scholarly journals Sulfur Contamination and Environmental Effects: A Case Study of Current SO2 Industrial Emission by Biomonitoring and Regional Post-mining hot-spots

2021 ◽  
Vol 15 (1) ◽  
pp. 82-96
Author(s):  
Justyna Likus-Cieślik ◽  
Marcin Pietrzykowski
Keyword(s):  
Soil Properties ◽  
Hot Spots ◽  
Mine Drainage ◽  
Regional Scale ◽  
Borehole Mining ◽  
The Impact ◽  
Open Cast ◽  
Sulfur Contamination ◽  
Comprehensive Study

The presence of sulfur in the environment is an important macroelement for plant growth but becomes harmful in excessive amounts. The previous century saw rising levels of high SO2 concentrations (stemming from fossil fuel combustion) and wet deposition from acid rain, causing the intensification of forest die-back. Air pollution can be controlled or measured by biomonitoring. Despite recent reductions in SO2 emissions, urban and industrial areas are still at risk from high sulfur contamination. Open-cast lignite and sulfur borehole mining play a pivotal role in the regional scale of ecosystem contamination and acid mine drainage. Consequently, these aspects are unique for assessing the impact of extreme S contamination on soil properties changes, the vegetation effect, and biogeochemical cycles. We presented i) current SO2 pollution based on S concentration in pine needles, and ii) a comprehensive study of soil properties, as well as plant reactions to excessive sulfur concentration in the restored forest ecosystem of a former sulfur mine.

Regional characterisation of soil properties by combining soil science and hyperspectral and thermal remote sensing: A technical overview of lab and field remote sensing methods

2021 ◽  
Author(s):  
Richard Mommertz ◽  
Lars Konen ◽  
Martin Schodlok
Keyword(s):  
Remote Sensing ◽  
Soil Properties ◽  
Regional Scale ◽  
Arable Land ◽  
Soil Mapping ◽  
Soil Science ◽  
Near Surface ◽  
Soil Parameter ◽  
The Impact ◽  
Parameter Retrieval

<p>Soil is one of the world’s most important natural resources for human livelihood as it provides food and clean water. Therefore, its preservation is of huge importance. For this purpose, a proficient regional database on soil properties is needed. The project “ReCharBo” (Regional Characterisation of Soil Properties) has the objective to combine remote sensing, geophysical and pedological methods to determine soil characteristics on a regional scale. Its aim is to characterise soils non-invasive, time and cost efficient and with a minimal number of soil samples to calibrate the measurements. Konen et al. (2021) give detailed information on the research concept and first field results in a presentation in the session “SSS10.3 Digital Soil Mapping and Assessment”. Hyperspectral remote sensing is a powerful and well known technique to characterise near surface soil properties. Depending on the sensor technology and the data quality, a wide variety of soil properties can be derived with remotely sensed data (Chabrillat et al. 2019, Stenberg et al. 2010). The project aims to investigate the effects of up and downscaling, namely which detail of information is preserved on a regional scale and how a change in scales affects the analysis algorithms and the possibility to retrieve valid soil parameter information. Thus, e.g. laboratory and field spectroscopy are applied to gain information of samples and fieldspots, respectively. Various UAV-based sensors, e.g. thermal & hyperspectral sensors, are applied to study soil properties of arable land in different study areas at field scale. Finally, airborne (helicopter) hyperspectral data will cover the regional scale. Additionally forthcoming spaceborne hyperspectral satellite data (e.g. Prisma, EnMAP, Sentinel-CHIME) are a promising outlook to gain detailed regional soil information. In this context it will be discussed how the multisensor data acquisition is best managed to optimise soil parameter retrieval. Sensor specific properties regarding time and date of acquisition as well as weather/atmospheric conditions are outlined. The presentation addresses and discusses the impact of a multisensor and multiscale remote sensing data collection regarding the results on soil parameter retrieval.</p><p> </p><p>References</p><p>Chabrillat, S., Ben-Dor, E. Cierniewski, J., Gomez, C., Schmid, T. & van Wesemael, B. (2019): Imaging Spectroscopy for Soil Mapping and Monitoring. Surveys in Geophysics 40:361–399. https://doi.org/10.1007/s10712-019-09524-0</p><p>Stenberg, B., Viscarra Rossel, R. A., Mounem Mouazen, A. & Wetterlind, J. (2010): Visible and Near Infrared Spectroscopy in Soil Science. In: Donald L. Sparks (editor): Advances in Agronomy. Vol. 107. Academic Press:163-215. http://dx.doi.org/10.1016/S0065-2113(10)07005-7</p>

scholarly journals Climate Aridity under Changing Conditions and Implications for the Agricultural Sector: Italy as a Case Study

2013 ◽  
Vol 2013 ◽  
pp. 1-7 ◽  
Author(s):  
Luca Salvati ◽  
Marco Zitti ◽  
Rosanna Di Bartolomei ◽  
Luigi Perini
Keyword(s):  
Agricultural Sector ◽  
Potential Evapotranspiration ◽  
Regional Scale ◽  
Aridity Index ◽  
Agricultural System ◽  
Temperature Regimes ◽  
Time Period ◽  
Diachronic Analysis ◽  
The Impact

A comprehensive diachronic analysis (1951–2010) of precipitation and temperature regimes has been carried out at the national and regional scale in Italy to investigate the impact of climate aridity on the agricultural system. Trends in climate aridity have been also analysed using UNEP aridity index which is the ratio between rainfall and potential evapotranspiration on a yearly basis. During the examined time period, and particularly in the most recent years, a gradual reduction in rainfall and growing temperatures have been observed which have further widened the gap between precipitation amounts and water demand in agriculture.

Wildfire impact on the hydrological conditions of an Alpine slope 

2021 ◽  
Author(s):  
Monica Corti ◽  
Andrea Abbate ◽  
Vladislav Ivanov ◽  
Monica Papini ◽  
Laura Longoni
Keyword(s):  
Soil Properties ◽  
Infiltration Rate ◽  
Hydrogeological Model ◽  
Infiltration Rates ◽  
Mountain Environments ◽  
Hydrogeological Properties ◽  
Infiltration Tests ◽  
Changes Over Time ◽  
The Impact

<p>Wildfire events have severe effects over mountain environments, changing dramatically the local terrain hydrogeological conditions and frequently affecting slope stability. Besides burning vegetation, wildfires induce a modification on soil properties that could result in a decreased capacity of infiltration. This leads to an increase of erosion and, potentially, of the related geohazards, such as flash flooding and debris flows, in the vicinity of the affected sites.</p><p>Past studies found that this reduced infiltration rate changes over time and the original hydrogeological soil properties are expected to recover in as long as 10 years after the wildfire event, depending on the environmental characteristics and on the soil properties of the site.</p><p>Our work aims to investigate the impact of a wildfire on the infiltration conditions of a slope located in the Southern Alps, considering as a case study a wildfire event occurred in Sorico (CO) in December 2018.</p><p>The effects of the wildfire on the infiltration rates and the subsequent recovery of the original hydrogeological properties were evaluated over the span of more than two years after the event. Infiltration tests were performed both within the most affected area as well as in the nearest unburnt area. Results were then correlated with precipitation and satellite imagery data in order to retrieve a recovery factor, necessary for the calibration of a simple 1D hydrogeological model.</p>

scholarly journals Impact of coastal inundation on ecology and agricultural land use case study in central Java, Indonesia

2011 ◽  
Vol 30 (3) ◽  
pp. 19-32 ◽  
Author(s):  
Muh Marfai
Keyword(s):  
Land Use ◽  
Agricultural Land ◽  
Regional Scale ◽  
Agricultural Land Use ◽  
Use Case ◽  
Coastal Inundation ◽  
Central Java ◽  
Dry Farming ◽  
The Impact

Impact of coastal inundation on ecology and agricultural land use case study in central Java, Indonesia Focusing on the regional scale, this study provides information concerning the existing ecological problems associated with coastal inundation in the northern part of coastal area in Central Java Province, Indonesia. The objectives of this paper are to map the coastal inundation, to investigate the impact of coastal inundation on coastal environment and ecology, and to assess the impact of inundation on agricultural land use. An integration of techniques, namely neighborhood analysis, iteration operation, and superimposed analysis method has been applied to generate the digital map and to analyze the impact of inundation. Fieldwork measurement has been done using cross-profiling in order to observe the impact of inundation on the coastal ecosystem. Based on the scenario of 100 cm and 150 cm of inundation, the affected area is about 15 207.6 Ha and 16 687.31 Ha, respectively. Fishpond, dry farming and paddy field are the most affected agricultural areas due to coastal inundation.

scholarly journals Impacts of meteorological uncertainties on the haze formation in Beijing–Tianjin–Hebei (BTH) during wintertime: a case study

2017 ◽  
Vol 17 (23) ◽  
pp. 14579-14591 ◽  
Author(s):  
Naifang Bei ◽  
Jiarui Wu ◽  
Miriam Elser ◽  
Tian Feng ◽  
Junji Cao ◽  
...  
Keyword(s):  
Fine Particles ◽  
Control Strategies ◽  
Regional Scale ◽  
Temporal Variations ◽  
Ensemble Mean ◽  
Haze Episode ◽  
Haze Formation ◽  
The Impact ◽  
The City

Abstract. In the present study, a persistent heavy haze episode from 13 to 20 January 2014 in Beijing–Tianjin–Hebei (BTH) is simulated using the WRF-CHEM model through ensemble simulations to investigate impacts of meteorological uncertainties on the haze formation. Model results show that uncertainties in meteorological conditions substantially influence the aerosol constituent simulations at an observation site in Beijing, and the ratio of the ensemble spread to the ensemble mean (RESM) exceeds 50 %. The ensemble mean generally preforms well in reproducing the fine particles' (PM2.5) temporal variations and spatial distributions against measurements in BTH. The meteorological uncertainties do not alter the PM2.5 distribution pattern in BTH principally or dominate the haze formation and development, but remarkably affect the simulated PM2.5 level, and the RESM for the simulated PM2.5 concentrations can be up to 30 % at the regional scale. In addition, the rather large RESM in PM2.5 simulations at the city scale also causes difficulties in evaluation of the control strategies. Therefore, our results suggest that the ensemble simulation is imperative to take into account the impact of the meteorological uncertainties on the haze prediction.

scholarly journals A Comprehensive Study of Talent Management Process adopted by Tata Consultancy Services (TCS)

2021 ◽  
pp. 267-281
Author(s):  
Laveena C. Crasta ◽  
Shailashri V. T.
Keyword(s):  
Talent Management ◽  
Global Market ◽  
Annual Reports ◽  
Management Process ◽  
Sources Of Information ◽  
Secondary Sources ◽  
The Right ◽  
The Impact ◽  
Comprehensive Study

Background /Purpose: Talent management is the kernel of human resource management, the process of procurement of the right people to be absorbed by a company based on its business requirements. The surge to absorb the right competency in the global market has forced every corporation to build a vibrant process to acquire the best, develop and engage the acquired effectively to achieve optimal results. This paper is a comprehensive study on acquiring information on the Talent Management process adopted by Tata Consultancy Services (TCS). Design/Methodology/Approach: This study is based on the data collected from secondary sources of information. The main sources of information are annual reports of the company and websites. It is an explorative research case study that aims at identifying the best practices in terms of the Talent Management process and to perform SWOC analysis. Findings/Result: Based on the study, TCS has a robust process in place not only to acquire the best talent but also to nurture the existing talent within the company. This well-established process has helped the company to have maximum employee retention, which is a great asset while considering the impact of human resourcefulness in the growth of the company. Originality/Value: This paper analyses and interprets the Talent Management model of TCS based on its past 5 financial years of data. Based on the findings and their interpretation, new knowledge in the form of recommendations/suggestions are presented. Paper Type: Company Analysis as a Research Case Study.

scholarly journals Statistical Analysis to find an Impact of Temperature on novel Coronavirus

2020 ◽  
Author(s):  
Chesta Dhingra
Keyword(s):  
New York ◽  
New York City ◽  
Statistical Analysis ◽  
Hot Spots ◽  
Statistical Test ◽  
Know How ◽  
Novel Coronavirus ◽  
The Impact ◽  
Statistical Results

The study tries to explain the impact of high temperature on the number of confirmed cases by excluding all measures that have been taken by specific governments in certain global hot spots like New York City, Lombardy, Madrid (Spain) and Maharashtra. Some statistical analysis like F-statistical test, ANOVA and t-test have been performed to know how much variance is there among the regions for the parameters 1) proportion of cumulative confirmed cases to the whole population and 2) mean temperature. The analysis includes graphs to have a clear visualization at a first glance for all four zones that have been taken for case study and ends with the all statistical results, discussion and conclusion of the tests that have been performed.

Sign in / Sign up

Export Citation Format

Share Document