Geochemical Analysis of Surface and Ground Waters Around Cle Elum, WA; Implications for the Proposed Exempt Well Moratorium

The Yakima River drainage is one of the most heavily irrigated regions in the state, and water use has been much contested and litigated. Due to this water demand and the increase in drilling of domestic wells, a moratorium on exempt well drilling was proposed in 2007. In this study geochemical data is used to evaluate the surface-groundwater interaction in the area around Cle Elum, WA. The hydrogeology of this area is poorly understood due to the complex stratigraphy where the valley floor meets the bedrock of the Cascade Range. It is important to understand the relationship between groundwater and surface water because more than the available surface water in the Yakima drainage is appropriated and many water rights holders depend on this water for their livelihood. This study began as a class project for an Environmental Geochemistry class at Central Washington University. Students collected samples from over 30 domestic wells and nearby surface water sources in the Cle Elum/Roslyn area. Trace element and major ion data are presented for these samples and are used along with geochemical analysis to draw conclusions regarding the different sub-surface water bearing units as well as the relationship between the surface and ground waters. This report concludes that exempt wells need monitoring and suggests the current policy of over-appropriation be reviewed

Geochemical Analysis of Surface and Ground Waters Around Cle Elum, WA; Implications for the Proposed Exempt Well Moratorium

The Yakima River drainage is one of the most heavily irrigated regions in the state, and water use has been much contested and litigated. Due to this water demand and the increase in drilling of domestic wells, a moratorium on exempt well drilling was proposed in 2007. In this study geochemical data is used to evaluate the surface-groundwater interaction in the area around Cle Elum, WA. The hydrogeology of this area is poorly understood due to the complex stratigraphy where the valley floor meets the bedrock of the Cascade Range. It is important to understand the relationship between groundwater and surface water because more than the available surface water in the Yakima drainage is appropriated and many water rights holders depend on this water for their livelihood. This study began as a class project for an Environmental Geochemistry class at Central Washington University. Students collected samples from over 30 domestic wells and nearby surface water sources in the Cle Elum/Roslyn area. Trace element and major ion data are presented for these samples and are used along with geochemical analysis to draw conclusions regarding the different sub-surface water bearing units as well as the relationship between the surface and ground waters. This report concludes that exempt wells need monitoring and suggests the current policy of over-appropriation be reviewed

Software for Partly Automated Recognition of Targets

The Feature Analyst is a computer program for assisted (partially automated) recognition of targets in images. This program was developed to accelerate the processing of high-resolution satellite image data for incorporation into geographic information systems (GIS). This program creates an advanced user interface that embeds proprietary machine-learning algorithms in commercial image-processing and GIS software. A human analyst provides samples of target features from multiple sets of data, then the software develops a data-fusion model that automatically extracts the remaining features from selected sets of data. The program thus leverages the natural ability of humans to recognize objects in complex scenes, without requiring the user to explain the human visual recognition process by means of lengthy software. Two major subprograms are the reactive agent and the thinking agent. The reactive agent strives to quickly learn the user s tendencies while the user is selecting targets and to increase the user s productivity by immediately suggesting the next set of pixels that the user may wish to select. The thinking agent utilizes all available resources, taking as much time as needed, to produce the most accurate autonomous feature-extraction model possible

Evaluation of imaging techniques for the assessment of tumour progression in an orthotopic rat model of malignant pleural mesothelioma

OBJECTIVES An orthotopic rat tumour recurrence model for malignant pleural mesothelioma (MPM) provides clinical similarity to patients and is useful for drug testing combined with surgical intervention. Importantly, a reliable imaging method is required allowing for noninvasive and repetitive evaluation of the tumour load. We compared the tumour load assessed by bioluminescence and magnetic resonance imaging (MRI) to the macroscopic tumour volume as a reference standard. METHODS A total of 500 000 syngeneic rat MPM cells transfected with luciferase were implanted underneath the parietal pleura of immunocompetent rats (n = 13). From the second day after implantation, bioluminescence measurements of the tumour load expressed as the maximum bioluminescent intensity (photon/second) were performed daily after intraperitoneal injection of the luciferase substrate, d-luciferin, to observe the first occurrence of tumour. Six days after the first detection of tumour, bioluminescence, MRI and macroscopic tumour volume measurement were conducted. For MRI, a 4.7-Tesla small animal imager equipped with a (1)H whole-body rat coil was employed using T2-weighted fast spin-echo sequences. Tumour burden (mm(3)) was quantified from magnetic resonance transverse images by two independent readers by manual segmentation. Finally, the tumour burden assessed by bioluminescence and MRI was correlated (Pearson's correlation) with the macroscopic measurement of tumour (ellipsoid) volume. RESULTS In all rats, a single tumour nodule was found at the inoculation site with a median macroscopic volume of 46 mm(3) (18-377 mm(3)). For tumour burden quantification of MRIs, we observed good interobserver correlation (R(2) = 0.81, P < 0.0001) as well as significant association with the macroscopic tumour volume (R(2) = 0.59, P = 0.002). However, the signal intensity of bioluminescence did not correspond to the macroscopic tumour volume (R(2) = 0.01, P = 0.76). CONCLUSIONS MRI is a reliable and reproducible noninvasive in vivo imaging method for MPM tumour burden assessment for the present MPM mode