 Bq/m3 and0/48 ms/y¡ respectively. Furthermore¡ concerning the various levels¡ the highest concentration was observed in the lowest level (56/1 Bq/m3).
The results of the current study demonstrated that radon concentration was lower than the standards set by Environmental Protection Agency and World Health Organization. Regarding this¡ there are not concerns about the possible dangers of radon gas activities for the personnel and patients of the hospital.

Metal concentrations in 53 soil samples of Shahr-e-Babak were determined.   Assessment of enrichment factor and geo-accumulation index revealed higher degree of contamination of Cd, Pb, and Cu in soil samples. Moreover, results of metal fractionation study revealed high amount of Cd and Pb are associated in weakly bounds may lead to environmental risk of these metals.   According to the results of risk assessment code and pollution index, Cd and Pb have the high risk of release and pollution degree in soil samples of Shahr-e-Babak. A new quality index named industrial pollution index was developed based on background values of metal and their toxicity in soil samples. Results exhibits higher degree of pollution based on new index (Iind) in south-eastern and central part of the study area where is close to the main anthropogenic sources.

This research shows one year dosimeter data collection on a certain number of oil industry workers who were engaged in well logging procedures. It also shows the result of a survey conducted based on the emission of radioactive substances in the work place. Based on all the information gathered, we can conclude that, "radioisotopes can be used in oil industries without a noticeable danger to workers and environment. However, those workers who are exposed to the radiation must be aware of possible dangers and they must follow specific procedures to prevent the ionizing radiation exposure''. In the present study, we measured the amount of annual ionizing radiation exposure, ranging from the lowest of 0.25 milli-sievert to the highest of 1.44 milli-sievert. Also, it is estimated that the amount of environmental exposure is 300000 milli-sievert. In addition, studying the medical files of those members of staff who were exposed to ionizing radiation did not show any evidence of exposure related to ionizing radiation, in particular to Neutron exposure.

Heavy metals are the most important pollutant factors of water resources specially rivers. Entrance of metals in natural aquatic ecosystems arises from discharging of domestic, agricultural and industrial sewage. With respect to the health risks possibility and also importance of aquatic ecosystems, in this study the amounts of Pb, Zn, Ni elements in Goharrood river of Rasht were measured. The samples were collected in nine stages from five stations. Experiments were done by atomic absorption instruments. Results showed that the average amounts of Pb, Zn and Ni all along the river were respectively 3830, 156 119,31 15 ppb. Maximum amounts were measured as follows: Pb 168 ppb in station 3, Zn 513 ppb in station 4 and Ni 60 ppm in station4. ANOVA doesnt show significant difference between the measured average amounts of Pb, but there is significant difference between the average amounts of Zn and Ni elements in different stations. This paper shows that the stations inside the city measured a larger amount of the elements. This can be a result of discharging large amounts of domestic and industrial waste water to this part of the river. Rates of the elements in Goharrood river were found to be over the maximum acceptable rates determined by the department of environment for keeping aquatic organisms alive since Goharrood river is one of the routes for water to enter Anzali wetland, there is a possibility of increased biological risks in fish and human bodies.

In the recent years، rapid growth of the world’s population and overutilization of fresh water resources have caused fresh water shortage crisis in the world. In spite of the agricultural activities in the Northern beaches of Iran and also severe decrease of the ground water level، it still has not taken any effective measures to desalinate Caspian Sea water in large scale. In this research، desalination of Caspian Sea water by Silica Nano-Particles with the diameter less than 50 nano meters for agricultural usage has been studied. In this study، by primary experiments the concentrations of the studied parameters including Electrical Conductivity (EC)، Sodium (Na)، Potassium (K)، Calcium (Ca)، Magnesium (Mg) and Turbidity of the sea water raw sample were measured. By useing of Jar Test، various dosages of Silica Nano- Particles and the wide ranges of pH were examined. The results show that the 0. 45 gr/lit of Silica Nano-Particles is the optimum dosage and pH=10 is the optimum pH for desalinating of Caspian Sea water. Meanwhile، the results revealed the extraordinary effect of Silica Nano-Particles on the studied parameters and has reduced their concentrations significantly so that the concentrations of Na، K which are the most important factors for water salinity، reached to zero.

Asbestos fibers are used extensively in various industries including brake and clutch linings and airborne asbestos emission in urban environments can induce serious effects on human health، including pulmonary fibrosis and mesothelioma. The aim of this study was to access asbestos fibers emission in high traffic area of Tabriz city.

In this study، that was down 2012 (between ……. a ……) the concentration of asbestos fibers was measured at 12 high traffic areas of Tabriz city. The air samples were collected on membrane filters using integrated environmental sampling method for identification of asbestos fibers phase-contrast optical microscope was used to count the fibers with a length to width ratio greater than three.

The average concentration of asbestos fibers in high traffic areas (0/001 ± 0/0003 fiber /ml of air) was far more than the standard limits (0/00005 fiber/ ml of air). Also، the results of this study showed that the highest concentration of asbestos fibers was found in downtown area of Baghshmal square (0/0004 ± 0/0012 fiber/ml of air) and the lowest concentration was found in Shariati square (0/00056 ± 0/00012 fiber/ml of air).

This study showed that emissions of asbestos fibers from urban sources like such as vehicle brakes is so high that could create، increased respiratory complications and obligates us for more preventive measures.

This research was conducted to determine levels of heavy metals pollution in air near nuclear power plant I Tehran-Iran. Concentration of heavy metal (lead & cadmium) has been measured and analyzed in different seasons. Air sampling was done by HI-VI (High Volume Sampler) in different seasons. The preparation of heavy metal samples were determined by atomic absorption spectrophotometry. The results were analyzed by Spss software. Results showed average concentration of Pb and Cd was 0.41, 0.04 μ g/m3 respectively in the second half of the year that were below than the standards (1.5, 0.15 g/m3μ). The results confirm that the concentration of heavy metals (lead and cadmium) depends on the circumstances especially precipitation and air turbulence which were reduced during precipitation, also in inversion situation concentration of heavy metals increases because of being lower than international standard even in inversion situation.

An ecological risk assessment (ERA) was conducted for Shadegan Wetland in Iran. The objective of this study was to assess the risk to phytoplankton, zooplankton, invertebrate, insect larvae, and fish affected by pesticide in Shadegan Wetland. Five pesticides (DDT, Aldrine, Dieldrin, Ametryn and Lindane) were assessed to evaluate the impact to aquatic community in the Shadegan Wetland. The risk quotient (RQ) served as calculation in water concentration and toxicant reference values of five pesticides. The results of RQ method showed that RQs for shirbot or large scaled barb (Barbus grypus), benni (Barbus sharpeyi), golden barb (Barbus luteus) and insect larvae (Chironomus sp.) were high and the environment at risk of harmful pesticides. It is recommended that proper strategies should be implemented to reduce the risks.

One of the major contributors of air pollution in large cities is the urban car traffic which imposes a huge financial and life expenses to the society. In order to reduce these expenses, car manufacturers keep adopting new innovation to decrease pollutants` level.In recent years, direct injection engines have been introduced which electronically control fuel flow using Engine Control Unit (ECU). This goal has been achieved to some degree. Adjusting and calibrating the Engine Management System (EMS) becomes more important day by day. The most important task of EMS is to reach the optimum point in pollutant, fuel consumption and vehicle performance.In this study while calibrating EMS efficiently, the cost and time spent is reduced using DoE simulating techniques and the effects of various parameters on its performance are studied. Hence knowing all inputs such as speed, load and desired outputs such as pollutants and engine torque, MBC Model – module from MATLAB software – has been used. Another next module from MATLAB that is named CAGE is implemented to improve the above mentioned model. By using this method, the effects of EMS` calibration can be studied on different parameters and upon needs, change them. The new parameters are entered into ECU and from there new commands are released to actuators. Therefore achievement to optimal engine function like vehicle performance, pollutant and fuel consumption by minimum expenses and time with high accuracy will be performed.

Some experimental studies revealed that exposure to air pollution increases the expression of tissue factor (TF) in atherosclerotic lesions. We aimed to investigate the role of TF +5466A>G (rs3917643) polymorphism in the association of air pollution on serum levels of TF as a biomarker of vascular injury in children. This cross-sectional study was conducted among 110 children, consisting of 58 (52.8%) girls and 52 (47.2%) boys with a mean age of 12.7 + 2.3 years, living in Isfahan, Iran. Enzyme-linked immunosorbent assay were used for measurement of serum TF. Genotype of +5466A>G (rs3917643) polymorphism was determined by the polymerase chain reaction–restriction length fragment polymorphism (PCR–RFLP) method. We identified 2 individuals with +5466AG genotype and 108 homozygous for the +5466A allele (no +5466GG homozygotes). The mean pollution standards index (PSI) value was at moderate level, the mean particular matter measuring up to 10 μm (PM10) was more than twice the normal level. Multiple linear regression analysis showed that after adjustment for confounding factors (weight status, dietary and physical activity pattern), serum TF level had significant relationship with PSI (beta: 0.55, SE: 0.07, P < 0.001) and PM10 (beta: 0.51, SE: 0.03, P = 0.001). In spite of similar genetic polymorphism of TF, air pollutants might have an independent association with systemic inflammatory and coagulation responses. The harmful effects of air pollutants on the first stages of atherosclerosis in the pediatric age group should be underscored in primordial and primary prevention of chronic diseases.

 This study is aimed at assessing the effectiveness of Cannabis sativa in the absorption of cesium and strontium elements from the soil. 

 This study was conducted in 2011, in Tehran, Iran. We employed the phytoremediation technology to refine the contamination of soil with radioactive material such as cesium and strontium. Cannabis sativa was selected because of its capability for potential radioactive absorption. It was planted in various soils with different concentrations of cesium and strontium (20 ppm, 40 ppm, 60 ppm, and 80 ppm), and after sufficient growth for about six months, it was separated into root, stem, and leaves for measuring the absorption of these elements in the main parts of the plant. The samples were measured by using the Inductively Coupled Plasma (ICP) method. 

 Strontium absorption and the main parts of the plant showed a significant relationship. The percentage of strontium absorption was 45% in the root, 40% in the stem, and the minimum absorption was found in the leaves (15%), but the corresponding figure was not significant for the cesium element. A strontium concentration of 60 ppm was possibly the maximum absorption concentration by Cannabis. 

 Our findings suggest that strontium can be absorbed by Cannabis sativa, with the highest absorption by the roots, stems, and leaves. However, cesium does not reach the plant because of its single capacity and inactive complex formation.

Population growth, industries development, water consumption increase of lotic water Pollution due to the lack of controlling output waste water of manufacturing plants, municipal and agricultural areas has decreased water quality. Among several pollutants, heavy metals in line of river self purification do not decrease and accumulate in river-bed sediments and aquatic animals’ body as well as causing biomagnifications by entering to the food chain. in this study, the capability of white water lily (Nymphaea Alba) has been surveyed in field of uptake and accumulation of heavy metals such as Pb, Cd and Mn (in form of synthetic to simulate with natural environment) in four concentration level such as 5, 2.5, 1 and 10 mg/l and 3 pH medium such as 6.5, 5.5 and 7.5 under the laboratorial conditions. The result of research according to the coefficient of correlation and cluster analysis statistical method shows that Cd and Mn accumulation level in water lily tissue decrease by increasing the metals’ concentration. The maximum of Mn accumulation (3.455 mg/gr) has been in Con. =1 mg/l and pH=7.5 and the maximum of Cd accumulation (0.55 mg/gr) has been in Con. =5 mg/l and pH=6.5. About lead, by increasing of Pb concentration, Pb uptake has decreased as well, but in Con. =10 mg/l and pH=5.5 has increased dramatically. The rest of mentioned heavy metals in laboratorial solutions have been had ascending trend by increasing the metal concentrations up to the end of 10 mg/l, but by increase of pH in each metal concentration has been had decreasing trend. Totally, the maximum of the rest of metals is related to Cd (3.38 mg/l) and the minimum is due to Mn (0.002 mg/l). By considering to the results, it could be understood that white water lily can be used as biological filter and phytoremediation method in order to heavy metals’ elimination from industrial waste water because of resistance against wetlands and lakes environmental conditions, quick growth, simple cultivation and its good adaptation with environment. population and the capacity of garbage production in present routes and using mathematical relation and GIS. Optimized system of solid waste was calculated and designed. The results of time evaluation of the present management system shows that the whole spent time for solid waste collection and transportation Karmandan town by garbage trucks takes 2 hours, 55 minutes and 42 seconds and the mean time of the trucks round trip per ton of solid waste In each journey is 11 minutes and 44 seconds. Considering locating of storages and assigning the optimized routs, solid waste collection system was calculated and designed using mathematical relation and GIS.. In this research designing solid waste collection system of karmandan town was also carried out and 60 containers with the capacity of 550 and 660 liters were located in the town. With designing optimized routs by GIS and trial and error method, there tracks including a reserved truck were calculated and recommended to collect the solid waste of karmandan town.