Currently, for awareness of environmental problems and to solve problems related to the environment, the largest duty falls to other public institutions like universities. Especially our universities, educational institutions with highest information production and information flow to society, are institutions where environmental awareness should be highest. For this reason, currently universities are ranked on both national and international scales with points according to sustainable and applicable social contribution and the magnitude of social responsibility projects.
In terms of universities, the concept of green campus includes the main lines of an approach focused on sustainable environmental management accepted for the last 10 years around the world. In order to attain this academic concept, universities around the world came together to determine a variety of environmental indexes and ranked universities in terms of sustainable environmental policies and management.
In our study, a road map to ensure universities in Turkey can be included in the top ranks in the world in general in terms of sustainability and environmental awareness indexes and how they can become green campuses was researched. In this context; the UI GreenMetric Certificate System, determining the road map for world universities to recognize and integrate the green campus concept at sustainable environmental scale, was implemented on an international platform by Indonesia University in 2010 and until 2021, it has undergone various updates in the historical process. The last update was made on the basis of Covid-19 in May-2021 and it took its final form. Covid-19 updates are only in the size of scoring indicators; no changes were made in the total scores and percentiles of the main categories.

UI GreenMetric with May 2021 Covid-19 Update and Our Universities

1870260

English

: Sustainable Environmental Management

 Green Campus

 UI GreenMetric Certificate

 Covid-19 Update

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Currently cities are faced with many environmental problems in parallel with increased population, like environmental pollution (water, soil, noise and air pollution, etc.), drinking water problems, water scarcity/use, resource scarcity, traffic, large natural disasters, lack of green space, insufficient infrastructure, migration and unplanned urbanization, public health problems, carbon emissions, rapidly increasing population, radiation and energy crises. Cities with rapidly increasing populations using communication technologies and technological infrastructure to resolve all these problems are called smart cities and it is unavoidable that future cities will be designed with the understanding of a new generation. One of the subareas of smart cities for solutions to environmental problems included among these many problems is the use of smart environment applications.
With the aid of smart environment applications using smart technologies, many types of pollutants including noise, different types of waste, carbon emissions (carbon footprint), radiation and light, in addition to the classic air-water-soil pollutants, can be monitored and managed. Smart environment applications can produce important solutions to solve chronic problems like water scarcity/use, energy, global warming and climate change, which directly affect these basic environmental problems.
This article investigates sample applications in cities taking important steps to become smart cities in Turkey and how smart environment applications are used to solve these problems in cities with large populations faced with rapidly increasing environmental problems. Sample applications will be presented by examining studies, reports and references related to organizations and institutions especially. As in the rest of the world, smart environment applications are rapidly being implemented in the design of example smart towns in our country. Through contributions of the Ministry of Environment and Urbanization and the Ministry of Industry and Technology, local administrations and other organizations on a city basis have taken important steps to becoming smart cities by using smart environment applications.

SMART ENVIRONMENT APPLICATIONS and GENERAL STATUS in TURKEY

1905152

Smart cities

 Smart Environment

 Smart Technologies

The main objective of this study is to assess the Effects of Noise Pollution on Students’ Performance in Kano Metropolitan Local Government Areas. The study utilized descriptive research design. Multi-state sampling techniques were adopted where 377 respondents were involved using questionnaire as instrument for data collection. Percentage and frequency count were used in data analysis while table and charts were used in data analysis. So, research has the following findings:the main source of noise pollution around the school environment is automobiles while the least is religious activities the major impact of noise pollution based on the students’ responses is effect hearing negatively while the least one is noise pollution cause deafness and the major ways to be follow in solving noise pollution around school environment are through public enlightenment followed by government effort where government should put more effort in law enactment and implementation perfectly and appropriately. The research recommends that a strict law concerning noise pollution in educational institutes should be made and implemented; the ministries of environment, land and education should revise policies regulating the location and maintenance of schools to ensure effective compliance and so on.

ASSESSMENT OF THE EFFECTS OF NOISE POLLUTION ON STUDENTS PERFORMANCE IN KANO METROPOLITAN LOCAL GOVERNMENT AREAS

1892681

Noise Pollution

 Kano Metropolitan

 Student Performance

One of the most essential variables in water quality management and planning appears to be biological treatment in wastewater treatment plants. This critical characteristic, however, is difficult to measure and takes a long time to produce accurate findings. Scientists have attempted to develop several strategies to solve these challenges. Artificial intelligence models are one such way it is feasible to monitor the treatment plants pollutant parameters and manage these pollution elements during processing more reliably and economically. The use of a fuzzy logic model to control biological wastewater treatment is proposed in this research. The objective of these software models is to predict future treatment problems, intervene in the facility quickly and effectively, reduce or eliminate environmental pollution, improve the ecosystem, and determine the treatment efficiency of the wastewater treatment plant by using fewer laboratory-scale reactors and pilot plants. This study aims to use artificial intelligence models (fuzzy logic model) to achieve the best biological treatment (BOD, TN and TP) while at the same time ensuring that the treated wastewater is within the standards. The model was generated using FL (MATLAB software was used to create the FL model), and the model inputs are HRT, pH, temperature, F/M and BOD load to assess to which degree each of these variables affects BOD, TN and TP. The model outputs were within the acceptable wastewater quality standards according to the Turkish water pollution control regulation for the receiving environment of treated wastewater.

Using of a fuzzy logic as one of the artificial intelligence models to increase the efficiency of the biological treatment ponds in wastewater treatment plants

1958123

Biological treatment

 artificial intelligence models

 fuzzy logic

 treated wastewater

 Biological Oxygen Demand

 total nitrogen and total phosphorus

COVID-19 has spread rapidly all over the world and affects most people. Lock-down due to the COVID-19 has enhanced air quality in most populated cities of the world. In this study, the air quality of Kabul city pre-COVID-19 and post-COVID-19 is assessed. Five parameters (pollutants) in air quality have been assessed which are: suspended particles with the diameter (PM10, PM2.5), carbon monoxide (CO), sulfur oxide (SO2), nitrogen dioxide (NO2), and ozone (O3). The air quality parameters have been compared with their National Air Quality Standard values. The air quality of Kabul pre-COVID-19 was hazardous and not healthy. In post-COVID-19 lock-down the air quality of the city has enhanced. The air quality of Afghanistan is not safe, especially in major cities. Kabul is the capital of the country which is suffering from poor air quality.

Volume 4 Issue 2

UI GreenMetric with May 2021 Covid-19 Update and Our Universities

SMART ENVIRONMENT APPLICATIONS and GENERAL STATUS in TURKEY

ASSESSMENT OF THE EFFECTS OF NOISE POLLUTION ON STUDENTS PERFORMANCE IN KANO METROPOLITAN LOCAL GOVERNMENT AREAS

Using of a fuzzy logic as one of the artificial intelligence models to increase the efficiency of the biological treatment ponds in wastewater treatment plants

COVID-19 Lock-down and Air Quality Enhancement in Kabul

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