scholarly journals The Neural Network Assisted Land Use Regression

Atmosphere ◽  
2021 ◽  
Vol 12 (4) ◽  
pp. 452
Author(s):  
Jan Bitta ◽  
Vladislav Svozilík ◽  
Aneta Svozilíková Krakovská
Keyword(s):  
Neural Network ◽  
Land Use ◽  
Linear Regression ◽  
Dispersion Model ◽  
Land Use Regression ◽  
Emission Data ◽  
Pollution Dispersion ◽  
Factors Affecting ◽  
Standard Linear

Land Use Regression (LUR) is one of the air quality assessment modelling techniques. Its advantages lie mainly in a much simpler mathematical apparatus, quicker and simpler calculations, and a possibility to incorporate more factors affecting pollutant concentration than standard dispersion models. The goal of the study was to perform the LUR model in the Polish-Czech-Slovakian Tritia region, to test two sets of pollution data input factors, i.e., factors based on emission data and pollution dispersion model results, to test regression via neural networks and compare it with standard linear regression. Both input datasets, emission data and pollution dispersion model results, provided a similar quality of results in the case when standard linear regression was used, the R2 of the models was 0.639 and 0.652. Neural network regression provided a significantly higher quality of the models, their R2 was 0.937 and 0.938 for the factors based on emission data and pollution dispersion model results respectively.

scholarly journals Comparison of associations between mortality and air pollution exposure estimated with a hybrid, a land-use regression and a dispersion model

2021 ◽  
Vol 146 ◽  
pp. 106306
Author(s):  
Jochem O. Klompmaker ◽  
Nicole Janssen ◽  
Zorana J. Andersen ◽  
Richard Atkinson ◽  
Mariska Bauwelinck ◽  
...  
Keyword(s):  
Land Use ◽  
Air Pollution ◽  
Dispersion Model ◽  
Land Use Regression ◽  
Air Pollution Exposure ◽  
Pollution Exposure

scholarly journals A Satellite-Based Land Use Regression Model of Ambient NO2 with High Spatial Resolution in a Chinese City

2021 ◽  
Vol 13 (3) ◽  
pp. 397
Author(s):  
Lina Zhang ◽  
Changyuan Yang ◽  
Qingyang Xiao ◽  
Guannan Geng ◽  
Jing Cai ◽  
...  
Keyword(s):  
Land Use ◽  
Policy Development ◽  
Model Fitting ◽  
Ground Level ◽  
Epidemiological Studies ◽  
City Center ◽  
Land Use Regression ◽  
Emission Data ◽  
The City ◽  
Density Population

Previous studies have reported that intra-urban variability of NO2 concentrations is even higher than inter-urban variability. In recent years, an increasing number of studies have developed satellite-derived land use regression (LUR) models to predict ground-level NO2 concentrations, though only a few have been conducted at a city scale. In this study, we developed a satellite-derived LUR model to predict seasonal NO2 concentrations at a city scale by including satellite-retrieved NO2 tropospheric column density, population density, traffic indicators, and NOx emission data. The R2 of model fitting and 10-fold cross validation were 0.70 and 0.61 for the satellite-derived seasonal LUR model, respectively. The satellite-based LUR model captured seasonal patterns and fine gradients of NO2 variations at a 100 m × 100 m resolution and demonstrated that NO2 pollution in winter is 1.46 times higher than that in summer. NO2 concentrations declined significantly with increasing distance from roads and with increasing distance from the city center. In Suzhou, 84% of the total population lived in areas with NO2 concentrations exceeding the annual-mean standard at 40 μg/m3 in 2014. This study demonstrated that satellite-retrieved data could help increase the accuracy and temporal resolution of the traditional LUR models at a city scale. This application could support exposure assessment at a high resolution for future epidemiological studies and policy development pertaining to air quality control.

scholarly journals Factors Affecting Income Salt Farmers on the Island Madura

Webology ◽  
2021 ◽  
Vol 18 (Special Issue 03) ◽  
pp. 177-185
Author(s):  
Budi Sasongko ◽  
Alpon Satrianto
Keyword(s):  
Land Use ◽  
Policy Implication ◽  
Factors Affecting ◽  
Education Experience ◽  
The Government ◽  
Land Size ◽  
And Training

This study aimed to analyze the effect of land use, education, experience, capital, technology, and training on income salt farmers in Madura Island. The study concluded that the land size, experience, capital, technology, and training a significant effect on earnings while education does not significantly influence revenue salt farmers on the island of Madura. The policy implication of this research is that the government and relevant parties can always work together to improve the quality of training and technology so that farmers' production and income can be improved.

scholarly journals POLA KONSUMSI DAN PERMINTAAN BERAS TINGKAT RUMAH TANGGA DI KOTA BANDAR LAMPUNG

2021 ◽  
Vol 9 (3) ◽  
pp. 470
Author(s):  
Ican Aido ◽  
Fembriarti Erry Prasmatiwi ◽  
Rabiatul Adawiyah
Keyword(s):  
Linear Regression ◽  
Data Collection ◽  
Multiple Linear Regression ◽  
Survey Method ◽  
Consumption Pattern ◽  
Factors Affecting ◽  
Rice Consumption ◽  
Per Capita

This research aims to examine the pattern of rice consumption, rice demand and the factors that influence household rice demand in Bandar Lampung City.  This study used a survey method involving 64 respondents chosen randomly and consisted of 32 respondents from Panjang District and 32 respondents from by Sukarame District.  Data collection was carried out in November to December 2018 and analyzed qualitatively, statistically descriptive and verification using multiple linear regression. The results showed that the pattern of household rice consumption in Bandar Lampung City consisted of the types of rice consumed by households was random rice, IR 64, Pandan Wangi, and Rojolele with the type of rice most consumed by households was IR 64. The quality of rice consumed by households was super rice.  Most of the households consume rice because of habits.  Total household rice consumption was 15-25 kg per month.  The majority of households consume 3 times per day. The total household rice demand in Bandar Lampung City was 25.31 kg per month and the average demand per capita was 6.33 kg per month.  Factors affecting household rice demand in Bandar Lampung City were the price of bread, the price of chicken, and the number of household members.Key words: consumption pattern, demand, rice

A hybrid land use regression/line-source dispersion model for predicting intra-urban NO 2

2016 ◽  
Vol 43 ◽  
pp. 181-191 ◽  
Author(s):  
Drew R. Michanowicz ◽  
Jessie L.C. Shmool ◽  
Leah Cambal ◽  
Brett J. Tunno ◽  
Sara Gillooly ◽  
...  
Keyword(s):  
Land Use ◽  
Line Source ◽  
Dispersion Model ◽  
Regression Line ◽  
Land Use Regression

scholarly journals Kontribusi Agroforestri Terhadap Pendapatan Petani Di Desa Sukoharjo 1 Kecamatan Sukoharjo Kabupaten Pringsewu

2015 ◽  
Vol 3 (2) ◽  
pp. 1 ◽  
Author(s):  
Rafin Olivi ◽  
Rommy Qurniati ◽  
Firdasari .
Keyword(s):  
Land Use ◽  
Regression Analysis ◽  
Linear Regression ◽  
Large Contribution ◽  
Total Revenue ◽  
Factors Affecting ◽  
The Village

Agroforestry is one form of land use in multicrown consisting of a mixture of the trees, shrubs with an annual or plants often accompanied by cattle in one plots of land.System agroforestri of benefits economical and ecological that matter to farmers, one of which can provide income for farmers.Research is to calculate what large contribution agroforestri and to know faktor-faktor affecting farmers income. The study is done in the Village Sukoharjo 1 Sub-District Sukoharjo District Pringsewu.Contribution agroforestry expressed in the percentage revenue agroforestri with total revenue farmer.To analyze factors affecting farmers' income analyzed by linear regression of multiple.From the reckoning, contribution agroforestri against revenue is 88,31% or Rp 50.142.696,00/kk/ha/year and results regression analysis variables influential real against earnings agroforestri is age, the area of field, the amount of labor, tribe, religion, landslope and credit assistance.Keyword: agroforestri, the contribution of income, income factors

scholarly journals FACTORS AFFECTING USER SATISFACTION ON THE QUALITY OF IDENTITY CARD SERVICE IN SOC TRANG PROVINCE

2020 ◽  
Vol 1 (37) ◽  
pp. 24-33
Author(s):  
Thuan Van Le
Keyword(s):  
Factor Analysis ◽  
Linear Regression ◽  
Exploratory Factor Analysis ◽  
User Satisfaction ◽  
Viet Nam ◽  
Factors Affecting ◽  
Good Communication ◽  
Five Factors ◽  
Identity Card

This study aimed to identify the factors that influence user satisfaction on the quality of ID card service in Soc Trang Province. Cronbach’s Alpha, exploratory factor analysis and multivariate linear regression were utilized to analyze the data collected from direct interviews with 224 people using the ID card service by police in SocTrang Province, Viet Nam. The results of the study identified five factors that contributed to satisfaction, including adequate equipment; receiving recommendations and results; clear guidance; good communication with the officers; forms and procedures.

Does Previous Cardiac Surgery Predict Impaired Quality of Life in Adults With Congenital Heart Disease?

2020 ◽  
Vol 11 (3) ◽  
pp. 304-309 ◽  
Author(s):  
Qi Feng Wang ◽  
Sarah Rouse ◽  
Margaret Hay ◽  
Samuel Menahem
Keyword(s):  
Quality Of Life ◽  
Congenital Heart Disease ◽  
Cardiac Surgery ◽  
Heart Disease ◽  
Linear Regression ◽  
Congenital Heart ◽  
Anxiety And Depression ◽  
History Of ◽  
Standard Linear

Background: Improved survival of children with congenital heart disease (CHD) into adult life has led to further study of their quality of life (QoL) and its determinants. The QoL including the symptoms of anxiety and depression of adults with CHD was analyzed to determine the relationship, if any, between prior cardiac surgery and QoL. Methods: Adults with CHD who were recruited from a single community-based cardiology practice completed self-reported questionnaires on their QoL, which included symptoms of anxiety and depression. Standard linear regression analysis was used to determine whether prior cardiac surgery predicted lower QoL scores. Results: One hundred forty-nine adult patients with CHD were sent QoL questionnaires. Completed questionnaires were received from 135 patients: 71 (53%) males and 64 (47%) females, with a mean age of 26.3 years (standard deviation: 7.8, min: 17, max: 49). Respondents were assigned to two groups: those who had (n = 89, 66%) or had not (n = 46, 34%) previously undergone one or more cardiac surgical interventions. Results from standard linear regression analyses revealed no predictive relationship between history of previous cardiac surgery, whether one or more operations, and QoL. Conclusions: Among adult patients with CHD who completed QoL questionnaires, we observed no association between a patient’s history of prior cardiac surgery and self-reported QoL measures. This welcome and important finding may be a reflection of the good functional capacity of both groups (postsurgical and nonsurgical) irrespective of the original CHD diagnosis and need for surgical intervention.

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