scholarly journals Seasonal Particulate Matter (PM10) Concentration in Klang Valley, Malaysia

2018 ◽  
Vol 7 (3.11) ◽  
pp. 162 ◽  
Author(s):  
Arnis Asmat ◽  
Siti Norhayati Mohamad Tarmizi ◽  
Nur Hidayah Zakaria
Keyword(s):  
Spatial Distribution ◽  
Particulate Matter ◽  
Industrial Pollution ◽  
Southwest Monsoon ◽  
Pm10 Concentration ◽  
Northeast Monsoon ◽  
Kriging Method ◽  
Distribution Map ◽  
Klang Valley ◽  
Spatial Distribution Map

This paper presents a study on Seasonal Particulate Matter (PM10) concentration at selected region in Klang Valley for two years database (2002-2004). The study aimed to analyse on how the distribution of PM10 concentration has changed over monsoonal. Kriging method was employed for interpolating PM10 concentration over limited dataset from seven monitoring stations in Klang Valley. Results found that higher PM10 concentration was recorded during Southwest monsoon (65.92μg/m-3) followed by both inter-monsoon (62.17μg/m-3) and (59.13μg/m-3) respectively. Meanwhile, the lowest concentration (36.67μg/m-3) was recorded during northeast monsoon. From the distribution, Klang station has recorded the highest PM10 concentration throughout the season, followed by Kuala Selangor (59.33μg/m-3). Hulu Langat and Gombak stations have shown the lowest concentration of PM10, (40.92μg/m-3) and (36.67μg/m-3) respectively. The spatial distribution map indicated that the PM10concentration level is not only determining by seasonal but also depends on location of monitoring station itself. The concentration may increase if the station is closer to the proximity of urban and industrial pollution sources.  

scholarly journals Flood risk spatial index analysis in the coastal Pekalongan, Central Java, Indonesia

2020 ◽  
Vol 202 ◽  
pp. 06028
Author(s):  
Ratna Mustika Anindita ◽  
Indah Susilowati ◽  
Fuad Muhammad
Keyword(s):  
Spatial Distribution ◽  
Flood Risk ◽  
Risk Index ◽  
Spatial Index ◽  
North Coast ◽  
Distribution Map ◽  
High Level ◽  
Spatial Distribution Map ◽  
Very High ◽  
Level Of Risk

The North coast of Java is increasingly exposed to flood risks due to land subsidence and climate change, resulting in sea-level rise. This paper developed a flood risk spatial index model in the coastal Pekalongan. The model was systematically arranged from various flood risk indicators related to the social, economic, and environment of coastal Pekalongan based on surveys and interviews with the communities and regional governments. These indicators are then integrated into hazard and vulnerability as components of risk. Using the index system method and ArcGIS, the risk index is classified into five levels (very high, high, medium, low, very low) and generated into a flood risk spatial distribution map. We found that the risk in the study area varies between a medium to a very high level of risk. The very high level of risk was located in Tratebang, Pecakaran, and Tegaldowo Village. A risk spatial distribution map can be used to evaluate potential risks and flood mitigation.

scholarly journals Spatial distribution of PM<sub>1</sub> and PM<sub>10</sub> during Saharan dust episodes in Athens, Greece

2009 ◽  
Vol 3 (1) ◽  
pp. 59-62 ◽  
Author(s):  
K. N. Grigoropoulos ◽  
P. T. Nastos ◽  
G. Ferentinos
Keyword(s):  
European Union ◽  
Spatial Distribution ◽  
Particulate Matter ◽  
Saharan Dust ◽  
Scattering Method ◽  
Southern Europe ◽  
The European Union ◽  
Kriging Method ◽  
Recorded Data ◽  
Dust Events

Abstract. The objective of this study is to present and analyse the spatial distribution of PM1 (particulate matter with diameter less than 1 μm) and PM10 (particulate matter with diameter less than 10 μm) within the greater area of Athens (GAA), Greece, during two extreme Saharan dust episodes in 2006 and 2008. Two portable detectors, based on light scattering method, were used to record the particulate matter concentrations. The samples were collected in the same morning hour of the day which coincided with the peak of vehicles traffic. We analysed the recorded data on normal days and on days with extreme Saharan dust events in order to find out the exceedances of the particulate matter concentrations. Using Kriging method, the spatial patterns of PM1 and PM10 concentrations were constructed for GAA. It is already known that particulate matter represent the main hazard in cardiovascular and respiratory syndromes within the most polluted cities of Europe, which confront high traffic problems, amplified by Saharan dust episodes, which are frequent especially in the Southern Europe, during spring time. The results of the performed analysis showed that during these episodes, PM concentrations over exceed the thresholds set by the European Union, exacerbating the human health in Athens.

scholarly journals Analisis Spektral Data Curah Hujan di Sulawesi Utara

Jurnal MIPA ◽  
2013 ◽  
Vol 2 (2) ◽  
pp. 133
Author(s):  
Novvria Sagita ◽  
As'ari . ◽  
Wandayantolis .
Keyword(s):  
Fourier Transform ◽  
Spatial Distribution ◽  
Spectral Density ◽  
Fast Fourier Transform ◽  
Research Use ◽  
Distribution Map ◽  
North Sulawesi ◽  
Rainfall Patterns ◽  
Spatial Distribution Map

Penelitian ini mengkaji lebih dalam perbedaaan pola curah hujan di Sulawesi Utara. Penelitian menggunakan data 12 stasiun atau pos pengamatan curah hujan di Sulawesi Utara dengan menggunakan teknik Fast Fourier Transform (FFT). Tujuan penelitian ini adalah membuat peta distribusi spasial periodisitas spektral curah hujan di wilayah Sulawesi Utara, sehingga dapat dianalisis fenomena cuaca yang mempengaruhi curah hujan di beberapa wilayah di Sulawesi Utara. Hasil penelitian ini menunjukkan bahwa Sulawesi Utara diklasifikasikan menjadi 2 tipe periodisitas curah hujan yang memiliki kekuatan kerapatan spektral tertinggi dengan periode 36 dasarian dan periode 18 dasarian. Sulawesi Utara juga diklasifikasikan menjadi 5 tipe periodisitas curah hujan yang memiliki kekuatan kerapatan spektral tertinggi ke dua dengan periode 3-11 dasarian, periode 18 dasarian, periode 36 dasarian, periode 60-110 dasarian dan periode 359 dasarian.This research examines more deeply the differences in rainfall patterns in Northern Sulawesi. This research use the data from 12 stations or rainfall observation posts in North Sulawesi by using the technique of Fast Fourier Transform (FFT). The purpose of this research is to create a spatial distribution map of rainfall spectral periodicity in North Sulawesi in order to analyze weather phenomena that affect rainfall in some areas in North Sulawesi. Based on the results of this study, North Sulawesi is classified into 2 types of rainfall periodicity having the highest spectral density power with the period of 36 ten-days (dasarian) and the period of 18 ten-days. North Sulawesi is also classified into 5 types of rainfall periodicity having the second highest spectral density power with the period of 3-11 ten-days, the period of 18 ten-days, the period of 36 ten-days, the period of 60-110 ten-days and the period of 359 ten-days.

scholarly journals A new spatial distribution map ofδ18O in Antarctic surface snow

2009 ◽  
Vol 36 (6) ◽  
Author(s):  
Yetang Wang ◽  
Shugui Hou ◽  
Valérie Masson-Delmotte ◽  
Jean Jouzel
Keyword(s):  
Spatial Distribution ◽  
Distribution Map ◽  
Surface Snow ◽  
Spatial Distribution Map

scholarly journals Study on the Spatial Distribution of Gansu Longshen Cult in Qing Dynasty Based on ArcGIS

2021 ◽  
Vol 290 ◽  
pp. 03023
Author(s):  
Zhang keze
Keyword(s):  
Spatial Distribution ◽  
Qing Dynasty ◽  
Traditional Society ◽  
Distribution Map ◽  
The Times ◽  
Spatial Distribution Map

Influenced by the limitations of the times, the agricultural belief and sacrificial system are developed and widely used in the traditional society of China, and the Longshen cult is a typical one. Taking the Gansu Longshen cult in Qing Dynasty as a case, this paper considered that the Longshen temple throughout Gansu are mainly the result of the correspondence between the rain function of Longshen and the characteristics of climate drought. Based on the statistics of the number of Longshen temple, the spatial distribution map of Gansu Longshen cult in Qing Dynasty was drawn by ArcGIS software.

scholarly journals Impacts of culture-wise shrimp farming activities on hydrogeochemistry: a case study from Chidambaram taluk, Cuddalore district, Tamil Nadu, India

2019 ◽  
Vol 10 (1) ◽  
Author(s):  
Gangadharan Rajendran ◽  
Nila Rekha Peter
Keyword(s):  
Spatial Distribution ◽  
Ion Exchange ◽  
Tamil Nadu ◽  
Shrimp Farming ◽  
Distribution Map ◽  
Exchange Reactions ◽  
Farming Area ◽  
Reverse Ion Exchange ◽  
Shrimp Farms ◽  
Spatial Distribution Map

AbstractShrimp farming is one of the most important aquaculture practices in terms of area, production, employment and foreign exchange generation in India. In recent years, the growth and intensification of shrimp farms in the study area have been explosive, and setting up of new shrimp farms along the coastal areas has also become a matter of apprehension among the environmentalists. An extensive survey made by environmentalists elsewhere shows mixed opinion, but ascertains the real scenario as facts. A total of about 46 groundwater samples were collected in five phases: pre-culture, summer culture, immediately after summer harvest (IASH), winter culture and immediately after winter culture, respectively. The results revealed that the high value of TDS, Na, Cl and Br is observed in IASH, and also, the spatial distribution map confirmed that higher concentration is observed near to the creek and sea. Moreover, the abundance of these ions is in the following order: Na > Ca > Mg > k and Cl > HCO3 > SO4 > CO3 > NO3 > Br for different culture periods, respectively. Piper diagram depicts that the groundwater was controlled by ion exchange reactions. Further, Chadha’s classification revealed that the reverse ion exchange was the dominated feature, and it is supported by various ionic indices such as Na/Cl versus EC, (Ca + Mg) versus (SO4 + HCO3), (Na–Cl) versus (Ca + Mg–HCO3–SO4), (Ca + Mg) versus Cl and Na/Cl versus Cl, respectively. The result of factor analysis shows that most of the variations are elucidated by the seawater intrusion, rock–water interactions and anthropogenic activities during different culture periods. The spatial distribution map of factor scores clearly delineates that the positive values are observed near to the creek and sea and in that, shrimp farming area is not predominated. R-mode cluster analysis shows that groundwater quality does not vary extensively as a function of culture periods. Moreover, Q-mode classification consists of two clusters: the first cluster has a high saline water concentration comprising samples location near to the creek and sea. The second cluster mainly depends upon rock–water interactions and the majority of shrimp farming area are grouped under these categories. The above statements clearly indicate that groundwater parameters mainly depend upon the geological process and that shrimp farming cannot be targeted as the root cause for groundwater salinization.

Qualification of the tomographic reconstruction in atom probe by advanced spatial distribution map techniques

2009 ◽  
Vol 109 (7) ◽  
pp. 815-824 ◽  
Author(s):  
Michael P. Moody ◽  
Baptiste Gault ◽  
Leigh T. Stephenson ◽  
Daniel Haley ◽  
Simon P. Ringer
Keyword(s):  
Spatial Distribution ◽  
Tomographic Reconstruction ◽  
Atom Probe ◽  
Distribution Map ◽  
Spatial Distribution Map

scholarly journals Spatial distribution of fine and coarse particulate matter during a southwest monsoon in Peninsular Malaysia

Chemosphere ◽  
2021 ◽  
Vol 262 ◽  
pp. 127767
Author(s):  
Murnira Othman ◽  
Mohd Talib Latif ◽  
Anas Ahmad Jamhari ◽  
Haris Hafizal Abd Hamid ◽  
Royston Uning ◽  
...  
Keyword(s):  
Spatial Distribution ◽  
Particulate Matter ◽  
Southwest Monsoon ◽  
Peninsular Malaysia ◽  
Coarse Particulate Matter

scholarly journals Identification of Cation Elements in PM10 Concentration in Industrial Area of Penang

2017 ◽  
Vol 5 (1) ◽  
pp. 46-50
Author(s):  
Mahani Yusoff ◽  
Muhammad Azwadi Sulaiman ◽  
Zairah Ab Kadir ◽  
Norrimi Rosaida Awang ◽  
Musfiroh Jani ◽  
...  
Keyword(s):  
Particulate Matter ◽  
Industrial Area ◽  
Southwest Monsoon ◽  
Pm10 Concentration ◽  
Aerodynamic Diameter ◽  
Sodium Potassium ◽  
Five Elements ◽  
Low Volume ◽  
Calcium And Magnesium

This study aims to investigate the concentrations of particulate matter with an aerodynamic diameter of less than 10 micron (PM10) and their associated cation elements in PM10. The sample of PM10 was collected at Royal Malaysian Customs Department (N5° 22’ 012”; E100° 23’589”) located in Perai Industrial Area, Penang, from June to September 2015. The sampling was carried out during the southwest monsoon and a total of 12 samples were collected using a low volume sampler (LVS). Results suggested that there are five elements that are commonly identified from PM sampled which are ammonium, sodium, potassium, calcium and magnesium. The concentrations of the cation from all four months in the industrial area shows the order of NH4 + > Ca+ > K+ > Mg2+ > Na+ . The lowest and highest concentrations calculated both were ammonium (0.012 ?g/m3) in July and (0.873 ?g/m3) September, respectively.

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