Packaging Environmental Sensors for Monitoring Urban-Microclimates

2020 ◽  
Vol 1 (3) ◽  
Author(s):  
Shuv Dey ◽  
J. Michael Brown ◽  
Yogendra Joshi
Keyword(s):  
Low Cost ◽  
Environmental Data ◽  
Data Monitoring ◽  
Cfd Modeling ◽  
Heat Island ◽  
Environmental Sensors ◽  
Cfd Model ◽  
Advanced Packaging ◽  
Urban Heat ◽  
Urban Microclimates

Abstract An internet-of-things (IoT)-based low-cost sensor network can be used to collect the data necessary to study both Urban Heat Island (UHI) and air pollution. There are several key challenges associated with an IoT-based solution to environmental data monitoring, including packaging and deployment. This study explores these challenges by looking at effects the packaging has on the deployed environmental sensors. Several packaging designs are numerically studied using a computation fluid dynamics (CFD) model. Two sensor designs are chosen using results obtained from CFD modeling and then experimentally deployed. The findings conclude that the IoT sensors chosen for this study are not significantly affected by flow velocities or require advanced packaging designs when paired with street-side outdoor digital displays.

Packaging Environmental Sensors for an Internet-of-Things Solution for Urban-Microclimate Studies

2019 ◽  
Author(s):  
Shuv Dey ◽  
Yogendra Joshi ◽  
J. Michael Brown
Keyword(s):  
Rural Areas ◽  
Low Cost ◽  
Urban Environments ◽  
Environmental Data ◽  
Sensor Data ◽  
Heat Island ◽  
Environmental Sensors ◽  
Negative Effects ◽  
Air Temperatures ◽  
Urban Heat

Abstract Cities are experiencing a number of negative effects caused by increasing urbanization. For decades, the effects of pollution have been recognized and studied and steps have been taken attempting to control this problem. Many urban environments are also experiencing the effect of the Urban Heat Island (UHI). UHIs are metropolitan areas that have measurably warmer average air temperatures during several periods during the year, than their surrounding rural areas. There is a great interest in studying UHI and pollution and its effects on the environment as well as urban residents. However, in order to study these phenomena, we need more information than we currently have. Thus, an IoT based low cost sensor network can be used to collect the data necessary to study UHI and pollution. There are several key challenges associated with an IoT based solution to environmental data monitoring. This study explores these challenges by looking at what effect the packaging has on the deployed environmental sensors, and how and where to deploy sensor modules. Sensor data collected over a few months’ timeframe are analyzed and presented.

scholarly journals Affordable Remote Monitoring of Plant Growth and Facilities using Raspberry Pi Computers

2019 ◽  
Author(s):  
Brandin Grindstaff ◽  
Makenzie E. Mabry ◽  
Paul D. Blischak ◽  
Micheal Quinn ◽  
J. Chris Pires
Keyword(s):  
Remote Monitoring ◽  
Data Transfer ◽  
Low Cost ◽  
Cost Effective ◽  
Environmental Data ◽  
Raspberry Pi ◽  
List Type ◽  
Environmental Sensors ◽  
Data Logging ◽  
The Stability

ABSTRACTPremise of the study: Environmentally controlled facilities, such as growth chambers, are essential tools for experimental research. Automated remote monitoring of such facilities with low-cost hardware can greatly improve both the reproducibility and the accurate maintenance of their conditions.Methods and Results: Using a Raspberry Pi computer, open-source software, environmental sensors, and a camera, we developed a cost-effective system for monitoring growth chamber conditions, which we have called ‘GMpi.’ Coupled with our software, GMpi_Pack, our setup automates sensor readings, photography, alerts when conditions fall out of range, and data transfer to cloud storage services.Conclusions: The GMpi offers low-cost access to environmental data logging, improving reproducibility of experiments, as well as reinforcing the stability of controlled environmental facilities. The device is also flexible and scalable, allowing customization and expansion to include other features such as machine vision.

scholarly journals Using ENVI-met simulation to analyze heat island intensity in megalopolises

Vestnik MGSU ◽  
2020 ◽  
pp. 1262-1273
Author(s):  
Le Minh Tuan ◽  
Ilkhomzhon S. Shukurov ◽  
Margarita О. Gelmanova ◽  
Mikhail Yu. Slesarev
Keyword(s):  
Air Temperature ◽  
Simulation Analysis ◽  
Urban Climate ◽  
Construction Materials ◽  
Urban Morphology ◽  
Urban Environments ◽  
Urban Heat Islands ◽  
Heat Island ◽  
Urban Heat ◽  
Urban Microclimates

Introduction. The simulation of urban microclimates, including the urban heat island (UHI) phenomenon, has turned all the more important for urban planning. Presently, the analysis of this phenomenon is feasible thanks to high computational power of computers and links between computer modeling instruments and databases that contain information on urban environments. Advanced hardware helps to study characteristics of urban microclimates by analyzing and assessing their exposure to various climatic and anthropogenic urban factors (urban morphology, land use, construction sites, albedo, etc.) Materials and methods. ENVI-met is a software model used to simulate microclimates in urban environments. This software can optimize proportions of buildings and streets, outdoor shading, outdoor space planning, air movement, and use of construction materials in respect of thermal comfort and measures taken to mitigate consequences of urban heat islands within the framework of environmental planning of new districts. The co-authors analyze Ha Dong, a Hanoi district characterized by the high density of high-rise buildings. The co-authors consider the example of this district to study the process of detailed simulation, analysis and assessment of UHI effects. Results. ENVI-met and its simulation capacity is employed to prove that the air temperature in Wang Fu, an urban area, gradually rises from 8 am to 5 pm, when the air temperature reaches its maximal value of 32.28 °C during the period of sixteen hours. UHI intensity was maximal between midnight and 1 am on May 29, 2017, when it reached 2.41 °C. Conclusions. Cities are complex systems exposed to a wide array of interactive factors that influence the urban climate change. The value of R2 equal to 0.94 has proven the reliability of ENVI-met applied to simulate and imitate the climate of Hanoi, which is a hot and damp tropical city.

scholarly journals Application of Low-Cost Sensors for Urban Heat Island Assessment: A Case Study in Taiwan

2019 ◽  
Vol 11 (10) ◽  
pp. 2759 ◽  
Author(s):  
Chen-Yi Sun ◽  
Soushi Kato ◽  
Zhonghua Gou
Keyword(s):  
High Temperature ◽  
Urban Heat Island ◽  
Measurement Method ◽  
Low Cost ◽  
Urban Heat Island Effect ◽  
Heat Island ◽  
Island Effect ◽  
Urban Heat ◽  
The City ◽  
Fixed Station

In the urban environment, the urban heat island effect, the phenomenon of high temperature in the city relative to the suburbs, has become significant due to a large amount of artificial heat dissipation, rare green spaces, high building density, and a large surface material heat capacity. The study of the urban heat island effect has been carried out for many years. Even though many studies have evolved from the measurement and analysis stage to the improvement of the urban heat island effect, the measurement method is still the most important issue of the studies in this field. Basically, the measurement method of the urban heat island effect intensity has three types: remote sensing, mobile transect observation, and fixed station. In order to achieve the dual purpose of reducing research funding requirements and maintaining the accuracy of research results, this study proposes a way to combine mobile transect observation and fixed station. This study exploits the advantages of mobile transect observation and fixed station, and uses low-cost sensors to achieve the basic purpose of urban heat island effect research. First, in this study, low-cost sensors were mounted on mobile vehicles for more than ten mobile transect observations to identify relatively high temperature and low temperature regions in the city; meanwhile, the low-cost sensors were also placed in a simple fixed station to obtain long-term instantaneous urban temperature data. Furthermore, it is possible to analyze the 24-hour full-time variation of the urban heat island effect. Therefore, the results of this study can not only provide a reference for relevant researchers, but can also serve as an important criterion for government departments to establish an “urban heat island effect monitoring system” to achieve the goal of efficient use of the public budget.

Design and Implementation of Low Cost IoT Sensor System for Urban Heat Island Observation

2021 ◽  
Author(s):  
Fachri Ilman Fauzandi ◽  
Yulia Retnowati ◽  
Josua Dion Tamba ◽  
Emir Mauludi Husni ◽  
Rahadian Yusuf ◽  
...  
Keyword(s):  
Urban Heat Island ◽  
Low Cost ◽  
Sensor System ◽  
Heat Island ◽  
Design And Implementation ◽  
Urban Heat

Analisis Pengaruh Kerapatan Vegetasi Terhadap Suhu Permukaan dan Keterkaitannya Dengan Fenomena UHI

2020 ◽  
Vol 21 (1) ◽  
pp. 99
Author(s):  
Dewi Miska Indrawati ◽  
Suharyadi Suharyadi ◽  
Prima Widayani
Keyword(s):  
Urban Heat Island ◽  
Landsat 8 ◽  
Heat Island ◽  
Landsat 8 Oli ◽  
Urban Heat ◽  
Split Window Algorithm

Kota Mataram adalahpusat dan ibukota dari provinsi Nusa Tenggara Barat yang tentunya menjadi pusat semua aktivitas masyarakat disekitar daerah tersebut sehingga menyebabkan peningkatan urbanisasi. Semakin meningkatnya peningkatan urbanisasi yan terjadi di perkotaan akan menyebabkan perubahan penutup lahan, dari awalnya daerah bervegetasi berubah menjadi lahan terbangun. Oleh karena itu, akan memicu peningkatan suhu dan menyebabkan adanya fenomena UHI dikota Mataram.Tujuan dari penelitian ini untuk mengetahui hubungan kerapatan vegetasi dengan kondisi suhu permukaan yang ada diwilayah penelitian dan memetakan fenomena UHI di Kota Mataram. Citra Landsat 8 OLI tahun 2018 yang digunakan terlebih dahulu dikoreksi radiometrik dan geometrik. Metode untuk memperoleh data kerapatan vegetasi menggunakan transformasi NDVI, LST menggunakan metode Split Window Algorithm (SWA) dan identifikasi fenomena urban heat island. Hasil penelitian yang diperoleh menunjukkan kerapatan vegetasi mempunyai korelasi dengan nilai LST. Hasil korelasi dari analisis pearson yang didapatkan antara kerapatan vegetasi terhadap suhu permukaan menghasilkan nilai -0,744. Fenomena UHIterjadi di pusat Kota Mataram dapat dilihat dengan adanya nilai UHI yaitu 0-100C. Semakin besar nilai UHI, semakin tinggi perbedaan LSTnya.

PERUBAHAN PENUTUP LAHAN DAN KERAPATAN VEGETASI TERHADAP URBAN HEAT ISLAND DI KOTA SURAKARTA

2019 ◽  
Vol 3 ◽  
pp. 641
Author(s):  
Nafisatul Baroroh ◽  
Pangi Pangi
Keyword(s):  
Urban Heat Island ◽  
Heat Island ◽  
Urban Heat

Secara fisik, perkembangan perkotaan dapat terlihat dari perubahan penduduknya yang semakin bertambah dan semakin padat. Menurut data Badan Pusat Statistik, jumlah penduduk Kota Surakarta tahun 2000 yaitu sebesar 490.214 jiwa dan meningkat ±23.957 jiwa di tahun 2016. Pertumbuhan penduduk dan pembangunan yang pesat akan menyebabkan perubahan penggunaan lahan demi menunjang aktifitas penduduk yang seringkali mengakibatkan benturan kepentingan sehingga mengakibatkan menurunnya kualitas lingkungan. Hal itu disebabkan oleh semakin terdesaknya alokasi lahan untuk vegetasi. Perubahan lahan vegetasi yang tergantikan oleh jalan, bangunan dan struktur lain akan lebih banyak menyerap panas matahari dan memantulkannya, sehingga menyebabkan suhu permukaan di kota naik. Akibatnya semakin banyak titik-titik panas yang terbentuk sehingga menyebabkan perubahan unsur-unsur cuaca dan iklim sebagai pemicu terjadinya Urban Heat Island (UHI). Sesuai dengan uraian tersebut, maka tujuan penelitian ini adalah untuk menganalisis perubahan penutup lahan dan kerapatan vegetasi terhadap Urban Heat Island di Kota Surakarta. Metode analisis yang digunakan yaitu analisis deskriptif dan pengolahan data spasial. Berdasarkan hasil dari analisis menunjukkan bahwa jenis penutup lahan yang mendominasi adalah permukiman dan lahan terbangun, serta kelas kerapatan vegetasi didominasi oleh vegetasi jarang. Kemudian untuk distribusi suhu permukaan di Kota Surakarta secara keseluruhan tahun 1994, 2000 dan 2017 nilainya berubah, dimana rentang suhunya berkisar antara 21 C – 24 C (terendah) sampai dengan 34 C – 37 C (tertinggi). Perubahan suhu yang terjadi inilah mengindikasikan terjadinya fenomena Urban Heat Island di Kota Surakarta. Berdasarkan hal tersebut, maka dapat disumpulkan bahwa terdapat perubahan jenis penutup lahan dan juga kelas kerapatan vegetasi yang terjadi terhadap Urban Heat Island di Kota Surakarta.

OVERVIEW OF URBAN HEAT ISLAND (UHI) PHENOMENON TOWARDS HUMAN THERMAL COMFORT

2017 ◽  
Vol 16 (9) ◽  
pp. 2097-2111 ◽  
Author(s):  
Mohanadoss Ponraj ◽  
Yee Yong Lee ◽  
Mohd Fadhil Md Din ◽  
Zainura Zainon Noor ◽  
Kenzo Iwao ◽  
...  
Keyword(s):  
Thermal Comfort ◽  
Urban Heat Island ◽  
Heat Island ◽  
Human Thermal Comfort ◽  
Urban Heat
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