Porush Kumar, Kuldeep Kamboj, Shalu Vyas, A. Mathur
The rainfall variability for the Udaipur district for thirty years (1991–2020) was statistically analysed in this study. The linear regression (parametric) and Mann–Kendall (non-parametric) trend test along with precipitation indices performed using rainfall data collected from 9 rain gauge stations situated in different parts of the Udaipur district, Rajasthan, India. An increasing trend was found between the months March to November in the Udaipur district, indicating that total annual rainfall has increased in these months during the study period. About 85.20% of the total annual rainfall is occurred due to the southwest monsoon during the rainy season. The PCI (21.74 to 57.92) and CV (11.04 to 21.23) values show the high-nonuniformity and less rainfall variability, respectively. The SRA values for each year have been greater than -0.84 (no drought category) during the study period. The rainfall deficiency took place only four out of 30 years of the study period, 1995, 1999, 2000, and 2002, which fall under the category of large deficiency. The values of the wetness index indicate that during the study period,2006 was the wettest year due to the maximum rainfall (Wi = 179.07) while 2000 was the driest year due to the minimum rainfall (Wi = 54.26). Total annual rainfall has increased in the last three decades, which shows the need for implementation of all necessary plans by the government for proper rainwater utilization and management to prevent future natural disasters like floods.
{"title":"Statistical Analysis of Thirty-Year Rainfall Variability in Udaipur District, Rajasthan, India","authors":"Porush Kumar, Kuldeep Kamboj, Shalu Vyas, A. Mathur","doi":"10.12944/cwe.18.3.14","DOIUrl":"https://doi.org/10.12944/cwe.18.3.14","url":null,"abstract":"The rainfall variability for the Udaipur district for thirty years (1991–2020) was statistically analysed in this study. The linear regression (parametric) and Mann–Kendall (non-parametric) trend test along with precipitation indices performed using rainfall data collected from 9 rain gauge stations situated in different parts of the Udaipur district, Rajasthan, India. An increasing trend was found between the months March to November in the Udaipur district, indicating that total annual rainfall has increased in these months during the study period. About 85.20% of the total annual rainfall is occurred due to the southwest monsoon during the rainy season. The PCI (21.74 to 57.92) and CV (11.04 to 21.23) values show the high-nonuniformity and less rainfall variability, respectively. The SRA values for each year have been greater than -0.84 (no drought category) during the study period. The rainfall deficiency took place only four out of 30 years of the study period, 1995, 1999, 2000, and 2002, which fall under the category of large deficiency. The values of the wetness index indicate that during the study period,2006 was the wettest year due to the maximum rainfall (Wi = 179.07) while 2000 was the driest year due to the minimum rainfall (Wi = 54.26). Total annual rainfall has increased in the last three decades, which shows the need for implementation of all necessary plans by the government for proper rainwater utilization and management to prevent future natural disasters like floods.","PeriodicalId":10878,"journal":{"name":"Current World Environment","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139627759","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}
Rainfall forecasting in urban areas is a significant consideration for city planners due to its connection with urban water management. In this study, the ARIMA (auto-regressive integrated moving average) model, as well as several regression approaches such as simple linear and second to sixth-degree polynomial regression equations, have been used to forecast the annual rainfall based on 120 years of monthly and annual rainfall from 1901 to 2020 in Kolkata Municipal Corporation (KMC), West Bengal. This study compares the performance of ARIMA and other regression techniques in forecasting rainfall using the metrics of R-squared and root mean square error (RMSE). The ARIMA model has been implemented using machine learning techniques in the Python programming language, while additional regression equations have been computed and analyzed using Microsoft Excel 2019. In order to employ the ARIMA model, all assumptions were assessed, and the optimal model order was established using the import auto-Arima package from the pmdarima.arima library. The stepwise model.aic function yielded 0,1,1 as the most suitable order for the model. The findings indicate that, out of all the regression methods employed for rainfall prediction, the fifth-degree polynomial equation exhibits the lowest root mean square error (RMSE), establishing it as the most effective model for rainfall forecasting in this study.
{"title":"A Comparative Analysis of ARIMA and other Statistical Techniques in Rainfall Forecasting: A Case Study in Kolkata (KMC), West Bengal","authors":"Md Juber Alam, Arijit Majumder","doi":"10.12944/cwe.18.3.37","DOIUrl":"https://doi.org/10.12944/cwe.18.3.37","url":null,"abstract":"Rainfall forecasting in urban areas is a significant consideration for city planners due to its connection with urban water management. In this study, the ARIMA (auto-regressive integrated moving average) model, as well as several regression approaches such as simple linear and second to sixth-degree polynomial regression equations, have been used to forecast the annual rainfall based on 120 years of monthly and annual rainfall from 1901 to 2020 in Kolkata Municipal Corporation (KMC), West Bengal. This study compares the performance of ARIMA and other regression techniques in forecasting rainfall using the metrics of R-squared and root mean square error (RMSE). The ARIMA model has been implemented using machine learning techniques in the Python programming language, while additional regression equations have been computed and analyzed using Microsoft Excel 2019. In order to employ the ARIMA model, all assumptions were assessed, and the optimal model order was established using the import auto-Arima package from the pmdarima.arima library. The stepwise model.aic function yielded 0,1,1 as the most suitable order for the model. The findings indicate that, out of all the regression methods employed for rainfall prediction, the fifth-degree polynomial equation exhibits the lowest root mean square error (RMSE), establishing it as the most effective model for rainfall forecasting in this study.","PeriodicalId":10878,"journal":{"name":"Current World Environment","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139627867","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}
Dhritiman Chanda, G. D. S. ,. M. Ibnat, T. M. Jamir
Beneficial PGPR have been identified in a range of plant species, including those with medicinal properties. These PGPR have been shown to enhance the growth and development of medicinal plants through the improvement of nutrient availability in rhizospheric root systems. Some medicinal plants have been found to harbour specific strains of PGPR that are associated with increased medicinal properties and enhanced bioactive compound production. So, the use of PGPR can minimise the application of chemical fertilizer for the production of rare species of medicinal plants. This review highlights the future research works which are needed in many areas of Meghalaya by the use of various beneficial strains of PGPR to reduce the use of pesticide for commercial application in the cultivation of medicinal plants. The PGPR has the ability to increase the soil fertility be decreasing the concentration of inorganic fertilizer and thereby they are regarded as the potential strains to be used as biofertilizer which in turn will also improve the cultural practices of Meghalaya to conserve a large number of rare and endangered medicinal plants.
{"title":"The Potential Use of Plant Growth Promoting Rhizobacteria (PGPR) for Medicinal Plant Cultivation in Meghalaya: A Review","authors":"Dhritiman Chanda, G. D. S. ,. M. Ibnat, T. M. Jamir","doi":"10.12944/cwe.18.3.04","DOIUrl":"https://doi.org/10.12944/cwe.18.3.04","url":null,"abstract":"Beneficial PGPR have been identified in a range of plant species, including those with medicinal properties. These PGPR have been shown to enhance the growth and development of medicinal plants through the improvement of nutrient availability in rhizospheric root systems. Some medicinal plants have been found to harbour specific strains of PGPR that are associated with increased medicinal properties and enhanced bioactive compound production. So, the use of PGPR can minimise the application of chemical fertilizer for the production of rare species of medicinal plants. This review highlights the future research works which are needed in many areas of Meghalaya by the use of various beneficial strains of PGPR to reduce the use of pesticide for commercial application in the cultivation of medicinal plants. The PGPR has the ability to increase the soil fertility be decreasing the concentration of inorganic fertilizer and thereby they are regarded as the potential strains to be used as biofertilizer which in turn will also improve the cultural practices of Meghalaya to conserve a large number of rare and endangered medicinal plants.","PeriodicalId":10878,"journal":{"name":"Current World Environment","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139534601","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}
Ethanol along with nanoparticles stands out as a promising alternative in the pursuit of environmentally sustainable fuel options, offering a potential solution to the dual challenge of curbing NOx and PM/soot emissions while optimizing engine performance in compliance with stringent pollution regulations for compression ignition (CI) engines. The research study aims to optimize ethanol fuel induction techniques for CI engines. It utilizes a hybrid decision-making approach that integrates the analytic hierarchy process- AHP- for problem structuring and the derivation of preference weights. Subsequently, the preference ranking organization method for enrichment evaluations-PROMETHEE II is applied to assess and rank the existing alternatives. The study entails a methodical assessment of diverse ethanol induction methods across varying engine load ranges, considering multiple criteria including engine performance, emissions, combustion behavior, and exhaust after-treatment efficiency. Hybrid AHP-PROMETHEE II model provides criteria weights and ranks ethanol induction techniques and fuel blends across low, medium, and high engine loads for decision-making. It ensures that the method chosen aligns with goals, such as reducing NOx and soot emissions, optimizing engine performance, enhancing combustion, and minimizing exhaust after-treatment costs for CI engines. According to the research findings, the hybrid AHP-PROMETHEE II model identifies the CI engine operating at medium load with ethanol blending (DE10) and without the use of nanoparticles as the preferred choice. Additionally, AHP-PROMETHEE II (AHP derived criteria weights) and PROMETHEE II (direct rating derived criteria weights) models, suggested DE10 with nanoparticle (DE10_NP) using blending technique at low load and combined blending-fumigation technique with nanoparticles at high load. However, at medium load, PROMETHEE II recommends DE10_NP, while AHP-PROMETHEE II recommends DE10 blending technique. To assess the performance and reliability of this model, the consistency ratio and Spearman's rank correlation coefficient indices were computed, yielding values of 0.05 and 0.59, respectively. Both indices fall below the predetermined threshold limits, indicating a high level of consistency of the model.
乙醇和纳米颗粒是追求环境可持续燃料选择的一种有前途的替代品，可为遏制氮氧化物和可吸入颗粒物/烟尘排放的双重挑战提供潜在的解决方案，同时优化发动机性能，以符合压燃式（CI）发动机的严格污染法规。这项研究旨在优化用于 CI 发动机的乙醇燃料诱导技术。它采用了一种混合决策方法，将层次分析法（AHP）用于问题结构化和偏好权重的推导。随后，应用用于丰富评价的偏好排序组织方法--PROMETHEE II，对现有替代方案进行评估和排序。这项研究需要对不同发动机负荷范围内的各种乙醇诱导方法进行有条不紊的评估，并考虑到发动机性能、排放、燃烧行为和尾气后处理效率等多个标准。混合 AHP-PROMETHEE II 模型提供了标准权重，并对低、中、高发动机负荷下的乙醇诱导技术和混合燃料进行了排序，以供决策。该模型可确保所选方法与目标相一致，如减少氮氧化物和烟尘排放、优化发动机性能、增强燃烧以及最大限度地降低 CI 发动机的尾气后处理成本。根据研究结果，AHP-PROMETHEE II 混合模型确定了在中等负荷下工作、掺入乙醇（DE10）且不使用纳米颗粒的 CI 发动机为首选。此外，AHP-PROMETHEE II 模型（AHP 导出标准权重）和 PROMETHEE II 模型（直接评级导出标准权重）建议，在低负荷时使用混合技术的 DE10 与纳米颗粒（DE10_NP），在高负荷时使用混合-熏蒸技术与纳米颗粒相结合。然而，在中等负荷时，PROMETHEE II 建议使用 DE10_NP，而 AHP-PROMETHEE II 建议使用 DE10 混合技术。为评估该模型的性能和可靠性，计算了一致性比率和斯皮尔曼等级相关系数指数，结果分别为 0.05 和 0.59。这两个指数都低于预定的临界值，表明该模型具有较高的一致性。
{"title":"Optimizing CI Engine Ethanol Fuel Induction Techniques Using the AHP-PROMETHEE II Hybrid Decision Model","authors":"Mazar A Shaikh, Vimal R Patel","doi":"10.12944/cwe.18.3.12","DOIUrl":"https://doi.org/10.12944/cwe.18.3.12","url":null,"abstract":"Ethanol along with nanoparticles stands out as a promising alternative in the pursuit of environmentally sustainable fuel options, offering a potential solution to the dual challenge of curbing NOx and PM/soot emissions while optimizing engine performance in compliance with stringent pollution regulations for compression ignition (CI) engines. The research study aims to optimize ethanol fuel induction techniques for CI engines. It utilizes a hybrid decision-making approach that integrates the analytic hierarchy process- AHP- for problem structuring and the derivation of preference weights. Subsequently, the preference ranking organization method for enrichment evaluations-PROMETHEE II is applied to assess and rank the existing alternatives. The study entails a methodical assessment of diverse ethanol induction methods across varying engine load ranges, considering multiple criteria including engine performance, emissions, combustion behavior, and exhaust after-treatment efficiency. Hybrid AHP-PROMETHEE II model provides criteria weights and ranks ethanol induction techniques and fuel blends across low, medium, and high engine loads for decision-making. It ensures that the method chosen aligns with goals, such as reducing NOx and soot emissions, optimizing engine performance, enhancing combustion, and minimizing exhaust after-treatment costs for CI engines. According to the research findings, the hybrid AHP-PROMETHEE II model identifies the CI engine operating at medium load with ethanol blending (DE10) and without the use of nanoparticles as the preferred choice. Additionally, AHP-PROMETHEE II (AHP derived criteria weights) and PROMETHEE II (direct rating derived criteria weights) models, suggested DE10 with nanoparticle (DE10_NP) using blending technique at low load and combined blending-fumigation technique with nanoparticles at high load. However, at medium load, PROMETHEE II recommends DE10_NP, while AHP-PROMETHEE II recommends DE10 blending technique. To assess the performance and reliability of this model, the consistency ratio and Spearman's rank correlation coefficient indices were computed, yielding values of 0.05 and 0.59, respectively. Both indices fall below the predetermined threshold limits, indicating a high level of consistency of the model.","PeriodicalId":10878,"journal":{"name":"Current World Environment","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139534767","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}
Ecosystems that are currently struggling are likely faring and pathetic conditions because of climate change. The most pressing problems facing people in the world's developing parts of the world are water scarcity, dwindling biodiversity, and stagnant agricultural output. According to the majority of scientists, global warming can be stopped before it becomes irreversible if temperatures are kept within a range of 1.5 to 2 degrees Celsius. Greenhouse gases, sometimes known as GHGs, are the burning causes of climate change impacts. Accelerated emissions of GHGs could be dependent on the rate of social, economic, and technological development. Forest systems have a crucial impact in mitigating global warming. Clearing forests, setting them on fire, or otherwise destroying those releases massive amounts of other greenhouse gases (GHGs), even if the forests are the planet's greatest terrestrial carbon sink. Forests' source-sink dynamics and the total quantity of carbon they store are profoundly impacted by regional differences in human land use, anthropogenic climate change, and disturbance. Constantly expanding conservation, restoration, reforestation, and afforestation operations will be necessary to keep global warming under control and stop it from exceeding the crucial threshold. Forests are currently being employed as a potential tool for combating climate change, which has been demonstrated to be an effective and long-term strategy. However, the impact of climate change on forests is largely negative. The negative effects of climate change on forests are becoming more pronounced, as evidenced by an increase in the forest fire events and results in a shift in species distribution at higher altitudes, an increase in dieback, an increase in the number of insect and pathogen infestations, drought and flood conditions, and a decrease in the ecosystem services provided by forests. The IPCC has predicted that changes to ecosystems, arctic ice melting, rising sea levels, decreased grain yields, declining fisheries, and the loss of coral reefs will all have significant consequences. Therefore, protecting ecosystem services and biodiversity is crucial to ensuring humanity's survival.
{"title":"Climate Change Mitigation Potential of Forestry Sector for Sustainability of Agro-Ecosystem: A Review","authors":"M. K. Tripathi, Hemant Kumar, P. K. Tyagi","doi":"10.12944/cwe.18.3.02","DOIUrl":"https://doi.org/10.12944/cwe.18.3.02","url":null,"abstract":"Ecosystems that are currently struggling are likely faring and pathetic conditions because of climate change. The most pressing problems facing people in the world's developing parts of the world are water scarcity, dwindling biodiversity, and stagnant agricultural output. According to the majority of scientists, global warming can be stopped before it becomes irreversible if temperatures are kept within a range of 1.5 to 2 degrees Celsius. Greenhouse gases, sometimes known as GHGs, are the burning causes of climate change impacts. Accelerated emissions of GHGs could be dependent on the rate of social, economic, and technological development. Forest systems have a crucial impact in mitigating global warming. Clearing forests, setting them on fire, or otherwise destroying those releases massive amounts of other greenhouse gases (GHGs), even if the forests are the planet's greatest terrestrial carbon sink. Forests' source-sink dynamics and the total quantity of carbon they store are profoundly impacted by regional differences in human land use, anthropogenic climate change, and disturbance. Constantly expanding conservation, restoration, reforestation, and afforestation operations will be necessary to keep global warming under control and stop it from exceeding the crucial threshold. Forests are currently being employed as a potential tool for combating climate change, which has been demonstrated to be an effective and long-term strategy. However, the impact of climate change on forests is largely negative. The negative effects of climate change on forests are becoming more pronounced, as evidenced by an increase in the forest fire events and results in a shift in species distribution at higher altitudes, an increase in dieback, an increase in the number of insect and pathogen infestations, drought and flood conditions, and a decrease in the ecosystem services provided by forests. The IPCC has predicted that changes to ecosystems, arctic ice melting, rising sea levels, decreased grain yields, declining fisheries, and the loss of coral reefs will all have significant consequences. Therefore, protecting ecosystem services and biodiversity is crucial to ensuring humanity's survival.","PeriodicalId":10878,"journal":{"name":"Current World Environment","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139534877","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}
H. S. Vardhan Dora1, Y.V. Singh, P. K. Bharteey, A. Latare, Surajyoti Pradhan, Sumit Rai, H. Bhagyasri
Soil represents a critical element of plant existence, ranking prominently among the five essential elements. When soil quality declines, it adversely impacts crop productivity. In the present research, the emphasis was placed on conducting a physicochemical analysis of soils in various villages within the Pendhurti block of Visakhapatnam district. In this research, 30 samples of soil were gathered haphazardly from 0 to 15 cm depth across 15 distinct villages.The soil samples gathered underwent analysis in a laboratory to assess their physicochemical parameters. The results revealed that the soil pH exhibited a neutral to slightly alkaline reaction i.e. 6.9 to 8.2 and EC 0.076 to 0.381. The organic-C content was found to be low i.e. (0.12 to 0.59). The Particle density and bulk density were observed to be 2.05 to 2.8 Mg m-3 and 1.33 to 1.57 Mg m-3. The available N in soil was found lowi.e.75.26 to 137.98 kg ha-1, medium to low for K (78.4 to 389.40), and high for P i.e. (22.38 to 151.98 kg ha-1). The available Ca and Mg were recorded to be adequate and S was low to medium (0.21 to 19.6 mg kg-1) and nutrient index values for N, S, Organic-C found to be low, medium for K and high for P. The available micronutrients were reported sufficient (Cu, Zn) to high (Fe, Mn).This analysis emphasizes the need for a greater emphasis on improving soil quality using enhanced practices such as integrated nutrient management and crop rotations, rather than depending solely on monoculture farming.
{"title":"Changes in Physicochemical Parameters of Soil Along the Villages in Pendhurti Block of Visakhapatnam District, Andhra Pradesh","authors":"H. S. Vardhan Dora1, Y.V. Singh, P. K. Bharteey, A. Latare, Surajyoti Pradhan, Sumit Rai, H. Bhagyasri","doi":"10.12944/cwe.18.3.23","DOIUrl":"https://doi.org/10.12944/cwe.18.3.23","url":null,"abstract":"Soil represents a critical element of plant existence, ranking prominently among the five essential elements. When soil quality declines, it adversely impacts crop productivity. In the present research, the emphasis was placed on conducting a physicochemical analysis of soils in various villages within the Pendhurti block of Visakhapatnam district. In this research, 30 samples of soil were gathered haphazardly from 0 to 15 cm depth across 15 distinct villages.The soil samples gathered underwent analysis in a laboratory to assess their physicochemical parameters. The results revealed that the soil pH exhibited a neutral to slightly alkaline reaction i.e. 6.9 to 8.2 and EC 0.076 to 0.381. The organic-C content was found to be low i.e. (0.12 to 0.59). The Particle density and bulk density were observed to be 2.05 to 2.8 Mg m-3 and 1.33 to 1.57 Mg m-3. The available N in soil was found lowi.e.75.26 to 137.98 kg ha-1, medium to low for K (78.4 to 389.40), and high for P i.e. (22.38 to 151.98 kg ha-1). The available Ca and Mg were recorded to be adequate and S was low to medium (0.21 to 19.6 mg kg-1) and nutrient index values for N, S, Organic-C found to be low, medium for K and high for P. The available micronutrients were reported sufficient (Cu, Zn) to high (Fe, Mn).This analysis emphasizes the need for a greater emphasis on improving soil quality using enhanced practices such as integrated nutrient management and crop rotations, rather than depending solely on monoculture farming.","PeriodicalId":10878,"journal":{"name":"Current World Environment","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139628014","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 origin of the Achenkovil River, the Devarmalai of Western Ghats, is within the Konni reserve forest of Pathanamthitta district, flowing through Pathanamthitta, Kollam, and merging with the Pamba river in the Alappuzha district. This study included the spatial variation of aquatic insect fauna with respect to water quality. The bottom water samples and insect fauna were collected bimonthly using a Niskin sampler and D-frame nets for a period of one year (February 2019 to January 2020). The study yielded 10736 insect fauna under 8 orders, 21 families, 35 genera, and 36 species. How the quality of the water affects biodiversity of aquatic insects was examined using multivariate statistical techniques (PCA and CCA) and Pearson's correlation coefficient. The findings showed that the upstream portion of the river has a remarkable diversity and quantity of aquatic insect species. The major insect group in the collected sample was ephemeroptera. There were no pollution-sensitive taxa in the middle stream or downstream portions of the river, which suggests that the water quality was declining. The middle stream and downstream sections of the river did not contain any pollution-sensitive taxa, indicating deteriorating water quality. Human-caused factors like washing, cleaning cars, and washing cattle and disposal of garbage are common in these regions. Because most aquatic insects are sensitive to environmental fluctuations, they can be used as an efficient tool in biomonitoring studies.
{"title":"Aquatic Insects as Bioindicators of Water Quality in the Achenkovil River, Kerala, India.","authors":"Sujitha S, S. R, Beena S Kurup","doi":"10.12944/cwe.18.3.22","DOIUrl":"https://doi.org/10.12944/cwe.18.3.22","url":null,"abstract":"The origin of the Achenkovil River, the Devarmalai of Western Ghats, is within the Konni reserve forest of Pathanamthitta district, flowing through Pathanamthitta, Kollam, and merging with the Pamba river in the Alappuzha district. This study included the spatial variation of aquatic insect fauna with respect to water quality. The bottom water samples and insect fauna were collected bimonthly using a Niskin sampler and D-frame nets for a period of one year (February 2019 to January 2020). The study yielded 10736 insect fauna under 8 orders, 21 families, 35 genera, and 36 species. How the quality of the water affects biodiversity of aquatic insects was examined using multivariate statistical techniques (PCA and CCA) and Pearson's correlation coefficient. The findings showed that the upstream portion of the river has a remarkable diversity and quantity of aquatic insect species. The major insect group in the collected sample was ephemeroptera. There were no pollution-sensitive taxa in the middle stream or downstream portions of the river, which suggests that the water quality was declining. The middle stream and downstream sections of the river did not contain any pollution-sensitive taxa, indicating deteriorating water quality. Human-caused factors like washing, cleaning cars, and washing cattle and disposal of garbage are common in these regions. Because most aquatic insects are sensitive to environmental fluctuations, they can be used as an efficient tool in biomonitoring studies.","PeriodicalId":10878,"journal":{"name":"Current World Environment","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139627278","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}
Community cooking is becoming costlier as the cost of cooking fuel is rising globally and impacting the environment by emitting greenhouse gasses which are responsible for global warming. India’s main cooking fuel is LPG which is being imported and is a depleting natural resource. The use of fossil fuels results in the emission of GHGs. This necessitates the harness of solar energy for community cooking. The campus receives daily horizontal solar radiation of 3.66-7.53 kWh/m2 which can be harnessed for cooking food. A solar steam cooking system consisting of 22 solar dishes has been installed at the university campus for 1500 students. This will generate heat of around 2.54 million Kcal/day and save LPG amounting to 33,600 kg/year while reducing the CO2 of 99,456 kg annually thereby mitigating climate change. Solar steam cooking will meet SDGs 7 and 13. The payback period for the solar steam cooking system will be 3 years. The cooking system meets Sustainable Development Goals7 & 13
{"title":"Installation and Performance Evaluation of a Solar Steam Cooking System for 1500 Students in the Hills– A Case Study","authors":"R. Aggarwal","doi":"10.12944/cwe.18.3.33","DOIUrl":"https://doi.org/10.12944/cwe.18.3.33","url":null,"abstract":"Community cooking is becoming costlier as the cost of cooking fuel is rising globally and impacting the environment by emitting greenhouse gasses which are responsible for global warming. India’s main cooking fuel is LPG which is being imported and is a depleting natural resource. The use of fossil fuels results in the emission of GHGs. This necessitates the harness of solar energy for community cooking. The campus receives daily horizontal solar radiation of 3.66-7.53 kWh/m2 which can be harnessed for cooking food. A solar steam cooking system consisting of 22 solar dishes has been installed at the university campus for 1500 students. This will generate heat of around 2.54 million Kcal/day and save LPG amounting to 33,600 kg/year while reducing the CO2 of 99,456 kg annually thereby mitigating climate change. Solar steam cooking will meet SDGs 7 and 13. The payback period for the solar steam cooking system will be 3 years. The cooking system meets Sustainable Development Goals7 & 13","PeriodicalId":10878,"journal":{"name":"Current World Environment","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139627890","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 river Kulik is an internationally important river between India and Bangladesh. Till date, no work has been done to understand the physico-chemical characteristics as well as the pollution status of the river Kulik at the Raiganj and Hemtabad blocks in the Uttar Dinajpur district, West Bengal, India. The goal of this investigation was to analyse different physico-chemical parameters to understand the present level of pollution in the river Kulik for two years, from November 2019 until October 2021. The investigation was carried out on a monthly basis at five selected sampling sites along the river Kulik. Different physico-chemical parameters were analysed following the methods of APHA, 2017. The pH varied from 5.90 to 7.86, which indicates the slightly acidic to slightly alkaline nature of the water. The lowest dissolved oxygen (DO) value recorded at site 5 (1.60 mgL-1) during the winter season of the first year may have been caused by excessive fertilizer application in agricultural fields close to the river Kulik. The abrupt rise in DO levels from March 2020 to June 2020 at every site might be due to the lesser anthropogenic activities during the lockdown in India because of the COVID-19 Pandemic situation. The highest BOD was found in April 2020 at Site 5, which crossed the limits of the CPCB standard set for drinking and bathing. Public awareness is crucial for river pollution control and revival; further study is needed to understand water quality and productivity.
{"title":"Physico-Chemical Characteristics of the River Kulik of the Uttar Dinajpur District of West Bengal, India","authors":"Jayanta Majumder, Debashri Mondal","doi":"10.12944/cwe.18.3.29","DOIUrl":"https://doi.org/10.12944/cwe.18.3.29","url":null,"abstract":"The river Kulik is an internationally important river between India and Bangladesh. Till date, no work has been done to understand the physico-chemical characteristics as well as the pollution status of the river Kulik at the Raiganj and Hemtabad blocks in the Uttar Dinajpur district, West Bengal, India. The goal of this investigation was to analyse different physico-chemical parameters to understand the present level of pollution in the river Kulik for two years, from November 2019 until October 2021. The investigation was carried out on a monthly basis at five selected sampling sites along the river Kulik. Different physico-chemical parameters were analysed following the methods of APHA, 2017. The pH varied from 5.90 to 7.86, which indicates the slightly acidic to slightly alkaline nature of the water. The lowest dissolved oxygen (DO) value recorded at site 5 (1.60 mgL-1) during the winter season of the first year may have been caused by excessive fertilizer application in agricultural fields close to the river Kulik. The abrupt rise in DO levels from March 2020 to June 2020 at every site might be due to the lesser anthropogenic activities during the lockdown in India because of the COVID-19 Pandemic situation. The highest BOD was found in April 2020 at Site 5, which crossed the limits of the CPCB standard set for drinking and bathing. Public awareness is crucial for river pollution control and revival; further study is needed to understand water quality and productivity.","PeriodicalId":10878,"journal":{"name":"Current World Environment","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139627963","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 disposal of domestic and industrial wastewater into the drainage/atmosphere without treatment is a major source of pollution that endangers the health of the population and needs to be controlled. Despite long been used as a secondary treatment strategy for wastewater, conventional rotating biological contactor (RBC) suffers from the drawbacks of limited surface area for the growth of biofilms. There are persistent problems of less oxygenation capacity, and inefficient mixing resulting in inadequate mass transfer. To address these issues conventional RBC has been modified in the present study by replacing a bank of discs using a rotating drum. The use of a rotating drum in RBC enhanced the biofilm attachment surface area up to 2.29 m2 (?108.2% higher than conventional RBC), thereby improving the working performance. To prevent the dissolved oxygen as a limiting factor, four small aerators were placed as supplement aeration system in the wastewater collection tank of modified RBC. To prevent the influence of atmospheric temperature on biological process, a blast-proof aquarium glass heater was placed in the tank. For experimental work, a 700 ppm pretreated synthetic solution of Auramine-O dye as wastewater was utilized. A constant level of percentage variation in biological oxygen demand (BOD) removal efficiency was observed after 15 days of the experiment. After day-15, the MLSS concentration increased to 2960 mg/L, and the BOD concentration reduced to 12.85 mg/L, resulting in a reduction of 89.86% in BOD, indicating the meeting of effluent discharge standards.
{"title":"Modification and Performance of a Rotating Biological Contactor for the Rectification of Synthetic Auramine O dye Wastewater","authors":"Khyati Kishorchandra Modi, K. K. Nath","doi":"10.12944/cwe.18.3.15","DOIUrl":"https://doi.org/10.12944/cwe.18.3.15","url":null,"abstract":"The disposal of domestic and industrial wastewater into the drainage/atmosphere without treatment is a major source of pollution that endangers the health of the population and needs to be controlled. Despite long been used as a secondary treatment strategy for wastewater, conventional rotating biological contactor (RBC) suffers from the drawbacks of limited surface area for the growth of biofilms. There are persistent problems of less oxygenation capacity, and inefficient mixing resulting in inadequate mass transfer. To address these issues conventional RBC has been modified in the present study by replacing a bank of discs using a rotating drum. The use of a rotating drum in RBC enhanced the biofilm attachment surface area up to 2.29 m2 (?108.2% higher than conventional RBC), thereby improving the working performance. To prevent the dissolved oxygen as a limiting factor, four small aerators were placed as supplement aeration system in the wastewater collection tank of modified RBC. To prevent the influence of atmospheric temperature on biological process, a blast-proof aquarium glass heater was placed in the tank. For experimental work, a 700 ppm pretreated synthetic solution of Auramine-O dye as wastewater was utilized. A constant level of percentage variation in biological oxygen demand (BOD) removal efficiency was observed after 15 days of the experiment. After day-15, the MLSS concentration increased to 2960 mg/L, and the BOD concentration reduced to 12.85 mg/L, resulting in a reduction of 89.86% in BOD, indicating the meeting of effluent discharge standards.","PeriodicalId":10878,"journal":{"name":"Current World Environment","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2024-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139628057","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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