Natural systems are a cost-effective way to clean wastewater from small communities. This paper aims to use an optimization technique to minimize the volume of concrete needed to construct a facultative pond provided within a series of three ponds. A nonlinear constrained optimization model was written and then solved using one of the Add-Ins of MS office. The add-in used was Excel Solver, and the algorithm was generalized reduced gradient (GRG). Before applying the optimization model, wastewater stabilization ponds (WSPs) were designed using various configurations and arrangements. The best possible configuration that gave minimum area and hydraulic detention time was selected for the study area. Afterward, the optimization model was applied that further reduced the area by 11.46 %, hydraulic detention time by 11.47%, and concrete volume by 6.94% compared to the traditional approach. In both methods, effluents satisfy the Turkish class-B standards for irrigation. It is recommended that a small-scale application of the model be made to compare the results before applying it on a large scale.
{"title":"Optimizing the amount of concrete for the construction of Wastewater Stabilization Ponds: A case study of Ayvadere, Trabzon, Turkey","authors":"H. Q. Ali, Osman Üçüncü","doi":"10.35208/ert.1141587","DOIUrl":"https://doi.org/10.35208/ert.1141587","url":null,"abstract":"Natural systems are a cost-effective way to clean wastewater from small communities. This paper aims to use an optimization technique to minimize the volume of concrete needed to construct a facultative pond provided within a series of three ponds. A nonlinear constrained optimization model was written and then solved using one of the Add-Ins of MS office. The add-in used was Excel Solver, and the algorithm was generalized reduced gradient (GRG). Before applying the optimization model, wastewater stabilization ponds (WSPs) were designed using various configurations and arrangements. The best possible configuration that gave minimum area and hydraulic detention time was selected for the study area. Afterward, the optimization model was applied that further reduced the area by 11.46 %, hydraulic detention time by 11.47%, and concrete volume by 6.94% compared to the traditional approach. In both methods, effluents satisfy the Turkish class-B standards for irrigation. It is recommended that a small-scale application of the model be made to compare the results before applying it on a large scale.","PeriodicalId":126818,"journal":{"name":"Environmental Research and Technology","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130439194","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}
Graphene oxide (GO) and reduced graphene oxide (rGO) are efficient and low-cost adsorbent carbon-based materials for removing Pb(II) ions from wastewater. This study focuses on the synthesizing GO and rGO by green methods with Tour approach and reduction with L-ascorbic acid, respectively and were characterized by X-ray diffraction, Fourier transform infra-red spectroscopy, Raman spectroscopy and scanning electron microscopy with energy dispersive X-ray spectroscopy. The prepared GO and rGO were used to adsorb Pb(II) ions from aqueous solutions. From the adsorption isotherms, the maximum adsorption capacities of Pb(II) ions on GO and rGO calculated from the Langmuir (117.6 mg/g) and Dubinin–Radushkevich isotherms (138.5 mg/g), respectively, higher than reported studies in the literature. By thermodynamic investigation, it was found that the adsorption of Pb(II) ions on GO and rGO was spontaneous and exothermic.
{"title":"Comparative study of adsorption performances of lead (II) ions on green synthesized graphene oxide and reduced graphene oxide: isotherm and thermodynamic studies","authors":"İ. G. Kaptanoğlu, S. Yusan","doi":"10.35208/ert.1110373","DOIUrl":"https://doi.org/10.35208/ert.1110373","url":null,"abstract":"Graphene oxide (GO) and reduced graphene oxide (rGO) are efficient and low-cost adsorbent carbon-based materials for removing Pb(II) ions from wastewater. This study focuses on the synthesizing GO and rGO by green methods with Tour approach and reduction with L-ascorbic acid, respectively and were characterized by X-ray diffraction, Fourier transform infra-red spectroscopy, Raman spectroscopy and scanning electron microscopy with energy dispersive X-ray spectroscopy. The prepared GO and rGO were used to adsorb Pb(II) ions from aqueous solutions. From the adsorption isotherms, the maximum adsorption capacities of Pb(II) ions on GO and rGO calculated from the Langmuir (117.6 mg/g) and Dubinin–Radushkevich isotherms (138.5 mg/g), respectively, higher than reported studies in the literature. By thermodynamic investigation, it was found that the adsorption of Pb(II) ions on GO and rGO was spontaneous and exothermic.","PeriodicalId":126818,"journal":{"name":"Environmental Research and Technology","volume":"85 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121848158","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}
In aluminium processing and coating plants, different pollution profiles occur in different units within the process. In the enamel coating part, wastewater with a more intense pollution load occurs. There is less intense pollution of wastewater in washing units. More acidic water comes out from the anodised coating units, and the waters used for washing and shaping in the units where steel bonding takes place are more oily and have high chemical oxygen demand. All these waters are combined as a result of production and discharged to the wastewater treatment plant. In this study, the characterisation of wastewater originating from the two aluminium coating plants and its reusability in the process after being treated in the current treatment plant was carried out. In addition, advanced treatment methods were applied in these two aluminium plants to evaluate the reusability of the treated water. For this, the removal and reusability of pollution parameters were investigated.
{"title":"Characterisation of Aluminium Industrial Wastewater and Investigation of Recovery Alternatives","authors":"Hicran Kaya, E. Güneş, Nesli Aydin","doi":"10.35208/ert.1036966","DOIUrl":"https://doi.org/10.35208/ert.1036966","url":null,"abstract":"In aluminium processing and coating plants, different pollution profiles occur in different units within the process. In the enamel coating part, wastewater with a more intense pollution load occurs. There is less intense pollution of wastewater in washing units. More acidic water comes out from the anodised coating units, and the waters used for washing and shaping in the units where steel bonding takes place are more oily and have high chemical oxygen demand. All these waters are combined as a result of production and discharged to the wastewater treatment plant. In this study, the characterisation of wastewater originating from the two aluminium coating plants and its reusability in the process after being treated in the current treatment plant was carried out. In addition, advanced treatment methods were applied in these two aluminium plants to evaluate the reusability of the treated water. For this, the removal and reusability of pollution parameters were investigated.","PeriodicalId":126818,"journal":{"name":"Environmental Research and Technology","volume":"101 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130825595","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}
In this study, raw biomass feedstock characterization of greenhouse post-harvest residues of tomato, pepper, and eggplant has been investigated using the wastes of stem and leaves as a source of energy gained from palletization. The characterization was compared to both sawdust and the relevant ISO and EU pellet standards. The proximate and ultimate analyses results of all the tested feedstock materials have proven to be successful candidates for pelletizing and combustion process. The bulk density of tomato, pepper, and eggplant pellets were found to be 568 kg/m3, 575 kg/m3, 589 kg/m3, respectively, and the higher heating values of these produces were found to be 17.25 MJ/kg, 17.45 MJ/kg, and 17.80 MJ/kg, respectively. Based on the results, it is possible to generate 10 tons of waste per hectare capable of producing almost 50 MWh of heating energy. Furthermore, this waste could generate more than 6.5 tons of CO2 per hectare. The study results suggest that the heating energy potential and the amount of CO2 emitted could be used in greenhouses to support photosynthesis during low temperature and low solar radiation periods.
{"title":"Investigation of the potential of greenhouse post-harvest wastes for bioenergy production and utilization for heating and carbon dioxide application","authors":"B. Şen","doi":"10.35208/ert.1128457","DOIUrl":"https://doi.org/10.35208/ert.1128457","url":null,"abstract":"In this study, raw biomass feedstock characterization of greenhouse post-harvest residues of tomato, pepper, and eggplant has been investigated using the wastes of stem and leaves as a source of energy gained from palletization. The characterization was compared to both sawdust and the relevant ISO and EU pellet standards. The proximate and ultimate analyses results of all the tested feedstock materials have proven to be successful candidates for pelletizing and combustion process. The bulk density of tomato, pepper, and eggplant pellets were found to be 568 kg/m3, 575 kg/m3, 589 kg/m3, respectively, and the higher heating values of these produces were found to be 17.25 MJ/kg, 17.45 MJ/kg, and 17.80 MJ/kg, respectively. Based on the results, it is possible to generate 10 tons of waste per hectare capable of producing almost 50 MWh of heating energy. Furthermore, this waste could generate more than 6.5 tons of CO2 per hectare. The study results suggest that the heating energy potential and the amount of CO2 emitted could be used in greenhouses to support photosynthesis during low temperature and low solar radiation periods.","PeriodicalId":126818,"journal":{"name":"Environmental Research and Technology","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129206331","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}
Developing the quality of the types of greenhouse gasses used within the global environment and reducing carbon emissions are recognized as the main of current logistic changes policies. The paper aims to evaluate the contribution of the impact of highway logistics activity, one of the most important causes of carbon dioxide emissions, on the carbon footprint of the Southern Central Anatolian provinces. In this context, multiple regression analyses were conducted in three locations in the Southern Central Anatolian (Antalya, Kayseri, Konya) involving a total of 12 monthly highway logistics activities and carbon emissions. Before analysis, summarized the status of all logistic activities in the study area and collected data related to carbon emission in these regions. However, the coupling relationship between carbon emissions and logistic conditions in regions was calculated by the regression model. The carbon footprint linked to logistics, for Antalya was 87% (R=0.87), for Kayseri was 94% (R=0.94), and for Konya was 63% (R=0.63). It can be seen that, in the multiple regression analysis, Kayseri has a higher carbon footprint than Antalya and Konya when an estimation of the quantile was carbon footprint. The main academic contribution of this study brings a new perspective to the future assessment of environmental policies and prepares a quantitative principle for the implementation of future carbon footprint policies.
{"title":"Assessment of the Highway Logistics on Carbon Footprint","authors":"Ülge Taş, Hümeyra BOLAKAR TOSUN","doi":"10.35208/ert.1109868","DOIUrl":"https://doi.org/10.35208/ert.1109868","url":null,"abstract":"Developing the quality of the types of greenhouse gasses used within the global environment and reducing carbon emissions are recognized as the main of current logistic changes policies. The paper aims to evaluate the contribution of the impact of highway logistics activity, one of the most important causes of carbon dioxide emissions, on the carbon footprint of the Southern Central Anatolian provinces. In this context, multiple regression analyses were conducted in three locations in the Southern Central Anatolian (Antalya, Kayseri, Konya) involving a total of 12 monthly highway logistics activities and carbon emissions. Before analysis, summarized the status of all logistic activities in the study area and collected data related to carbon emission in these regions. However, the coupling relationship between carbon emissions and logistic conditions in regions was calculated by the regression model. The carbon footprint linked to logistics, for Antalya was 87% (R=0.87), for Kayseri was 94% (R=0.94), and for Konya was 63% (R=0.63). It can be seen that, in the multiple regression analysis, Kayseri has a higher carbon footprint than Antalya and Konya when an estimation of the quantile was carbon footprint. The main academic contribution of this study brings a new perspective to the future assessment of environmental policies and prepares a quantitative principle for the implementation of future carbon footprint policies.","PeriodicalId":126818,"journal":{"name":"Environmental Research and Technology","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116443373","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}
Companies must meet the requirements and expectations of their customers to ensure their existence. In this sense, the main goal of this study is to show the impact of sustainable product design on corporate sustainability. The universe of the study consists of business managers who work in the metal products and machinery industry. They operate in Şanlıurfa province, which is located in the south-eastern region of Turkey and is the second-largest city in the region and is an industrial city. We used random sampling method in the study. We collected data from the participants by meeting face to face with the help of the questionnaire we created. We analysed the collected data by applying quantitative research methods and statistical analysis techniques. We found that there is a positive and significant relationship between sustainable product design and the sub-dimensions of corporate sustainability. We also reported that sustainable product design has an impact of approximately 16% on corporate sustainability. In 2022, we encountered some difficulties while collecting data due to the effects of the Covid-19 outbreak. It is prepared for that the findings gained in this investigation will contribute to the literature by shedding light on studies planned for the future. In addition, the study was limited to correlation and simple regression analyses. It is recommended that other methods of analysis be used in future studies.
{"title":"The Effect of Sustainable Product Design on Corporate Sustainability: The Example of Manufacturing Enterprises in Turkey","authors":"Ahmet Fidanoğlu, Bekir Deği̇rmenci̇","doi":"10.35208/ert.1113773","DOIUrl":"https://doi.org/10.35208/ert.1113773","url":null,"abstract":"Companies must meet the requirements and expectations of their customers to ensure their existence. In this sense, the main goal of this study is to show the impact of sustainable product design on corporate sustainability. The universe of the study consists of business managers who work in the metal products and machinery industry. They operate in Şanlıurfa province, which is located in the south-eastern region of Turkey and is the second-largest city in the region and is an industrial city. We used random sampling method in the study. We collected data from the participants by meeting face to face with the help of the questionnaire we created. We analysed the collected data by applying quantitative research methods and statistical analysis techniques. We found that there is a positive and significant relationship between sustainable product design and the sub-dimensions of corporate sustainability. We also reported that sustainable product design has an impact of approximately 16% on corporate sustainability. In 2022, we encountered some difficulties while collecting data due to the effects of the Covid-19 outbreak. It is prepared for that the findings gained in this investigation will contribute to the literature by shedding light on studies planned for the future. In addition, the study was limited to correlation and simple regression analyses. It is recommended that other methods of analysis be used in future studies.","PeriodicalId":126818,"journal":{"name":"Environmental Research and Technology","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115223966","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}
An adaptive network-based fuzzy inference system (ANFIS) was used to develop models for the prediction of removal efficiency of biological oxygen demand (BOD), total nitrogen (TN), total phosphorus (TP), and total suspended solids(TSS) in a wastewater treatment plant. In a primary and biological wastewater treatment facility, ANFIS' hybrid learning algorithm was utilized to model the nonlinear interactions between influent pollutant variables and effluent variables. ANFIS is very beneficial for highly nonlinear processes, such as WWTP. By examining linear correlation matrices among input and output variables, input variables for BOD, TN, TP, and TSS models were hydraulic retention time(HRT), temperature(T), and dissolved oxygen(DO). The results show that the created system is capable of providing appropriate predicting and control outcomes. ANFIS was able to achieve minimum mean square errors of 0.1673, 0.0266, 0.0318, and 0.0523 for BOD, TN, TP, and TSS, respectively. BOD, TN, TP, and TSS all have very high correlation coefficients. The prediction performance of ANFIS in the wastewater treatment plant was satisfactory.
{"title":"Enhance modelling predicting for removal efficacy of primary and biological treatment in wastewater treatment plants by using an adaptive neuro-fuzzy inference system.","authors":"Hussein M. Alnajjar, Osman Üçüncü","doi":"10.35208/ert.1106463","DOIUrl":"https://doi.org/10.35208/ert.1106463","url":null,"abstract":"An adaptive network-based fuzzy inference system (ANFIS) was used to develop models for the prediction of removal efficiency of biological oxygen demand (BOD), total nitrogen (TN), total phosphorus (TP), and total suspended solids(TSS) in a wastewater treatment plant. In a primary and biological wastewater treatment facility, ANFIS' hybrid learning algorithm was utilized to model the nonlinear interactions between influent pollutant variables and effluent variables. ANFIS is very beneficial for highly nonlinear processes, such as WWTP. By examining linear correlation matrices among input and output variables, input variables for BOD, TN, TP, and TSS models were hydraulic retention time(HRT), temperature(T), and dissolved oxygen(DO). The results show that the created system is capable of providing appropriate predicting and control outcomes. ANFIS was able to achieve minimum mean square errors of 0.1673, 0.0266, 0.0318, and 0.0523 for BOD, TN, TP, and TSS, respectively. BOD, TN, TP, and TSS all have very high correlation coefficients. The prediction performance of ANFIS in the wastewater treatment plant was satisfactory.","PeriodicalId":126818,"journal":{"name":"Environmental Research and Technology","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130143388","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}
The climate crisis is becoming more visible day by day and is affecting the ecological system more and more. However, despite such a visible threat and its severe effects, efforts at the national and international levels are far from tackling the climate crisis. Especially with its rapid growth and ever-increasing emission rates, the commercial aviation sector remains inadequate in combating the climate crisis. This study discusses the struggles of the global commercial aviation sector in terms of the climate crisis and the reflections of this combat on the Turkish commercial aviation sector. As a result, both international and domestic commercial aviation sectors follow an unrealistic attitude in the fight against the climate crisis, and there is still a long way to go.
{"title":"Global Commercial Aviation Policies in the Context of the Climate Crisis and an Analysis of These Approaches from the Perspective of Turkey","authors":"Selçuk Gürçam","doi":"10.35208/ert.1113781","DOIUrl":"https://doi.org/10.35208/ert.1113781","url":null,"abstract":"The climate crisis is becoming more visible day by day and is affecting the ecological system more and more. However, despite such a visible threat and its severe effects, efforts at the national and international levels are far from tackling the climate crisis. Especially with its rapid growth and ever-increasing emission rates, the commercial aviation sector remains inadequate in combating the climate crisis. This study discusses the struggles of the global commercial aviation sector in terms of the climate crisis and the reflections of this combat on the Turkish commercial aviation sector. As a result, both international and domestic commercial aviation sectors follow an unrealistic attitude in the fight against the climate crisis, and there is still a long way to go.","PeriodicalId":126818,"journal":{"name":"Environmental Research and Technology","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128832373","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}
Slaughterhouse wastewater is one of the most produced industrial wastewater in the world. This wastewater can cause a high level of pollutant effect when the process is given to riverbeds or sewage systems without any treatment. Wastewater contains proteins, fats, carbohydrates in the treatment of blood, skin and feathers, which results in much higher biological oxygen demand (BOD) and chemical oxygen content (COD) In this study, the use of wastewaters with high organic, nitrogen (N) and phosphorus (P) as an agricultural product has been examined. In addition to these results, the Life Cycle Analysis (LCA) of the ultrafiltration system was also carried out. Accordingly, the effects of ultrafiltration system on human health, ecosystem quality, climate change and resources were calculated as 0,00000046 DALY, 0,134 PDFxm2yr, 0,336 kg CO2 eq and 6,937 MJ respectively. In the light of the results, it is thought that the wastewaters of the slaughterhouse industry can be used as irrigation water after passing through the ultrafiltration membrane because of the high amount of N and P.
屠宰场废水是世界上产生最多的工业废水之一。这种废水在未经任何处理的情况下被排放到河床或污水系统中，会造成高度的污染效应。在处理血液、皮肤和羽毛的过程中，废水中含有蛋白质、脂肪和碳水化合物，导致生物需氧量(BOD)和化学氧含量(COD)大大增加。本研究对高有机、氮(N)和磷(P)废水作为农产品的利用进行了研究。除了这些结果，超滤系统的生命周期分析(LCA)也进行了。据此，超滤系统对人类健康、生态系统质量、气候变化和资源的影响分别为0,00000046 DALY、0,134 PDFxm2yr、0,336 kg CO2 eq和6,937 MJ。综合研究结果，认为屠宰业废水中氮磷含量较高，可作为灌溉水通过超滤膜后使用。
{"title":"Treatment of Slaughterhouse Industry Wastewater with Ultrafiltration Membrane and Evaluation with Life Cycle Analysis","authors":"A. Çetinkaya, L. Bilgili","doi":"10.35208/ert.1102829","DOIUrl":"https://doi.org/10.35208/ert.1102829","url":null,"abstract":"Slaughterhouse wastewater is one of the most produced industrial wastewater in the world. This wastewater can cause a high level of pollutant effect when the process is given to riverbeds or sewage systems without any treatment. Wastewater contains proteins, fats, carbohydrates in the treatment of blood, skin and feathers, which results in much higher biological oxygen demand (BOD) and chemical oxygen content (COD) In this study, the use of wastewaters with high organic, nitrogen (N) and phosphorus (P) as an agricultural product has been examined. In addition to these results, the Life Cycle Analysis (LCA) of the ultrafiltration system was also carried out. Accordingly, the effects of ultrafiltration system on human health, ecosystem quality, climate change and resources were calculated as 0,00000046 DALY, 0,134 PDFxm2yr, 0,336 kg CO2 eq and 6,937 MJ respectively. In the light of the results, it is thought that the wastewaters of the slaughterhouse industry can be used as irrigation water after passing through the ultrafiltration membrane because of the high amount of N and P.","PeriodicalId":126818,"journal":{"name":"Environmental Research and Technology","volume":"145 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114999073","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}
A. Baytorun, Z. Zaimoğlu, F. E. Erkurt, B. Balci, H. K. Yeşi̇ltaş
In this study, it is aimed to determine the irrigation water required due to solar radiation in high technology greenhouses where soilless cultivation is carried out according to TS825 standards, and to determine the annual water consumption and storage capacity with the harvested rainwater. As a result of the calculations made for Turkey Mediterranean region, it has been determined that if 90% of the rainfall in the western Mediterranean region is harvested, 72% of the annual water consumption can be met, and 45% in the eastern Mediterranean region. In the inner regions where the terrestrial climate is dominant, 22% - 32% of the annual water consumption can be met with 90% of the rain harvested depending on the amount of rainfall. The required storage volume in the western Mediterranean is 0.420 m3.m-2, while it is 0.096 m3.m-2 in the eastern Mediterranean and 0.044 m3.m-2 in Kırşehir, where the continental climate prevails.
{"title":"Calculation of rainwater harvest in greenhouses for semi-arid and continental climate zones","authors":"A. Baytorun, Z. Zaimoğlu, F. E. Erkurt, B. Balci, H. K. Yeşi̇ltaş","doi":"10.35208/ert.1106613","DOIUrl":"https://doi.org/10.35208/ert.1106613","url":null,"abstract":"In this study, it is aimed to determine the irrigation water required due to solar radiation in high technology greenhouses where soilless cultivation is carried out according to TS825 standards, and to determine the annual water consumption and storage capacity with the harvested rainwater. As a result of the calculations made for Turkey Mediterranean region, it has been determined that if 90% of the rainfall in the western Mediterranean region is harvested, 72% of the annual water consumption can be met, and 45% in the eastern Mediterranean region. In the inner regions where the terrestrial climate is dominant, 22% - 32% of the annual water consumption can be met with 90% of the rain harvested depending on the amount of rainfall. The required storage volume in the western Mediterranean is 0.420 m3.m-2, while it is 0.096 m3.m-2 in the eastern Mediterranean and 0.044 m3.m-2 in Kırşehir, where the continental climate prevails.","PeriodicalId":126818,"journal":{"name":"Environmental Research and Technology","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134607737","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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