Researchers in the marine ecosystem have documented the significant impacts that anthropogenic ocean acidification has on marine organisms. These include olfactory abilities in fish, impaired behavioral as well as physiological changes, including anti-predatory response leading to consequences in population dynamics and community structure. In this research, we endeavored to investigate and compare the growth rate of the gold mollies (Poecialia sphenops) larvae under a low pH of 5 water temperature of 28 O C, and a pH of 6.9 at a water temperature of 26 O conditions. The mollies larvae were weighed for four months (August, September, October, and November) and the data collected was analyzed using the Statistical Package for Social Sciences (IBM SPSS). The analysis was a multivariate test for a more complete examination of data by looking at independent variables and their relationship to one another. There was no statistically significant difference in the growth rate in August (p-value 0.969) and September (p-value 0.286) between the larvae in aquarium A (experimental) and those in aquarium D (control) at the beginning of the experiment. But there was a statistically significant difference in the third (3) month (October) P-value = 0.007 and in the fourth month (4) (November) P-value = 0.004. The low pH of 5 impacted the growth rate of the Poecilia sphenops larvae while those in the control aquarium pH of 6.9 seemed to have not been affected and grew well.
{"title":"The Impact of Long-Term (4 Months) Exposure to Low pH and Elevated Temperature on the Growth Rate of Gold Mollies’ (Poecilia Sphenops) Larvae","authors":"Rostern N. Tembo","doi":"10.5539/ep.v13n2p1","DOIUrl":"https://doi.org/10.5539/ep.v13n2p1","url":null,"abstract":"Researchers in the marine ecosystem have documented the significant impacts that anthropogenic ocean acidification has on marine organisms. These include olfactory abilities in fish, impaired behavioral as well as physiological changes, including anti-predatory response leading to consequences in population dynamics and community structure. In this research, we endeavored to investigate and compare the growth rate of the gold mollies (Poecialia sphenops) larvae under a low pH of 5 water temperature of 28 O C, and a pH of 6.9 at a water temperature of 26 O conditions. The mollies larvae were weighed for four months (August, September, October, and November) and the data collected was analyzed using the Statistical Package for Social Sciences (IBM SPSS). The analysis was a multivariate test for a more complete examination of data by looking at independent variables and their relationship to one another. There was no statistically significant difference in the growth rate in August (p-value 0.969) and September (p-value 0.286) between the larvae in aquarium A (experimental) and those in aquarium D (control) at the beginning of the experiment. But there was a statistically significant difference in the third (3) month (October) P-value = 0.007 and in the fourth month (4) (November) P-value = 0.004. The low pH of 5 impacted the growth rate of the Poecilia sphenops larvae while those in the control aquarium pH of 6.9 seemed to have not been affected and grew well.","PeriodicalId":11724,"journal":{"name":"Environment and Pollution","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141647453","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}
Reviewer acknowledgements for Environment and Pollution, Vol. 13, No. 1, 2024.
环境与污染》，第 13 卷第 1 期，2024 年，审稿人致谢。
{"title":"Reviewer acknowledgements for Environment and Pollution, Vol. 13, No. 1","authors":"Albert John","doi":"10.5539/ep.v13n1p52","DOIUrl":"https://doi.org/10.5539/ep.v13n1p52","url":null,"abstract":"Reviewer acknowledgements for Environment and Pollution, Vol. 13, No. 1, 2024.","PeriodicalId":11724,"journal":{"name":"Environment and Pollution","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140214249","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}
Ocean acidification represents a threat to marine species worldwide, and forecasting the ecological impacts of acidification is a high priority for science, management, and policy. As research on the topic expands at an exponential rate, a comprehensive understanding of the variability in organisms' responses and corresponding levels of certainty is necessary to forecast the ecological effects. More specifically, what stands to be understood from this review is an understanding of the effects of ocean acidification and whether marine organisms have sufficient physiological plasticity to adapt to the changes in their environment as pCO2 concentration continues to rise. An experiment assessing the impact of ocean acidification on a given species, community, or ecosystem should include realistic changes for all environmental drivers (CO2, temperature, salinity, food concentrations, light availability), and be long-term (i.e., several years) to allow for natural variability and multiple generations of each species under consideration. Single experimental approaches on single organisms often do not capture the true level of complexity of in situ marine environments, and multi-disciplinary approaches involving technological advancements and development are critically needed before a correct determination is made on the mortality of marine organisms.
{"title":"Will Climate Change and Ocean Acidification Lead to the Massive Death of Marine Organisms?","authors":"Rostern N. Tembo","doi":"10.5539/ep.v13n1p41","DOIUrl":"https://doi.org/10.5539/ep.v13n1p41","url":null,"abstract":"Ocean acidification represents a threat to marine species worldwide, and forecasting the ecological impacts of acidification is a high priority for science, management, and policy. As research on the topic expands at an exponential rate, a comprehensive understanding of the variability in organisms' responses and corresponding levels of certainty is necessary to forecast the ecological effects. More specifically, what stands to be understood from this review is an understanding of the effects of ocean acidification and whether marine organisms have sufficient physiological plasticity to adapt to the changes in their environment as pCO2 concentration continues to rise. An experiment assessing the impact of ocean acidification on a given species, community, or ecosystem should include realistic changes for all environmental drivers (CO2, temperature, salinity, food concentrations, light availability), and be long-term (i.e., several years) to allow for natural variability and multiple generations of each species under consideration. Single experimental approaches on single organisms often do not capture the true level of complexity of in situ marine environments, and multi-disciplinary approaches involving technological advancements and development are critically needed before a correct determination is made on the mortality of marine organisms.","PeriodicalId":11724,"journal":{"name":"Environment and Pollution","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139879621","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}
Ocean acidification represents a threat to marine species worldwide, and forecasting the ecological impacts of acidification is a high priority for science, management, and policy. As research on the topic expands at an exponential rate, a comprehensive understanding of the variability in organisms' responses and corresponding levels of certainty is necessary to forecast the ecological effects. More specifically, what stands to be understood from this review is an understanding of the effects of ocean acidification and whether marine organisms have sufficient physiological plasticity to adapt to the changes in their environment as pCO2 concentration continues to rise. An experiment assessing the impact of ocean acidification on a given species, community, or ecosystem should include realistic changes for all environmental drivers (CO2, temperature, salinity, food concentrations, light availability), and be long-term (i.e., several years) to allow for natural variability and multiple generations of each species under consideration. Single experimental approaches on single organisms often do not capture the true level of complexity of in situ marine environments, and multi-disciplinary approaches involving technological advancements and development are critically needed before a correct determination is made on the mortality of marine organisms.
{"title":"Will Climate Change and Ocean Acidification Lead to the Massive Death of Marine Organisms?","authors":"Rostern N. Tembo","doi":"10.5539/ep.v13n1p41","DOIUrl":"https://doi.org/10.5539/ep.v13n1p41","url":null,"abstract":"Ocean acidification represents a threat to marine species worldwide, and forecasting the ecological impacts of acidification is a high priority for science, management, and policy. As research on the topic expands at an exponential rate, a comprehensive understanding of the variability in organisms' responses and corresponding levels of certainty is necessary to forecast the ecological effects. More specifically, what stands to be understood from this review is an understanding of the effects of ocean acidification and whether marine organisms have sufficient physiological plasticity to adapt to the changes in their environment as pCO2 concentration continues to rise. An experiment assessing the impact of ocean acidification on a given species, community, or ecosystem should include realistic changes for all environmental drivers (CO2, temperature, salinity, food concentrations, light availability), and be long-term (i.e., several years) to allow for natural variability and multiple generations of each species under consideration. Single experimental approaches on single organisms often do not capture the true level of complexity of in situ marine environments, and multi-disciplinary approaches involving technological advancements and development are critically needed before a correct determination is made on the mortality of marine organisms.","PeriodicalId":11724,"journal":{"name":"Environment and Pollution","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139819693","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}
This study was carried out in the city of Lomé in Togo. The study looked at the contribution of illegal waste landfills to climate change. The focus was on the quantities of methane released by uncontrolled landfills. In order to achieve the objectives, set by this study, the quantity of methane was recorded at twenty (20) landfills in thirteen (13) localities using microsensors over a period of thirty-two (32) days. The measurements were taken at the landfills with the measuring device stationed in the middle of the landfill at a height of 25 cm above the waste. The data collected was processed and a probability diagram was drawn up, making it possible to assess whether or not a set of data follows a given distribution such as the normal or Weibull distribution. Similarly, the contribution of each of the landfills to climate change was determined. During the measurement period, it was found that the TOGBLEKOPE 2 (6.338 g/m3 ± 4.881) with a contribution of 133.09; AMOUTIEVE (5.565 g/m3 ± 2.889) with a contribution of 116.86; ADETIKOPE GUERINKA (5.56 g/m3 ± 2.123) with a contribution of 116.76; GBOSSIME (5.323 g/m3 ± 4.442) with a contribution of 111.78; HOUNBI (4.702 g/m3 ± 3.59) with a contribution of 98.742; ADETIKOPE KPETAVE (4.363 g/m3 ± 2.841) with a contribution of 91.62 and NYEKONAKPOE 2 (4.017 g/m3 ± 3.067) with a contribution of 84.357; release more methane into the atmosphere. This shows the contribution of landfill sites in the fight against climate change.
{"title":"Methane Emissions from Landfills Sites and Their Contribution to Global Climate Change in the Greater Lomé Area of Togo (West Africa)","authors":"Lawson Tevi Atator, Kamou Hodabalo, Akpavi Sêmihinva","doi":"10.5539/ep.v13n1p23","DOIUrl":"https://doi.org/10.5539/ep.v13n1p23","url":null,"abstract":"This study was carried out in the city of Lomé in Togo. The study looked at the contribution of illegal waste landfills to climate change. The focus was on the quantities of methane released by uncontrolled landfills. In order to achieve the objectives, set by this study, the quantity of methane was recorded at twenty (20) landfills in thirteen (13) localities using microsensors over a period of thirty-two (32) days. The measurements were taken at the landfills with the measuring device stationed in the middle of the landfill at a height of 25 cm above the waste. The data collected was processed and a probability diagram was drawn up, making it possible to assess whether or not a set of data follows a given distribution such as the normal or Weibull distribution. Similarly, the contribution of each of the landfills to climate change was determined. During the measurement period, it was found that the TOGBLEKOPE 2 (6.338 g/m3 ± 4.881) with a contribution of 133.09; AMOUTIEVE (5.565 g/m3 ± 2.889) with a contribution of 116.86; ADETIKOPE GUERINKA (5.56 g/m3 ± 2.123) with a contribution of 116.76; GBOSSIME (5.323 g/m3 ± 4.442) with a contribution of 111.78; HOUNBI (4.702 g/m3 ± 3.59) with a contribution of 98.742; ADETIKOPE KPETAVE (4.363 g/m3 ± 2.841) with a contribution of 91.62 and NYEKONAKPOE 2 (4.017 g/m3 ± 3.067) with a contribution of 84.357; release more methane into the atmosphere. This shows the contribution of landfill sites in the fight against climate change.","PeriodicalId":11724,"journal":{"name":"Environment and Pollution","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-01-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139533190","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}
There is an increasing urgency to address how the light pollution risk level can be accurately and comprehensively measured and evaluated. Based on current research and data, this paper proposes a model concerning light pollution risk levels applicable to various regions. Optimized intervention strategies are then provided to reduce the effect of light pollution. For one thing, this paper establishes an Illumination-Environment-Society Evaluation (IES) model to evaluate a region’s light pollution risk level. Primary indicators of the model involve three dimensions, each quantified by 2 to 5 secondary indicators, with sufficient data analysis conducted, including data rasterization of satellite remote sensing images, K-means clustering analysis, Principal Component Analysis (PCA), Entropy Weight Method (EWM), Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), Analytic Hierarchy Process (AHP), and other assistant algorithms. In this regard, the present study obtains and grades some regions’ light pollution risk levels. For another, this paper determines three possible intervention strategies for light pollution based on the IES model after interpreting the results. Non-linear programming methods are also employed to optimize these three strategies. The present study aims to exploit a new avenue for relevant environmental research, providing references for light pollution measurement and intervention.
{"title":"Evaluating Light Pollution: An IES Model for Intervention Strategies","authors":"Ruixi Su, Yi Chen, Zibin Huang","doi":"10.5539/ep.v13n1p1","DOIUrl":"https://doi.org/10.5539/ep.v13n1p1","url":null,"abstract":"There is an increasing urgency to address how the light pollution risk level can be accurately and comprehensively measured and evaluated. Based on current research and data, this paper proposes a model concerning light pollution risk levels applicable to various regions. Optimized intervention strategies are then provided to reduce the effect of light pollution. For one thing, this paper establishes an Illumination-Environment-Society Evaluation (IES) model to evaluate a region’s light pollution risk level. Primary indicators of the model involve three dimensions, each quantified by 2 to 5 secondary indicators, with sufficient data analysis conducted, including data rasterization of satellite remote sensing images, K-means clustering analysis, Principal Component Analysis (PCA), Entropy Weight Method (EWM), Technique for Order Preference by Similarity to Ideal Solution (TOPSIS), Analytic Hierarchy Process (AHP), and other assistant algorithms. In this regard, the present study obtains and grades some regions’ light pollution risk levels. For another, this paper determines three possible intervention strategies for light pollution based on the IES model after interpreting the results. Non-linear programming methods are also employed to optimize these three strategies. The present study aims to exploit a new avenue for relevant environmental research, providing references for light pollution measurement and intervention.","PeriodicalId":11724,"journal":{"name":"Environment and Pollution","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136295001","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}
Reviewer acknowledgements for Environment and Pollution, Vol. 12, No. 2, 2023.
《环境与污染》，Vol. 12, No. 2, 2023。
{"title":"Reviewer acknowledgements for Environment and Pollution, Vol. 12, No. 2","authors":"Albert John","doi":"10.5539/ep.v12n2p20","DOIUrl":"https://doi.org/10.5539/ep.v12n2p20","url":null,"abstract":"Reviewer acknowledgements for Environment and Pollution, Vol. 12, No. 2, 2023.","PeriodicalId":11724,"journal":{"name":"Environment and Pollution","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135387170","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}
This study investigated the impact of high-density septic systems (aka Onsite Sewerage and Disposal Systems, OSTDS) along the canals located in the communities of the lower Taylor Creek area on water quality at the northern periphery of Lake Okeechobee. Using sucralose as an anthropogenic tracer, we investigated the septic derived non-point sourcing of nutrients which feed harmful algal (cyanobacterial) blooms (HABs) in Lake Okeechobee and adjacent waters. The subdivisions investigated were Treasure Island (TI) and Taylor Creek Isles (TCI) located to the east and west of Taylor Creek. TI homes are all on septic tanks whereas TCI is serviced by a municipal vacuum sewerage system. TI canals had 5.3 times the mean concentration of sucralose relative to TCI canals. On a yearly basis, the Treasure Island sites away from Taylor Creek had 2.25 times the total phosphorus and 1.20 times the total nitrogen compared to the Taylor Creek isles sites. An extensive literature review of non-point pollution is included.
{"title":"Non-Point Sources (Septic Tanks) of Surface Water Nutrient Pollution: A Review and a Study of Taylor Creek, Okeechobee County, Florida","authors":"J. Louda, J. F. Hayford","doi":"10.5539/ep.v12n2p1","DOIUrl":"https://doi.org/10.5539/ep.v12n2p1","url":null,"abstract":"This study investigated the impact of high-density septic systems (aka Onsite Sewerage and Disposal Systems, OSTDS) along the canals located in the communities of the lower Taylor Creek area on water quality at the northern periphery of Lake Okeechobee. Using sucralose as an anthropogenic tracer, we investigated the septic derived non-point sourcing of nutrients which feed harmful algal (cyanobacterial) blooms (HABs) in Lake Okeechobee and adjacent waters. \u0000 \u0000The subdivisions investigated were Treasure Island (TI) and Taylor Creek Isles (TCI) located to the east and west of Taylor Creek. TI homes are all on septic tanks whereas TCI is serviced by a municipal vacuum sewerage system. \u0000 \u0000TI canals had 5.3 times the mean concentration of sucralose relative to TCI canals. On a yearly basis, the Treasure Island sites away from Taylor Creek had 2.25 times the total phosphorus and 1.20 times the total nitrogen compared to the Taylor Creek isles sites. An extensive literature review of non-point pollution is included.","PeriodicalId":11724,"journal":{"name":"Environment and Pollution","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-07-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86139221","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}
Reviewer acknowledgements for Environment and Pollution, Vol. 12, No. 1, 2023.
《环境与污染》，Vol. 12, No. 1, 2023。
{"title":"Reviewer acknowledgements for Environment and Pollution, Vol. 12, No. 1","authors":"Albert John","doi":"10.5539/ep.v12n1p53","DOIUrl":"https://doi.org/10.5539/ep.v12n1p53","url":null,"abstract":"Reviewer acknowledgements for Environment and Pollution, Vol. 12, No. 1, 2023.","PeriodicalId":11724,"journal":{"name":"Environment and Pollution","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134952633","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 air, water, and lands of the Arabian Gulf countries are exposed to contamination involving organic and inorganic components resulting from industrial energy sector activities. In Qatar, marine life and air are the primary elements of the ecosystem that pollution has negatively affected since the discovery and exportation of oil and gas. For example, the mean concentration of PM2.5 reached 105 µg/m3 in 2016. This poor air quality has been attributed to several factors: dust storms, vehicle emissions, and industrial emissions. Marine life around the peninsula of Qatar has been threatened by many factors, including discharge of desalinated seawater, oil and gas activities, and the impact of climate change. Studies conducted after multiple major events showed that levels of various types of pollutants were at acceptable levels. Some areas in the Arabian Gulf, such as the coasts of Saudi Arabia and Bahrain, are still considered chronically polluted and need continual monitoring in the long term. This review discusses the pollution status on the Qatari coastlines and the reasons behind the persistence of current levels of pollution in Arabian Gulf water. The role of microorganisms (bacteria, algae, and fungi) in a biological approach for environmental manipulation of pollution problems is discussed. The agricultural lands in Qatar are possible sites of pollution due to the potential expansion of the energy, industry, and construction sectors in the future. Currently, industrial wastewater is pumped deep into the ground, and seawater is intruding into the main-land, which is causing significant contamination of soils used for the cultivation of various crops. Possible measures are reported, and practical solutions to future pollution risks are discussed.
{"title":"Possible Future Risks of Pollution Consequent to the Expansion of Oil and Gas Operations in Qatar","authors":"R. Al-Thani, B. T. Yasseen","doi":"10.5539/ep.v12n1p12","DOIUrl":"https://doi.org/10.5539/ep.v12n1p12","url":null,"abstract":"The air, water, and lands of the Arabian Gulf countries are exposed to contamination involving organic and inorganic components resulting from industrial energy sector activities. In Qatar, marine life and air are the primary elements of the ecosystem that pollution has negatively affected since the discovery and exportation of oil and gas. For example, the mean concentration of PM2.5 reached 105 µg/m3 in 2016. This poor air quality has been attributed to several factors: dust storms, vehicle emissions, and industrial emissions. Marine life around the peninsula of Qatar has been threatened by many factors, including discharge of desalinated seawater, oil and gas activities, and the impact of climate change. Studies conducted after multiple major events showed that levels of various types of pollutants were at acceptable levels. Some areas in the Arabian Gulf, such as the coasts of Saudi Arabia and Bahrain, are still considered chronically polluted and need continual monitoring in the long term. This review discusses the pollution status on the Qatari coastlines and the reasons behind the persistence of current levels of pollution in Arabian Gulf water. The role of microorganisms (bacteria, algae, and fungi) in a biological approach for environmental manipulation of pollution problems is discussed. The agricultural lands in Qatar are possible sites of pollution due to the potential expansion of the energy, industry, and construction sectors in the future. Currently, industrial wastewater is pumped deep into the ground, and seawater is intruding into the main-land, which is causing significant contamination of soils used for the cultivation of various crops. Possible measures are reported, and practical solutions to future pollution risks are discussed.","PeriodicalId":11724,"journal":{"name":"Environment and Pollution","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-02-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73926439","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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