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A RESEARCH PROPOSAL ON

ASSESSMENT OF HEAVY METALS CONTAMINATION

IN ROAD DUST FROM DIFFERENT ENVIRONMENTAL

SETUPS IN KATHMANDU METROPOLITAN CITY

Submitted to:

Government of Nepal

Ministry of Forest and Environment

Department of Environment,

Babarmahal, Kathmandu

Through:

Central Department of Environmental Science

Tribhuvan University

Kirtipur, Kathmandu

Submitted By:

Tejendra Regmi

M.Sc Environmental Science 4 th Semester

Campus Roll No.: 35

T.U. Registration No: 5-2-23-515-2012

Dec, 2019


Table of Content

Page no.

Table of Content ...................................................................................................... ii

List of Tables .......................................................................................................... iii

List of Figure .......................................................................................................... iii

Abbrevations and Acronyms ................................................................................. iv

1. Introduction ......................................................................................................... 1

1.1 Background .................................................................................................... 1

1.2 Statement of the Problem .............................................................................. 2

1.3 Aims and Objectives ...................................................................................... 2

2. Methods and Materials ........................................................................................ 3

2.1 Study area....................................................................................................... 3

2.2 Methods of Data Collection ........................................................................... 3

2.3 Sampling Procedures ..................................................................................... 6

2.4 Data Analysis .................................................................................................. 6

2.5 Research Matrix ............................................................................................. 7

3. Expected Outcomes ............................................................................................. 8

4. Time Frame ......................................................................................................... 9

5. Budget Allocation .............................................................................................. 10

References: ............................................................................................................ 11

ii


List of Tables

Page No

Table 1: Cd, E i r, RI, the corresponding pollution degree and potential ecological risk

degree ....................................................................................................................... 7

Table 2: Timeline required for the completion of the study ........................................ 9

Table 3: Budget required for carrying out the specified research .............................. 10

List of Figure

Page No

Figure 1: Map of the study site .................................................................................. 3

iii


Abbrevations and Acronyms

°C Degree Celsius

µg /g micro gram per gram

CDES

g

GPS

km

KMC

mg/lit

mL

mm

ppm

RI

Rs.

TU

Central Department of Environmental Science

gram

Global Positioning System

Kilometer

Kathmandu Metropolitan City

milligram per liter

milliliter

milimeter

Parts per Millions

Risk Index

Rupees

Tribhuvan University

iv


1. Introduction

1.1 Background

Due to rapid urbanization and industrialization, road dust has been one of the most

common pollutants in the context of urbanized world. It has been reported that toxic

organic and inorganic pollutants has been the major components mainly trace metals

in urban dust (Saeedi et al., 2012). The major sources of these trace elements in road

dust in urban road may be from industrial dust discharges, traffic emissions,

atmospheric deposition and other anthropogenic activities, as well as natural

geochemical processes (Manasreh, 2010).

The contaminants like Copper (Cu), Nickel (Ni), Lead (Pb) and Zinc (Zn) mainly

concentrated in heavy traffic area and tourism area due to vehicular emission (Wei et

al. 2015). The reason behind the concentration of Cadmium (Cd) and Chromium (Cr)

is due to industrial activities (Martinez & Poleto, 2014). The higher anthropogenic

heavy metals in dust can be mainly from heavy traffic sites and industrial sites (Alkhashman,

2007). The contamination of heavy metals in Road side environment and

their impact on ecosystems can be caused by many natural factors, such as parent

material, climate, and soil processes, and anthropogenic activities such as industry,

agriculture, and transportation (Luo et al., 2007). These elements can exist in urban

environments for a long time or be resuspended into the atmosphere and can be easily

entered the human body likely occurs direct inhalation, ingestion and skin contact

(Kong et al., 2011).

During the recent decades, numbers of studies on toxic metals in road dust have been

done. Some scientist found that the concentration and spatial distribution of toxic

metals in urban road dust were concerned with the urban different land uses and

anthropogenic activities (Wang et al., 2016). Contamination of the soil over the

natural level by Pb, Zn, Cr, and Co could be one of the indicators of anthropogenic

environmental pollution. With the rapid industrialization and population growth and

intensification of road traffic are regarded as causes of ecosystem pollution in urban

areas (Jankiewicz et al., 2010). Vehicular, resuspension and waste incineration were

the most common sources of particulate matter and their associated metal ions at

outdoor points whereas in indoors they are generated due to the fuel combustion

which happens during cooking, frying and the other sources were smoking and house

dust (Kulshrestha et. al., 2019) . The most frequently reported heavy metals of

concern have been Pb, Zn, and Cu in roadside soils are principally derived from

vehicle emissions, and wear and tear on automobile parts (Wang et al., 2007).

The heavy metal contaminations in street dust of Kathmandu metropolitan city show a

considerable decrease from place of high activities to a place of low activities

(mechanical workshops to residential areas) (Tamrakar et.al, 2011). The average

metal concentrations of Cd, Cu, Pb and Zn in dust of all the types of land use in

Kathmandu showed different classes of metal contamination in street dust of

Kathmandu indicating traffic emission, automobiles, construction and demolition

activities and other anthropogenic activities as the potential sources (Shakya et. al,

2019). According to Yadav et al., 2018, the distribution of heavy metals (Cr, Ni, Sb,

Ag, Pb, Cu, and Zn) in dust and soil are mainly affected by anthropogenic sources

particularly traffic emissions, industrial sources, and domestics households materials

whereas Co, Fe, As, Mn and Cd were from the natural sources.

1


There are fundamental proofs that high metal contamination level on environment

mainly causes growth retardation and effect behaviour and intelligence in children, as

well as other chronic diseases in adults (Dietrich et al., 1990). Therefore, road dust

has the capacity to acts as a potential agent to degrade the local environmental quality

and public health (Oskarson et al. 1995).

1.2 Statement of the Problem

The pollution has always been the major issues and problem for the developing

countries like Nepal. Especially in the urban cities of countries like Nepal, dust has

been the major threat for the deterioration of human as well as Environmental health.

So the study regarding the constituent of urban dust is necessary. These types of

research are equally helpful for the concerned bodies in urban development and

planning. This study can acts as the theoretical framework for the future urbanization

and industrialization development in newly places cities according to the Nepal

government planning under urban development.

1.3 Aims and Objectives

Aims

Since, the study is completely concerned with heavy metal assessment, so it gives the

clear pictorial representation of exposure of metal concentration in the urban dust and

the potential threat to the urban environment. The major aim of this study lies in

obtaining the metal concentration in the urban dust with determination of source of

heavy metals in urban dust with their ecological risks. This study serves as a

theoretical source for urban environmental quality monitoring and management.

Objectives

The general objective of the study is to assess heavy metal concentration in Road dust

with detection of their source and determined theirs pollution level on different

environment. The specific objectives of the study are:

i. To determined the heavy metals (Pb, Zn, Cd and Cu) concentration in road

dust from different environmental Setups.

ii. To detect the selected metals possible sources and

iii. To estimate the potential ecological risk index to assess the pollution level of

heavy metals on environment.

2


2. Methods and Materials

2.1 Study area

Kathmandu, the capital city of Nepal lies in Province No. 4 is located in central part

of Nepal. Kathmandu Valley is in the Warm Temperate Zone (elevation ranging from

1,200 to 2,300 meters (3,900 to 7,500 ft)), where the climate is fairly temperate,

atypical for the region. This zone is followed by the Cool Temperate Zone with

elevation varying between 2,100 and 3,300 meters (6,900 and 10,800 ft). Under Köppen's

climate classification, portions of the city with lower elevations have a humid

subtropical climate (Cwa), while portions of the city with higher elevations generally

have a subtropical highland climate (Cwb). In the Kathmandu Valley, which is

representative of its valley's climate, the average summer temperature varies from 28

to 30 °C (82 to 86 °F). The average winter temperature is 10.1 °C (50.2 °F).

Kathmandu Valley is growing at 4 percent per year according to World Bank in 2010,

one of the fastest-growing metropolitan areas in South Asia, and the first region in

Nepal to face the unprecedented challenges of rapid urbanization and modernization

at a metropolitan scale.

Figure 1: Map of the study site

2.2 Methods of Data Collection

Primary Data

The primary data will be collected from the field and lab by heavy metal analysis. The

data obtained from it will then use to determine the possible sources of selected

metals. Also, potential ecological risk assessment by Hakanson’s method (1980).

3


Secondary Data

The secondary will be collected for journals, articles, broachers, and different relevant

literature in order to compare the results with other research studies.

2.3 Sampling Procedures

A total of 30 road dust samples will be collected from different environmental setups

in KMC during the dry weather period, i.e., industrial area (N=5), business area

(N=5), traffic area (N=5), educational area (N=5), residential area (N=5) and public

area (N=5). In this study, 1m×1m grids will be applied on each traffic road surface

edge, a mixture of multi-point samples will be collected in polyethylene bags by

sweeping with a clean plastic brush to be representative of each grid.

The dust samples will be air-dried naturally in the laboratory for at least 2 weeks and

then will sieve through a 0.84 mm nylon sieve to remove extraneous matter such as

small paving stones, hair and other impurities. Then each dried dust sample will be

separated using the quartering method and sieved through a 0.149 mm nylon sieve,

and finally all the samples respectively will store in polyethylene bags, which aims to

prevent cross-contamination. Determination the concentration of total heavy metals

(Pb, Zn, Cd, Cu) will be carried out using atomic absorption spectrometry (ASS) -

Flame Photometry. All analyses were performed in triplicate.

2.4 Data Analysis

Metal concentration will be calculated using the working formula given below:

Concentration of metal, μg Observed conc. (ppm) ∗ Vol. of sample prepared (mL)

=

g

Wt. of dust sample (g)

I will use the concentration for undisturbed areas from the current study as

background value (control) metal contents. The selected undisturbed areas are lands

without evidence of past and current anthropogenic activities and no signals of

disturbances were observed during the sampling.

In this study, the description statistical of heavy metals in the samples from different

environmental areas, including mean concentration, maximum, minimum and

coefficient of variation (CV) will be calculated with R software. To identify the

source and to determine the relationship among the heavy metals, the correlation

coefficient analysis (CA) and principal component analysis (PCA) will be also

performed within R software (Version 3.6.0).

Hakanson’s method (1980) will use to reflect potential ecological risk of each metal

and associates their contamination level and toxicity level in dust (Ogunkunle &

Fatoba, 2013). The calculation method as follows:

Ci r = Ci/Cn ……………………………….(1)

Cd= Σ Ci r

E i r= Tr * Ci r

RI= Σ E i r

……………………………….(2)

……………………………….(3)

……………………………….(4)

where, Ci is the measured concentration of a road dust sample, Cn is the background

value, Ci r corresponds to the pollution factor for each metal and Cd corresponds to the

pollution factor of multiple heavy metals, E i r shows the potential ecological risk of

each metal, RI is the potential ecological risk index of multiple heavy metals, Tr is the

6


toxic response coefficient that are Hg (40), Cd (30), As (10), Cu (5), Pb (5), Ni (5), Cr

(2), Zn (1), respectively. Classification of heavy metal contamination and potential

ecological risk assessment are showed in Table 1.

Table 1: Cd, E i r, RI, the corresponding pollution degree and potential ecological

risk degree

C d E i r RI

Value Category Value Category Value Category

<8 Low <40 Low <150 Low

8-16 Moderate 40-80 Moderate 150-300 Moderate

16-32 Considerable 80-160 Considerable 300-600 Considerable

>=32 Very High 160-320 High >=600 Very High

>=320 Very High

Source: (Ogunkunle & Fatoba, 2013)

2.5 Research Matrix

Objectives Methodology Statistical Analysis

To determined the heavy Atomic absorption ‣ Mean concentration,

metals (Pb, Zn, Cd and spectrometry (ASS) - ‣ Maximum,

Cu) concentration in road Flame Photometry

Minimum and

dust from different

‣ Coefficient of

environmental Setups

Variation (CV)

To detect the selected

metals possible sources

Description

Methods

statistical

‣ Coefficient Analysis

(CA)

‣ Principal Component

Analysis (PCA)

To estimate the potential

ecological risk index to

assess the pollution level

of heavy metals on

environment

Hakanson’s

(1980)

method

‣ Pollution factor

‣ potential ecological

risk index

7


3. Expected Outcomes

‣ Heavy metals concentration in road dust of KMC can be estimated which reflects

the exposure of human and environment to their potential threat.

‣ Identifications of major sources of metals in the studied dust can be helpful for

the concerned bodies to get remedies for the impacts.

‣ Measurement of potential ecological risk index to estimate the pollution level of

heavy metals to the exposure environment.

‣ Study can be theoretical model for the city planning and development for

developing countries like Nepal

‣ This research could be platform for Environmental quality monitoring and

management issue of urban area

8


4. Time Frame

Table 2: Timeline required for the completion of the study

SN

1

2

3

4

Activities of the

research

Issue

identification

Literature

Review

Consultation with

the supervisor

Collection of the

reference

materials

2019 AD 2020 AD

Nov Dec Jan Feb Mar Apr May Jun

5 Field activities

6

7

8

Data analysis and

interpretation

Report writing

initiation

Report

submission

9


5. Budget Allocation

Table 3: Budget required for carrying out the specified research

S.N. Particulars Qty. unit Rate

(NRs)

Amount

(NRs)

Remarks

1 Literature review 1500 Photocopy , Digital data and

other expenses are included

for the collection of

literature

2. Field visit:

Transportation

Fooding

1 30 500 15000 It includes field trips, 10

days including researcher

and field assistance

4 Consultation with

local level and

experts

1 4 500 2000 Consultation with key

informant, experts,

Government officers

5. Stationary Expenses 1 5 1000 5000 Cost required for printing

and binding of the final

report etc.

6. Lab Cost 30 4 500 60000 Different chemicals and

instruments

Total cost 83500

10


References:

Al-khashman, O.A. (2007). Determination of metal accumulation in deposited street

dusts in Amman, Jordan. Environmental Geochemistry & Health, 29, 1–10.

Dietrich, K.N., Succop, P.A., Bornschein, R.L., Kraft, K.M., Berger, O., Hammond,

P.B., & Buncher, C.R. (1990). Lead exposure and neurobehavioral

development in later infancy. Environmental Health Perspectives, 89, 13–19.

Hakanson, L. (1980). Anecological risk index for aquatic pollution control. A

sedimentological approach. Water Research, 14, 975–1001.Ogunkunle, C.O.,

& Fatoba, P.O. (2013). Pollution loads and the ecological risk assessment of

soil heavy metals around a mega cement factory in southwest Nigeria. Polish

Journal of Environmental Studies, 22, 487–493

JANKIEWICZ B., ADAMCZYK D. ( 2010). Assessing Heavy Metal Content in Soils

Surrounding a Power Plant, Short communication, Pol. J. Environ. Stud. 19,

(4), 849.

Kulshrestha, A., Massey, D.D., Masih, J. and Taneja, A. (2019). Source

Characterization of Trace Elements in Indoor Environments at Urban, Rural

and Roadside Sites in a Semi Arid Region of India. Aerosol Air Qual. Res. 14:

1738-1751. doi: 10.4209/aaqr.2013.05.0147.

Luo W, Wang T, Lu Y, Giesy JP, Shi Y, Zheng Y, Xing Y, Wu G (2007). Landscape

ecology of the Guanting Reservoir, Beijing, China: multivariate and

geostatistical analyses of metals in soils. Environ Pollut.;146(2) 567-576.

doi:10.1016/j.envpol.2006.08.001. PMID: 17010487.

Manasreh, W.A. (2010). Assessment of trace metals in street dust of Mutah City,

Kurak, Jordan. Carpathian Journal of Earth & Environmental Sciences, 5, 5–

12.

Martinez, L.L.G., & Poleto, C. (2014). Assessment of diffuse pollution associated

with metals in urban sediments using the geoaccumulation index (Igeo).

Journal of Soils & Sediments, 14, 1251–1257.

Oskarson, A., Palminger, H.I., & Sundberg J. (1995). Exposure to toxic elements via

breast milk. Analyst, 120, 768–770.

Saeedi, M., Li, L.Y., & Salmanzadeh, M. (2012). Heavy metals and polycyclic

aromatic hydrocarbons: pollution and ecological risk assessment in street dust

of Tehran. Journal of Hazardous Materials, 228, 9–17.

Shakya, S., Baral, S., Belbase, P., Siddique, M. N., Samoh, A. N., Das, B., Shrestha,

P., & Shakya, P. (2019). Determination and Contamination Assessment of

Heavy Metals in Street Dust from Different Types of Land-Use in Kathmandu

District, Nepal. Journal of Institute of Science and Technology, 24(1), 6-18.

https://doi.org/10.3126/jist.v24i1.24622

Tamrakar, Chirika & Shakya, Pawan. (2011). Assessment of Heavy Metals in Street

Dust in Kathmandu Metropolitan City and their Possible Impacts on the

Environment. Pak J Anal Environ Chem. 12. 32-41.

11


WANG X.S., QIN Y. (2007) Relationships between heavy metals and iron oxides,

fulvic acids, particle size fractions in urban roadside soils. Environ. Geol. 52,

63.

Wang, Q., Lu, X., & Pan, H. (2016). Analysis of heavy metals in the re-suspended

road dusts from different functional areas in Xi’an, China. Environmental

Science & Pollution Research, 23, 1–9.

Yadav, Ishwar & Devi, Ningombam & Singh, Vipin & Li, Jun & Zhang, Gan. (2018).

Spatial distribution, source analysis, and health risk assessment of heavy

metals contamination in house dust and surface soil from four major cities of

Nepal. Chemosphere. 218. 10.1016/j.chemosphere.2018.11.202.

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