Land use regression modelling estimating nitrogen oxides exposure in industrial south Durban, South Africa

2018 ◽  
Vol 610-611 ◽  
pp. 1439-1447 ◽  
Author(s):  
Sheena Muttoo ◽  
Lisa Ramsay ◽  
Bert Brunekreef ◽  
Rob Beelen ◽  
Kees Meliefste ◽  
...  
Keyword(s):  
South Africa ◽  
Land Use ◽  
Nitrogen Oxides ◽  
Land Use Regression ◽  
Regression Modelling

Land use regression modelling of PM2.5 spatial variations in different seasons in urban areas

2020 ◽  
Vol 743 ◽  
pp. 140744 ◽  
Author(s):  
Tuo Shi ◽  
Yuanman Hu ◽  
Miao Liu ◽  
Chunlin Li ◽  
Chuyi Zhang ◽  
...  
Keyword(s):  
Land Use ◽  
Urban Areas ◽  
Spatial Variations ◽  
Land Use Regression ◽  
Regression Modelling ◽  
Different Seasons

Low-cost NO2 monitoring and predictions of urban exposure using universal kriging and land-use regression modelling in Mysore, India

2020 ◽  
Vol 226 ◽  
pp. 117395
Author(s):  
Amruta Nori-Sarma ◽  
Rajesh K. Thimmulappa ◽  
G.V. Venkataramana ◽  
Azis K. Fauzie ◽  
Sumit K. Dey ◽  
...  
Keyword(s):  
Land Use ◽  
Low Cost ◽  
Universal Kriging ◽  
Land Use Regression ◽  
Regression Modelling

Predicting seasonal and spatial patterns of long-term nitrogen oxides concentration in Tehran, Iran using land use regression

2013 ◽  
Vol 2013 (1) ◽  
pp. 5223
Author(s):  
Hassan Amini ◽  
Seyed Mahmood Taghavi Shahri ◽  
Sarah B. Henderson ◽  
Kazem Naddafi ◽  
Ramin Nabizadeh ◽  
...  
Keyword(s):  
Land Use ◽  
Nitrogen Oxides ◽  
Spatial Patterns ◽  
Land Use Regression

scholarly journals Land Use Regression Modeling of Outdoor Noise Exposure in Informal Settlements in Western Cape, South Africa

2017 ◽  
Author(s):  
Chloé Sieber ◽  
Martina S. Ragettli ◽  
Mark Brink ◽  
Olaniyan Toyib ◽  
Roslyn Baatjies ◽  
...  
Keyword(s):  
South Africa ◽  
Land Use ◽  
Noise Exposure ◽  
Road Traffic ◽  
Model Performance ◽  
Sound Level ◽  
Western Cape ◽  
Land Use Regression ◽  
Middle Income ◽  
Noise Measurements

In developing countries, noise exposure and its negative health effects have been little explored. The present study aimed to assess the noise exposure situation in adults living in informal settings in the Western Cape Province, South Africa. We conducted continuous one-week outdoor noise measurements at 134 homes in four different areas. These data were used to develop a land use regression (LUR) model to predict A-weighted day-evening-night equivalent sound level (Lden) from geographic information system (GIS) variables. Mean noise exposure during day (6:00-18:00) was 60.0 A-weighted decibels (dB(A)) (interquartile range 56.9-62.9 dB(A)), during night (22:00-6:00) 52.9 dB(A) (49.3-55.8 dB(A)) and average Lden was 63.0 dB(A) (60.1-66.5 dB(A)). Main predictors of the LUR model were related to road traffic and household density. Model performance was low (adjusted R2=0.130) suggesting that other influences than represented in the geographic predictors are relevant for noise exposure. This is one of the few studies on the noise exposure situation in low- and middle-income countries. It demonstrates that noise exposure levels are high in these settings.

scholarly journals Land Use Regression Modelling of traffic-related noise in Athens, Greece for use in epidemiological studies

2021 ◽  
Vol 2021 (1) ◽  
Author(s):  
Konstantina Dimakopoulou ◽  
Kleanthi Manika ◽  
Evangelia Samoli ◽  
Natasa Kalpourtzi ◽  
Giota Touloumi ◽  
...  
Keyword(s):  
Land Use ◽  
Epidemiological Studies ◽  
Land Use Regression ◽  
Regression Modelling
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