scholarly journals Establishment of a Geographic Information System-Based Algorithm to Analyze Suitable Locations for Green Roofs and Roadside Trees

2021 ◽  
Vol 11 (16) ◽  
pp. 7368
Author(s):  
Heeju Kim ◽  
Kyushik Oh ◽  
Dongwoo Lee
Keyword(s):  
Information System ◽  
Ecosystem Services ◽  
Geographic Information System ◽  
Urban Areas ◽  
Green Roofs ◽  
Urban Ecosystem ◽  
Geographic Information ◽  
Green Spaces ◽  
Small Scale ◽  
Urban Green Spaces

Urban green spaces offer various ecosystem services such as those for controlling the urban microclimate, improving water circulation, and providing leisure and recreation opportunities. However, it is almost impossible to create new, large green spaces in cities where urbanization has been long underway. Consequently, small-scale green spaces such as green roofs and roadside trees are gaining attention as features that can increase the effects of ecosystem services. Although the area of individual buildings in urban areas is relatively small, the sum of building rooftop areas account for a large portion of urban areas. Moreover, there are areas widely available throughout cities where street trees could be planted. However, this requires large amounts of accurate databases (DBs) and long-term spatial analyses to identify specific locations suitable for small-scale green facilities on a citywide scale using a geographic information system (GIS). Consequently, in-depth research on this topic has been insufficient. Thus, this study presents an algorithm to analyze locations where green roofs and roadside trees could be introduced based on GIS spatial analysis and verifies the effectiveness of the algorithm built for the city of Seoul. In addition, computational fluid dynamics (CFD) modeling is performed to analyze the temperature reduction effect, the representative function of ecosystem control services that can be brought about by the potential green spaces. The results show that rooftop greening in study areas is possible in 311,793 of 742,770 buildings. The rooftop floor area of buildings that can apply rooftop greening is 33,288,745 m2, which is about 50% of the total area of the rooftop in Seoul. It was found that roadside trees could be planted on a sidewalk with an extension length of 872,725 m and an area of 838,864 m2. A total of 145,366 trees can be planted in the study area. In addition, it was shown that the introduction of green roofs reduced temperatures by 0.13 °C to 0.14 °C and roadside trees reduced temperatures by 0.14 °C to 0.6 °C. With the growing need to improve urban ecosystem services as a result of rapid climate change, the algorithm developed in this study can be utilized to create spatial policies that expand and manage urban green spaces and thereby contribute to the improvement of urban ecosystem services.

Assessing the accessibility of urban green spaces in the central Wuhan based on geographic information system and remote sensing

2021 ◽  
Author(s):  
Zhicheng Tang ◽  
Yiheng Wang ◽  
Zheng Yang ◽  
Yunxiao Jiang ◽  
Luo Guo
Keyword(s):  
Remote Sensing ◽  
Information System ◽  
Geographic Information System ◽  
Geographic Information ◽  
Green Spaces ◽  
Urban Green ◽  
Urban Green Spaces

scholarly journals Mapping Kabul’s Private Urban Green Spaces Using Geographic Information System-Supervised Classification

2020 ◽  
Vol 13 (1) ◽  
pp. 42-60
Author(s):  
Emal Ahmad Hussainzad ◽  
Mohd Johari Mohd Yusof ◽  
Sreetheran Maruthaveeran
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Informal Settlements ◽  
Geographic Information ◽  
Green Spaces ◽  
Urban Green Spaces ◽  
Urban Greenery ◽  
Training Samples ◽  
The Face ◽  
Supervised Image Classification

AbstractPrivate green spaces are considered an important part of urban greenery. However, the extent of private green spaces in an informal city like Kabul is unknown. To this end, this study has mapped out the private green spaces in the informal settlements of Kabul city. A Geographic Information System (GIS)-supervised image classification technique was used to identify these private green spaces in three of the 22 police districts (PDs) in the city. Briefly, the classification consisted of defining training samples, extraction of signature and classification of the imagery. As a result, 330.3 hectares were identified as private green spaces, which made up 12.3 % of the total area of informal settlements in these three districts. With 217.1 hectares, PD7 had the largest area of private green spaces among the three police districts, contributing to 65.7 % of the overall area of private green spaces, followed by PD8 (21.3 %) and PD16 (13 %). In future, the map generated in this study could be used to monitor, manage and conserve the existing urban greenery in the face of private green spaces. The results could also be utilised by the Kabul Municipality and other relevant departments to implement an upgrading programme in the informal settlements of Kabul city, which would lead to fulfilling the environmental needs of the residents.

scholarly journals Assessing the Ecosystem Services of Various Types of Urban Green Spaces Based on i-Tree Eco

2020 ◽  
Vol 12 (4) ◽  
pp. 1630 ◽  
Author(s):  
Peihao Song ◽  
Gunwoo Kim ◽  
Audrey Mayer ◽  
Ruizhen He ◽  
Guohang Tian
Keyword(s):  
Ecosystem Services ◽  
Urban Ecosystem ◽  
Space Structure ◽  
Green Spaces ◽  
Aerial Images ◽  
Ecological Benefits ◽  
Urban Green ◽  
Urban Green Spaces ◽  
Service Productivity ◽  
Air Quality Improvement

Urban green spaces play a crucial role in maintaining urban ecosystem sustainability by providing numerous ecosystem services. How to quantify and evaluate the ecological benefits and services of urban green spaces remains a hot topic currently, while the evaluation is barely applied or implemented in urban design and planning. In this study, super-high-resolution aerial images were used to acquire the spatial distribution of urban green spaces; a modified pre-stratified random sampling method was applied to obtain the vegetation information of the four types of urban green spaces in Luohe, a common plain city in China; and i-Tree Eco model was further used to assess the vegetation structure and various ecosystem services including air quality improvement, rainfall interception, carbon storage, and sequestration provided by four types of urban green spaces. The modeling results reveal that there were about 1,006,251 trees in this area. In 2013, all the trees in these green spaces could store about 54,329 t of carbon, sequester about 4973 t of gross carbon, remove 92 t of air pollutants, and avoid 122,637 m3 of runoff. The study illustrates an innovative method to reveal different types of urban green spaces with distinct ecosystem service productivity capacity to better understand their various roles in regulating the urban environment. The results could be used to assist urban planners and policymakers to optimize urban green space structure and composition to maximize ecosystem services provision.

Are Collembola flying onto green roofs?

2020 ◽  
Author(s):  
Sophie Joimel ◽  
Laure Vieublé-Gonod ◽  
Baptiste Grard ◽  
Claire Chenu
Keyword(s):  
Urban Areas ◽  
Ground Level ◽  
Green Roofs ◽  
Green Spaces ◽  
Soil Conditions ◽  
Soil Biodiversity ◽  
Great Opportunity ◽  
Urban Green Spaces ◽  
Research Programmes ◽  
Urban People

<p><strong>Are Collembola flying onto green roofs?  </strong></p><p>With a worldwide urban population projected to reach 5 billion by 2030 (Véron, 2007), the roles and benefits of urban green spaces cannot be denied, like climate regulation by trees or water flow regulation (Gómez-Baggethun and Barton, 2013). If green spaces are among the new societal expectations of urban people, they also play a crucial role in preserving biodiversity in urban areas. Among them, green roofs are a great opportunity to create green space in cities as they represent 32% of cities’ horizontal surfaces (Frazer, 2005). Their installation is also perceived as a possible way to preserve biodiversity in cities. However, the effectiveness of green roofs in supporting biodiversity, especially soil biodiversity, has rarely been studied.</p><p>Thanks to different research programmes (TROL, SEMOIRS and T4P), we investigated the taxonomic and functional collembolan biodiversity in both extensive and productive green roofs as well as in ground-level urban microfarms in order to (i) evaluate the effectiveness of green roofs in supporting soil biodiversity, (ii) identify the mechanisms of colonisation by soil organisms and (iii) separate the effect of landscape and soil conditions on collembolan communities assemblages.</p><p>Surprisingly, green roofs are supporting high levels of soil biodiversity. Despite various soil characteristics (organic matter and water avaibility), no difference was found between extensive roofs and rooftop gardens concerning the taxonomical structures of collembolan communities (e.g. species richness, abundances). In contrast, there are differences concerning both taxonomic and functional compositions. Two ways of colonisation are suggested: a passive wind dispersal − the “flying” collembolans − and a settlement through compost inputs. We conclude that stakeholders should take into account the spatial connections of green roofs with other green spaces in order to support urban soil biodiversity.</p>

scholarly journals Bioretention As A Control To Urban Drainage System With An Ecohydrological Base: GIS As A Tool On Decision Making

2020 ◽  
Author(s):  
Altair Rosa ◽  
Mario Procopiuck ◽  
Marina Batalini de Macedo ◽  
César Ambrogi Ferreira do Lago ◽  
David Sample ◽  
...  
Keyword(s):  
Decision Making ◽  
Land Use ◽  
Information System ◽  
Geographic Information System ◽  
Urban Areas ◽  
Drainage System ◽  
Local Environment ◽  
Geographic Information ◽  
Urban Drainage ◽  
Use Of Resources

Abstract The occupation and use of increasingly impermeable urban land have made it difficult to infiltrate water and, consequently, increase the volume of runoff in different cities, which has required the development of bioretention techniques in the field of hydrology. The aim of this article is to define and apply criteria for the identification of areas for the construction of Bioretention systems for evaluations based on Geographic Information System indicators, considering the aspects of quantity and quality in urban drainage . The developed method allows to verify and compare changes in the surface of urban areas and their interference in the local environment , the mapping of land use and occupation to simplify procedures to define and prioritize areas for the construction of Bioretention systems, the use of resources from georeferenced bases to resolve eco-hydrological issues. The study develops technical bases for the use of a georeferencing tool to analyze areas with speed and consistency as a basis for decisions on the implementation of Bioretention systems

scholarly journals IDENTIFYING SUITABLE AREAS FOR SMALL FARM RESERVOIR IN AGUSAN DEL NORTE USING GEOGRAPHIC INFORMATION SYSTEM

2019 ◽  
Vol XLII-4/W19 ◽  
pp. 89-91
Author(s):  
A. O. Cacayan Jr ◽  
A. G. Apdohan ◽  
A. E. Bocobo ◽  
J. L. Ruta
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
The Philippines ◽  
Geographic Information ◽  
Small Time ◽  
Small Scale ◽  
Small Farm ◽  
Irrigation Project ◽  
Standardized Protocol ◽  
Suitability Map

Abstract. The Philippines, as a part of Southeast Asia, falls into the zone categorized with agricultural areas prone to drought. Mitigating the concerns due to such vulnerability and also catering the needs of small-time farmers, rainfall harvesting with the use of agricultural structures called Small Farm Reservoirs (SFRs) used for storing water for irrigation are being used and deployed. This study aims to identify ideal locations for SFR which is essential due to the concerns of its geographical appropriateness and its vulnerability to environmental and other concerns such as seepage, sustainability, and optimizing yield. Geographic Information System through the ArcMap software is a modern tool for decision making, especially in the concerns of suitability and vulnerability assessment and was used in creating the suitability map for SFR in this study. The suitability map was created with the use of pre-processed raster data sets for precipitation, soil texture, slope, irrigation status. Weights for the weighted overlay were acquired from the standardized protocol for Small Scale Irrigation Project (SSIP) standardized protocol for site suitability identification from the Department of Agriculture - Bureau of Soil and Water Management (DA-BSWM) Philippines. Existing SFRs in the study area were validated through site visitation and were evaluated for usability and performance. The suitability map created accurately identified suitable zones for establishing SFRs with a result of 7 out of 7 existing SFRs are within the suitable zones, six (6) sites in the moderately suitable and one (1) on marginally suitable.

scholarly journals Urban Air Quality Assessment Using Integrated Artificial Intelligence Algorithms and Geographic Information System Modeling in a Highly Congested Area, Iraq

2020 ◽  
Vol 55 (1) ◽  
Author(s):  
Oday Zakariya Jasim ◽  
Noor Hashim Hamed ◽  
Mohammed Abdullah Abid
Keyword(s):  
Information System ◽  
Air Quality ◽  
Geographic Information System ◽  
Regression Model ◽  
Quality Assessment ◽  
Urban Areas ◽  
Geographic Information ◽  
Urban Air ◽  
Congested Area ◽  
Air Quality Assessment

Pollutant emissions are considered to be a major threat to air quality and human health in urban areas. Therefore, accurate modeling and assessment tools are required. In this study, a model was done by the integration of machine learning algorithms and a geographic information system model. This model included the optimization of the support vector regression model by using the principal component analysis algorithm. Then, the integration of the regression model with spatial analysis modeling via a grid (100 x 100 m) was done in order to generate prediction maps during holidays and workdays in the daytime and at nighttime in a highly congested area in Baghdad city, Iraq. The data used in this study categorized into two categories. The first category is the data acquired through field surveying that includes temperature, humidity, wind speed, wind direction, and traffic flow data (e.g., the number of light and heavy vehicles), as well as carbon monoxide samples by using mobile equipment. The second category is the information derived from geographic information system data, such as land use, road network, and building height. The accuracy of the proposed model is 81%, and the lowest value of root mean square error was 0.067 ppm. The integration between air pollution models and geographic information system techniques could be a promising tool for urban air quality assessment and urban planning. These tools effectively utilized by stakeholders and decision-makers to outline proper plans and strategies to mitigate air pollutants in urban areas.

scholarly journals Epidemiological Study and Spatial Modeling of Cutaneous Leishmaniasis in Bushehr Province Using the Geographic Information System (GIS) from 2011 to 2015

2019 ◽  
Author(s):  
Ali Dehghani ◽  
Mohamad Hasan Lotfi ◽  
Hossein Falahzadeh ◽  
Katayon Vahdat ◽  
Zahra Shabani
Keyword(s):  
Information System ◽  
Geographic Information System ◽  
Cutaneous Leishmaniasis ◽  
Health Problem ◽  
Rural Areas ◽  
Urban Areas ◽  
Geographic Information ◽  
Cross Sectional ◽  
Important Health ◽  
Epidemiological Characteristics

Introduction: It is generally accepted that cutaneous leishmaniasis is considered as an important health problem all over the world which is caused by leishmaniasis protozoan. This disease is also known as a health problem in some regions of Iran including Bushehr province. The present study investigated the geographical dispersion and the epidemiological characteristics of subjects with the cutaneous leishmaniasis in this province from 2011 to 2015. Method: In this cross-sectional and analytical study, the epidemiologic data including the age, gender, residential area, and counties with this disease was analyzed and collected from 663 patients who were followed up and treated from 2011 to 2015. Results: 422 (63.7%) of studied people were residents of urban areas and 241 (36.3%) lived in rural areas. 59.4% (394 people) were male and 40.6% (269) were female. The mean age of the subjects was 21.91± 17.01 (ranging from 1 to 80). Kangan County with an average 5-year incidence of 17.72 per a hundred thousand people had the highest incidence, but Tangestan County with the incidence of 8.47 per a hundred thousand people had the lowest average incidence. Based on GIS results, Jam County, which was not recognized as the focus of this disease in the past, has been considered as a new focus of disease in recent years. Conclusion: The geographic information system (GIS) is regarded as an effective tool for the organization of diseases and health data. The crisis can be identified and controlled by taking proper measures with the discovery of spatial accumulation of diseases.

Sign in / Sign up

Export Citation Format

Share Document