scholarly journals Ameliorasi Iklim melalui Zonasi Hutan Kota berdasarkan Peta Sebaran Polutan Udara

2010 ◽  
Vol 24 (1) ◽  
pp. 73 ◽  
Author(s):  
Siti Badriyah Rushayati ◽  
Endes N. Dahlan ◽  
Rachmad Hermawan
Keyword(s):  
Air Pollution ◽  
Air Temperature ◽  
Open Space ◽  
Urban Forest ◽  
Environmental Problems ◽  
Forest Area ◽  
The Other ◽  
Climate Conditions

Bandung regency is one of the cities with many environmental problems oc like other cities in Indonesia. These problems are the continues increasing the number and density of population, and the increasing increased industrial and transportation. On the other hard, the forest area and green open space in Bandung Regency continues to decline. This causes increased air pollution and air temperature. The problems can be sowed with micro climate reparation in Bandung regency using urban forest in order to improve the climate conditions (amelioration) efficiently and effectively.

scholarly journals Kebutuhan Luasan Areal Hutan Kota sebagai Rosot (Sink) Gas CO2 untuk Mengantisipasi Penurunan Luasan Ruang Terbuka Hijau di Kota Bogor

2011 ◽  
Vol 25 (2) ◽  
pp. 164 ◽  
Author(s):  
Dachlan N. Endes
Keyword(s):  
Green Space ◽  
Oil And Gas ◽  
Urban Forest ◽  
Forest Area ◽  
The Other ◽  
Fuel Oil ◽  
Co2 Gas ◽  
Ambient Concentration ◽  
Very High ◽  
Selection Of

The purpose of this study was to determine the need of the urban forest area as sink (sequestration) of CO2 gas from fuel oil and gas in Bogor City. Analysis of dynamic system is used to determine the need. Powersim software with the license number PSSL-N999998-5NC2Y was used in this research. Satellite imagery in 2003, 2005 and 2007 were used to analyze the extent of green space and built space as well as percentage changes. This study revealed that the urban forest area required as well as the number of seedlings are varies according to time and the sink rate. Therefore, the selection of tree species based on the sink rate should really be considered. By using the very high-sink rate trees, the area needed for this purpose will be smaller and can also make lower the ambient concentration. On the other hand, when the use of high-sink trees, the ambient concentration of this gas will increase again and the urban forest area that needed will be larger.

scholarly journals KENYAMANAN TERMAL RUANG TERBUKA HIJAU DI SEKITAR RUAS JALAN MAGELANG KABUPATEN SLEMAN

2019 ◽  
Author(s):  
MUKHLISON
Keyword(s):  
Thermal Comfort ◽  
Air Temperature ◽  
Open Space ◽  
Green Space ◽  
Urban Forest ◽  
Diversity Index ◽  
Surrounding Area ◽  
Open Spaces ◽  
Measurement Results ◽  
The Relationship

The density of traffic on Jalan Magelang, Sleman district potentially increasing the air temperature in the surrounding area will cause an uncomfortable condition. Vegetation on the green open space has a function to reduce air temperature and simultaneously improve thermal comfort. This study aims to assess the condition of the vegetation on the typology and green open spaces, assessing thermal comfort in various types of open green spaces, as well as determine the relationship between thermal comfort and conditions of open green space around Jalan Magelang. This study uses a survey to determine the typology of green open spaces, the condition of vegetation on the green open spaces and measure thermal comfort in each of green open space. The measurement results were analyzed descriptively to determine the relationship between the conditions of vegetation on the green open space formed by the thermal comfort. The results showed that the type of green space around the Jalan Magelang, Sleman district consists of the type of urban forest, urban home gardens, sports fields, cemeteries, yard, and river banks. Vegetation on the green open space in the parameter number of tree species, tree density and diversity index varies. Thermal comfort (THI) at green open space ranged from a low of 23.79 (comfortable) to a high of 31.77 (uncomfortable). Thermal comfort conditions including comfortable criteria only occurs in the yard at Dusun Mlati Dukuh in the morning at 6:00 a.m. to 08:00 pm, while on the other conditions indicate the criteria are quite comfortable and uncomfortable.

scholarly journals Physical Characters of Trees And Their Effects on Micro-Climate (Case Study at Urban Forest and Green Open Space at Semarang City)

2016 ◽  
Vol 28 (1) ◽  
Author(s):  
Endes N Dahlan
Keyword(s):  
Relative Humidity ◽  
Air Temperature ◽  
Open Space ◽  
Urban Forest ◽  
Performance Indicator ◽  
Key Performance Indicator ◽  
Human Comfort ◽  
Study Sites ◽  
Albizia Saman

Air temperature in cities are increasing which can cause reduce the human comfort and productivity. Urban forest can make the environment comfortable. The objectiveof the researc hwere: (1). To Determine the effects of urban forest on air temperature and relative humidity, (2). To analyze the effects of physical characters of trees ont he micro-climate amelioration and(3). To Determine species of trees which are very effective for micro-climate amelioration.The results of the research revealed that the average of daily air temperature in the urban forest was 30.2 C with arelative humidityof 74.0%, while the daily air temperature around the urban forest was 31.8 Karakter Fisik Pohon ... (Dahlan E) o C with relative humidityof 71.1%. Tree composisitin of all study sites consist of192trees, 29 speciesand 13families. The TinjomoyoForest Tourism has the highest density of trees(406trees/ha), while the lowest in the Parks Minister Supeno (316trees/ha). Value of Key Performance Indicator (KPI) of trees based on calculation of tall of trees, diameter of canopies, total leaves area and canopy forms noticed that very effective trees for micro-climate amelioration were: Angsana(Pterocarpus indicus), beringin(Ficus benjamina), flamboyan(Delonix regia) , ketapang(Terminalia catappa), mahoni (Swietenia mahogany), andtrembesi (Albizia saman).

scholarly journals Evaluation of Microclimatic Data on Localities with Different Ratio of Vegetation in Urban Environment

2014 ◽  
Vol 33 (4) ◽  
Author(s):  
Soňa Keresztesová ◽  
Ján Klein ◽  
Zdenka Rózová
Keyword(s):  
Urban Environment ◽  
Air Temperature ◽  
Open Space ◽  
Significant Contribution ◽  
The Other ◽  
Air Humidity ◽  
Open Spaces ◽  
Heat Islands ◽  
Relative Air Humidity ◽  
Microclimatic Conditions

AbstractMany authors (Akbari, Taha, 1992; Čaboun, 2008; Klein, 2013; Keresztesová, 2013) proved the influence of vegetation on microclimate as well as on the decrease of heat islands. We were interested in how different ratio of vegetation and open spaces influences microclimatic factors. From April to July 2012 microclimatic factors of two different localities with respect to various ratios of vegetation and open spaces were observed in Nitra, Slovakia. More specifically we observed the air temperature, relative air humidity and surface temperatures of four selected points in both localities. We have found out that in the park, i.e. in the locality with a higher portion of vegetation than open space was the course of temperatures more balanced, thanks to the attribute of vegetation to keep a stable microclimate. We have not observed any major Differences between the monitored points variously located in the vegetation in one locality, but on the other hand, we have observed remarkable differences between the two monitored localities. We may allege that the ratio of vegetation and open spaces makes significant contribution to microclimatic conditions of urban environment.

scholarly journals PEMETAAN INDEKS KENYAMANAN UNIVERSITAS LAMBUNG MANGKURAT BANJARBARU

2018 ◽  
Vol 4 (2) ◽  
Author(s):  
Garu Ujwala ◽  
Rijali Noor ◽  
Nova Annisa ◽  
Rony Riduan
Keyword(s):  
Air Temperature ◽  
Open Space ◽  
Urban Forest ◽  
Academic Community ◽  
Medical Faculty ◽  
Wind Condition ◽  
The Sun ◽  
Air Humidity ◽  
Temperature Humidity Index ◽  
Humidity Index

Universitas Lambung Mangkurat Banjarbaru merupakan salah satu RTH dalam bentuk hutan kota yang juga menjadi ruang aktivitas publik. Sebagai Ruang Terbuka Hijau (RTH) yang sekaligus menjadi ruang aktivitas publik maka lingkungan di dalamnya harus dikondisikan senyaman mungkin karena nyamannya suatu RTH akan meningkatkan produktifitas orang di dalamnya.  Sebaran indeks kenyamanan Universitas Lambung Mangkurat Banjarbaru berada pada kriteria nyaman dan sebagian tidak nyaman dan hanya wilayah Perpustakaan cabang dan sebagian wilayah Fakultas Kedokteran yang memiliki kriteria indeks tidak nyaman. Persepsi responden mahasiswa dan civitas akademika Universitas Lambung Mangkurat Banjarbaru tentang tingkat kenyamanan adalah nyaman, kondisi suhu udara adalah agak panas, kondisi kelembaban udara adalah sedang, kondisi angin adalah sepoi-sepoi, dan kondisi penerimaan matahari adalah sedang. Kata kunci: Hutan Kota, Indeks Kenyamanan, Ruang Terbuka Hijau. ABSTRACTLambung Mangkurat Banjarbaru University is one of the Green Open Space in the form of urban forest which is also a space for public activities. As a Green Open Space which is also a space for public activities, the environment in it should be as comfortable as possible because the comfort of an Green Open Space will increase the productivity of people in it. Distribution of temperature humidity index of Lambung Mangkurat Banjarbaru University were on comfortable criteria and some were uncomfortable criteria and only Library area and some areas of Medical Faculty that have uncomfortable index criteria. The respondents perception of student and the academic community of Lambung Mangkurat Banjarbaru University about temperature humidity index is comfortable, the air temperature condition is rathert hot, the air humidity is medium, the wind condition is the breezy, and the condition of the sun reception is moderate.  Keywords: Green Open Space, Urban Forest, Temperature Humidity Index

scholarly journals Kenyamanan Hutan Kota Linara Berbasis Kerapatan Vegetasi, Iklim Mikro Dan Persepsi Masyarakat Di Kota Metro

2017 ◽  
Vol 5 (2) ◽  
pp. 78
Author(s):  
Maria Immaculata C. Dwi Sulistyana ◽  
Slamet Budi Yuwono ◽  
Rusita Rusita
Keyword(s):  
Air Temperature ◽  
Public Perception ◽  
Open Space ◽  
Urban Forest ◽  
Descriptive Analysis ◽  
Comfort Level ◽  
Comfort Index ◽  
Census Methods ◽  
Canopy Area ◽  
Temperature And Humidity

The urban forest is part of public green open space which is formed by trees alliance that affect the temperature and humidity and reduce the wind speed so could provide convenience for the surrounding population. The aim of this research was to identify the species of the trees, to know the convenience based on THI and the public perception. Trees vegetation data inside urban forest were collected by census methods, temperature and humidity data were collected by measurement. Perception data were collected through interview using questionnaire. Descriptive analysis was used to analyzed the trees vegetation and visitors’ perception. The comfort level were analyzed by using Nieuwolt’s comfort index.  The results showed the influence of the density of vegetation to temperature and humidity affected the level of comfort. The dense canopy area had the air temperature at 29,43oC and humidity at 78,02%. The rare canopyarea had the air temperature at 30,49oC and humidity at 75,23%. Based on the THI, Linara Urban Forest was classified uncomfortable with values > 26. The perceptions of visitors to the Linara Urban Forest was in comfort categories. Keywords: the comfort level, urban forest, vegetation’s density.

scholarly journals ANALISIS KEBUTUHAN KAWASAN HUTAN KOTA BERDASARKAN EMISI KARBON DIOKSIDADI KOTA PIRU, SERAM BAGIAN BARAT

2019 ◽  
Vol 3 (2) ◽  
pp. 114-126
Author(s):  
Sartje Untajana ◽  
Robert Oszaer ◽  
Yosevita Th. Latupapua
Keyword(s):  
Human Activities ◽  
Open Space ◽  
Urban Forest ◽  
Forest Type ◽  
Vegetation Type ◽  
Forest Area ◽  
Vehicle Traffic ◽  
Number Of Species ◽  
Emission Estimation ◽  
The City

The objective of the study is to determine urban forest area, based on carbon dioxyde emission estimation from vehicle traffic and human activities in the city and around.  The result of carbon dioxyde emission calculation used as a basic to determine proportional forest area to established. The comprhensive plan of urban forest, covers species and vegetation type that projected to be able to abrsorb the emission.  The analysis shows that amount of carbon dioxyde emission from vehicle traffic in the city was  50,186.4  tons/year, meanwhile, carbon dioxyde produced by human respiratory activities was 9,499.47  ton/year.  The necessary of urban forest area to absorb the amount of that emission is 12.67 hectare.   Calculation of vegetation space approximately 10 x 10 m2, based on assumption that to absorb carbon dioxyde is in  the central of city.  Therefore to be recommended that the type of the urban forest is recreation forest type, in order to improve aestetic and convenience of the city in the future. The number of species to be planted is consists of  21 species, which 30 % of the forest area will designed as an open space area for community interaction.  Therefore, the number of  trees to be planted is about  620.56  individu of tree.

Statistical Processing and Correlations Between Concentrations of Some Atmospheric Pollutants in Suceava and Botosani Counties

2020 ◽  
Vol 71 (7) ◽  
pp. 175-186
Author(s):  
Doina Lutic ◽  
Danut-Gabriel Cozma
Keyword(s):  
Nitrogen Monoxide ◽  
Statistical Processing ◽  
Geographic Area ◽  
The Other ◽  
Atmospheric Pollutants ◽  
Climate Conditions ◽  
National Network ◽  
Different Seasons ◽  
Official Site ◽  
Social Wealth

The abundance of some pollutants from the air depend on the geographic area, the human activities intensity, the climate, the season and even on the hour within a day. The nitrogen oxides are the most abundant and most dangerous toxic species from the air, and these emissions are tightly connected to human polluting activities. Therefore, in our work, the first part is assigned for a wide literature search concerning the incidence of the keywords �nitrogen oxide� and searching the connections with other significant related terms and formulas, investigated by the researches worldwide. Then, a statistic approach was applied trying to correlate the values of the concentration in air of nitrogen monoxide, nitrogen dioxide, carbon monoxide, sulfur dioxide, benzene and particulate matter PM10, all of these being generated to a large extent from the exhaust gases from different automotives. The data were collected from the official site of the National Network of Air Quality Monitoring from Romania, and processed by statistical methods, using specific software and methods, in order to find significant differences between the pollutants concentrations values in two neighbor counties (Suceava and Botosani), with relatively similar climate conditions, but different social wealth. The findings of these statistical processing indicate that the PM10 values do not present significant differences between the two locations, neither the time within a day, while the other parameters exhibit distinctions between the values of the other pollutants concentrations in different seasons (summer and winter) and hourly intervals within a day (night, morning, afternoon and evening).

scholarly journals Psycho-Electrophysiological Benefits of Forest Therapies Focused on Qigong and Walking with Elderly Individuals

2021 ◽  
Vol 18 (6) ◽  
pp. 3004
Author(s):  
Jiyune Yi ◽  
Seul Gee Kim ◽  
Taegyu Khil ◽  
Minja Shin ◽  
Jin-Hee You ◽  
...  
Keyword(s):  
Urban Forest ◽  
Nervous Activity ◽  
Health Problems ◽  
The Other ◽  
Upper Body ◽  
Sympathetic Nervous Activity ◽  
Control Group ◽  
Beta Band ◽  
Elderly Individuals ◽  
Beneficial Effects

We developed two distinct forest therapy programs (FTPs) and compared their effects on dementia prevention and related health problems for older adults. One was focused on Qigong practice in the forest (QP) and the other involved active walking in the forest (WP). Both FTPs consisted of twelve 2-h sessions over six weeks and were conducted in an urban forest. We obtained data from 25, 18, and 26 participants aged 65 years or above for the QP, WP, and control groups, respectively. Neuropsychological scores via cognition (MoCA), geriatric depression (GDS) and quality of life (EQ-5D), and electrophysiological variables (electroencephalography, bioimpedance, and heart rate variability) were measured. We analyzed the intervention effects with a generalized linear model. Compared to the control group, the WP group showed benefits in terms of neurocognition (increases in the MoCA score, and alpha and beta band power values in the electroencephalogram), sympathetic nervous activity, and bioimpedance in the lower body. On the other hand, the QP group showed alleviated depression and an increased bioimpedance phase angle in the upper body. In conclusion, both active walking and Qigong in the forest were shown to have distinctive neuropsychological and electrophysiological benefits, and both had beneficial effects in terms of preventing dementia and relieving related health problems for elderly individuals.

scholarly journals Air pollution forecasting application based on deep learning model and optimization algorithm

2021 ◽  
Author(s):  
Azim Heydari ◽  
Meysam Majidi Nezhad ◽  
Davide Astiaso Garcia ◽  
Farshid Keynia ◽  
Livio De Santoli
Keyword(s):  
Air Pollution ◽  
Wind Speed ◽  
Power Plant ◽  
Air Temperature ◽  
Short Term Memory ◽  
Combined Cycle ◽  
Short Term ◽  
Term Memory ◽  
Proposed Model ◽  
Long Short Term Memory

AbstractAir pollution monitoring is constantly increasing, giving more and more attention to its consequences on human health. Since Nitrogen dioxide (NO2) and sulfur dioxide (SO2) are the major pollutants, various models have been developed on predicting their potential damages. Nevertheless, providing precise predictions is almost impossible. In this study, a new hybrid intelligent model based on long short-term memory (LSTM) and multi-verse optimization algorithm (MVO) has been developed to predict and analysis the air pollution obtained from Combined Cycle Power Plants. In the proposed model, long short-term memory model is a forecaster engine to predict the amount of produced NO2 and SO2 by the Combined Cycle Power Plant, where the MVO algorithm is used to optimize the LSTM parameters in order to achieve a lower forecasting error. In addition, in order to evaluate the proposed model performance, the model has been applied using real data from a Combined Cycle Power Plant in Kerman, Iran. The datasets include wind speed, air temperature, NO2, and SO2 for five months (May–September 2019) with a time step of 3-h. In addition, the model has been tested based on two different types of input parameters: type (1) includes wind speed, air temperature, and different lagged values of the output variables (NO2 and SO2); type (2) includes just lagged values of the output variables (NO2 and SO2). The obtained results show that the proposed model has higher accuracy than other combined forecasting benchmark models (ENN-PSO, ENN-MVO, and LSTM-PSO) considering different network input variables. Graphic abstract

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