Evaluation of MARS for the spatial distribution modeling of carbon monoxide in an urban area

Shahraiyni, Hamid Taheri; Shahsavani, Davood; Sargazi, Saeed; Habibi-Nokhandan, Majid

doi:10.5094/apr.2015.065

Cited by 14 publications

(7 citation statements)

References 28 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This higher accuracy is a sign of the ability and capability of MARS in the domain of modeling and spatial prediction. This output also is in line with the results of Shahraiyni et al (2015). But, as it can be seen, the supremacy of MARS3 is not absolute (Table 1).…”

Section: Resultssupporting

confidence: 92%

“…In each iteration, a BF whose removal will result in the minimum increase in the overall SSE is eliminated. Eventually, the model with the lowest Generalized Cross Validation (GCV) value will be selected as the final MARS model (Shahraiyni et al 2015). The GCV equation is a goodness-of-fit test that penalizes large number of BFs and serves to reduce the chance of overfitting.…”

Section: Theorymentioning

confidence: 99%

“…MARS is another approach that has been used to improve the accuracy of interpolation. In a study by Shahraiyni et al (2015), air pollutants have been interpolated using MARS and the performance is compared with IDW, TPSS (thin plate splines), kriging, and CK. Their MARS model utilizes latitude, longitude, and elevation, as independent variables.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Proposing and investigating PCAMARS as a novel model for NO2 interpolation

Yousefzadeh

Farnaghi

Pilesjö

et al. 2019

Environ Monit Assess

View full text Add to dashboard Cite

Effective measurement of exposure to air pollution, not least NO 2 , for epidemiological studies along with the need to better management and control of air pollution in urban areas ask for precise interpolation and determination of the concentration of pollutants in nonmonitored spots. A variety of approaches have been developed and used. This paper aims to propose, develop, and test a spatial predictive model based on multivariate adaptive regression splines (MARS) and principle component analysis (PCA) to determine the concentration of NO 2 in Tehran, as a case study. To increase the accuracy of the model, spatial data (population, road network and point of interests such as petroleum stations and green spaces) and meteorological data (including temperature, pressure, wind speed and relative humidity) have also been used as independent variables, alongside air quality measurement data gathered by the monitoring stations. The outputs of the proposed model are evaluated against reference interpolation techniques including inverse distance weighting, thin plate splines, kriging, cokriging, and MARS3. Interpolation for 12 months showed better accuracies of the proposed model in comparison with the reference methods.

show abstract

Section: Resultssupporting

confidence: 92%

Section: Theorymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Proposing and investigating PCAMARS as a novel model for NO2 interpolation

Yousefzadeh

Farnaghi

Pilesjö

et al. 2019

Environ Monit Assess

View full text Add to dashboard Cite

show abstract

“…Hence, employment of advanced non-linear regression approaches such as modified active learning method (ALM) [171], support vector regression [172,173], adaptive network-based fuzzy inference system [174,175], and multi-variate adaptive regression splines [176,177] are proposed for further studies on the modelling of high-resolution air temperature in the urban areas using multi-variate regression techniques. In the previous studies, the combination of collinearity reduction and feature selection/reduction techniques has not often utilized for the elimination of the disadvantages of collinear, redundant, and irrelevant input variables in the modelling of air temperature in the urban areas.…”

Section: Regression Techniquesmentioning

confidence: 99%

High-resolution air temperature mapping in urban areas: A review on different modelling techniques

Shahraiyni

Sodoudi

2017

THERM SCI

View full text Add to dashboard Cite

In this study, the importance of air temperature from different aspects (e. g., human and plant health, ecological and environmental processes, urban planning, and modelling) is presented in detail, and the major factors affecting air temperature in urban areas are introduced. Given the importance of air temperature, and the necessity of developing high-resolution spatio-temporal air-temperature maps, this paper categorizes the existing approaches for air temperature estimation into three categories (interpolation, regression, and simulation approaches) and reviews them. This paper focuses on high-resolution air temperature mapping in urban areas, which is difficult due to strong spatio-temporal variations. Different air temperature mapping approaches have been applied to an urban area (Berlin, Germany) and the results are presented and discussed. This review paper presents the advantages, limitations, and shortcomings of each approach in its original form. In addition, the feasibility of utilizing each approach for air temperature modelling in urban areas was investigated. Studies into the elimination of the limitations and shortcomings of each approach are presented, and the potential of developed techniques to address each limitation is discussed. Based upon previous studies and developments, the interpolation, regression and coupled simulation techniques show potential for spatio-temporal modelling of air temperature in urban areas. However, some of the shortcomings and limitations for development of high-resolution spatio-temporal maps in urban areas have not been properly addressed yet. Hence, some further studies into the elimination of remaining limitations, and improvement of current approaches to high-resolution spatio-temporal mapping of air temperature, are introduced as future research opportunities.

show abstract

“…Furthermore, spatial modeling of pollutant distribution can be utilised for exposure assessment and epidemiological studies. [11][12][13] 2. EXPERIMENTAL…”

Section: Introductionmentioning

confidence: 99%

Analysis of Air Quality Index Distribution of PM10 and O3 Concentrations in Ambient Air of Medan City, Indonesia

Suryati¹,

Khair²,

Gusrianti³

2018

JPS

View full text Add to dashboard Cite

Development of industries and increase in transportation usage directly affect air quality. Some pollutants have negative impacts on human health and the environment, such as particulate matter 10 microns (PM 10) and ozone (O 3). Distribution of PM 10 and O 3 concentrations from various emission sources in urban areas provide basic information to facilitate development of policies, programs and regulations related to air pollution control. This study aims to map and analyse the air quality index distribution of PM 10 and O 3 in the city of Medan, Indonesia. This research was conducted by sampling PM 10 and O 3 at 12 sampling points throughout the city. The concentration of PM 10 was measured using laser dust monitor model LD 1, while the concentration of O 3 was measured using impinger and chemiluminescent analysis. The results showed that the air quality index obtained was from 23 (good) to 155 (unhealthy) for PM 10 , and from 8 (good) to 87 (medium) for the O 3 parameter. The mapping of air quality index distribution for PM 10 and O 3 was done by using Surfer 10 to illustrate the distribution of areas with the unhealthy category for PM 10 and the medium category for O 3 located in Medan Belawan sub-district. Air pollution control can be done by applying clean technology for the industry sector and mass transportation for transportation sector.

show abstract

Evaluation of MARS for the spatial distribution modeling of carbon monoxide in an urban area

Cited by 14 publications

References 28 publications

Proposing and investigating PCAMARS as a novel model for NO2 interpolation

Proposing and investigating PCAMARS as a novel model for NO2 interpolation

High-resolution air temperature mapping in urban areas: A review on different modelling techniques

Analysis of Air Quality Index Distribution of PM10 and O3 Concentrations in Ambient Air of Medan City, Indonesia

Contact Info

Product

Resources

About