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Abstract The current study was carried out to estimate the prevalence and diversity of ectoparasites in rock pigeons in different regions of Punjab, Pakistan. A total of 120 birds were captured from March 2017 to February 2019. The ectoparasites were collected by standard procedures and preserved in 70% ethanol containing one drop of glycerin. Data related to age, health status, sex, type of area, sampling location and season were collected using a standardized form. Ectoparasites were identified based on morphological characteristics by using identification keys. Ninety-six (80%) birds were infested with ectoparasites. A total of seven families and thirteen species of different ectoparasites were observed. Mainly, seven species of lice, two species of flies, one species of tick and three species of mites were recovered from infested birds. The female pigeons were more often infested (89.02%) than male pigeons (60.52%). The prevalence was found higher during summer (100%) as compared to other seasons. The infestation rate was higher in Industrial area (97.50%) as compared to other regions. The highest prevalence of ectoparasites (100%) was recorded from Sargodha district. There was significant (P < 0.05) variation among number of ectoparasites on wing, chest, tail and neck within age groups, seasons and ecological zones. The occurrence of parasites in relation to area, age, health status, sex and season were significant. The infestation rate of parasites in rock pigeon is high in different districts of Punjab. It is recommended that these wild birds infested with multiple species of ectoparasites could be the potential source of infestations in domesticated birds if they come in contact with them. The contact of domesticated birds should be prevented from wild birds to minimize the chance of cross species transmission of ectoparasites.

Pollution characteristics and ecological risks for metals in non-magnetic and magnetic road dust from steel industrial areas were investigated by applying a magnetic separation method. Metal (except for Al, Li, Ti, As, and Sb) concentrations in the magnetic road dust were 1.2 (Sn) to 7.8 (Fe) times higher than those in the non-magnetic road dust. For the magnetic road dust, the geo-accumulation index revealed a strongly to extremely polluted status for Cr, Zn, Cd, and Sb, a strongly polluted status for Mn, Cu, and Pb, and a moderately to strongly polluted status for Fe, Ni, Mo, and Hg. This result indicates that the dominant metal pollution sources of road dust in industrial areas were the traffic activities of heavy-duty vehicles. The mean content of magnetic particles accounted for 44.7% of the total road dust. The metal loadings in the magnetic road dust were 86% (Fe), 77% (Cr), 67% (Mn), 86% (Ni), 76% (Cu), 72% (Zn), 64% (Mo), and 62% (Cd), respectively. Removal of the magnetic fraction from road dust using magnetic separation techniques not only reduces metal contamination but can also improve effective road cleaning strategies or reduce waste generation.

Particulate matter represents a serious hazard to human health, and air quality models contribute to the understanding of its dispersion. This study describes particulate matter with a ≤10 μm diameter (PM10) dynamics in an urban–industrial area, through the comparison of three datasets: modeled (TAPM—The Air Pollution Model), measured concentration (environmental control stations—ECS), and leaf deposition values. Results showed a good agreement between ECS and TAPM data. A steel plant area was used as a PM10 emissions reference source, in relation to the four sampling areas, and a distance/wind-based factor was introduced (Steel Factor, SF). Through SF, the three datasets were compared. The SF was able to describe the PM10 dispersion values for ECS and leaf deposition (r2 = 0.61–0.94 for ECS; r2 = 0.45–0.70 for leaf); no relationship was found for TAPM results. Differences between measured and modeled data can be due to discrepancies in one district and explained by a lack of PM10 inventory for the steel plant emissions. The study suggests the use of TAPM as a suitable tool for PM10 modeling at the urban scale. Moreover, tree leaves are a low-cost tool to evaluate the urban environmental quality, by providing information on whether and when data from leaf deposition can be used as a proxy for air pollution concentration. Further studies to include the re-suspension of particles as a PM10 source within emission inventories are suggested.

Traffic accident detection is an important strategy governments can use to implement policies intended to reduce accidents. They usually use techniques such as image processing, RFID devices, among others. Social network mining has emerged as a low-cost alternative. However, social networks come with several challenges such as informal language and misspellings. This paper proposes a method to extract traffic accident data from Twitter in Spanish. The method consists of four phases. The first phase establishes the data collection mechanisms. The second consists of vectorially representing the messages and classifying them as accidents or non-accidents. The third phase uses named entity recognition techniques to detect the location. In the fourth phase, locations pass through a geocoder that returns their geographic coordinates. This method was applied to Bogota city and the data on Twitter were compared with the official traffic information source; comparisons showed some influence of Twitter on the commercial and industrial area of the city. The results reveal how effective the information on accidents reported on Twitter can be. It should therefore be considered as a source of information that may complement existing detection methods.

Abstract. Measuring high spatial/temporal industrial heat emission (IHE) is an important step in industrial climate studies. The availability of MODIS data products provides up endless possibilities for both large-area and long-term study. nevertheless, inadequate for monitoring industrial areas. Thus, Thermal sharpening is a common method for obtaining thermal images with higher spatial resolution regularly. In this study, the efficiency of the TsHARP technique for improving the low resolution of the MODIS data product was investigated using Landsat-8 TIR images over the Klang Industrial area in Peninsular Malaysia (PM). When compared to UAV TIR fine thermal images, sharpening resulted in mean absolute differences of about 25 °C, with discrepancies increasing as the difference between the ambient and target resolutions increased. To estimate IHE, the related factors (normalized) industrial area index as NDBI, NDSI, and NDVI were examined. The results indicate that IHE has a substantial positive correlation with NDBI and NDSI (R2 = 0.88 and 0.95, respectively), but IHE and NDVI have a strong negative correlation (R2 = 0.87). The results showed that MODIS LST at 1000 m resolution can be improved to 100 m with a significant correlation R2 = 0.84 and RMSE of 2.38 °C using Landsat 8 TIR images at 30 m, and MODIS LST at 1000 m resolution can still be improved to 100 m with significant correlation R2 = 0.89 and RMSE of 2.06 °C using aggregated Landsat-8 TIR at 100 m resolution. Similarly, Landsat-8 TIR at 100 m resolution was still improved to 30 m and used with aggregate UAV TIR at 5 m resolution with a significant correlation R2 = 0.92 and RMSE of 1.38 °C. Variation has been proven to have a significant impact on the accuracy of the model used. This result is consistent with earlier studies that utilized NDBI as a downscaling factor in addition to NDVI and other spectral indices and achieved lower RMSE than techniques that simply used NDVI. As a result, it is suggested that the derived IHE map is suitable for analyzing industrial thermal environments at 1:10,000 50,000 scales, and may therefore be used to assess the environmental effect.

Purpose The purpose of this paper is to measure the capacities and identify the vulnerabilities of the communities to contribute to their flood disaster risk management. Design/methodology/approach Questionnaire-style surveys and interviews in the four target communities and 25 critical facilities have been used. Their flood experience is also collected to explore the practical risk management solutions and preserve those as their local assets. Findings Findings show the capacity gaps among the target communities. For instance, the relatively populated urbanized communities tend to have high capacities. On the other hand, the not-so-populated farmer-based communities have low capacities, tending to focus more on droughts than floods, and lack scientific information. This research also identifies vulnerability groups and critical facility locations on the map with narratives. Originality/value The findings enable the communities to clarify their updated capacities, examine the vulnerabilities, identify the risks with possible hazard information and guide them to cope with flood risk to protect them with self, mutual and public help. This study can contribute to other industrial parks/estates in Thailand and anywhere in the world as an insightful reference to build resilient industrial complex areas.

The study targets at farmer’s perception and their cognition how they conceive that agricultural performance has been affected and devastated through industrial work. It reviews and investigates the opinion of 25% farmers of two villages from each upazila of two named Madhapur and Habiganj sadar upazila in Sylhet division where Charu Ceramic Industry Limited and Olipur industry are located respectively from mid-September to mid-October, 2021 through survey of questionnaire, interview and group discussion. According to 85% farmers, the industry shades agriculture by imposing an adverse and toxic impact on agricultural exposure and development. Among them, (41.6% and 48.4%) of farmers realize that the industry creates high propensity of losing standard quality of soil and water, respectively. They (40.2%) notice that invasion of several dangerous insects on crops has become prominent and unmanageable near the industrial area. The study represents such kind of realization of farmers to show a salient feature in view of their finding causes and intuition with significant numerical data. Int. J. Agril. Res. Innov. Tech. 11(2): 133-138, Dec 2021

The power plant “Power and Light” (1932, Belgrade) was the first one to generate alternating current in Serbia. Situated along the Danube river, it represented a part of an industrial area positioned in the Dorćol neighborhood, close to the urban core. Since 2005, the whole area has been exposed to a significant transformation into a luxurious residential and commercial complex, triggered by the intentions of private investors and directed by the ideas of changing city authorities. Considering the unpredictable local context created by the dominant post-socialist transitional economy, the article focuses on the sensitive relationship between the social sustainability of the ongoing urban regeneration plans and the emerging neoliberal forces targeting the areas of industrial heritage. Consequently, the case of the Dorćol ex-power plant and the anticipated changes in its urban surrounding are analyzed according to the selected principles of social sustainability. Revealing numerous controversies, both on the level of preferred urban policies and their questionable application, this case addresses the problems of heritage (re)use and regeneration in an environment of fast-shifting governmental priorities and financial flows, with reduced receptivity to sustainable solutions.

<em>This study tries to analyze the implementation of laws and policies regarding the development of urban agglomerations, analyze agrarian law regulations in Indonesia addressing industrial estate issues, and analyze the leading sectors and economic potential of the city of Semarang. In this study, the authors use the Base Sector Analysis/LQ Analysis, Economic Sector Performance Analysis/Shift Share Analysis, Growth Ratio Model Analysis/GRM, Klassen Typology Analysis, Overlay Techniques, and SWOT Analysis to measure the competitive advantage of each element), and provide policy recommendations for the government as well as for industry players. The object of this research is spread over several industrial areas located in Semarang City including Wijaya Kusuma Industrial Area, Candi Industrial Area, BSB Industrial Park, and Terboyo Industrial Estate. The findings of this study are that it is known that leading sectors such as warehousing, financial services, transportation, retail, real estate, trade, and construction are economic bases that are growing rapidly and can support the development of urban agglomerations.</em>