In recent years, significant advances have been achieved in communication networks and electric power systems. Communication networks are developed to provide services within not only well-connected network environments such as wireless local area networks, but also challenged network environments where continuous end-to-end connections can hardly be established between information sources and destinations. Delay tolerant network (DTN) is proposed to achieve this objective by utilizing a store-carry-and-forward routing scheme. However, as the network connections in DTNs are intermittent in nature, the management of network resources such as communication bandwidth and buffer storage becomes a challenging issue. On the other hand, the smart grid is to explore information and communication technologies in electric power grids to achieve electricity delivery in a more efficient and reliable way. A high penetration level of electric vehicles and renewable power generation is expected in the future smart grid. However, the randomness of electric vehicle mobility and the intermittency of renewable power generation bring new challenges to the resources management in the smart grid, such as electric power, energy storage, and communication bandwidth management. This thesis consists of two parts. In part I, we focus on the resource management in DTNs. Specifically, we investigate data dissemination and on-demand data delivery which are two of the major data services in DTNs. Two kinds of mobile nodes are considered for the two types of services which correspond to the pedestrians and high-speed train passengers, respectively. For pedestrian nodes, the roadside wireless local area networks are used as an auxiliary communication infrastructure for data service delivery. We consider a cooperative data dissemination approach with a packet pre-downloading mechanism and propose a double-loop receiver-initiated medium access control scheme to resolve the channel contention among multiple direct/relay links and exploit the predictable traffic characteristics as a result of packet pre-downloading. For high-speed train nodes, we investigate on-demand data service delivery via a cellular/infostation integrated network. The optimal resource allocation problem is formulated by taking account of the intermittent network connectivity and multi-service demands. In order to achieve efficient resource allocation with low computational complexity, the original problem is transformed into a single-machine preemptive scheduling problem and an online resource allocation algorithm is proposed. If the link from the backbone network to an infostation is a bottleneck, a service pre-downloading algorithm is also proposed to facilitate the resource allocation. In part II, we focus on resource management in the smart grid. We first investigate the optimal energy delivery for plug-in hybrid electric vehicles via vehicle-to-grid systems. A dynamic programming formulation is established by considering the bidirectional energy flow, non-stationary energy demand, battery characteristics, and time-of-use electricity price. We prove the optimality of a state-dependent double-threshold policy based on the stochastic inventory theory. A modified backward iteration algorithm is devised for practical applications, where an exponentially weighted moving average algorithm is used to estimate the statistics of vehicle mobility and energy demand. Then, we propose a decentralized economic dispatch approach for microgrids such that the optimal decision on power generation is made by each distributed generation unit locally via multiagent coordination. To avoid a slow convergence speed of multiagent coordination, we propose a heterogeneous wireless network architecture for microgrids. Two multiagent coordination schemes are proposed for the single-stage and hierarchical operation modes, respectively. The optimal number of activated cellular communication devices is obtained based on the tradeoff between communication and generation costs.

In July 1997 Selkirk First Nation Citizens or Selkirk First Nation Peoples in the community of Pelly Crossing, Yukon signed the Selkirk First Nation Final Land Claims Agreement (Modern Day Treaty) and the Selkirk First Nation Self-Government Agreement with the Government of Yukon and the Government of Canada. Prior to 1997 they were under the auspices of the Department of Indian and Northern Affairs (DIAND) and did not have the autonomy to create policy and law for land management. Rather, they were required to adhere to regulations that were mandated by the Yukon Wildlife Act and other institutions created by the Yukon or Federal Governments. The methodology employed in this study was aimed at providing an accurate assessment of change while at the same time ensuring that Selkirk First Nation perspectives remained uppermost. To achieve this, community and personal insights were gained through interviews, family group discussions and the observation of community activities. To ensure that these perspectives were positioned in an accurate historical and political context an examination of public, private, and government records were also undertaken. This research has provided the platform upon which I formed my conceptualizations that Selkirk First Nation Peoples are benefiting both culturally and traditionally. The significance of this research will provide alternatives for other First Nations who pursue land claims and who are building their hunting and fishing laws or Wildlife Acts upon cultural values and traditional pursuits that are distinct from those mandated federally, provincially, or territorially. It is also anticipated that First Nations who are in the process of negotiating Comprehensive Land Claims Agreements acknowledge that certainty regarding Aboriginal rights and title go above and beyond what is defined by the dominant Governments and the Courts.

This study is to assess natural resource management practices in Xilingol Biosphere Reserve (XBR) located in northern China in their institutional contexts. Institutions including legislation, regulations and administrative structures, responsibilities associated with land and resource rights, decision making powers and processes, and community participation, and the interactions between these institutions have exerted great impacts on how natural resources are used and managed in XBR. Local people have experienced great socioeconomic losses accompanied with the establishment of XBR. However, they have not been provided with adequate compensation for their lost benefits. This gave rise to the conflict between local people and XBR. The findings indicate that partnerships prove to be an inevitable trend for improving the reserve management and facilitating the resolution of a series of issues facing XBR.

This dissertation investigates two related aspects of firms’ choice of HRM practices. The first is why some firms expend a great deal of resources on HRM practices for each employee while others spend very little; the second is the extent to which firms’ bundles of HRM practices sort into general discrete employment systems. In order to empirically address these issues, this dissertation uses an economics-based theoretical approach. The key theoretical link to economics is to treat HRM as a separate factor input in the production process, which allows me to derive an HRM input demand function. This function expresses the firm’s per employee expenditures on HRM and their choice of HRM system as a function of prices and internal and external firm characteristics. Ordinary least squares, two-stage least squares and linear quantile analysis are used to empirically estimate the HRM demand function using a unique dataset of several hundred firms collected by the Bureau of National Affairs (BNA). The regression equation is found to be statistically significant, implying firms do have an identifiable demand for HRM practices. Second, there are nine independent variables which are found to be stable determinants of the demand for per employee expenditures on HRM practices. Regarding the existence of discrete employment systems, cluster analysis is used to determine if the sets of HRM practices adopted by these firms sort into identifiable types of HRM systems. The results show that there is a discrete set of four HRM systems; however, the HRM demand function does not predict which system a firm will choose.

Off-site soil erosion has tremendous impacts on the present state of most river systems throughout the United States, contributing sediments to channels mainly as nonpoint pollution resulting from land-use and agricultural practices and leading to sedimentation downstream and downwind, a decrease in the transport capacity of streams, increase in the risk of flooding, filling reservoirs, and eutrophication. A primary focus in examining the problems associated with soil erosion arid ultimately in proposing control measures should be on identifying the sources of the sediment. Therefore, a model that would be able to assess soil erosion needs to start by identifying the sediment sources and delivery paths to channels, link these sediment supply processes to in-channel sediment transport and storage and ultimately to basin sediment yield. This study focuses on the Upper Green River Basin in Kentucky and is concerned with analyzing hillslope erosion rates using The Unit Stream Power Erosion and Deposition soil erosion model (Mitas and Mitasova, 1996) and GIS, and thereby estimating patterns of sediment supply to rivers in order to predict which portions of the channel network are more likely to store large amounts of fine sediments. Results indicate that much of the eroded sediments are redistributed within the hillslope system, but also that a large proportion is delivered to the channel. These predictions have been tested by sampling the fine sediment content of the streambed at key locations along the channel network and comparing the observed patterns to those predicted by the soil erosion model. By linking topographic and soil characteristics with land cover data, it has been concluded that high intensity erosion tends to occur at contact between different vegetation covers, on barren lands and croplands, and 15-25% slopes poorly protected by vegetation. Erosion ""hot spots"" have been identified in the Pitman Creek HUC 05110001-90-130 and 05110001-90-050, both part of the Big Pitman Creek sub-basin, as well as in Mill and Falling Timber Creeks with lower intensity.

Atrazine [2-chloro- 4-(ethylamino)-6-(isopropylamino)-l,3,5-triazine], a widely used herbicide in US corn production, impacts quality of drinking water for many rural water supply systems. Four systems at Rough River Lake, Kentucky, have had high levels of atrazine in raw water and in some cases finished water that have exceeded the legal limit of 3 parts per billion (ppb). The Rough River Lake watershed is 1,700-km2, much of which is located in limestone karst. A hypothesis was developed stating that there would be higher concentrations of atrazine in the northeast section of the Rough River Watershed, located in Hardin County, due to the no-till corn production of the area and karst features. Surface and subsurface samples were collected from eighteen locations (including all major tributaries) within the study area. Sampling began during the Spring of 2005 growing season on a fourteen-day cycle and a twenty-eight day cycle during the fall and winter months. Atrazine concentrations rose at nearly all sites within weeks of the spring application in May, and then began to decrease by late July. Five locations had over 3 ppb for at least two sampling rounds. Two sites exceeded 10 ppb. Global Polynomial Interpolation Analysis was used as both a data exploration tool and a way to demonstrate a definite spatial and temporal pattern to atrazine within the study area. It was also concluded, the reservoir with its larger volume and lower water velocity plays a significant affect on a longer residence time of atrazine, while the tributaries showed lower concentrations of atrazine most likely due to higher velocity and smaller volume of water.

The tale of South Korea's Cheonggyecheon River is one to warm an urban environmentalist's heart. Cheonggyecheon runs through the center of Seoul, a bustling metropolis of ten million that has been the capital of Korea since the 14th century. The Japanese were the first to sacrice Cheonggyecheon on the altar of urbanization, turning the River into a sewage system during their 35 year occupation between 1910 and 1945. Already thusvdegraded, it was easy for later administrations to eventually completely cover the river with the Cheonggye Road and Cheonggye Elevated Highway between 1958 and 1976. Cheonggyecheon became an exemplar of the expendability of urban environments in the face of modernization and economic growth, particularly the need for transportation in a quickly developing city. In the early 1990s it was discovered that extensive repair would be necessary to maintain the Highway, and with heavy political leadership of Mayoral Candidate Myung-Bak Lee, now the president of South Korea, the decision was made to restore the river rather than repair the road (Park, 2006).

Contamination of drinking water with metals is a major problem facing many areas of United States and the World. There is a need for an inexpensive remediation technology for the removal of metals in drinking water that can be applied to small rural water systems. This research will focus on the development of a process for removal of select metals from drinking water by limestone-based material. Metals in drinking water considered for this research include lead and selenium. Limestone-based material has demonstrated the potential to reduce select metals (lead, cadmium and arsenic) in drinking water, with the additional benefit of low-cost disposal of a stable waste product in ordinary landfills. Earlier research by the principal investigators using limestone-based material for drinking water treatment has clearly shown that this material can achieve metals removal of greater than 90 percent. This project will investigate techniques to improve removal efficiency of limestone-based material through adsorption and precipitation. This research will assist in the development of a granular adsorbent product that will remove metals and that can be manufactured and sold for use at the drinking water source, at point-of-use, or at point-of entry.

Monitoring and mining real-time network data streams are crucial operations for managing and operating data networks. The information that network operators desire to extract from the network traffic is of different size, granularity and accuracy depending on the measurement task (e.g., relevant data for capacity planning and intrusion detection are very different). To satisfy these different demands, a new class of monitoring systems is emerging to handle multiple and arbitrary monitoring applications. Such systems must inevitably cope with the effects of continuous overload situations due to the large volumes, high data rates and bursty nature of the network traffic. These overload situations can severely compromise the accuracy and effectiveness of monitoring systems, when their results are most valuable to network operators. In this thesis, we propose a technique called load shedding as an effective and low-cost alternative to over-provisioning in network monitoring systems. It allows these systems to handle efficiently overload situations in the presence of multiple, arbitrary and competing monitoring applications. We present the design and evaluation of a predictive load shedding scheme that can shed excess load in front of extreme traffic conditions and maintain the accuracy of the monitoring applications within bounds defined by end users, while assuring a fair allocation of computing resources to non-cooperative applications. The main novelty of our scheme is that it considers monitoring applications as black boxes, with arbitrary (and highly variable) input traffic and processing cost. Without any explicit knowledge of the application internals, the proposed scheme extracts a set of features from the traffic streams to build an on-line prediction model of the resource requirements of each monitoring application, which is used to anticipate overload situations and control the overall resource usage by sampling the input packet streams. This way, the monitoring system preserves a high degree of flexibility, increasing the range of applications and network scenarios where it can be used. Since not all monitoring applications are robust against sampling, we then extend our load shedding scheme to support custom load shedding methods defined by end users, in order to provide a generic solution for arbitrary monitoring applications. Our scheme allows the monitoring system to safely delegate the task of shedding excess load to the applications and still guarantee fairness of service with non-cooperative users. We implemented our load shedding scheme in an existing network monitoring system and deployed it in a research ISP network. We present experimental evidence of the performance and robustness of our system with several concurrent monitoring applications during long-lived executions and using real-world traffic traces.

The Region of Waterloo (ROW) and Oxford County contain a significant landscape unit called the Waterloo Moraine that provides multiple ecological and water resource functions to surrounding communities. These functions include; providing a clean and abundant source of water, natural landscapes for plant and animal habitats, natural areas for recreational enjoyment, prime agricultural lands on which to grow food and aggregate resources in close proximity to large markets. This landscape unit is similar to the Oak Ridges Moraine (ORM) located in the Greater Toronto Area (GTA). The purpose of this research is to conduct an examination of the current state of management for the Waterloo Moraine within the ROW and Oxford County. Attributes of the Waterloo Moraine examined include; water resources, agricultural resources, mineral aggregate resources, Environmentally Sensitive Landscapes (ESLs), natural core areas, natural linkage areas and settlement areas. While the hydrologic functions have been most studied within this landscape unit, the Moraine has predominantly been studied from a focused perspective rather than a comprehensive one. Using expert knowledge and available secondary sources the following research questions are investigated: (1) What do we currently know about the Waterloo Moraine and how is this knowledge (or lack thereof) applied to its future existence and sustainability? (2) Who are the stakeholders when it comes to growth and management of the Waterloo Moraine? (3) Which places need to be protected from development most throughout the Waterloo Moraine? (4) Where does the Waterloo Moraine fit into management policies and plans existing in the Region of Waterloo and within the Province of Ontario? Key results of this research include; (1) The boundary of the Waterloo Moraine remains undefined; however, rough estimates of the overall size and various portions within each county, township and city it encompasses have been projected. To date, the largest portion of the Moraine lies in Wilmot Township (36.9%) and the smallest portion lies in North Dumfries (3%). (2) Many stakeholders are involved in the protection and management of the Waterloo Moraine. Regional and provincial officials ultimately control where development and growth occur and which areas in the ROW should be protected most. Those responsible for the initial ‘push’ for Moraine protection are grassroots groups and individuals coupled with the local media. (3) Criteria designating development ‘hot spots’ across the Waterloo Moraine has been established and six ‘hot spots’ within the Waterloo Moraine are designated. Limited recognition has been given to the Waterloo Moraine complex in regional policies. It is therefore suggested that the creation of a Waterloo Moraine Act be considered in order to protect and manage this landscape unit. The Act would promote protection measures for the Moraine’s valuable attributes at the highest provincial level and eventually lead to a conservation plan. It is recommended that the ROW further refine the Waterloo Moraine’s boundaries, develop a database to monitor changes in various features and functions across the Waterloo Moraine’s landscape and promote the implementation of a Waterloo Moraine Act.