Fishery Resources, Environment, and Conservation in the Mississippi and Yangtze (Changjiang) River Basins

2016 ◽  
Keyword(s):  
Mississippi River ◽  
River Restoration ◽  
River Flow ◽  
Mitigation Measures ◽  
Form And Function ◽  
Action Team ◽  
The World ◽  
Middle Mississippi River ◽  
Private Citizens ◽  
Sustainability Program

<em>Abstract</em>.—Ecosystem restoration of the Mississippi River main stem has been ongoing since the early 1970s. After the passage of environmental laws in the late 1960s to the early 1970s, private citizens and state and federal natural resource agency managers began to seek programs and funding for restoration and conservation that eventually resulted in mitigation measures of adverse impacts. Environmental-type actions that include the Great River Environmental Action Team, the Avoid and Minimize program, the middle Mississippi River biological opinion, and the lower Mississippi River conservation plan and biological opinion originated from laws or legal action. The Upper Mississippi River Restoration, Navigation and Ecosystem Sustainability Program, Restoring America’s Greatest River, and Operation and Maintenance activities, which support system ecological restoration measures, are, to a large extent, done in a cooperative setting to improve the river for multiple benefits. This coalition of agencies and professions has resulted in the application of hundreds of different types of measures to restore form and function to the third largest river in the world. Over the years, dredging and disposal practices have improved in an effort to minimize the impacts from these activities. Lost floodplain islands have been replaced, backwater lakes and channel depths have been recovered, active river flow has been reintroduced to backwaters, and microhabitats for special concern species have been restored, all to recreate broad functional floodplain habitat. Wing-dike and side-channel closure structures have been shortened, notched, or removed to recover flow along the main-channel border and side channels, increasing hydraulic residence time and recovering valuable habitat along with restoring nutrient and sediment assimilation processes the floodplain provides. Field monitoring has shown positive responses from endangered and threatened species, migratory and resident aquatic and wildlife species, abiotic conditions like water quality, and increased use by humans enjoying the benefit of a restored river system. Collectively, this work is some of the most extensive large river restoration in the world, but it only represents a small contribution to what is necessary to maintain a diverse and resilient Mississippi River. The information provided in this chapter provides a basis for continuing restoration efforts that should become a routine part of Mississippi River management.

Middle Mississippi River decision support system: user's manual

10.3133/tm6c1 ◽  
2005 ◽  
Author(s):  
Jason J. Rohweder ◽  
Steven J. Zigler ◽  
Timothy J. Fox ◽  
Steven N. Hulse
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Mississippi River ◽  
Middle Mississippi River

Economic Impact of COVID-19 Pandemic: Who are the Big Sufferers?

2020 ◽  
pp. 320-326
Keyword(s):  
Informal Economy ◽  
World Economy ◽  
Mitigation Measures ◽  
Economic Activities ◽  
Informal Workers ◽  
Indian Economy ◽  
The World ◽  
Daily Wage ◽  
Liberalisation Policy ◽  
The International Monetary Fund

The COVID-19 pandemic identified in Wuhan, China in December 2019, has spread almost to all the countries of the world. The mitigation measures imposed by most of the nations to prevent the spread of COVID-19 have badly hit the global economic activities. As per the latest estimates, the world economy is predicted to decline by 5.2 percent, and world trade is expected to drop by 13-32 percent in 2020 due to the COVID-19 pandemic. In this way it has created havoc in the world economy and the Indian economy is no exception. The International Monetary Fund (IMF) has estimated the Indian GDP growth at 1.9 percent and showed the worst growth performance of India after the liberalisation policy of 1991. According to the World Bank, the Indian economy will contract by 3.2 percent in 2020-21. Daily wage labourers and other informal workers, particularly migrant labourers of economically poor states were the worst hit during the lockdown period and will continue to be adversely affected even after the lockdown was relaxed. The paper suggested multiple measures to support the Indian economic and financial support to all the families of the informal economy workers to tide over this crisis.

Characterizing the effectiveness of COVID-19 mitigation measures: A data-centric approach (Preprint)

2020 ◽  
Author(s):  
Lukman Olagoke ◽  
Ahmet E. Topcu
Keyword(s):  
Control Measure ◽  
Control Measures ◽  
World Health ◽  
Mitigation Measures ◽  
Effective Control ◽  
The World ◽  
Decision Making Processes ◽  
And Performance ◽  
Health Organization ◽  
The Impact

BACKGROUND COVID-19 represents a serious threat to both national health and economic systems. To curb this pandemic, the World Health Organization (WHO) issued a series of COVID-19 public safety guidelines. Different countries around the world initiated different measures in line with the WHO guidelines to mitigate and investigate the spread of COVID-19 in their territories. OBJECTIVE The aim of this paper is to quantitatively evaluate the effectiveness of these control measures using a data-centric approach. METHODS We begin with a simple text analysis of coronavirus-related articles and show that reports on similar outbreaks in the past strongly proposed similar control measures. This reaffirms the fact that these control measures are in order. Subsequently, we propose a simple performance statistic that quantifies general performance and performance under the different measures that were initiated. A density based clustering of based on performance statistic was carried out to group countries based on performance. RESULTS The performance statistic helps evaluate quantitatively the impact of COVID-19 control measures. Countries tend show variability in performance under different control measures. The performance statistic has negative correlation with cases of death which is a useful characteristics for COVID-19 control measure performance analysis. A web-based time-line visualization that enables comparison of performances and cases across continents and subregions is presented. CONCLUSIONS The performance metric is relevant for the analysis of the impact of COVID-19 control measures. This can help caregivers and policymakers identify effective control measures and reduce cases of death due to COVID-19. The interactive web visualizer provides easily digested and quick feedback to augment decision-making processes in the COVID-19 response measures evaluation. CLINICALTRIAL Not Applicable

A REVIEW ON OVERVIEW OF ETHICAL HACKING

2021 ◽  
Vol 6 (4) ◽  
Author(s):  
Vaishnavi Bhagwat Savant ◽  
Rupali D. Kasar ◽  
Priti B. Savant
Keyword(s):  
Cloud Computing ◽  
Credit Card ◽  
Dark Side ◽  
The Internet ◽  
The People ◽  
The World ◽  
Private Citizens ◽  
E Mail

The explosive growth of the Internet has brought many good things such as E-commercebanking, E-mail, cloud computing, but there is also a dark side such as Hacking, Backdoors, Trapdoors etc. Hacking is the first big problem faced by Governments, companies, and private citizens around the world. Hacking means reading email’s of someone, stealing passwords, stealing credit card numbers etc. An ethical hacker is one who can help the people who are suffered by this hackings. This paper describes about Ethical hackers, it’s types and phases of hacking

Survival of fish passing downstream at a small hydropower facility

2018 ◽  
Vol 69 (12) ◽  
pp. 1870 ◽  
Author(s):  
Stephen V. Amaral ◽  
Benjamin S. Coleman ◽  
Jenna L. Rackovan ◽  
Kelly Withers ◽  
Benjamin Mater
Keyword(s):  
Mississippi River ◽  
River Flow ◽  
Survival Rates ◽  
Fish Populations ◽  
Negative Effects ◽  
Small Hydropower ◽  
The Usa ◽  
Pass Through ◽  
Hydro Project ◽  
Total Project

Hydropower dams can negatively affect upstream and downstream migratory fish populations in many ways, such as blocking access to upstream habitats and causing injuries or mortality during downstream passage. For downstream passage at projects in the USA, federal regulators and agencies responsible for oversight of hydropower facilities typically require assessment studies and mitigation to address negative effects, with a primary goal of minimising fish impingement and turbine entrainment and mortality. So as to assess the effects of downstream passage of fish populations at a unique, small hydro project on the Mississippi River, impingement and entrainment rates, Oberymeyer gate passage, spillway gate passage, turbine survival, and total downstream passage survival were estimated. It was determined that 85% of fish passing downstream at the project would be small enough to pass through the bar spacing of the trash racks and 15% would be physically excluded. When 55% of river flow enters the turbine intake channel, the total project survival rates were estimated to be 77.3% with an Obermeyer gate bypass rate of 10 and 96.6% with a gate bypass rate of 90%. Therefore, any effects on local fish populations resulting from the operation of the project are expected to be negligible and inconsequential on the basis of expected survival rates for the range and probability of river flows occurring at the project.

scholarly journals Leveraging Rich Data and Machine Learning to Facilitate Policy Making on Public Health Interventions in Fighting to Contain the COVID-19 Pandemic

2020 ◽  
Author(s):  
Robin Qiu
Keyword(s):  
Public Health ◽  
Machine Learning ◽  
Public Health Intervention ◽  
Research Direction ◽  
Health Interventions ◽  
Mitigation Measures ◽  
Public Health Interventions ◽  
Short Article ◽  
The World ◽  
Rich Data

<p>This is a short article, focusing on promoting more study on SEIR modeling by leveraging rich data and machine learning. We believe that this is extremely critical as many regions at the country or state/provincial levels have been struggling with their public health intervention policies on fighting the COVID-19 pandemic. Some recent published papers on mitigation measures show promising SEIR modeling results, which could shred the light for other policymakers at different community levels. We present our perspective on this research direction. Hopefully, we can stimulate more studies and help the world win this “war” against the invisible enemy “coronavirus” sooner rather than later. </p>

scholarly journals Uncertainty analysis of monthly river flow modeling in consecutive hydrometric stations using integrated data-driven models

2021 ◽  
Author(s):  
Karim Amininia ◽  
Seyed Mahdi Saghebian
Keyword(s):  
Data Processing ◽  
Uncertainty Analysis ◽  
Mississippi River ◽  
River Flow ◽  
Ensemble Empirical Mode Decomposition ◽  
Multivariate Adaptive Regression Splines ◽  
Applied Model ◽  
Flood Warning ◽  
Mode Decomposition ◽  
Artificial Intelligence Models

Abstract The flow assessment in a river is of vital interest in hydraulic engineering for flood warning and evacuation measures. To operate water structures more efficiently, models that forecast river discharge are desired to be of high precision and certain degree of accuracy. Therefore, in this study, two artificial intelligence models, namely kernel extreme learning machine (KELM) and multivariate adaptive regression splines (MARS), were applied for the monthly river flow (MRF) modeling. For this aim, Mississippi river with three consecutive hydrometric stations was selected as case study. Using the previous MRF values during the period of 1950–2019, several models were developed and tested under two scenarios (i.e. modeling based on station's own data or previous station's data). Wavelet transform (WT) and ensemble empirical mode decomposition (EEMD) as data processing approaches were used for enhancing modeling capability. Obtained results indicated that the integrated models resulted in more accurate outcomes. Data processing enhanced the model's capability up to 25%. It was observed that the previous station's data could be applied successfully for MRF modeling when the station's own data were not available. The best-applied model dependability was assessed via uncertainty analysis, and an allowable degree of uncertainty was found in MRF modeling.

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