The Dalong tin deposit, located in the Luziyuan polymetallic ore field of the southern Baoshanblock, Southwest China, is composed of lenticular and bedded orebodies hosted in a Cambrianslate-marble sequence. As the only tin deposit in the orefield, the genesis of the Dalong deposit isof great significance to the understanding of regional metallogenic regularity. Based on a systematicfield survey and petrographic observation, EPMA and LA-ICP-MS major/trace element analyses ofcassiterite were carried out in this study. The enrichment of Fe, W, and Ti in cassiterite, as well as thedepletion of Nb, Ta, and Mn, reveal cassiterite’s features in granitic magmatic-hydrothermal deposits.The Dalong deposit can be categorized as a magmatic-hydrothermal vein-type deposit because of itssulfur isotopic properties, and the main sources of ore-forming fluid and minerals are thought to beburied intermediate-acid intrusions in the mining area’s depths.

The socio-economic and institutional systems of a developing country like India have a big role in the effects of perception on the choice of adapting capability. The study uses exploratory factor analysis to better understand these implications in a regional context (EFA). Therefore, survey research is carried out in Sindhudurg district of coastal Maharashtra, with 410 respondents, assessing perception. EFA leads to the unpacking of latent constructs evaluating the perception of climate change, which in turn affects adaptive capacity and livelihood resilience. These constructs are biophysical impact cognition, motivation to change, economic diversification, and adaptive skills, which together account for 50% of coastal fishermen’s perception of climate change. Multivariate analysis of variance (MANOVA) revealed differences in the interpretation of these factors among coastal fishermen from various backgrounds (MANOVA). Overall, the research emphasizes the importance of perception in determining adaptive choices and resilience. According to the findings, developing adaptation-friendly infrastructural areas is recommended for society’s resilient functioning.

The purpose of this study was to analyze abrasion at the border of Sayung, Demak, Indonesia. Coastal abrasion data were obtained from high-resolution images from 2005-to 2017 by using ArcGIS 10.3, while data on environmental factors that affected abrasion, including tides from 2013-to 2017, was obtained from BMKG. Based on the analysis and calculations, the area of abrasion at the coast of Sayung, Demak was 262.74 hectares spread over four villages, namely Sri Wulan, Bedono, Timbulsloko, and Surodadi. Avifauna in the mangroves will be severely harmed by abrasion. As a result, abrasion prevention and evaluation, as well as the factors that cause abrasion, are required to reduce the impact of abrasion on the specified shore.

This study aims to evaluate the toxic effects of organophosphate insecticide triazophos, biopesticide spinosad, and a pyrethroid insecticide cypermethrin on benthic Oligochaete worm, Branchiura sowerbyi during 96 h acute exposure. B. sowerbyi were exposed to two different sub-lethal concentrations (10% and 50% of 96h LC50) of triazophos, spinosad, and cypermethrin for 96 h in laboratory conditions. Catalase (CAT) activity of the control and treated worms were evaluated after 24 and 96 h of exposure. Integrated biomarker response (IBR) was applied for comparison between these three toxicants. For all sub-lethal doses i.e. 2.25 mg.L-1 and 0.5 mg.L-1 of test chemical triazophos, 3.07 mg.L-1 and 0.6 mg.L-1 of test chemical spinosad, and 0.38 mg.L-1 and 0.08 mg.L-1 of test chemical cypermethrin, catalase (CAT) activity raised significantly (p<0.05) in the treated worms in compare to the control worms. This study shows that toxicants including Triazophos, spinosad, and cypermethrin cause a large increase in catalase (CAT) activity in Branchiura sowerbyi, which is likely due to the toxicant’s increased ROS creation neutralizing the negative effects. IBR analysis aids in the differentiation of these three compounds’ harmful effects. As per IBR analysis, the rank of the toxicants is Cypermethrin > Triazophos > Spinosad.

In recent years, the water environment management of the Wenyu River has yielded positive outcomes. In comparison to earlier, the general water quality has substantially improved. However, some areas’ water quality has not improved as a result of the overall trend of improvement, which has implications for the surrounding areas and the entire water environment. To further explore the water environmental quality of specific river sections, this paper adopts the five monitoring sections of Shahe Gate, Mafang, Lutuan Gate, Xinbao Gate, and the additional sewage outlet in 2019, and the three main water quality indicators of COD, DO, and NH3-N. The water quality of the Wenyu River was evaluated using the comprehensive water quality identification index method, and the characteristics of its temporal and spatial changes were studied using correlation analysis and spatial clustering. The results have shown that the Wenyu River is generally Grade V water during the flood season, and is inferior to Grade V water during the non-flood season. All indicators have a regular time and space distribution and are highly influenced by environmental and human factors. Overall, the water quality of the Wenyu River may essentially reach the water environment function zoning target value. Improvements to the river portions below the Xinbao sluice, as well as the use of rainwater resources, must be prioritized.

Heavy metal pollution from the increased use of sewage effluent for irrigation is posing a hazard to agricultural ecosystems. Thus, a reliable and simple method of reducing the impact of heavy metals on plant growth is required. In the present study, cyanobacterial species were isolated from the sewage water irrigated soil of Rohtak city, Haryana, India, and characterized by various biochemical parameters. The cyanobacterial filtrates were then used to analyze their effects on the growth performance of rice seedlings under various concentrations of sewage wastewater. The results revealed a statistically significant increase in biomass, photosynthetic pigments, nitrate reductase activity, plumule, and radical length of rice seedlings by application of cyanobacterial filtrates. The antioxidant system (peroxidase enzyme and catalase enzyme activity) was also found to be stimulated. As compared to introduced species, the extracts of isolated species had a more favorable, statistically significant effect on rice seedlings. Our study indicated that these isolates have a high tolerance against heavy metals and are potentially useful as biofertilizers for the crops in sewage water irrigated agroecosystems.

Noise pollution assessment was carried out in selected traffic junctions of Imphal city of Manipur, India,using noise parameters and indices such as L10, L50, L90, Leq for the different periods of the day, i.e.,morning, noon, and evening hours. The study of equivalent noise level (Leq), noise parameters, andvarious noise indices have enabled the evaluation of the overall traffic noise environment of the city.The noise indices such as traffic noise index (TNI), noise climate (NC), traffic noise pollution level (LNP),noise exposure index (NEI) along with day time (LD), night time (LN) average, and day-night (Ldn) noiselevels were assessed for the selected traffic junctions. Moreover, spatial noise mapping was carriedout using the geostatistical interpolation technique to evaluate the changes of traffic noise scenariosduring the different time zones of the day. The Leq values in a few traffic junctions exceeded the requirednoise standards. The study shows equivalent noise levels ranging between 52.2-69.9 dB(A) duringthe morning (7-10 am), 52.4 -69.3 dB(A) during noon (12 noon-2 pm), and 54.6-71.1 dB(A) during theevening (4-7 pm) hours, respectively.

Heavy metals, especially Pb (lead), are generally toxic to living things. Pb can contaminate organisms in the water through the food chain. The purpose of this study is to enhance water quality by using Salvinia molesta to phytoremediate Pb-polluted water. This study aims to evaluate the ability of S. molesta as a Pb phytoremediator. We evaluated total protein, free amino acids produced by the plant, and plant growth (dry biomass). S. molesta was grown in a hydroponic system exposed to Pb at dosages of 0, 5, 10, and 15 ppm for 7 and 14 days. Pb level was analyzed using Atomic Absorption Spectrophotometer and amino acids were analyzed using High-Pressure Liquid Chromatography. Data were statistically analyzed using analysis of variance (ANOVA) followed by Tukey’s test (α < 0.05). Results showed a significant change in Pb content in the roots and leaves of Pb-exposed S. molesta Mitch compared to control. In Pb-exposed plants, total protein and amino acids, especially cysteine, were lowered. S. molesta could be used as a Pb phytoremediator due to its high potential to survive Pb exposure and its ability to absorb Pb.

Contamination of surface water by rapid industrialization, natural and anthropogenic activities is ofgreat concern over the last few decades. Nowadays, canal water systems are no exception to thisform of contamination, which results in water quality degradation. To classify the canal water basedon the Bureau of Indian Standards (BIS), it was thought to develop a quick and inexpensive approachas an alternative to the time-consuming analysis approach. With this motivation, the present studyexplores building a machine learning model for water quality classification of a major canal namelythe Talaldanda canal operating in the state of Odisha, India. The water quality class is predicted usingsupervised machine learning (ML) prediction models for the new canal water input parameters. Thewater quality parameters such as pH, dissolved oxygen (DO), biochemical oxygen demand (BOD), andtotal coliform (TC) at six strategic locations of the canal from the year 2013-2020 were collected fromOdisha State Pollution Control Board for the training phase. The supervised ML models used in thestudy are Decision Tree (DT), Neural Network (NN), k-NN (k-Nearest Neighbor), Naïve Bayes (NV),Support Vector Machine (SVM), and Random Forest (RF). The predictions of the models are evaluatedusing the Orange-3.29.3 data analytics tool. When analyzing the performance parameters by samplingthe training data into training and testing using cross-validation, the results show that DT has a higherclassification accuracy (CA) of 96.6 percent than other ML models. In addition, the likelihood of DTcorrectly predicting water quality class for the testing dataset is higher than that of other predictionmodels.

The current rapid urbanization, industrialization, and expansion of urban construction patterns have resulted in a large number of residual plaques in the urban area, including both the original plaques that are extremely fragmented and the new plaques that are metabolized by urban production, especially natural habitat patches are more pronounced. Ecological restoration of residual plaques plays an important role in maintaining biodiversity, protecting native species, providing ecological services, revitalizing land resources, inheriting regional characteristics, shaping urban image, and improving the ecological environment. Therefore, research on the subject is necessary and urgent. The topic is based on the ecological survey of urban residual patches and the study of the characteristic attributes of current urbanization, defining the connotation, extension, type, characteristics, and influencing factors of urban residual patches, and analyzing the process of fragmentation of residual plaques in cities and their artificial interference relationship. From the macro, meso, and micro scales, from the top level of ecological planning, the whole process of life cycle management, and the moderately disturbed bottom layer of ecological engineering nodes, three levels are restored, theoretical integration guidance and technical restoration. Based on the three dimensions of the continuous symbiosis of nature, cost control of the economy, and public participation of the society, repair and activate the remaining plaques of the city to provide technical support for the construction and sustainable development of urban ecological civilization.