Pub Date : 2021-11-15DOI: 10.1109/IEEECONF53624.2021.9668152
Z. Nisa, Lee Kean Chuan, Saba Ayub, Beh Hoe Guan, F. Ahmad
Bio nano carbon obtained from bamboo (Gigantochloa scortechinii) was used as filler in polypropylene to synthesize its nanocomposite using the coagulation technique. The nanocomposite was prepared with two percent filler loading. Structural elucidation of the nanocomposite was carried out by Fourier transform infrared spectroscopy, the morphological study was done by Field emission Scanning electron and Thermal studies were investigated using Thermogravimetric Analysis and Differential Scanning Calorimetry techniques. The obtained results are interrelated to the neat polypropylene.
{"title":"Thermal and Morphological Characterization of Coagulation-Processed Nanocomposite of Polypropylene and Bio-nanocarbon obtained from Bamboo","authors":"Z. Nisa, Lee Kean Chuan, Saba Ayub, Beh Hoe Guan, F. Ahmad","doi":"10.1109/IEEECONF53624.2021.9668152","DOIUrl":"https://doi.org/10.1109/IEEECONF53624.2021.9668152","url":null,"abstract":"Bio nano carbon obtained from bamboo (Gigantochloa scortechinii) was used as filler in polypropylene to synthesize its nanocomposite using the coagulation technique. The nanocomposite was prepared with two percent filler loading. Structural elucidation of the nanocomposite was carried out by Fourier transform infrared spectroscopy, the morphological study was done by Field emission Scanning electron and Thermal studies were investigated using Thermogravimetric Analysis and Differential Scanning Calorimetry techniques. The obtained results are interrelated to the neat polypropylene.","PeriodicalId":389608,"journal":{"name":"2021 Third International Sustainability and Resilience Conference: Climate Change","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115472880","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-11-15DOI: 10.1109/IEEECONF53624.2021.9667970
S. A. Osman, Ayed Eid Alluqmani, M. Arifuzzaman, M. Aburizaiza, W. K. Sindi, Md Shah Alam
In this study, several machine learning techniques were applied to predict the compressive strength of concrete on the 7th day. For the current research, samples were collected from 60 different concrete mixer plants in the Eastern province of Saudi Arabia. A total of 12 to 15 sets of samples were collected from each plant. Each set consisted of 6 cylinders; therefore, a database was established from tests on more than 567 samples. The data was used to validate and train three machine learning (ML) models: Credal Decision Trees (CDT), Multi-Layer Perceptron (MLP) and Naïve Bayes Classifiers. Modelling related to ML (specifically, CDT, MLP and Naïve Bayes) is used in the current study to see the possibility of predicting the compressive strength of concrete at 7 days. The Naïve Bayes performed the best with respect to prediction, Kappa stat and time consumption. The results show that Naive Bayes had the higher Kappa stat compared to CDT and MLP, indicating that NB has the best match between the trained and tested data. In addition, NB had the highest F-Measure score, which shows high precision. The results also show that NB has the highest Correctly Classified Instance among the algorithms tested, with respect to the time needed to build the model.
{"title":"Application of Machine Learning for Prediction of Early Seven-Day Strength of Concrete in Factories","authors":"S. A. Osman, Ayed Eid Alluqmani, M. Arifuzzaman, M. Aburizaiza, W. K. Sindi, Md Shah Alam","doi":"10.1109/IEEECONF53624.2021.9667970","DOIUrl":"https://doi.org/10.1109/IEEECONF53624.2021.9667970","url":null,"abstract":"In this study, several machine learning techniques were applied to predict the compressive strength of concrete on the 7th day. For the current research, samples were collected from 60 different concrete mixer plants in the Eastern province of Saudi Arabia. A total of 12 to 15 sets of samples were collected from each plant. Each set consisted of 6 cylinders; therefore, a database was established from tests on more than 567 samples. The data was used to validate and train three machine learning (ML) models: Credal Decision Trees (CDT), Multi-Layer Perceptron (MLP) and Naïve Bayes Classifiers. Modelling related to ML (specifically, CDT, MLP and Naïve Bayes) is used in the current study to see the possibility of predicting the compressive strength of concrete at 7 days. The Naïve Bayes performed the best with respect to prediction, Kappa stat and time consumption. The results show that Naive Bayes had the higher Kappa stat compared to CDT and MLP, indicating that NB has the best match between the trained and tested data. In addition, NB had the highest F-Measure score, which shows high precision. The results also show that NB has the highest Correctly Classified Instance among the algorithms tested, with respect to the time needed to build the model.","PeriodicalId":389608,"journal":{"name":"2021 Third International Sustainability and Resilience Conference: Climate Change","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128340671","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-11-15DOI: 10.1109/IEEECONF53624.2021.9667975
Haneen Hassan, Sherif M. Elhady, I. Fahim
The primary by-product of the sugarcane industry is sugarcane bagasse, which is considered a raw material for molded tableware production process. Studies proved that this industry is energy and water intensive. Attempts have been conducted to produce biodegradable bagasse plates utilizing a novel drying technique for the bagasse pulp using mechanical rollers for dehydration and cold drying instead of conventional vacuum drying. It was found that the new drying mechanism reduces the energy consumed by 32% and water consumption by 90% compared to the traditional molded tableware manufacturing process. The authors conducted a production cost comparison in respect to the equipment used between the traditional manufacturing process and the proposed innovative production process. There is a noticeable reduction in energy cost and water consumption after implementing the novel drying process.
{"title":"Investigation of a novel drying technique in tableware production process","authors":"Haneen Hassan, Sherif M. Elhady, I. Fahim","doi":"10.1109/IEEECONF53624.2021.9667975","DOIUrl":"https://doi.org/10.1109/IEEECONF53624.2021.9667975","url":null,"abstract":"The primary by-product of the sugarcane industry is sugarcane bagasse, which is considered a raw material for molded tableware production process. Studies proved that this industry is energy and water intensive. Attempts have been conducted to produce biodegradable bagasse plates utilizing a novel drying technique for the bagasse pulp using mechanical rollers for dehydration and cold drying instead of conventional vacuum drying. It was found that the new drying mechanism reduces the energy consumed by 32% and water consumption by 90% compared to the traditional molded tableware manufacturing process. The authors conducted a production cost comparison in respect to the equipment used between the traditional manufacturing process and the proposed innovative production process. There is a noticeable reduction in energy cost and water consumption after implementing the novel drying process.","PeriodicalId":389608,"journal":{"name":"2021 Third International Sustainability and Resilience Conference: Climate Change","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128197070","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-11-15DOI: 10.1109/IEEECONF53624.2021.9668128
M. Adhab, N. Al-Kuwaiti, R. Al-ani
During the past 35 years, Iraq has invested a tremendous amount of resources to develop a modern agricultural system. This effort has resulted in a leap, particularly, in cereal and vegetable production that met up to 70% of the nation's demands in 1990s. Since 2003, the percent has dropped to score 35% in the year 2010 due to political unrest. Although the agricultural system has been extremely affected in the past 15 years, farmers have been struggling to keep on their business and to contribute to the Iraqi market against high competent producers that include big agricultural neighboring countries like Turkey, Iran and Syria. However, there is another important issue tackling the production and has not been well documented in Iraq. This issue is the plant disease and viral diseases in particular, which has been a limiting factor for sustainable production of many important crops in Iraq. This article presents a comprehensive view on the plant viruses, their importance, and distribution in Iraq. Collectively, there are 43 different viruses reported countrywide. Most studies have been published in local journals, which are published in Arabic. The data presented in this article were gleaned from literatures publicly available from local and international publications as well as conferences and official reports. We are here abstracting the information about virus diseases in Iraq for the first time in order to present it internationally rather than locally.
{"title":"Biodiversity and occurrence of plant viruses over four decades: Case study for Iraq","authors":"M. Adhab, N. Al-Kuwaiti, R. Al-ani","doi":"10.1109/IEEECONF53624.2021.9668128","DOIUrl":"https://doi.org/10.1109/IEEECONF53624.2021.9668128","url":null,"abstract":"During the past 35 years, Iraq has invested a tremendous amount of resources to develop a modern agricultural system. This effort has resulted in a leap, particularly, in cereal and vegetable production that met up to 70% of the nation's demands in 1990s. Since 2003, the percent has dropped to score 35% in the year 2010 due to political unrest. Although the agricultural system has been extremely affected in the past 15 years, farmers have been struggling to keep on their business and to contribute to the Iraqi market against high competent producers that include big agricultural neighboring countries like Turkey, Iran and Syria. However, there is another important issue tackling the production and has not been well documented in Iraq. This issue is the plant disease and viral diseases in particular, which has been a limiting factor for sustainable production of many important crops in Iraq. This article presents a comprehensive view on the plant viruses, their importance, and distribution in Iraq. Collectively, there are 43 different viruses reported countrywide. Most studies have been published in local journals, which are published in Arabic. The data presented in this article were gleaned from literatures publicly available from local and international publications as well as conferences and official reports. We are here abstracting the information about virus diseases in Iraq for the first time in order to present it internationally rather than locally.","PeriodicalId":389608,"journal":{"name":"2021 Third International Sustainability and Resilience Conference: Climate Change","volume":"94 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124158099","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-11-15DOI: 10.1109/IEEECONF53624.2021.9668070
M. Sajjad, Hu Anfeng, A. H. Qureshi, Liao Yonghua
The rapid economic development of China is also a threat to environmental sustainability, there is an urgent need to boost the environment friendly construction to cope with the rising issues. In this regard, a questionnaire-based survey was conducted to identify and evaluate the major barriers and drivers to sustainable construction (SC) in China. Moreover, SC experts were interviewed to get an insight of where these barriers are likely to cause hinderance during the construction phases and where the drivers can help up to some extent to tackle the problems. The overall aim of the research was to identify barriers that need to be overcome so that progress can be made towards the adoption of sustainable development. The results show that, lack of clear benefits from SC; lack of technical knowledge or trainings; concerns about durability and performance; affordability or financing; and de-lay in decision making; are the top five barriers with extremely high impact to slowdown the race towards sustainability in construction. On the other hand, financial incentives; more demonstration on policies and procedures; developing regulatory mechanism; client demand; and legislation or legal requirement; are the top five drivers which can spur the green buildings construction in China.
{"title":"Identification and evaluation of barriers and drivers to sustainable construction in China","authors":"M. Sajjad, Hu Anfeng, A. H. Qureshi, Liao Yonghua","doi":"10.1109/IEEECONF53624.2021.9668070","DOIUrl":"https://doi.org/10.1109/IEEECONF53624.2021.9668070","url":null,"abstract":"The rapid economic development of China is also a threat to environmental sustainability, there is an urgent need to boost the environment friendly construction to cope with the rising issues. In this regard, a questionnaire-based survey was conducted to identify and evaluate the major barriers and drivers to sustainable construction (SC) in China. Moreover, SC experts were interviewed to get an insight of where these barriers are likely to cause hinderance during the construction phases and where the drivers can help up to some extent to tackle the problems. The overall aim of the research was to identify barriers that need to be overcome so that progress can be made towards the adoption of sustainable development. The results show that, lack of clear benefits from SC; lack of technical knowledge or trainings; concerns about durability and performance; affordability or financing; and de-lay in decision making; are the top five barriers with extremely high impact to slowdown the race towards sustainability in construction. On the other hand, financial incentives; more demonstration on policies and procedures; developing regulatory mechanism; client demand; and legislation or legal requirement; are the top five drivers which can spur the green buildings construction in China.","PeriodicalId":389608,"journal":{"name":"2021 Third International Sustainability and Resilience Conference: Climate Change","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115558519","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-11-15DOI: 10.1109/IEEECONF53624.2021.9668074
A. H. Qureshi, W. Alaloul, B. Manzoor, S. Saad, A. M. Alawag, K. Alzubi
Industry 4.0 and progress monitoring via digital technologies for sustainable construction projects are greenfield areas among the research community. However, special consideration is required towards the effective implementation of the Industry 4.0 theme in automated construction progress monitoring processes as an emerging concept, as it leads to sustainable construction. This study intends to identify the macro-level and the micro-level implementation challenges towards sustainable automated progress monitoring processes under the Industry 4.0 framework. The Industry 4.0 operational framework was developed for automated construction progress monitoring to review the whole process, based on the collected literature. This study divides the automated progress monitoring process into three categories, and challenges were highlighted separately, based on the specific mode of operation. The study also highlights the Industry 4.0 challenges in the execution of automated construction progress monitoring and the remedial actions for procedural improvements.
{"title":"Implementation Challenges of Automated Construction Progress Monitoring Under Industry 4.0 Framework Towards Sustainable Construction","authors":"A. H. Qureshi, W. Alaloul, B. Manzoor, S. Saad, A. M. Alawag, K. Alzubi","doi":"10.1109/IEEECONF53624.2021.9668074","DOIUrl":"https://doi.org/10.1109/IEEECONF53624.2021.9668074","url":null,"abstract":"Industry 4.0 and progress monitoring via digital technologies for sustainable construction projects are greenfield areas among the research community. However, special consideration is required towards the effective implementation of the Industry 4.0 theme in automated construction progress monitoring processes as an emerging concept, as it leads to sustainable construction. This study intends to identify the macro-level and the micro-level implementation challenges towards sustainable automated progress monitoring processes under the Industry 4.0 framework. The Industry 4.0 operational framework was developed for automated construction progress monitoring to review the whole process, based on the collected literature. This study divides the automated progress monitoring process into three categories, and challenges were highlighted separately, based on the specific mode of operation. The study also highlights the Industry 4.0 challenges in the execution of automated construction progress monitoring and the remedial actions for procedural improvements.","PeriodicalId":389608,"journal":{"name":"2021 Third International Sustainability and Resilience Conference: Climate Change","volume":"202 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124541560","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-11-15DOI: 10.1109/IEEECONF53624.2021.9668153
Ghani Albaali, F. Al-Naima
High Hydrostatic Pressure (HHP) of food is regarded as an attractive alternative method to the heating method. The engineers working in this area try to fill the gap between the demand of consumers in obtaining high nutritional quality and a high standard of production. The profile contours of temperature, pressure, and velocity for a cylinder full of water during a HHP process are presented and studied in this work. The natural convection heating was also simulated for the sterilization process, where the pressure is presumed to rise from the Atmospheric Pressure (AP) to 500 MPa. The Naiver Stocks equations for the energy conservation, momentum, and continuity were solved using Computational Fluid Dynamics (CFD). The simulations showed clearly that the process of heat transfer during the HHP at the end of compression is particularly dominated by conduction heating, due to the little effects of natural convection heating.
{"title":"A Numerical Study of High Hydrostatic Pressure Using CFD","authors":"Ghani Albaali, F. Al-Naima","doi":"10.1109/IEEECONF53624.2021.9668153","DOIUrl":"https://doi.org/10.1109/IEEECONF53624.2021.9668153","url":null,"abstract":"High Hydrostatic Pressure (HHP) of food is regarded as an attractive alternative method to the heating method. The engineers working in this area try to fill the gap between the demand of consumers in obtaining high nutritional quality and a high standard of production. The profile contours of temperature, pressure, and velocity for a cylinder full of water during a HHP process are presented and studied in this work. The natural convection heating was also simulated for the sterilization process, where the pressure is presumed to rise from the Atmospheric Pressure (AP) to 500 MPa. The Naiver Stocks equations for the energy conservation, momentum, and continuity were solved using Computational Fluid Dynamics (CFD). The simulations showed clearly that the process of heat transfer during the HHP at the end of compression is particularly dominated by conduction heating, due to the little effects of natural convection heating.","PeriodicalId":389608,"journal":{"name":"2021 Third International Sustainability and Resilience Conference: Climate Change","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116993748","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-11-15DOI: 10.1109/IEEECONF53624.2021.9668090
Abdulla Sayed Ahmed, Abdulla Almanea, Ahmed Alsuliman, Abdulla Alsuliman, M. Ismail
The environment is being heavily affected due to human actions and increased urbanization. It is well known that with the increase of conventional buildings, the risk is higher on the environment due to its unsustainable nature and the way it drains resources and harms the environment. This case study paper aims to show the importance of moving from conventional buildings into green buildings. Specifically, it provides information needed to understand what green buildings are and why they are better options than conventional buildings. Green buildings are structures that focus on not harming the environment and draining resources. The most common criteria to measure how green a building is LEED (Leadership in Energy and Environmental Design). A case study was conducted on an existing building in Bahrain to illustrate green buildings' applicability. A comparison was made between conventional buildings and green buildings, and the method to compare was LEED crediting system. This case study proved that conventional buildings consume much more resources, and green buildings are considered a better option in terms of all aspects related to the environment, energy, and cost. The case study showed that green buildings have a lower cost, less material waste, and less energy consumption. As a recommendation, the concept of green buildings should be considered when constructing new buildings and applied to existing buildings.
{"title":"A case study on Green Buildings and its applicability in Bahrain","authors":"Abdulla Sayed Ahmed, Abdulla Almanea, Ahmed Alsuliman, Abdulla Alsuliman, M. Ismail","doi":"10.1109/IEEECONF53624.2021.9668090","DOIUrl":"https://doi.org/10.1109/IEEECONF53624.2021.9668090","url":null,"abstract":"The environment is being heavily affected due to human actions and increased urbanization. It is well known that with the increase of conventional buildings, the risk is higher on the environment due to its unsustainable nature and the way it drains resources and harms the environment. This case study paper aims to show the importance of moving from conventional buildings into green buildings. Specifically, it provides information needed to understand what green buildings are and why they are better options than conventional buildings. Green buildings are structures that focus on not harming the environment and draining resources. The most common criteria to measure how green a building is LEED (Leadership in Energy and Environmental Design). A case study was conducted on an existing building in Bahrain to illustrate green buildings' applicability. A comparison was made between conventional buildings and green buildings, and the method to compare was LEED crediting system. This case study proved that conventional buildings consume much more resources, and green buildings are considered a better option in terms of all aspects related to the environment, energy, and cost. The case study showed that green buildings have a lower cost, less material waste, and less energy consumption. As a recommendation, the concept of green buildings should be considered when constructing new buildings and applied to existing buildings.","PeriodicalId":389608,"journal":{"name":"2021 Third International Sustainability and Resilience Conference: Climate Change","volume":"159 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127364854","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-11-15DOI: 10.1109/IEEECONF53624.2021.9668072
M. Hameed, Faidhalrahman Khaleel, M. Abed, Deiaaldeen Khaleel, M. Alomar
As temperatures rise globally, parts of the water cycle will likely speed up due to climate change as evapotranspiration rates increase throughout the world. In this study, three models have been applied to predict the daily evapotranspiration (ETo) over Santaella station, which is located in Spain. The models are Hargreaves-Samani (HS), modified Hargreaves-Samani (MHS), and Group Method of Data Handling neural network (GMDH-NN). These models are developed using very limited data (temperature parameter). The study found that the HS approach provides the poorest prediction, while the GMDH performance was superior to the MHS. Furthermore, the GMDH-NN model showed a prediction improvement of 16.45% in terms of uncertainty at 95% compared to the MHS model. The study also showed that it is possible to efficiently predict the ETo using a very limited number of meteorological parameters.
随着全球气温上升，随着全球蒸发蒸腾速率的增加，部分水循环可能会因气候变化而加速。本文采用三种模式对西班牙圣泰拉站的日蒸散量进行了预测。这些模型分别是Hargreaves-Samani (HS)、modified Hargreaves-Samani (MHS)和Group Method of Data Handling neural network (GMDH-NN)。这些模型是使用非常有限的数据(温度参数)开发的。研究发现HS方法的预测效果最差，GMDH的预测效果优于MHS方法。此外，与MHS模型相比，GMDH-NN模型在95%的不确定性方面的预测提高了16.45%。该研究还表明，利用非常有限的气象参数有效地预测ETo是可能的。
{"title":"An effective predictive model for daily evapotranspiration based on a limited number of meteorological parameters","authors":"M. Hameed, Faidhalrahman Khaleel, M. Abed, Deiaaldeen Khaleel, M. Alomar","doi":"10.1109/IEEECONF53624.2021.9668072","DOIUrl":"https://doi.org/10.1109/IEEECONF53624.2021.9668072","url":null,"abstract":"As temperatures rise globally, parts of the water cycle will likely speed up due to climate change as evapotranspiration rates increase throughout the world. In this study, three models have been applied to predict the daily evapotranspiration (ETo) over Santaella station, which is located in Spain. The models are Hargreaves-Samani (HS), modified Hargreaves-Samani (MHS), and Group Method of Data Handling neural network (GMDH-NN). These models are developed using very limited data (temperature parameter). The study found that the HS approach provides the poorest prediction, while the GMDH performance was superior to the MHS. Furthermore, the GMDH-NN model showed a prediction improvement of 16.45% in terms of uncertainty at 95% compared to the MHS model. The study also showed that it is possible to efficiently predict the ETo using a very limited number of meteorological parameters.","PeriodicalId":389608,"journal":{"name":"2021 Third International Sustainability and Resilience Conference: Climate Change","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115020979","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2021-11-15DOI: 10.1109/IEEECONF53624.2021.9668120
Kamalanathan Shanmugam, Muhammad Ehsan Rana, Roshenpal Singh Jaspal Singh
Rapid development has also negatively impacted the sources that provide raw water for agricultural, domestic, and industrial needs. All these sources have been polluted due to man's pure pursuit of economic greed, which has caused illegal waste dumping and high amounts of industrial waste above government regulations, surpassing the ecosystem's self-purification capabilities. In addition, these water systems lead to treatment plants across the country to be treated before daily consumption for domestic use. There have been cases whereby even the treatment plants had to be shut down, which caused water disruptions, namely in Selangor, Kuala Lumpur, and their neighbouring regions. Water quality today should be at its best; however, there have been many occurrences when it has been proven otherwise, both in Malaysia and internationally. In this paper, the authors have proposed an IoT based solution that helps people easily monitor the water quality supplied to their homes.
{"title":"IoT-based Smart Water Quality Monitoring System for Malaysia","authors":"Kamalanathan Shanmugam, Muhammad Ehsan Rana, Roshenpal Singh Jaspal Singh","doi":"10.1109/IEEECONF53624.2021.9668120","DOIUrl":"https://doi.org/10.1109/IEEECONF53624.2021.9668120","url":null,"abstract":"Rapid development has also negatively impacted the sources that provide raw water for agricultural, domestic, and industrial needs. All these sources have been polluted due to man's pure pursuit of economic greed, which has caused illegal waste dumping and high amounts of industrial waste above government regulations, surpassing the ecosystem's self-purification capabilities. In addition, these water systems lead to treatment plants across the country to be treated before daily consumption for domestic use. There have been cases whereby even the treatment plants had to be shut down, which caused water disruptions, namely in Selangor, Kuala Lumpur, and their neighbouring regions. Water quality today should be at its best; however, there have been many occurrences when it has been proven otherwise, both in Malaysia and internationally. In this paper, the authors have proposed an IoT based solution that helps people easily monitor the water quality supplied to their homes.","PeriodicalId":389608,"journal":{"name":"2021 Third International Sustainability and Resilience Conference: Climate Change","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115274273","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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