scholarly journals Analyses of River Oil-Spills and Actual Solving Methods

2021 ◽  
Vol 15 (1) ◽  
pp. 108-111
Author(s):  
Kisfaludi-Bak Zsombor
Keyword(s):  
Water Pollution ◽  
Water Quality ◽  
Oil Spills ◽  
Oil Pollution ◽  
Entire Country ◽  
Solution Methods ◽  
The Many ◽  
Pollution Events ◽  
Shed Light

Abstract Nowadays, there is an increasing emphasis on the problem of water quality. Of the many polluting effects, oil pollution is perhaps the most harmful, but its effects are being studied mostly on large seas and oceans worldwide. In the case of Transylvania and probably the entire country, pollution of rivers by oil – based on yearly occurrence – has a larger effect than that of sea pollution. Every year we observe 40-55 such water pollution events, therefore, analysis and investigation of solution methods is of great importance. This paper attempts to shed light on this issue, presenting also the method currently used by the Romanian Water Authority.

Water Quality of Lake Iskanderkul and Its Tributaries

2020 ◽  
Vol 6 (2) ◽  
pp. 79-88
Author(s):  
Z.O. Normakhmedova ◽  
◽  
A.V. Mitusov
Keyword(s):  
Water Pollution ◽  
Water Quality ◽  
Chemical Composition ◽  
Fish Farming ◽  
Natural Phenomena ◽  
Change Dynamics ◽  
Chemical Composition Of Water ◽  
Study Results ◽  
Copper Zinc

This article presents the study results of the change dynamics in the chemical composition of water in Lake Iskanderkul and the rivers flowing into it, as well as the comparison of water quality in the water bodies of the Iskanderkul Basin and several mid-stream tributaries of the Zarafshan River. It was established that the chemical composition of water in Lake Iskanderkul and its tributaries meets the requirements of the corresponding state standard (GOST 2874-82 “Drinking Water”). However, in terms of dissolved oxygen, copper, zinc, lead and iron the water in Lake Iskanderkul does not satisfy fish farming requirements. The main water pollution sources in the area include such natural phenomena as floods, avalanches, mudslides, and rock dissolution.

Applying machine learning to satellite imagery and vessel-tracking data to detect chronic oil pollution from ships at sea and identify the polluters

2021 ◽  
Author(s):  
Jona Raphael ◽  
Ben Eggleston ◽  
Ryan Covington ◽  
Tatianna Evanisko ◽  
Sasha Bylsma ◽  
...  
Keyword(s):  
Machine Learning ◽  
Oil Spills ◽  
Oil Pollution ◽  
Satellite Image ◽  
Petroleum Products ◽  
Training Data ◽  
Automatic Identification ◽  
Identification System ◽  
Sar Imagery ◽  
Pollution Events

<p><strong>Operational oil discharges from ships</strong>, also known as “bilge dumping,” have been identified as a major source of petroleum products entering our oceans, cumulatively exceeding the largest oil spills, such as the Exxon Valdez and Deepwater Horizon spills, even when considered over short time spans. However, we still don’t have a good estimate of</p><ul><li>How much oil is being discharged;</li> <li>Where the discharge is happening;</li> <li>Who the responsible vessels are.</li> </ul><p>This makes it difficult to prevent and effectively respond to oil pollution that can damage our marine and coastal environments and economies that depend on them.</p><p> </p><p>In this presentation we will share SkyTruth’s recent work to address these gaps using machine learning tools to detect oil pollution events and identify the responsible vessels when possible. We use a convolutional neural network (CNN) in a ResNet-34 architecture to perform <strong>pixel segmentation</strong> on all incoming <strong>Sentinel-1 synthetic aperture radar</strong> (SAR) imagery to classify slicks. Despite the satellites’ incomplete oceanic coverage, we have been detecting an average of <strong>135 vessel slicks per month</strong>, and have identified several geographic hotspots where oily discharges are occurring regularly. For the images that capture a vessel in the act of discharging oil, we rely on an <strong>Automatic Identification System</strong> (AIS) database to extract details about the ships, including vessel type and flag state. We will share our experience</p><ul><li>Making sufficient training data from inherently sparse satellite image datasets;</li> <li>Building a computer vision model using PyTorch and fastai;</li> <li>Fully automating the process in the Amazon Web Services (AWS) cloud.</li> </ul><p>The application has been running continuously since August 2020, has processed over 380,000 Sentinel-1 images, and has populated a database with more than 1100 high-confidence slicks from vessels. We will be discussing <strong>preliminary results</strong> from this dataset and remaining challenges to be overcome.</p><p> </p><p>Our objective in making this information and the underlying code, models, and training data <strong>freely available to the public</strong> and governments around the world is to enable public pressure campaigns to improve the prevention of and response to pollution events. Learn more at https://skytruth.org/bilge-dumping/</p>

Bacterial Source Tracking of Nonpoint Source Pollution Using GIS and DNA Fingerprinting Technologies

2011 ◽  
pp. 208-223
Author(s):  
M. E. Folkoff ◽  
E. A. Venso ◽  
D. W. Harris ◽  
M. F. Frana ◽  
M. S. Scott
Keyword(s):  
Water Pollution ◽  
Water Quality ◽  
Dna Fingerprinting ◽  
Physical Environment ◽  
Nonpoint Source ◽  
Point Sources ◽  
Source Tracking ◽  
Great Promise ◽  
Bacterial Source Tracking

This study is only the second to use DNA fingerprinting technology in Maryland to identify fecal coliform sources in order to guide the implementation of water pollution control practices in a watershed with bacterial impairment. By combining the use of digital air photos and GPS with GIS, fieldwork is planned and conducted more efficiently because sample sites can be selected that accurately represent the physical environment of the study area. We can also return to the field and find our sample sites or locate new ones, even in the remotest part of the study area. It is also possible to more accurately map the data directly in the context of its physical environment, greatly increasing the quality of analysis. The integration of DNA fingerprinting techniques with GIS shows great promise for extending our capabilities to identify the controls on water quality and point sources of waterborne health hazards.

A framework of characteristics identification and source apportionment of water pollution in a river: a case study in the Jinjiang River, China

2012 ◽  
Vol 65 (11) ◽  
pp. 2071-2078 ◽  
Author(s):  
Haiyang Chen ◽  
Yanguo Teng ◽  
Jinsheng Wang
Keyword(s):  
Water Pollution ◽  
Water Quality ◽  
Source Apportionment ◽  
Comprehensive Evaluation ◽  
Principal Component ◽  
Anthropogenic Pollution ◽  
Ammonia Nitrogen ◽  
Support Vector ◽  
Jinjiang River

A framework for characteristics identification and source apportionment of water pollution in the Jinjiang River of China was proposed in this study for evaluation. A total of 114 water samples which were generated between May 2009 and September 2010 at 13 sites were collected and analysed. First, support vector machine (SVM) and water quality pollutant index (WQPI) were used for water quality comprehensive evaluation and identifying characteristic contaminants. Later, factor analysis with nonnegative constraints (FA-NNC) was employed for source apportionment. Finally, multi-linear regression of the absolute principal component score (APCS/MLR) was applied to further estimate source contributions for each characteristic contaminant. The results indicated that the water quality of the Jinjiang River was mainly at the third level (65.79%) based on national surface water quality permissible standards in China. Ammonia nitrogen, total phosphorus, mercury, iron and manganese were identified as characteristic contaminants. Source apportionment results showed that industrial activities (63.16%), agricultural non-point source (16.50%) and domestic sewage (12.85%) were the main anthropogenic pollution sources which were influencing the water quality of Jinjiang River. This proposed method provided a helpful framework for conducting water pollution management in aquatic environment.

scholarly journals Effects of Dumping Solid Waste on Water Quality of Surface Water Bodies

2021 ◽  
Vol 1 (1) ◽  
pp. 21-24
Author(s):  
Afshan Urooj ◽  
Rida Ilyas ◽  
Nimrud Humayun Humayun
Keyword(s):  
Water Pollution ◽  
Water Quality ◽  
Surface Water ◽  
Solid Waste ◽  
Water Reservoir ◽  
Surface Water Quality ◽  
Waterborne Diseases ◽  
Water Parameters ◽  
Surface Water Bodies

Water pollution has been a hot debate for government and scientists. in addition, protecting river water quality is exceedingly immediate because of serious water pollution and global scarcity of water reservoir. This study was conducted to assess the effect of solid waste dumping on surface water quality. In return to achieve this, water samples were obtained in different months from site. Below site was selected due to the dumps on surface water. Water parameters pH, turbidity conductivity and temperature were determined using pH/conductivity meter, Most the values are within the permissible limits, but all the samples do not fulfill WHO requirements, site may have effects on human health due to waterborne diseases and on soil fertility.

scholarly journals SPATIAL DATABASE DEVELOPMENT FOR OIL SPILLS POLLUTION AFFECTING WATER QUALITY SYSTEM IN NIGER DELTA

2019 ◽  
Vol XLII-4/W16 ◽  
pp. 645-657
Author(s):  
H. A. Umar ◽  
M. F. Abdul Khanan ◽  
A. Ahmad ◽  
M. J. Sani ◽  
M. Z. Abd Rahman ◽  
...  
Keyword(s):  
Water Quality ◽  
Data Base ◽  
Oil Spill ◽  
Niger Delta ◽  
Oil Spills ◽  
Oil Pollution ◽  
Kernel Density ◽  
Data Base Design ◽  
Entity Relationship ◽  
Er Diagram

Abstract. The effects of oil spills in the Niger Delta has caused unending menace to the quality of drinking water in most wells and boreholes of the area as most of the wells are shallow and are susceptible to contamination due to the nature of its Geology. The aim of this paper is to develop a database on how oil spills affects water quality which is one of the most crucial resources in the Niger Delta. The study uses existing oil spills data to show the areas and extent of oil pollution in the Niger Delta. Geospatial analysis was used to design an oil spill data base comprising the logical, physical, and conceptual data base design. Visio was used for the design of the entity relationship (ER) diagram of the study. The Kernel density and Getis-Ord G* statistic were used in GIS to map the oil spill areas in the region. Results of spatial spill distribution from the Kernel density and Getis-Ord G* statistic revealed that three states of the Niger Delta namely, Bayelsa, Rivers, and Delta states are the hottest spots for oil spill occurrences and distribution. The ER chart showed the relationships between the pollution sources, their pathways, and the receptors. The ER diagram developed could be of significance to environmentalists and other stakeholders in understanding the processes through which contaminants get to the various compartments of the earth system.

scholarly journals Status of water use and water quality in the Khanka Lake basin

2020 ◽  
Author(s):  
Л.В. ГОРБАТЕНКО
Keyword(s):  
Water Quality ◽  
Water Use ◽  
Industrial Sector ◽  
Point Sources ◽  
Small Rivers ◽  
Pollution Indices ◽  
Lake Basin ◽  
Industrial Enterprises ◽  
The Many

Для отдельных муниципальных территорий, расположенных в бассейне оз. Ханка, проведена комплексная оценка водопользования, в том числе точечных сбросов загрязняющих веществ предприятиями-водопользователями. Описан состав этих сбросов с указанием характерных для каждой территории и производственной отрасли загрязняющих веществ. Установлены водотоки с наибольшими объемами сбросов. Показано, что самыми загрязненными на протяжении многих лет являются небольшие реки с низкой самоочищающей способностью. Анализируются современные и ретроспективные особенности качественного состава речных вод бассейна в целом, приводится оценка динамики качества отдельных водотоков по удельным комбинаторным индексам загрязнения вод (УКИЗВ). At the level of municipal territories a comprehensive assessment of water use in the Khanka Lake basin, including point sources of polluting substances discharge by water use industrial enterprises, has been conducted. The composition of sewage with an indication of distinctive pollutants for every territory and industrial sector is analyzed. Watercourses for which the volumes of pollutants discharges are the largest are identified. The most polluted of them over the many years are shown to be the small rivers with low self-cleaning capability. The modern and retrospective features of the river water quality in the Khanka Lake basin are analyzed, and the dynamics of the quality of some watercourses using calculated pollution indices is estimated.

Analysis of Water Quality in Batujai Reservoir Due to Community and Business Activities in Central Lombok Regency

2021 ◽  
Vol 12 (1) ◽  
pp. 30
Author(s):  
Supardiono SUPARDIONO ◽  
Wayan ARTHANA ◽  
Wayan Sandi ADNYANA ◽  
Wayan Budiarsa SUYASA ◽  
Nyoman SUDIPA
Keyword(s):  
Water Pollution ◽  
Water Quality ◽  
Quality Standard ◽  
Water Bodies ◽  
Class Iii ◽  
Domestic Waste ◽  
Reservoir Water ◽  
Water Quality Standard ◽  
The People

The development of an area must be accompanied by an ever-increasing population growth which will also increase the waste produced. Waste production will put pressure on the environment if it is not managed properly which will eventually end up in water bodies. The increased pollution load is also caused by the habit of people disposing of domestic waste, both liquid waste and solid waste directly into the water. Batujai Reservoir is one of the vital objects for the survival of the people of Central Lombok in particular, and the people of Lombok Island in general. Because of its vital role, the Batujai Reservoir needs to be saved so that the reservoir ecosystem can carry out its functions and benefits in improving the welfare of the people of Central Lombok. There are several community activities that are a source of direct reservoir water pollution (point source) such as fishing activities using floating net cages and disposal of domestic waste by the community which is directly channeled to water bodies. Pollutants collected in the Batujai Reservoir will reduce the water quality of the Batujai Reservoir. This research aims to analyze the water quality of the Batujai Reservoir which is caused by business activities and the community based on Government Regulation Number 82 of 2001 and to determine the water pollution index of the Batujai Reservoir. This study uses a quantitative approach by collecting primary data from direct observations in the field and secondary data based on previous research reports and government reports. The results showed that the average physical parameters were above the water quality standard threshold for class II water quality, the average chemical parameters were above the water quality standard for class III and class IV water quality, while the biological parameters were above the threshold. Water quality limits for class II and class III. The decline in water quality in the Batujai Reservoir is caused by various wastes entering the Batujai Reservoir water bodies. The analysis result with storet system shows that the water quality of Batujai Reservoir is in bad condition or heavily polluted.

REGULATORY APPROACHES TO OILS UNDER THE FEDERAL WATER POLLUTION CONTROL ACT AND THE OIL POLLUTION ACT OF 19901

1997 ◽  
Vol 1997 (1) ◽  
pp. 51-58
Author(s):  
Walter M. Hunt ◽  
J. Gregory Parks
Keyword(s):  
Water Pollution ◽  
Environmental Protection ◽  
Environmental Protection Agency ◽  
Oil Spills ◽  
Oil Pollution ◽  
Pollution Prevention ◽  
Coast Guard ◽  
Regulatory Regime ◽  
Special Programs ◽  
Executive Agencies

ABSTRACT This paper outlines the harmful effects on marine environments of nonpetroleum and petroleum oil spills. The current regulatory regime, as applied by U.S. government agencies concerned with pollution prevention and response, has evolved over the course of a half century through legislative and administrative actions. Congress has been active in setting the stage by passing numerous federal statutes dealing with water pollution. Executive agencies such as the Coast Guard, the Environmental Protection Agency (EPA), and the Department of Transportation's Research and Special Programs Administration (RSPA) have also acted in this area, promulgating regulations to implement the congressional mandates. This paper focuses on the development of the current regulatory regime by examining water pollution statutes passed by Congress since 1924. It then examines how the Coast Guard, the EPA, and RSPA have interpreted their mandates, especially as they relate to nonpetroleum oils under water pollution prevention statutes in various implementing regulations. This paper is based on a paper prepared by the authors for the Coast Guard's Chief of Marine Safety and Environmental Protection.

Utilizing GIS in the Development of Water Quality River Modeling for Penchala River, Malaysia

2014 ◽  
Vol 580-583 ◽  
pp. 2078-2081
Author(s):  
Faridah Othman ◽  
Alaa Eldin Mohamed Elamin ◽  
Siti Azireen Hezza Azahar ◽  
Siti Asiah Muhammad
Keyword(s):  
Water Pollution ◽  
Water Quality ◽  
Urban Areas ◽  
Catchment Area ◽  
Storm Water ◽  
Rapid Manufacturing ◽  
Quality Model ◽  
Digital Map ◽  
River Modeling

The quality of river water has been an important issue, due to its significant important function to the human being. In Asia, Malaysia is considered as one of the most speedily urbanizing countries and it’s facing huge environmental challenges. An increased pressure on urban areas has been generated by rapid manufacturing especially in the Penchala River Basin. Penchala River originates from Kiara Hill and passes through several important townships as it flows through residential and industrial areas before meeting with Klang River. Although the river is relatively short, with an approximately 12 km in length with a catchment area of 28 kilometer square, this catchment is noted to be under environmental stress emanating from storm water pollution, solid waste, sedimentation and micro-pollutant. To study the water pollution issue, it is always best if it is tied up with the geographic information system. The objective of this study is to use the GIS for preparing and organizing the geometric data to satisfy the water quality model requirements. As a result of this study, a digital map for Penchala River has been created.

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