Ecological Engineering Environmental Technology最新文献

{"title":"Bioaccumulation and Biomagnification from Soil to Nettle-Snail and Extension Heavy Metal Pollution of Mining Activity “Ferronikel” in Drenas","authors":"Mentor Bici, Jeton Halili, Kemajl Bislimi, Muhamet Zogaj, Ilir Mazreku","doi":"10.12912/27197050/174259","DOIUrl":"https://doi.org/10.12912/27197050/174259","url":null,"abstract":"In this research project, we measured the impact of the activity of “Ferronikel” factory on the concentrations of heavy metals (Pb, Zn, Ni) in soil, plant ( Urtica dioica L.) and shell of snail ( Helix pomatia L.) in the locality of Drenas. Large quantities of these metals come from natural and anthropogenic sources including mining activ - ity, agriculture, pesticide use, industrialization, and inadequate disposal of mineral waste and artificial fertilizers. These inorganic pollutants are deposited in the soil, water, and atmosphere in various forms of complexes and are thus transmitted from plants, animals to humans. Climatic factors such as winds, rains, and temperatures are believed to be major contributors to the spread over time and space of heavy metals in the environment. Soil samples, nettle plant and snail, were collected from the selected pollution source of factory “Ferronikel” at distances of 1 km, 2 km, and 5 km in the radius circles divided into four geographical areas. The samples were digested in microwave at 200 °C for 45 min and have been read in two types of absorbers Thermo and Contra AAA. Higher concentrations of Pb, Zn, and Ni were recorded in the southern parts of the country compared to that control with significant differences (p<0.01). Bioaccumulation and biomagnification levels of these heavy metals have also been recorded in the roots, stalks, and leaves of the stinging nettle plant as well as in snail shells. The results show that the stinging nettle plant has translocated larger amounts of these heavy metals especially Pb along with the vegetative organs wherefrom these they are carried in the snail shell, which is fed on the stinging nettle plant. Also, results shown that the nettle plant Urtica dioica can be used in phytoremediation process whereas snail Helix pomatia can be used like bioindicator of heavy metal pollution.","PeriodicalId":52648,"journal":{"name":"Ecological Engineering Environmental Technology","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135944719","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}

{"title":"Integrated Geomatics and Remote Sensing Analysis of Forest Fire Propagation and Land Cover Change in Berkane, Morocco","authors":"Badr Ben Hichou, Nadia Mhammdi, Mohamed Dakki","doi":"10.12912/27197050/174254","DOIUrl":"https://doi.org/10.12912/27197050/174254","url":null,"abstract":"By combining geomatics techniques and remote sensing data, this paper gives a thorough investigation of the for - est fires that occurred close to Berkane, Morocco, from July 16 to July 18, 2023. The goals of the study included spatiotemporally tracking the propagation of active forest fires during the fire season, and to accurately map the burned area and detect changes in vegetation cover caused by the fire. A detailed fire severity mapping of the impact of the fire on the forest was made by this integrated approach. We used remote sensing data from various sources, including NASA FIRMS data for the fire period and Sentinel-2 satellite imagery acquired two days before and one day after the fire, to accomplish these goals. In terms of estimating the burned area, our study produced im - portant findings. We were able to estimate 3508.12 hectares, 3517.98 hectares, and 3113.63 hectares using satellite imagery with dNBR, dNDVI, and supervised classification, respectively. These results offer considerable potential for directing post-fire management plans and preserving this critically important forest area. The integration of FIRMS data, Sentinel-2 images, and GIS in our research highlights the need of using this coordinated strategy to conduct an accurate and thorough evaluation of forest fires in the area. In addition to improving our understand - ing of forest fire dynamics, this study emphasizes the value of using cutting-edge geospatial and remote sensing techniques in attempts to manage wildfires and save the environment. The findings of this study will contribute significantly to guiding post-fire management strategies, thus promoting the conservation of the vital forest area.","PeriodicalId":52648,"journal":{"name":"Ecological Engineering Environmental Technology","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135944934","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}

{"title":"Investigation and Analysis the Activity of Al-Hindiya Barrage for the Water Demand Issue in Babylon Province, Iraq","authors":"Wisam Shamkhi Jaber, Zainab A. Omran, Saif S. Alquzweeni","doi":"10.12912/27197050/174224","DOIUrl":"https://doi.org/10.12912/27197050/174224","url":null,"abstract":"The Euphrates River faces seasonal changes in water flow in spring, the formations of snowmelt on mountains start to melt leading to increase water levels. In other hand, the water stream flow tends to shrinkage during the draught in the hot months. Climatic patterns, that contain the droughts and the raising of temperatures, influence the water levels. Al-Hindiya Barrage is the main regulation system that provides the water quantities toward Al-Hilla River stream. The fluctuation in water sharing can negatively impact the required productivity of water. The study aimed to build management system for water sharing in Babylon Province that can be used for improve the plan to conserve water demand in domestic and agriculture requirements. The study processed the analysis and modeling by starting of collecting initial data of the average flow rates in Euphrates River toward the Al-Hindiya Barrage for the past ten years. The data also included the annual production of the main crops according to the areas bounded Al-Hilla River. The population growth was calculated for the years up to 2048 then the daily water demand and the water demand for agriculture were determined for the future years and curve fittings were applied to get the correlation equations. The investigation of the water requirements for the main crops (wheat, barely, and corn) was satisfied. The study used the equations of correlation for daily water demand and for crops production to derive Water Demand Index WDI for summer and winter to enhance the water sharing management in the water distribution system. The water demand for agriculture were estimated for the regions in Babylon province: (Hilla City, Abi Gharaq, Al-Hindiya Barrage, Al Midhatiya, Al Hashimiyah, and Al-Qasim). The study achieved in the explanation of WDI two goals: first was managing of water sharing for better conserving, and second was the availability of extra water quantities to be stored for future using.","PeriodicalId":52648,"journal":{"name":"Ecological Engineering Environmental Technology","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136078356","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}

{"title":"The Effect of Internet of Things Based Drip Fertilization System with Cultivation Model on Harvest Results and Quality of Red Lettuce (&lt;i&gt;Lactuca sativa&lt;/i&gt; L. var. Crispa)","authors":"Eko Noerhayati, Siti Asmaniyah Mardiyani, Soraya Norma Mustika","doi":"10.12912/27197050/174220","DOIUrl":"https://doi.org/10.12912/27197050/174220","url":null,"abstract":"Plants on the land quickly wilt and perish due to the extended dry season, severe temperatures, heat, and glaring sunlight. This issue has impacted red lettuce, which has commercial value and high marketing prospects. Providing plants with water and fertilizer during the dry season must be efficient and exact. Excess fertilizer application pollutes the environment. In the dry season, drip irrigation with IoT-based liquid fertilizer distribution is projected to save water and fertilizer due to low discharge and high frequency. The study’s goal is to provide effective au - tonomous distribution of water and fertilizer to red lettuce plants in order to achieve precision environmentally friendly agriculture. A split-plot design with a main plot and subplots was used to structure the research. Each treatment in one replication contained 5 plant samples, for a total of 60 plants in this study, with weekly watering and fertilization. The findings show that an IoT-based automatic water supply and drip fertilization system can precisely regulate the distribution of water and fertilizer to red lettuce plants, thereby improving water efficiency, farmer energy efficiency, and environmental friendliness.","PeriodicalId":52648,"journal":{"name":"Ecological Engineering Environmental Technology","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136078355","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}

{"title":"Agricultural Dependence of the Formation of Water Balance Stability of the Sluch River Basin Under Conditions of Climate Change","authors":"Vitalii Pichura, Larysa Potravka, Iryna Barulina","doi":"10.12912/27197050/174163","DOIUrl":"https://doi.org/10.12912/27197050/174163","url":null,"abstract":"The purpose of the research was to calculate water footprint in growing the basic field crops and establish the volumes of additional water accumulation to provide the hydro-functioning of the Sluch river basin in the territory of Ukraine under conditions of climate change. The research was based on the data of climate change analysis in 1901–2022, decoding of the actual satellite imagery of the spacecraft Sentinel 2 and statistical data on crop rotation structure in the agro-landscapes of the water catchment area in the research region. The volumes of water footprint were calculated for the vegetation periods of the basic field winter and spring crops in 2018–2021: 2018–2019 – a semi-wet year grows into a dry year; 2019–2020 – a dry year grows into a semi-wet year; 2020–2021 – a semi-wet year grows into a wet year. Spatio-temporal regularities of the formation of water footprint and the ratio of green and blue water use in growing different agricultural crops were determined. The total volume of water footprint in growing the field crops of a certain crop rotation equaled: in 2018–2019 – 1991 mln m 3 , 2019–2020 – 2440 mln m 3 , 2020–2021 – 2363 mln m 3 . The total volume of precipitation in the vegetation period within the river water catchment area was: in 2018–2019 – 3760 mln m м 3 , 2019–2020 – 4423 mln m 3 , 2020–2021– 4839 mln m 3 . The total volume of additional accumulation of green (rain) water in the vegetation period in the agro-landscapes of the river basin equaled: in 2018–2019 – 1769 mln m 3 , or 47.0% of precipitation in the vegetation period (Pv); 2019–2020 – 1983 mln m 3 , or 44.8% of Pv; 2020–2021 – 2476 mln m 3 , or 51.2% of Pv. The proposed research scheme and the obtained results are important for adjusting and substantiating water-and resource-saving agro-technologies and crop rotations depending on climate change, for determining water balance stability of the river basin in accordance with the indicators of additional accumulation of green water.","PeriodicalId":52648,"journal":{"name":"Ecological Engineering Environmental Technology","volume":"2011 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135765884","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}

{"title":"Deep Learning Approach for Runoff Prediction: Evaluating the Long-Short-Term Memory Neural Network Architectures for Capturing Extreme Discharge Events in the Ouergha Basin, Morocco","authors":"Nourelhouda Karmouda, Tarik Bouramtane, Mounia TAHIRI, Ilias Kacimi, Marc Leblanc, Nadia Kassou","doi":"10.12912/27197050/174146","DOIUrl":"https://doi.org/10.12912/27197050/174146","url":null,"abstract":"Rainfall-runoff modeling plays a crucial role in achieving efficient water resource management and flood forecast - ing, particularly in the context of increasing intensity and frequency of extreme meteorological events induced by climate change. Therefore, the aim of this research is to assess the accuracy of the Long-Short-Term Memory (LSTM) neural networks and the impact of its architecture in predicting runoff, with a particular focus on capturing extreme hydrological discharges in the Ouergha basin; a Moroccan Mediterranean basin with historical implica - tions in many cases of flooding; using solely daily rainfall and runoff data for training. For this purpose, three LSTM models of different depths were constructed, namely LSTM 1 single-layer, LSTM 2 bi-layer, and LSTM 3 tri-layer, their window size and hyperparameters were first tuned, and on seven years of daily data they were trained, then validated and tested on two separate years to ensure the generalization on unseen data. The performance of the three models was compared using hydrogram-plots, Scatter-plots, Taylor diagrams, and several statistical metrics. The results indicate that the single-layer LSTM 1 outperforms the other models, it consistently achieves higher overall performance on the training, validation, and testing periods with a coefficient of determination R-squared of 0.92, 0.97, and 0.95 respectively; and with Nash-Sutcliffe efficiency metric of 0.91, 0.94 and 0.94 respectively, challenging the conventional beliefs about the direct link between complexity and effectiveness. Furthermore, all the models are capable of capturing the extreme discharges, although, with a moderate underprediction trend for LSTM 1 and 2 as it does not exceed -25% during the test period. For LSTM 3, even if its underestimation is less pronounced, its increased error rate reduces the confidence in its performance. This study highlights the impor - tance of aligning model complexity with data specifications and suggests the necessity of considering unaccounted factors like upstream dam releases to enhance the efficiency in capturing the peaks of extreme events.","PeriodicalId":52648,"journal":{"name":"Ecological Engineering Environmental Technology","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135804877","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}

{"title":"Analysis of the Phytoremediation Dynamic System of Lead in Mangrove Plants at the Wonorejo River Estuary, Surabaya, Indonesia","authors":"Yohanna Camelia Bengan Sait, Harmin Sulistiyaning Titah, Herman Pratikno Pratikno","doi":"10.12912/27197050/174094","DOIUrl":"https://doi.org/10.12912/27197050/174094","url":null,"abstract":"Lead (Pb) is a non-essential heavy metal found as an inorganic pollutant in the water, sediment","PeriodicalId":52648,"journal":{"name":"Ecological Engineering Environmental Technology","volume":"287 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135922833","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}

{"title":"Removal Efficiency of Synthetic Toxic Dye from Water and Waste Water Using Immobilized Green Algae: Bioremediation with Multi Environment Conditions","authors":"Sarab Adeem Juda, Ahed Mohammed Ali, Alla R. Omrain, Zahraa Hussein Obaid, Jasim M. Salman","doi":"10.12912/27197050/174050","DOIUrl":"https://doi.org/10.12912/27197050/174050","url":null,"abstract":"The synthetic dye industry is a significant source of anthropogenic pollutants emitted into many water bodies across the world. Bioremoval is a substitute for industrial techniques for detoxifying dye-contaminated water. Green algae is an abundant microorganism processing to produce cost-effective, eco-friendly, and high-quality method to bioremediation by immobilization technique. In this present study, The effectiveness of the immobilized green alga Chlorella vulgaris to eliminate Congo red dye in both water and wastewater was assessed through the biodegradation Process under various conditions, including pH, concentration of dye, contact time, and NaCl. The results revealed that the removal increased with increasing contact duration, with the maximum bioremoval percentage occurring at 89.6% at a contact time of 13 days. The removal effectiveness of dye as the number of beads of immobilized C.vulgaris algae grew; the highest removal efficiency was achieved at 7–8 beads of immobilized C.vulgaris algae. There was also an inverse relationship between bioremoval and dye concentration; the maximum removal percentage was 90.1% at 0.1 M dye concentration. The highest removal efficiency was found in the range (91.3–86) at pH 6–7. The bioremoval of Congo red dye was similar in fresh and salinity water (87.2% and 85.3%, respectively). This study observed high removal efficiency for immobilized algae to Congo red under different concentrations of NaCl as an indicator of salinity, ranging between 85.3 and 87.2%.","PeriodicalId":52648,"journal":{"name":"Ecological Engineering Environmental Technology","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136057915","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}

{"title":"Decoupling Analysis, Economic Structure on Environmental Pressure in Vietnam During 2008–2018","authors":"Ta Thi Huong","doi":"10.12912/27197050/174035","DOIUrl":"https://doi.org/10.12912/27197050/174035","url":null,"abstract":"In this research, we display the trajectories of Vietnam’s environmental pressure throughout the years during 2008–2018 and identify the underlying socioeconomic driving factors through input-output and forward-backward linkage analysis. Decoupling index (DI) and input-output analysis (IOA) indicated that mining, the extraction, and use of fossil fuels, as well as energy generation for daily life and manufacturing industries, are the primary contributors to rising environmental pressures (DI; forward and backward linkage values > 1). Vietnam’s decoupling performance has four distinct phases. Mineral and fossil fuel depletion; climate change in the short-term and long-term, and water stress indexes (the ratio of total annual freshwater withdrawal to hydrological availability) were high with 456.91%; 55.91%; 54.43%; 41.87%; and 30%, respectively during 2008–2018.","PeriodicalId":52648,"journal":{"name":"Ecological Engineering Environmental Technology","volume":"123 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136254078","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}

{"title":"Detection the Impact of Chlorophyll Index and Global Environmental Monitoring Index on Water Separation in Swansea in Wales, United Kingdom Through Analysing the Spectral Wavelengths of Landsat 8-OLI","authors":"Hayder Kareem, Zainab Omran, Muammar Attaee","doi":"10.12912/27197050/174007","DOIUrl":"https://doi.org/10.12912/27197050/174007","url":null,"abstract":"Understanding the condition, spatial arrangement, and changing patterns of vegetation cover holds significant scientific and economic importance. Satellite platforms offer a highly convenient means to study how vegetation reacts to atmospheric influences by gauging reflectance in the visible and near-infrared spectra. Given the numerous potential origins of environmental land cover variability, this study seeks to examine how vegetation cover influences water separation. This is achieved by identifying the chlorophyll index (CIG) and global environmental monitoring index (GEMI) to enhance the vital safeguarding of water sector against the encroachment of excessive vegetation. To gain deeper insights into the impact of extensive vegetated areas, we have analyzed the CIG and GEMI within Swansea County, situated in Wales, United Kingdom. These emphasized indices are applied and their effectiveness is evaluated using geographic information systems and remote sensing technology. The outcomes of the CIG and GEMI analyses reveal that the indexes exhibit their lowest and highest values at (-1.38) and (1.75105, -9.61413e+008) respectively. These findings indicate the presence of extensive vegetated regions with a substantial proportion of chlorophyll emissions being reflected into the atmosphere. The dispersion of chlorophyll concentrations across the environment implies a significant risk to the water sector, potentially resulting in severe shortages and the potential for future water scarcity. Elevated readings of the CIG and GEMI indicate extensive coverage of Earth’s surface by vegetation, impacting the crucial water resources essential humanity. It is prudent to safeguard freshwater reserves and utilize it wisely to maintain its permanence.","PeriodicalId":52648,"journal":{"name":"Ecological Engineering Environmental Technology","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136254077","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}