Titlebook: Microbial Bioremediation; Sustainable Manageme Rouf Ahmad Bhat,Monica Butnariu,Khalid Rehman Hake Book 2023 The Editor(s) (if applicable) a

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The Science of Microbial Enzymes as Detoxification Tool for Inorganic and Organic Pollutants,on purposes are dehydrogenases, cytochrome P450s, proteases, lipases, and dehalogenases, which have the capacity for the deterioration of aromatic hydrocarbons, dyes, detergents, agrochemical compounds, halogen compounds, polymers, etc. This chapter gives an overview of the various microbial enzymes

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Book 2023ure applications. Microbial biotechnology in environmental monitoring and bioremediation thus represent a new way to rehabilitate and reconstruct “damaged” ecosystems..This work summarizes the latest research in the field of environmental bioremediation and offers fascinating insights on the behavio

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ate climatic and soil conditions. Besides, socioeconomic information was collected through field surveys in Kabul Province in order to develop the vineyard suitability map. Finally, the suitable classes were determined using a weighted overly method based on the analytical hierarchy overlay process

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Vandana Singh,Tahseena Naazgnificant energy and water inputs. This study discusses the utilization of remote sensing data to identify the geothermal area and the potential of land conversion for agricultural production and energy security. The methodology of the study involved computing radiative heat flux (RHF) that associat

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Younis Ahmad Hajam,Rajesh Kumar,Shweta Singh, erosion, point distance, and near-feature analysis. We converted 16,550 baseline vertices to points as the study ground reference points (GRPs) and validated those points using the country data sheet collected from the Survey of Bangladesh (SoB). We observed that the delta’s shorelines were change

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Mihaela Ro?ca,Gabriela Mihalache,Vasile Stoleruiver Operating Characteristic (ROC) technique. The results show that area under the ROC curve (AUC) using training dataset has the largest for the Decision Tree with Bagging (0.925) and the FURIA with Bagging (0.913), followed by the Decision Tree (0.908) and the FURIA (0.878). The prediction capabi