Digital Commons Network^™

Integrating Wildfires Propagation Prediction Into Early Warning Of Electrical Transmission Line Outages, Songyi Dian, Peng Cheng, Qiang Ye, Jirong Wu, Ruisen Luo, Chen Wang, Dafeng Hui, Ning Zhou, Dong Zou, Qin Yu, Xiaofeng Gong

Biology Faculty Research

Wildfires could pose a significant danger to electrical transmission lines and cause considerable losses to the power grids and residents nearby. Previous studies of preventing wildfire damages to electrical transmission lines mostly analyze wildfire and power system security independently due to their differences in disciplines and cannot satisfy the requirement of the power grid for active and timely responses. In this paper, we have designed an integrated wildfire early warning system framework for power grids, taking prediction of wildfires and early warning of line outage probability together. First, the proposed model simulates the spatiotemporal process of wildfires via a geography …

Sea Level Rise And Land Subsidence In Coastal Louisiana: Forecasting, Mapping And Identification Of At-Risk Transportation Infrastructure, Sanjay Tewari, Francis Manning, Wesley Palmer

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

The coast of Louisiana is under threat because of sea level rise and land subsidence. Sea water is encroaching deeper inland and as a result Louisiana is losing land at an alarming rate. The combined effect of sea level rise and land subsidence is variable spatially. This paper focuses on this combined effect in identifying the transportation infrastructure that is at risk of getting affected by the seawater inundation of the land.

This paper attempts to account for land elevation data monitored continuously at various locations along the coast of Louisiana and combining it with local sea level rise to …

Framework For Evaluation Of Flash Flood Models In Wildfire-Prone Areas, Brian Cunningham, David Benepe, Bryan Cikatz, Evangelos Giakoumakis

SMU Data Science Review

Abstract. In this paper, we present an innovative framework for evaluating the increased risk of flash flooding in areas that have been subjected to wildfires. Wildfires cause large-scale damage to an area’s soil and vegetation thus increasing both the likelihood and severity of flash flooding. Utilizing remote sensing to analyze aerial imagery of areas that have been affected by wildfires, we can investigate how much a landscape has changed and how that may adversely affect downstream areas in the event of a flash flooding event. There are currently no established frameworks from which downstream local officials can quickly assess the …

Pedestrian Safety -- Fundamental To A Walkable City, Joshua Herrera, Patrick Mcdevitt, Preeti Swaminathan, Raghuram Srinivas

SMU Data Science Review

In this paper, we present a method to identify urban areas with a higher likelihood of pedestrian safety related events. Pedestrian safety related events are pedestrian-vehicle interactions that result in fatalities, injuries, accidents without injury, or near--misses between pedestrians and vehicles. To develop a solution to this problem of identifying likely event locations, we assemble data, primarily from the City of Cincinnati and Hamilton County, that include safety reports from a five year period, geographic information for these events, citizen survey of pedestrian reported concerns, non-emergency requests for service for any cause in the city, property values and public transportation …

1920 - Irrigation Of Twelve Million Acres In The Valley Of California; Robert Bradford Marshall

Miscellaneous Documents and Reports

By 1920, California's potential wealth in land reached into billions of dollars; 12,000,000 acres of available agricultural lands remained practically untouched. Marshall proposed a large plan that would make the Valley of California the world's greatest garden. The engineering plans for such a project must be comprehensive, for their execution must not only assure the complete reclamation of 12,000,000 acres of valley lands but must also effectively and forever control the river floods and insure safe and continuous river navigation throughout the year. The hydro-electric current generated along most of the streams would furnish all the power necessary for construction …

1939 - A History Of The Water Resources Branch, Us Geological Survey, Volume I, From Predecessor Surveys To June 30, 1919

Miscellaneous Federal Documents & Reports

By 1938, the systematic studies of the water resources of the country and, therefore, the antecedents of the Water Resources Branch of the USGS were 50 years old. The history of the Water Resources Branch presents the struggle to reach into the unknown and, by the development of methods and instruments as well as the training of personnel to create a new art and a new science. This is Volume I of a six volume chronological summaries of the activities and achievements of the Water Resources Division of the U.S. Geological Survey.

Complex Network Modeling And Visualization Analysis For Ocean Observation Data, Sun Xin, Zhenhua Li, Junyu Dong, Xinyan Luo, Yuting Yang

Journal of System Simulation

Abstract: Ocean data analysis is one of the important foundations in marine science research. Analysis on the sea surface temperature based on complex network theory helps explore the marine dynamics in a new perspective. The ocean is divided into grids, and the annual average of the sea surface temperature is calculated to reflect the properties of the corresponding grid area. The mutual information and the Pearson correlation coefficient are used to measure the similarity between different areas. The nonlinear and linear complex network models which reflect the station of the global marine climate can be built. Finally some popular measures …

Airframe Damage Region Division Evaluation Method Based On Boundary Grid Gradient, Shuyu Cai, Lizhong Shi

Journal of System Simulation

Abstract: In order to provide decision support for efficiently choosing and evaluating airframe damage region division methods, the characteristic of airframe damage region was analyzed, evaluating indicator of damage image division-boundary grid gradient was established. By introducing entropy method, combining with indicator of boundary grid gradient, the optimization of TOPSIS was presented, and the evaluation system of airframe damage region division was completely established. Airframe damage region division evaluation experiments were performed by different gray level entropy threshold of damage division image. Experimental results showed that, the proposed method efficiently represented division status of damage adjacency region, and avoided the …

Modeling And Simulation Of Travelers’ Route Choice Behavior Based On Disequilibrium Theory, Zhongxiang Huang, Jianhui Wu, Aiwu Kuang, Zhang Sheng, Xu Yan

Journal of System Simulation

Abstract: Considering the influence of heterogeneous travel on traffic flow distribution, the travelers’ route choice behaviors are classified into three types: price regulation, quantity regulation and price-quantity regulation. Three day-to-day dynamical stochastic assignment models based on the disequilibrium theory are established, and the existence, uniqueness, and stability of the solutions to these models are proved. Through model simulation, it proved that each path flow in these three models can converge to a steady state after a finite travel adjustment, and the day-to-day dynamical stochastic assignment model under price-quantity regulation can simulate the influence of heterogeneous travel behaviors on the distribution …

Application Of Multiple-Stepwise And Kalman Filtering In Haze Forecast, Yunhao Xian, Hengde Zhang, Yonghua Xie, Le Yang

Journal of System Simulation

Abstract: Considering the importance of objective haze forecast and the low accuracy rate of haze forecast, a new haze objective forecast correction method based on the multiple stepwise regression algorithms and the Kalman filtering algorithm is proposed. The multiple stepwise regression method is used to control the physical factor of the dependent variable, and the visibility forecast equation is established. The Kalman filtering method is adopted to correct the regression coefficient in multivariate stepwise regression algorithm according to the actual data, and the haze objective forecast correction model is established. The experiments are carried out in Beijing, Guangzhou, Nanjing and …

2018 - Status And Understanding Of Groundwater Quality In The Monterey-Salinas Shallow Aquifer Study Unit, 2012-13 - California Gama Priority Basin Project

Miscellaneous Monterey and San Luis Obispo County Documents and Reports

The study was designed to provide a statistically robust assessment of untreated-groundwater quality in the shallow aquifer systems. The assessment was based on water-quality samples collected by the U.S. Geological Survey from 100 groundwater sites and 70 household tap sites, along with ancillary data such as land use and well-construction information. The shallow aquifer systems were defined by the depth interval of wells associated with domestic supply. The Monterey-Salinas Shallow Aquifer study unit consisted of four study areas—Santa Cruz (210 km2), Pajaro Valley (360 km2), Salinas Valley (2,000 km2), and Highlands (5,250 km2).

The first primary component of this study—the …

Evaluation Model On The Vulnerability Of Mining Area Ecosystem Based On Object-Function Petri Net, Su Jia, Guangqiu Huang

Journal of System Simulation

Abstract: Introducing the concept of function into traditional object Petri net, a new evaluation model of ecosystem vulnerability named object-function Petri net model (OFPNEM) was put forward. The facilitating and suppressing factors of the ecosystem degradation were analyzed in this evaluation model. Trigger conditions of vulnerability were depicted as transitions and the state of ecosystem in the process of change were depicted as object places. Logical causality of environmental degradation could be represented directly. Furthermore, evaluation model on the vulnerability of mining area ecosystem based on object-function Petri net was proposed. Through object-function Petri net, combining the rules of model, …

Simulation Of Influence Of Coal-Based Industry On Water Resources Bearing System, Yalin Chen, Wangsheng Gui, Qianjin Dong, Ye Chun, Haotian Wu

Journal of System Simulation

Abstract: The contradictory spatial distribution between China's coal resources and water resources has become the stress to sustainable development of regional ecological environment and social economy. The paper presents interactive simulation model of regional water resources bearing system based on System Dynamics; and then Ningxia Hui Autonomous Region is used as an example, the dynamic process of local water bearing system was simulated under different scenarios of planning. The simulation results show that regional sustainable development of water resources would be achieved if the resources are allocated based on the market, while the gap between supply and demand of regional …

2015 - Preliminary Engineering Design Report For Control Of Non-Winter Drainage At Carr Lake

Monterey County Water Resources Agency Engineering Reports

Landowners at Carr Lake reported increasing issues with proper drainage of the agricultural fields that made up the vast majority of the former lake bed. The primary driver of the study was the recognition that a more complete understanding of the site topography and hydrology is necessary, both to frame the pertinent issues and to identify any measures that may be appropriate to enhance drainage in the ditch system. Therefore the project work plan included two main fieldwork components, topographic survey and hydrologic monitoring. The fieldwork was followed up by data post processing, mapping, and associated supporting analyses.

Work was …

Association Rules Analysis Method Of Spatial Data Under Mapreduce Framework, Mingzhi Zhang, Li Yi

Journal of System Simulation

Abstract: Spatial data has the characteristic of extensity, timeliness, multidimensional, large amount of data and complex relations. Some non-conventional data screening tool for analysis and mining is required to find out the patterns, rules and characteristics knowledge in the spatial big data for battlefield situation awareness and battle space management. In view that the existing Apriori algorithm scans the database too frequently, the Apriori algorithm is improved on the basis of working principle of Map Reduce .The fast analysis ideas and technologyframework of spatial data is proposed. An elementary validate prototype is built for the key technology experimentation.Experimental results …

Simulation Optimization On Multi-Ports Slot Plan Problem Considering Dispatching Sequence Of Containers In Yard, Zhang Yu, Huimin Cheng, Xu Jin, Tian Wei, Junfeng Sun

Journal of System Simulation

Abstract: The multi-ports slot plan problem considering dispatching sequence of containers in yard is solved by an integer linear programming model, which minimizes heeling moment. The influences of different dispatching rules on solving the problem are simulated and analyzed through the programming model. Accordingly, a simulation optimization model based on genetic algorithm is constructed in order to enhance the computational efficiency. The simulation optimization model simulates the process of dispatching containers and loading vessel. The feasible solution is constructed through rules sets and inputted into the optimization model. An efficient encoding and decoding solutions are developed in genetic algorithm, …

2002 - North Monterey County Comprehensive Water Resources Management Plan

Monterey County Water Resources Agency Water Reports

North Monterey County experiences severe water supply and quality problems including falling water levels, seawater intrusion, and nitrate contamination. The region is in a significant state of overdraft where current demands greatly exceed the annual level of recharge. Without increased supplies, dramatic changes need to occur to the North County land use pattern to reduce demand. The Comprehensive Water Resources Management Plan combines water conservation, water supply, water quality, and land use actions into comprehensive policy alternatives. It is clear, however, that capital facilities are necessary if the problem is to be solved.

The study area overlies a portion of …

Simulation Of Mosaic Picture Based On Compact Distribution Synthesis Of Element, Chen Jie, Yang Gang, Yang Meng

Journal of System Simulation

Abstract: A new method that can rapidly synthesize the compact distribution of diverse types of elements is proposed to realize the simulation of mosaic. The Voronoi diagram is adoptedto segment the distribution region, and each part represents a space occupied by a graphic element to realize the compact distribution of graphic elements. In the process of generating Voronoi diagram, five different distance metrics are used to control the shape of the Voronoi polygon for achieving the compact distribution of the five different shapes. The method can generate graphic element distribution with scale and direction variations so as to simulate the …

Twenty-Three Unsolved Problems In Hydrology (Uph) – A Community Perspective, Günter Blöschl, Christopher M. U. Neale, A Cast Of Thousands

Daugherty Water for Food Global Institute: Faculty Publications

This paper is the outcome of a community initiative to identify major unsolved scientific problems in hydrology motivated by a need for stronger harmonisation of research efforts. The procedure involved a public consultation through online media, followed by two workshops through which a large number of potential science questions were collated, prioritised, and synthesised. In spite of the diversity of the participants (230 scientists in total), the process revealed much about community priorities and the state of our science: a preference for continuity in research questions rather than radical departures or redirections from past and current work. Questions remain focused …

Exploring The Challenges To Sustainable Rural Drinking Water Services In Chile, Jami Nelson-Nuñez, Jeffrey P. Walters, Denisse Charpentier

Faculty Publications - Biomedical, Mechanical, and Civil Engineering

Many countries around the world now face the dual challenges of closing the remaining gaps in access to drinking water in rural areas while further addressing the issues of equity, quality, and sustainability outlined in the new Sustainable Development Goals (SDGs). Our research explores the key factors for sustainability in rural drinking water services in Chile, an important example not only due to its success in rural water access but also because of the new directions the country is taking to achieve the SDGs. Drawing on results from a Delphi study of Chilean rural water experts, we discuss the most …

Year-Round-Based Optimization Of High-Low Control In The Regenerative Indirect Evaporative Cooler (Riec), Huaxia Yan, Yi Chen, Weilong Zhang

Faculty of Science & Technology (THEi)

The performance of the regenerative indirect evaporative cooler (RIEC) highly depends on ambient temperature and humidity. To maintain indoor thermal comfort, proper control strategy is essential. Previous research indicates that high–low (H-L) control by using multispeed technology is superior to the conventional on–off control in terms of energy consumption and thermal comfort. Under H-L control, a fan switches between a high speed and a low speed. The high speed is determined by the peak load. However, the selection of low speed involves a great sense of subjectivity. Therefore, the influence of low speed on system performance is comprehensively investigated and …

Predicting Customer Retention Of An App-Based Business Using Supervised Machine Learning, Jeswin Jose

Dissertations

Identification of retainable customers is very essential for the functioning and growth of any business. An effective identification of retainable customers can help the business to identify the reasons of retention and plan their marketing strategies accordingly. This research is aimed at developing a machine learning model that can precisely predict the retainable customers from the total customer data of an e-learning business. Building predictive models that can efficiently classify imbalanced data is a major challenge in data mining and machine learning. Most of the machine learning algorithms deliver a suboptimal performance when introduced to an imbalanced dataset. A variety …

An Analysis On The Correlation Between Atmospheric Parameters And Toa Reflectance Of Pseudo Invariant Calibration Sites (Pics), Yugeen Chaulagain

Electrical Engineering and Computer Science Plan B Projects

The objective of this work is to understand and quantify the relationship(s) between atmospheric parameters and TOA reflectance. The analysis uses Landsat-7 ETM+ and Landsat-8 OLI images data acquired over the Algodones Dunes and a desert site near Wadi ad-Dawasir, Saudi Arabia. The analysis focuses on atmospheric water content and barometric pressure, as ground truth measurements of these quantities are likely to be readily available from relatively nearby weather stations. Section II of the paper discusses the methodology used in the analysis. Section III presents the analysis results. Finally, Section IV provides a summary and considers potential directions for future …

Ua84 Sigma Chi, Wku Archives

WKU Archives Collection Inventories

Records created by and about the WKU chapter of Sigma Xi.

Details On Gaussian Process Regression (Gpr) And Semi-Gpr Modeling, Mohammad Shekaramiz, Todd K. Moon, Jacob H. Gunther

Electrical and Computer Engineering Faculty Publications

This report tends to provide details on how to perform predictions using Gaussian process regression (GPR) modeling. In this case, we represent proofs for prediction using non-parametric GPR modeling for noise-free predictions as well as prediction using semi-parametric GPR for noisy observations.

Grain Yield, Crop And Basal Evapotranspiration, Production Functions And Water Productivity Response Of Drought-Tolerant And Non-Drought-Tolerant Maize Hybrids Under Different Irrigation Levels, Population Densities And Environments: Part Ii. In South-Central And Northeast Nebraska's Transition Zone And Sub-Humid Environments, Suat Irmak, Ali T. Mohammed, William Kranz

Department of Agricultural and Biological Systems Engineering: Faculty Publications

Information and data on newer drought-tolerant maize hybrid response to water in different climates are extremely scarce. This research quantified the performance of non-drought-tolerant (NDT) (H1) and drought-tolerant (DT) (H2, H3, and H4) maize (Zea mays L.) hybrids response to grain yield, crop evapotranspiration (ETc), basal evapotranspiration (ETb), ETc-yield production functions (ETYPF), and crop water use efficiency (CWUE) at three irrigation levels and two plant population densities (PPDs) at two locations (transition zone between sub-humid and semiarid climates at Clay Center (SCAL), Nebraska, in 2010 and 2012; and in a sub-humid climate at Concord (HAL), Nebraska, in 2010, 2011, and …

Nebraska Water Center Annual Report 2017-2018, The Nebraska Water Center

Nebraska Water Center: Administrative Materials

Contents

Introduction: Foreword • Director’s Letter by Chittaranjan Ray • Nebraska Water Center Overview and Timeline • Nebraska’s Top 10 Water Challenges

Research: Water Sciences Laboratory Overview • Nebraska Vadose Zone Program • Novel Nitrate Leaching Reduction • Ogallala Water Coordinated Agriculture Project (OWCAP) • Nebraska Water Productivity Report • USDA-NIFA Water End-User Grant • U.S. Geological Survey 104b Projects

Extension & Outreach: Bazile Groundwater Management Area • Platte River Basin Ecosystem Symposium • Testing Ag Performance Solutions (TAPS) • 2018 National Institutes for Water Resources Regional Symposium • Water Quality + Citizen Science • Nebraska Water and Natural Resources …

Image-Based Roadway Assessment Using Convolutional Neural Networks, Weilian Song

Theses and Dissertations--Computer Science

Road crashes are one of the main causes of death in the United States. To reduce the number of accidents, roadway assessment programs take a proactive approach, collecting data and identifying high-risk roads before crashes occur. However, the cost of data acquisition and manual annotation has restricted the effect of these programs. In this thesis, we propose methods to automate the task of roadway safety assessment using deep learning. Specifically, we trained convolutional neural networks on publicly available roadway images to predict safety-related metrics: the star rating score and free-flow speed. Inference speeds for our methods are mere milliseconds, enabling …

Framework For Improving Complex System Performance, Charles B. Keating, Polinpapilinho F. Katina, Ra'ed Jaradat, Joseph M. Bradley, Richard Hodge

Engineering Management & Systems Engineering Faculty Publications

This paper introduces a framework for improvement of complex system performance. Complex systems are besieged with conditions marked by increasing uncertainty, emergence, and ambiguity. Additionally, demands for increased productivity, resource efficiencies, and performance improvement make new approaches paramount for modern systems engineers. In response, a framework to improve complex system performance is developed. Following an introduction, the paper pursues four objectives: (1) introduction of Complex System Governance (CSG) as a foundation to describe essential system functions, (2) suggest system `pathologies' as an explanation for deep system performance issues, (3) exploration of system performance improvement as a function of `requisite variety' …

Classification Of North Africa For Use As An Extended Pseudo Invariant Calibration Sites (Epics) For Radiometric Calibration And Stability Monitoring Of Optical Satellite Sensors, Mahesh Shrestha

Electronic Theses and Dissertations

An increasing number of Earth-observing satellite sensors are being launched to meet the insatiable demand for timely and accurate data to help the understanding of the Earth’s complex systems and to monitor significant changes to them. The quality of data recorded by these sensors is a primary concern, as it critically depends on accurate radiometric calibration for each sensor. Pseudo Invariant Calibration Sites (PICS) have been extensively used for radiometric calibration and temporal stability monitoring of optical satellite sensors. Due to limited knowledge about the radiometric stability of North Africa, only a limited number of sites in the region are …