The neoliberalization of ecosystem services: wetland mitigation banking and problems in environmental governance

Wetland mitigation banking is an American neoliberal environmental policy that has created a functioning market in `ecosystem services', commodities defined using the holistic measures of ecological science. The development of this market is discussed as a project of environmental governance, defined as the nation-state's regulation of ecological relations within its territory towards stabilizing capitalist relations of power and accumulation. I argue that the wetland banking industry serves as a bellwether that presages problems that other strategies of neoliberal environmental governance will experience. Ethnographic, economic and ecological data from the Chicago-area wetland banking industry inform a discussion of two major obstacles to neoliberal strategy: the problem of relying on ecological science to define the unit of trade, and the problem of aligning the somewhat independent relations of law, politics, markets and ecosystems across an array of spatial scales. Theoretical guidance is sought from recent work on `social natures' and from the Regulationist approach to institutional political economics.     

Fractures system within Dammam Dome and its relationship to the doming process,Eastern Saudi Arabia

Dammam Dome is an oval-shaped structure that covers an area of about 500 km² and encompasses Al Khobar, Al Dhahran and part of Ad Dammam cities, east of Saudi Arabia. The dome characterizes by the presence of well developed fractures system that exposes at its apex and extends to its peripheries. Based on their size, trend and extent, fractures within Dammam Dome are divided into three types: regional (major) fractures, local (minor) fractures and very small size-localized fractures. This study discusses the criteria used in classifying those fractures, and the relationship of the regional (major) ones to the doming process. A model for the trends pattern of fracture is suggested for those fractures, and examined with the concentric and radial fracture pattern associated normally with dome structures. The suggested model is compatible and concordant with the dome model, which proves that the major fractures in the area are related to the dome emplacement and process. Outcomes and findings of this study are crucial for understanding the behavior and distribution of fractures associated with domes. Additionally, the suggested model of fractures and their trend pattern is important model in similar setting for hydrocarbon exploration and for any urban development and major constructions within the Dome vicinities.     

On the accuracy of the GPS L2 observable for ionospheric monitoring

The introduction of the unencrypted global positioning system (GPS) L2 civil (L2C) signal has the potential to improve measurements made with the L2 frequency, an important observable in GPS-based ionospheric research and monitoring. Recent work has shown significant differences between the legacy L2P(Y) and L2C-derived total electron content rate of change index (ROTI). This difference is observed between L2P(Y) and L2C-derived ROTI with certain receiver models and between zero-baseline receiver pairs. We discuss the likely cause for these differences: L1-aided tracking used to track both the L2P(Y) and L2C signals. We also present L2C data that are confirmed to be from tracking independent of L1. Using the ionospheric-free linear combination, we show that the independently tracked carrier phase dynamics are significantly more accurate than the L1-aided observables. This result is confirmed by comparing the behavior of the L2C and L2P(Y) carrier phase observables upon a sudden antenna rotation.     

The use of feed-forward back propagation and cascade correlation for the neural network prediction of surface water quality parameters

Modeling of surface water quality based on a deductive approach is highly non-linear, varies with time, is spatially distributed and is difficult to incorporate as part of decision-support systems. A Neural Networks (NNs) procedure provides a reliable analysis in several science and technology fields. NNs are often applied to develop statistical models for intrinsically non-linear systems. In this investigation, NNs are used in the induction of a water quality model from available field measurements for the Bahr Hadus drain in the Eastern Egyptian Delta. Two models, namely, feed-forward back propagation (BP) and cascade correlation (CC), were used. It is concluded that the CCNN model produced slightly more accurate results and learned very quickly compared with the BP procedure. The results indicated that the NNs model could be used as a non-linear dynamic system model to encapsulate site-specific knowledge and emulate the temporal sequence of one-dimensional flow systems. This NNs model undoubtedly will reduce the cost and save time in this class of problems.