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Relevant bibliographies by topics / Soils – Arizona – Coconino County

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Academic literature on the topic 'Soils – Arizona – Coconino County'

Author: Grafiati

Published: 4 June 2021

Last updated: 8 February 2022

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Journal articles on the topic "Soils – Arizona – Coconino County"

1

Christie, Kyle. "Vascular Flora of the Lower San Francisco Volcanic Field, Coconino County, Arizona." Madroño 55, no. 1 (January 2008): 1–14. http://dx.doi.org/10.3120/0024-9637(2008)55[1:vfotls]2.0.co;2.

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Rauch, Ethan. "Context-Sensitive Solution for Arizona State Route 179." Transportation Research Record: Journal of the Transportation Research Board 1904, no. 1 (January 2005): 93–102. http://dx.doi.org/10.1177/0361198105190400110.

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The Arizona Department of Transportation (DOT) is following an innovative approach called a needs-based implementation plan (NBIP) to improve State Route 179, in Sedona, Arizona. The NBIP process consists of a coordinated, collaborative team effort to assess needs and develop solutions for this corridor. Throughout the process, Arizona DOT has solicited input and involvement from the community by using a variety of methods, such as advisory panels, focus groups, workshops, a website, and charrettes (collaborative planning events with a specific goal and a limited time frame that harness the talents and energies of all interested parties to create and support a feasible outcome). The NBIP process takes a context-sensitive solutions approach by balancing safety, mobility, and the preservation of scenic, aesthetic, historic, environmental, and other community values. A key component of the approach is that citizens play an active role in the planning, design, and construction of the corridor. Working with Arizona DOT throughout the process are the Big Park Regional Coordinating Council, Yavapai County, Coconino National Forest, FHWA, city of Sedona, and Coconino County. The NBIP process is structured around a series of three charrettes: first, a planning charrette, in which the community articulated its core values and long-range vision for the corridor, and a second charrette, in which participants worked in small groups at gaming workshops to build their road. In addition, an evaluation program, which consisted of evaluation criteria and performance measures, was developed to screen planning concepts resulting from the gaming workshop. At two screening workshops and a third charrette, the community screened 12 planning concepts to produce a single preferred planning concept consisting of a greatly improved two-lane facility.

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Hasbargen, Jim. "A Holocene Paleoclimatic and Environmental Record from Stoneman Lake, Arizona." Quaternary Research 42, no. 2 (September 1994): 188–96. http://dx.doi.org/10.1006/qres.1994.1068.

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AbstractStoneman Lake, Coconino County, Arizona, occupies a 600,000-yr-old caldera on the southern edge of the Colorado Plateau. Changes in fossil diatom floras, pollen profiles, macrofossil remains, and geological characteristics of a sediment core show changing aquatic and terrestrial environments over the past 9000 yr. Cool temperatures and greater effective precipitation than at present are indicated during the early Holocene, prior to 8500 yr B.P. A warmer and drier period followed (8000 and 2000 yr B.P.) during which time a marsh-like environment developed within the caldera, and xeric pleat communities were established along the southern Colorado Plateau. Modern plant communities have existed in this region for the past 6000 yr, although lake conditions have fluctuated.

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4

Hinck, Jo E., Greg Linder, Abigail J. Darrah, Charles A. Drost, Michael C. Duniway, Matthew J. Johnson, Francisca M. Méndez-Harclerode, et al. "Exposure Pathways and Biological Receptors: Baseline Data for the Canyon Uranium Mine, Coconino County, Arizona." Journal of Fish and Wildlife Management 5, no. 2 (December 2014): 422–40. http://dx.doi.org/10.3996/052014-jfwm-039.

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5

Butt, C. R. M., M. K. W. Hart, and M. J. Gole. "Gases and trace elements in soils at the North Silver Bell deposit, Pima County, Arizona — Discussion." Journal of Geochemical Exploration 24, no. 1 (September 1985): 129–34. http://dx.doi.org/10.1016/0375-6742(85)90008-1.

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Hinkle, Margaret E., and G. Michael Reimer. "Gases and trace elements in soils at the North Silver Bell deposit, Pima County, Arizona — Reply." Journal of Geochemical Exploration 24, no. 1 (September 1985): 134–38. http://dx.doi.org/10.1016/0375-6742(85)90009-3.

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7

Orum, Thomas V., Donna M. Bigelow, Merritt R. Nelson, Donald R. Howell, and Peter J. Cotty. "Spatial and Temporal Patterns of Aspergillus flavus Strain Composition and Propagule Density in Yuma County, Arizona, Soils." Plant Disease 81, no. 8 (August 1997): 911–16. http://dx.doi.org/10.1094/pdis.1997.81.8.911.

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Aspergillus flavus isolates from Arizona can be divided into S and L strains on the basis of sclerotial morphology. These genetically distinct strains differ in aflatoxin production. To help understand factors influencing the aflatoxin producing potential of A. flavus communities, spatial and temporal patterns of strain incidence were compared with patterns of A. flavus propagule density in Yuma County soils. Strain S isolates were found in all sampled fields, but the percentage of strain S isolates ranged from 4 to 93%. A nested analysis of variance was used to determine the spatial scale at which most variability in strain composition and propagule density occurred. For both variables, the largest component of variance occurred among fields within areas at a spatial scale of 1 to 5 km. There was also spatial structure (12 to 21% of the variance) at the subregional level (> 20 km) in strain composition, but not in propagule density. Temporal patterns for both variables were similar. The sampling periods with the highest incidence of strain S isolates, August 1994 (60%) and July 1995 (62%), occurred during cotton boll formation. The regional average for A. flavus propagule density was near 1000 propagules/g in the summer, but less than 100 propagules/g in the spring. The results suggest that insights into factors influencing the toxigenicity and propagule density of A. flavus communities might be achieved most readily by contrasting fields in close spatial proximity.

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Gilpin, Dennis. "Data Recovery at Nine Archaeological Sites at Antelope Point Coconino County, Arizona. Joseph K. Anderson and Susan E. Bearden. Navajo Nation Papers in Anthropology No. 27. Navajo Nation Archaeology Department, Window Rock, Arizona, 1992. xxxii + 439 pp., figures, plates, appendixes, bibliography. $10.00 (paper)." American Antiquity 60, no. 1 (January 1995): 179. http://dx.doi.org/10.2307/282096.

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9

Straub, Timothy M., Ian L. Pepper, and Charles P. Gerba. "Virus Survival in Sewage Sludge Amended Desert Soil." Water Science and Technology 27, no. 3-4 (February 1, 1993): 421–24. http://dx.doi.org/10.2166/wst.1993.0384.

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Currently Pima County, Arizona, disposes all of its anaerobically digested sewage sludge in liquid form (1.5% solids) on agricultural land used for non-food crop production by subsurface injection or surface spreading. Present in these sludges are human enteric viruses in concentrations as high as 1,000 per liter of sludge. These viruses could potentially contaminate surface and groundwater sources during periods of irrigation or extended rainfall. This study was designed to assess the survival of viruses under field conditions typical of the arid Southwestern United States during the winter and summer months. This study was also conducted in the laboratory to simulate field conditions. Soil samples taken from freshly amended fields were seeded with poliovirus type 1 (stock titer = 106/ml) and bacteriophage MS-2 (stock titer = 1010/ml)and thoroughly mixed with the sludged soil. The seeded samples were put into containers and buried 10 cm below the soil surface, and samples were taken at pre-determined time intervals. Average soil temperature (measured at the 10 cm depth) ranged from 15°C in the winter to 33°C in the summer. Soil moisture decreased from 25% to 15% in the winter and from 40% to less than 5 % in the summer. During the winter study, no inactivation of poliovirus was observed after 7 days, while greater than a 90% reduction was observed for MS-2. During the summer study, no poliovirus was recovered after 7 days, and no MS-2 was recovered after 3 days. The results of this study suggest that high soil temperature and rapid loss of moisture limit the survival of viruses in desert soils.

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Rink, Glenn R., Wendy Hodgson, and Barbara Goodrich Phillips. "Checklist of the Vascular Flora of the Kaibab Plateau, Coconino County, Arizona." Monographs of the Western North American Naturalist 12, no. 1 (December 1, 2020). http://dx.doi.org/10.3398/042.012.0101.

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Dissertations / Theses on the topic "Soils – Arizona – Coconino County"

1

Crites, Mark Jeffrey 1957. "Ecology of the Merriam's wild turkey in north-central Arizona." Thesis, The University of Arizona, 1988. http://hdl.handle.net/10150/276660.

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Information on the ecology of radio-equipped Merriam's wild turkey hens was recorded from 1982-1985 in north-central Arizona. The average net direct line distance that the hens moved was 16.0 miles (25.8 km). Over 35% of the adult hens and 70% of the juvenile hens died during the study, with the majority dying during the winter months. Fifty-four percent of the hens (25% of the juveniles) alive during the nesting season nested, with 54% of those (100% of the juveniles) successfully bringing a brood off the nest. Cover at twelve nests sampled was higher than the surrounding areas, being supplied by oak thickets, slash, and conifers. Successful nests had more cover at the site and more cover in the surrounding areas than the unsuccessful nests. Three broods followed used different combinations of stand types, depending on habitat and food availability.

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2

Hazlehurst, William Montague 1957. "An estimation of the water resources for water planning and management in Fort Valley, Coconino County, Arizona." Thesis, The University of Arizona, 1988. http://hdl.handle.net/10150/191997.

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Fort Valley is located 3.5 miles northwest of Flagstaff, Coconino County, Arizona. This thesis assesses the water resources of Fort Valley and the surrounding basin. The history and climate of the Valley are presented. Fort Valley residents rely on private wells and water hauling for water supply. The Arizona Groundwater Management Act of 1980 allows for water transfers out of the basin. The transfer issue is evaluated. Groundwater levels in the Valley are mapped and an estimate of recharge is made. A water budget for the basin is made. The peak runoff from the watershed is estimated using the U.S. Soil Conservation Service method. The potential for groundwater contamination from on site wastewater disposal methods is evaluated. Alternatives to individual water and wastewater systems are analyzed.

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3

Suliman, Ahmed Saeid Ahmed. "Spectral and spatial variability of the soils on the Maricopa Agricultural Center, Arizona." Diss., The University of Arizona, 1989. http://hdl.handle.net/10150/184678.

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Dry and wet fine earth spectral measurements were made on the Ap soil surface horizons on the Maricopa Agricultural Center by using a Barnes Modular Multiband Radiometer. Three subsets were used in the analyses 552, 101 and 11. There were three soil series, Casa Grande, Shontik and Trix, four soil mapping units, and three texture classes identified on the farm. The wet soil condition reduced the amplitude of the spectral curves over the entire spectrum range (0.45 to 2.35 μm). The spectral curves were statistically related to the soil mapping units to determine if the soil mapping units and texture classes could be separated. The wet soil condition and the smaller sample size increased the correct classification percentages for soil mapping units and texture classes. LSD tests showed there were significant differences between these groups. Simple- and Multiple-linear regression analysis were used to relate some soil physical (sand, silt and clay contents and color components) and chemical (iron oxide, organic carbon and calcium carbonate contents) to soil spectral responses in the seven bands under dry and wet conditions. There were high correlations levels among the spectral bands showing an overlap of spectral information. Generally, the red (MMR3) and near-infrared (MMR4) bands had the highest correlations with the studied soil properties under dry and wet conditions. Usually, the wet soil condition resulted in higher correlations than that for the dry soil condition over the total spectrum range. The predictive equations for sand, silt and clay and iron oxide contents were satisfactory. For organic carbon and color components, the greatest success was achieved when variation in spectral response within individual samples are smaller than that between soil mapping unit group averages. There was a poor relation between calcium carbonate and spectral response. A comparison of multi-level remotely sensed data collected by SPOT, aircraft, and ground instruments showed a strong agreement among the data sets, which correlated well to fine earth data, except for the SPOT data. Rough soil surfaces showed a reduction in reflectance altitude compared to laser level, and it appears to be directly proportional to the percent shadow in the viewing area measured by SPOT satellite and aircraft.

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4

Doerge, Thomas, Tim Knowles, Mike Ottman, and Lee Clark. "Predicting the Nitrogen Requirements of Irrigated Durum Wheat in Graham County Using Soil and Nitrate Analysis." College of Agriculture, University of Arizona (Tucson, AZ), 1987. http://hdl.handle.net/10150/203767.

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The high yielding spring wheats grown in Arizona usually require applications of fertilizer nitrogen (N) to achieve optimum grain yields and acceptable quality. The University of Arizona's currently recommended procedure (preplant soil plus periodic stem tissue analysis for NO₃-N to predict the N needs of wheat) is not widely used by Graham County growers for various reasons. A nitrogen fertility trial was conducted at the Safford Agricultural Center during the 1986-87 crop year to: 1) examine the relationships between basal stem nitrate-N levels, grain yields of durum wheat, and N fertilizer rates; and 2) to test the accuracy of the recommended procedure for predicting the N needs of durum wheat. Five rates of N from O to 419 lbs N /acre were applied in three split applications. One additional N treatment was made as indicated by the current University of Arizona procedure. Maximum grain yields of 5500 to 6200 lbs /a and protein levels in excess of 14.5% were attained with the application of at least 186 lbs NIA. An untimely early season irrigation induced a temporary N deficiency condition for all plots, which may have kept grain yields below the maximum yield possibility for this site. In spite of this, the amount of N predicted by the University of Arizona procedure (197 lbsN/acre) did attain an adjusted economic return which was not significantly different from the maximum numerical yield that was achieved for any of the other N treatments.

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Knowles, Tim, Thomas Doerge, Mike Ottman, and Lee Clark. "Effects of N and P Applications on Wheat Stem Nitrate and Phosphate Levels, and Grain Production in Graham County." College of Agriculture, University of Arizona (Tucson, AZ), 1987. http://hdl.handle.net/10150/203805.

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Obtaining optimal yields of spring wheat in Arizona normally requires applications of fertilizer nitrogen (N), and occasionally phosphorus (P). The University of Arizona currently recommends preplant soil tests for NO₃-N and P, plus periodic stem tissue NO₃-N analyses to predict the N and P needs of wheat. Preplant application of P within the root zone of growing plants is suggested due to the immobility of P in soils. Split applications of N broadcast to dry soil preceding irrigations are generally recommended. Collecting additional data to calibrate and refine current guidelines for interpreting soil and plant test values is an ongoing need in Arizona. An experiment was conducted at the Safford Agricultural Center during the 1986-87 crop year to evaluate the response of "Aldura" durum wheat to banded and broadcast N and P, and split applications of N on a clay loam soil testing low in NO₃-N and available P. Maximum grain yields of over 4,500 lbs./A were obtained by banding of 40 lbs. P₂O₅ /A and 32 lbs. N/A as 16-20-0 at planting and broadcasting 118 lbs. urea-N/A prior to seeding. Stem tissue NO₃-N analyses revealed that N deficient conditions prevailed throughout the growing season in all fertilizer treatments. Treatments in which the preassigned rate of N was split into three applications produced the lowest yields due to serious N deficiency early in the season. The stem NO₃-N tissue test proved accurate in predicting N status and a stem. PO₄-P tissue test seemed reliable in monitoring P nutrition of durum wheat.

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Ghenniwa, Abdelgiawad Mohamed. "THE PHYSICAL, CHEMICAL, AND SPECTRAL CHARACTERISTICS OF SOILS AT PAGE RANCH INTERNATIONAL CENTER, PINAL COUNTY, ARIZONA." Thesis, The University of Arizona, 1985. http://hdl.handle.net/10150/275236.

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Realmuto, Vincent James 1958. "Mapping the distribution of wet soils through the use of reflectance modeling : Dragoon Mountains, Cochise County, Arizona." Diss., The University of Arizona, 1990. http://hdl.handle.net/10150/191155.

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Soils darken upon wetting due to changes in the scattering properties of the individual soil particles. The objective of this research was to develop a procedure to map the distribution of wet soils using the radiance measurements acquired by a spaceborne imaging scanner. The soil-mapping procedure was designed for use in the regional exploration for ground water resources. The soil-mapping procedure was based upon the detection of reflectance changes in a comparison of Landsat 5 Thematic Mapper (TM) scenes acquired before and after a rain. The Stronghold watershed, which is situated on the western slopes of the Dragoon Mountains, Cochise County, Arizona, was chosen as the test site for the soil-mapping procedure. TM scenes depicting the watershed on 7 June 1985 and 14 November 1985 were used in the change-detection analysis. The region was dry at the time of the June overpass, the November overpass occurred two days after a rain. The recovery of reflectance from radiance requires knowledge of 1) the orientation of the surface relative to the sun and the satellite, 2) the exoatmospheric solar irradiance, 3) the atmospheric optical depth, and 4) the atmospheric path radiance. The orientation of the surface elements were defined through the use of a digital elevation model of the Stronghold watershed. The solar irradiance and atmospheric optical depth were obtained from the literature; the atmospheric path radiance was estimated from shadowed areas depicted in the images. Temporal changes in reflectance were detected by subtracting the November reflectance estimates from those recovered from the June radiance measurements. Changes significant at the 0.05 level were identified through use of the Student-t test. The identical significance level was used to identify temporal changes in the Perpendicular Vegetation Index, or PVI. A surface element was classified as an anomaly if there was a significant temporal change in reflectance with no attendant change in PVI. Field checks of the anomalies proved that wet soils could be mapped via the remote detection of changes in their reflectance. The majority of the false anomalies could be attributed to the disparity between the spatial resolutions of the radiance measurements and the topographic data.

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El-Haris, Mamdouh Khamis. "Soil spatial variability: Areal interpolations of physical and chemical parameters." Diss., The University of Arizona, 1987. http://hdl.handle.net/10150/184290.

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Four fields of 117 ha area located at the University of Arizona's Maricopa Agricultural Center were selected for this study. Two soil series, the Casa Grande sandy clay loam and Trix clay loam occur. Surface samples (0-25 cm) were collected on a 98 m interval and 3 rows providing 47 sites per field. Sites were classified either as surveying (32) or testing (15) in each of the four fields. Additional samples at 25-50, 50-75, 75-100, and 100-125 cm were obtained with duplicate surface undisturbed cores at 5 sites per field. Soil parameters include bulk density, saturated hydraulic conductivity, moisture retention, particle size analysis, pH, EC, soluble cations, SAR, and ESP. A quantification of the spatial interdependence of samples was developed based on the variogram of soil parameters. A linear model was best fitted to the clay, EC, Ca²⁺, Mg²⁺, Na⁺, SAR and ESP, and a spherical model to the sand, silt, pH, and K⁺ observed variograms. A comparison of variograms obtained conventionally and with the robust estimation of Cressie and Hawkins (1980) for sand and Ca²⁺ were performed with a fixed couples number per class and with a fixed class size. Additionally, a negative log-likelihood function along with cross-validation criteria were used with the jackknifing method to validate and determine variogram parameters. Three interpolation techniques have been compared for estimating 11 soil properties at the test sites. The techniques include Arithmetic Mean, Inversely Weighted Average, and Kriging with various numbers of neighbor estimates. Using 4 point estimates resulted in nearly identical results, but the 8 point estimates gave more contrast for results among the alternative techniques. Jackknifing was used with 4, 8, 15, 25 neighbors for estimating 188 points of sand and Ca²⁺ with the three techniques. Sand showed a definite advantage of Kriging by lowering the Mean Square Error with increasing neighbor number. The simple interpolator Arithmetic Mean was comparable and sometimes even better than the other techniques. Kriging, the most complex technique, was not the absolute best interpolator over all situations as perhaps expected. The spatial dependence for the 11 soil variables was studied by preparing contour maps by punctual Kriging. Sand and Ca²⁺ were also mapped by block Kriging estimates.

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Muller, Eugene 1951. "In situ measurement of the cohesion of a cemented alluvial soil." Thesis, The University of Arizona, 1989. http://hdl.handle.net/10150/277090.

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A modified plate load (MPL) test was developed to measure the in situ cohesion of a carbonate or caliche cemented soil. The MPL test was performed on the crest of a vertical cut in alluvial soil with a steel plate loaded until the soil failed. A three-dimensional slope stability analysis was then used to back calculate soil cohesion. In situ test results were used in conjunction with laboratory testing of deaggregated soils samples to completely define the Mohr-Coulomb strength parameters of the in situ soil. In order to check the result of the in situ test procedure, the field test conditions were modeled for use in a two-dimensional slope stability analysis using the computer program CSLIP1. A comparison of the results shows reasonable values of soil cohesion were obtained using the MPL test method.

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Galioto, Thomas Robert. "The influence of elevation on the humic-fulvic acid ratio in soils of the Santa Catalina Mountains, Pima County, Arizona." Thesis, The University of Arizona, 1985. http://hdl.handle.net/10150/191859.

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An elevational study of organic matter components was made of shallow soils of the Santa Catalina Mountains, Pima county, Arizona. At nineteen elevations (900 to 2700 m), total carbon, extractable organic carbon, humin carbon (tightly bound organic carbon), humic acid carbon, fulvic acid carbon, humic-fulvic acid ratios and E4/E6 ratios were determined. Parameters except the humic-fulvic acid ratios showed high correlations, R² at least .78, with elevation. Of these only the E4/E6 ratio was negatively correlated with elevation. Uncorrelated humic-fulvic acid ratios indicate no proprotional trend of the relative proportions of humic and fulvic acids. The E4/E6 ratio decrease with elevation agreed with all parameters. Humic acids are older, larger and contain higher concentrations of aromatics with increasing elevation. The humic-fulvic acid ratio, based on classical organic matter separation, does not produce a discriptively useful means for a range of climatically different soils. The E4/E6 ratio is more useful in evaluating soil genesis via composition.

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Books on the topic "Soils – Arizona – Coconino County"

1

Jorgensen, Wendell. Soil survey of Coconino County area, Arizona, North Kaibab part. [Washington, D.C.?]: Natural Resources Conservation Service, 2005.

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Jorgensen, Wendell. Soil survey of Mohave County area, Arizona, northeastern part, and part of Coconino County. [Washington, D.C.]: U.S. Dept. of Agriculture, Natural Resources Conservation Service, 2004.

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Greer, Bonnie J. Coconino County, Arizona marriage index. [Ariz.]: B.J. Greer and N. Warden, 1992.

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K, Davis Owen, and Arizona State Museum. Cultural Resource Management Division., eds. Prehistory of the upper basin Coconino County, Arizona. [Tucson]: Cultural Resource Management Division, Arizona State Museum, University of Arizona, 1986., 1986.

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Ahrens, Robert J. Soil survey of Hopi Area, Arizona, parts of Coconino and Navajo counties. [Washington, D.C.?]: The Service, 1996.

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Ahrens, Robert J. Soil survey of Hopi area, Arizona, parts of Coconino and Navajo counties. [Washington, D.C.?]: The Service, 1996.

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Weir, Gordon Whitney. Geologic map of the Long Valley quadrangle, Coconino County, Arizona. Reston, VA: U.S. Geological Survey, 1994.

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Survey, United States Geological. Geologic Map of the Johnson Quadrangle, Kane County, Utah and Coconino County, Arizona. S.l: s.n, 1986.

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Prevost, Deborah J. Soil survey of Hualapai-Havasupai area, Arizona: Parts of Coconino, Mohave, and Yavapai Counties. [Washington, D.C.?]: The Service, 1999.

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Prevost, Deborah J. Soil survey of Hualapai-Havasupai area, Arizona: Parts of Coconino, Mohave, and Yavapai Counties. [Washington, D.C.?]: The Service, 1999.

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Conference papers on the topic "Soils – Arizona – Coconino County"

1

Lucas, Spencer G., Heitor Francischini, Paula Dentzien-Dias, and Bill Ludlow. "MORE THAN CHELICHNUS IN THE LOWER PERMIAN COCONINO SANDSTONE: NEW TETRAPOD FOOTPRINT LOCALITIES IN COCONINO COUNTY, ARIZONA." In Joint 70th Annual Rocky Mountain GSA Section / 114th Annual Cordilleran GSA Section Meeting - 2018. Geological Society of America, 2018. http://dx.doi.org/10.1130/abs/2018rm-313462.

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Farmer, E. Christa, Aaron Hampton, Deana Hsu, Mark Jason, Andrew Lewis, and Miranda Maliszka. "LEAD IN SUBURBAN SOILS NEAR MAJOR ROADWAYS IN NASSAU COUNTY, NY." In GSA Annual Meeting in Phoenix, Arizona, USA - 2019. Geological Society of America, 2019. http://dx.doi.org/10.1130/abs/2019am-332900.

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Chartier, Lauren, Ben K. Odhiambo, Matthew C. Ricker, and Josephine Antwi. "BIOGEOCHEMISTRY OF RECLAIMED SAND-MINED SOILS IN THE ATLANTIC COASTAL PLAIN, CAROLINE COUNTY, VIRGINIA, USA." In GSA Annual Meeting in Phoenix, Arizona, USA - 2019. Geological Society of America, 2019. http://dx.doi.org/10.1130/abs/2019am-337880.

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Youberg, Ann M., Joseph B. Loverich, Michael J. Kellogg, and Jon E. Fuller. "BEFORE THE WILDFIRE: ASSESSING POST-FIRE DEBRIS FLOW PROBABILITIES AND POTENTIAL INUNDATIONS ZONES FOR PRE-FIRE MITIGATION EFFORTS, A CASE STUDY FROM COCONINO COUNTY, ARIZONA." In Joint 70th Annual Rocky Mountain GSA Section / 114th Annual Cordilleran GSA Section Meeting - 2018. Geological Society of America, 2018. http://dx.doi.org/10.1130/abs/2018rm-314085.

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Reports on the topic "Soils – Arizona – Coconino County"

1

Doelling, Hellmut H., and Grant C. Willis. Geologic map of the Smoky Mountain 30' x 60' quadrangle, Kane and San Juan Counties, Utah, and Coconino County, Arizona. Utah Geological Survey, May 2006. http://dx.doi.org/10.34191/m-213.

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Doelling, Hellmut H., and Grant C. Willis. Geologic map of the Smoky Mountain 30' x 60' quadrangle, Kane and San Juan Counties, Utah, and Coconino County, Arizona. Utah Geological Survey, May 2006. http://dx.doi.org/10.34191/m-213dm.

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Knudsen, Tyler R., Adam I. Hiscock, William R. Lund, and Steve D. Bowman. Geologic Hazards of the Bullfrog and Wahweap High-Use Areas of Glen Canyon National Recreation Area, San Juan, Kane, and Garfield Counties, Utah, and Coconino County, Arizona. Utah Geological Survey, May 2020. http://dx.doi.org/10.34191/ss-166.

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Geologic map of the Coconino Point and Grandview Point quadrangles, Coconino County, Arizona. US Geological Survey, 1985. http://dx.doi.org/10.3133/i1644.

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Geologic map of the Turkey Mountain Quadrangle, Coconino County, Arizona. US Geological Survey, 1993. http://dx.doi.org/10.3133/mf2230.

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Geologic Map of the Cane Quadrangle, Coconino County, Northern Arizona. US Geological Survey, 2001. http://dx.doi.org/10.3133/mf2366.

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Geologic map of the Long Valley quadrangle, Coconino County, Arizona. US Geological Survey, 1994. http://dx.doi.org/10.3133/gq1735.

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Geologic map of the Johnson quadrangle, Kane County, Utah, and Coconino County, Arizona. US Geological Survey, 1985. http://dx.doi.org/10.3133/gq1602.

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Geologic Map of the House Rock Quadrangle, Coconino County, Northern Arizona. US Geological Survey, 2001. http://dx.doi.org/10.3133/mf2364.

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Geologic Map of the House Rock Spring Quadrangle, Coconino County, Northern Arizona. US Geological Survey, 2001. http://dx.doi.org/10.3133/mf2367.

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