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1

Cary, Lawrence E. Techniques for estimating selected parameters of the U.S. Geological Survey's Precipitation-Runoff Modeling System in eastern Montana and northeastern Wyoming. Helena, Mont: U.S. Dept. of the Interior, U.S. Geological Survey, 1991.

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2

Catherine, Hill Mary, United States. Dept. of Energy, and Geological Survey (U.S.), eds. Modflow-2000, the U.S. Geological Survey modular ground-water model: User guide to the observation, sensitivity, and parameter-estimation processes and three post-processing programs. Denver, Colo: U.S. Dept. of the Interior, U.S. Geological Survey, 2000.

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3

Catherine, Hill Mary, United States. Dept. of Energy., and Geological Survey (U.S.), eds. Modflow-2000, the U.S. Geological Survey modular ground-water model: User guide to the observation, sensitivity, and parameter-estimation processes and three post-processing programs. Denver, Colo: U.S. Dept. of the Interior, U.S. Geological Survey, 2000.

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4

C, Hill Mary, United States. Dept. of Energy., and Geological Survey (U.S.), eds. MODFLOW-2000: The U.S. Geological Survey modular ground-water model--user guide to the observation, sensitivity, and parameter-estimation processes, and three post-processing programs. Denver, Colo: U.S. Dept. of the Interior, U.S. Geological Survey, 2000.

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5

Catherine, Hill Mary, United States. Dept. of Energy, and Geological Survey (U.S.), eds. Modflow-2000, the U.S. Geological Survey modular ground-water model: User guide to the observation, sensitivity, and parameter-estimation processes and three post-processing programs. Denver, Colo: U.S. Dept. of the Interior, U.S. Geological Survey, 2000.

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6

Catherine, Hill Mary, United States. Dept. of Energy, and Geological Survey (U.S.), eds. Modflow-2000, the U.S. Geological Survey modular ground-water model: User guide to the observation, sensitivity, and parameter-estimation processes and three post-processing programs. Denver, Colo: U.S. Dept. of the Interior, U.S. Geological Survey, 2000.

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7

Geological Survey (U.S.), ed. Estimation of Hydraulic Parameters from an Unconfined Aquifer Test Conducted in a Glacial Outwash Deposit, Cape Cod, Massachusetts, U.S. Geological Survey, Professional Paper 1629, 2001. [S.l: s.n., 2001.

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8

Catherine, Hill Mary, United States. Dept. of Energy, and Geological Survey (U.S.), eds. Modflow-2000, the U.S. Geological Survey modular ground-water model: User guide to the observation, sensitivity, and parameter-estimation processes and three post-processing programs. Denver, Colo: U.S. Dept. of the Interior, U.S. Geological Survey, 2000.

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9

Catherine, Hill Mary, United States. Dept. of Energy., and Geological Survey (U.S.), eds. Modflow-2000, the U.S. Geological Survey modular ground-water model: User guide to the observation, sensitivity, and parameter-estimation processes and three post-processing programs. Denver, Colo: U.S. Dept. of the Interior, U.S. Geological Survey, 2000.

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10

Catherine, Hill Mary, United States. Dept. of Energy, and Geological Survey (U.S.), eds. Modflow-2000, the U.S. Geological Survey modular ground-water model: User guide to the observation, sensitivity, and parameter-estimation processes and three post-processing programs. Denver, Colo: U.S. Dept. of the Interior, U.S. Geological Survey, 2000.

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11

Geological Survey (U.S.), ed. Atlas of Relations Between Climatic Parameters and Distributions of Important Trees and Shrubs in North America--Introduction and Conifers, U.S. Geological Survey Professional Paper 1650-A. [S.l: s.n., 1999.

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12

Geological Survey (U.S.), ed. Atlas of Relations Between Climatic Parameters and Distributions of Important Trees and Shrubs in North America: Alaska species and ecoregions..., U.S. Geological Survey Professional Paper 1650-D, 2006. [S.l: s.n., 2006.

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13

Chouchan, J. L., M. Bouchon, and E. Vernaz. Leaching Sensitivity to Geologic Environmental Parameters: Task 3. Bernan Associates, 1991.

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14

Sobczyk, Eugeniusz Jacek. Uciążliwość eksploatacji złóż węgla kamiennego wynikająca z warunków geologicznych i górniczych. Instytut Gospodarki Surowcami Mineralnymi i Energią PAN, 2022. http://dx.doi.org/10.33223/onermin/0222.

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Abstract:
Hard coal mining is characterised by features that pose numerous challenges to its current operations and cause strategic and operational problems in planning its development. The most important of these include the high capital intensity of mining investment projects and the dynamically changing environment in which the sector operates, while the long-term role of the sector is dependent on factors originating at both national and international level. At the same time, the conditions for coal mining are deteriorating, the resources more readily available in active mines are being exhausted, mining depths are increasing, temperature levels in pits are rising, transport routes for staff and materials are getting longer, effective working time is decreasing, natural hazards are increasing, and seams with an increasing content of waste rock are being mined. The mining industry is currently in a very difficult situation, both in technical (mining) and economic terms. It cannot be ignored, however, that the difficult financial situation of Polish mining companies is largely exacerbated by their high operating costs. The cost of obtaining coal and its price are two key elements that determine the level of efficiency of Polish mines. This situation could be improved by streamlining the planning processes. This would involve striving for production planning that is as predictable as possible and, on the other hand, economically efficient. In this respect, it is helpful to plan the production from operating longwalls with full awareness of the complexity of geological and mining conditions and the resulting economic consequences. The constraints on increasing the efficiency of the mining process are due to the technical potential of the mining process, organisational factors and, above all, geological and mining conditions. The main objective of the monograph is to identify relations between geological and mining parameters and the level of longwall mining costs, and their daily output. In view of the above, it was assumed that it was possible to present the relationship between the costs of longwall mining and the daily coal output from a longwall as a function of onerous geological and mining factors. The monograph presents two models of onerous geological and mining conditions, including natural hazards, deposit (seam) parameters, mining (technical) parameters and environmental factors. The models were used to calculate two onerousness indicators, Wue and WUt, which synthetically define the level of impact of onerous geological and mining conditions on the mining process in relation to: —— operating costs at longwall faces – indicator WUe, —— daily longwall mining output – indicator WUt. In the next research step, the analysis of direct relationships of selected geological and mining factors with longwall costs and the mining output level was conducted. For this purpose, two statistical models were built for the following dependent variables: unit operating cost (Model 1) and daily longwall mining output (Model 2). The models served two additional sub-objectives: interpretation of the influence of independent variables on dependent variables and point forecasting. The models were also used for forecasting purposes. Statistical models were built on the basis of historical production results of selected seven Polish mines. On the basis of variability of geological and mining conditions at 120 longwalls, the influence of individual parameters on longwall mining between 2010 and 2019 was determined. The identified relationships made it possible to formulate numerical forecast of unit production cost and daily longwall mining output in relation to the level of expected onerousness. The projection period was assumed to be 2020–2030. On this basis, an opinion was formulated on the forecast of the expected unit production costs and the output of the 259 longwalls planned to be mined at these mines. A procedure scheme was developed using the following methods: 1) Analytic Hierarchy Process (AHP) – mathematical multi-criteria decision-making method, 2) comparative multivariate analysis, 3) regression analysis, 4) Monte Carlo simulation. The utilitarian purpose of the monograph is to provide the research community with the concept of building models that can be used to solve real decision-making problems during longwall planning in hard coal mines. The layout of the monograph, consisting of an introduction, eight main sections and a conclusion, follows the objectives set out above. Section One presents the methodology used to assess the impact of onerous geological and mining conditions on the mining process. Multi-Criteria Decision Analysis (MCDA) is reviewed and basic definitions used in the following part of the paper are introduced. The section includes a description of AHP which was used in the presented analysis. Individual factors resulting from natural hazards, from the geological structure of the deposit (seam), from limitations caused by technical requirements, from the impact of mining on the environment, which affect the mining process, are described exhaustively in Section Two. Sections Three and Four present the construction of two hierarchical models of geological and mining conditions onerousness: the first in the context of extraction costs and the second in relation to daily longwall mining. The procedure for valuing the importance of their components by a group of experts (pairwise comparison of criteria and sub-criteria on the basis of Saaty’s 9-point comparison scale) is presented. The AHP method is very sensitive to even small changes in the value of the comparison matrix. In order to determine the stability of the valuation of both onerousness models, a sensitivity analysis was carried out, which is described in detail in Section Five. Section Six is devoted to the issue of constructing aggregate indices, WUe and WUt, which synthetically measure the impact of onerous geological and mining conditions on the mining process in individual longwalls and allow for a linear ordering of longwalls according to increasing levels of onerousness. Section Seven opens the research part of the work, which analyses the results of the developed models and indicators in individual mines. A detailed analysis is presented of the assessment of the impact of onerous mining conditions on mining costs in selected seams of the analysed mines, and in the case of the impact of onerous mining on daily longwall mining output, the variability of this process in individual fields (lots) of the mines is characterised. Section Eight presents the regression equations for the dependence of the costs and level of extraction on the aggregated onerousness indicators, WUe and WUt. The regression models f(KJC_N) and f(W) developed in this way are used to forecast the unit mining costs and daily output of the designed longwalls in the context of diversified geological and mining conditions. The use of regression models is of great practical importance. It makes it possible to approximate unit costs and daily output for newly designed longwall workings. The use of this knowledge may significantly improve the quality of planning processes and the effectiveness of the mining process.
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15

Moench, A. F., Denis R. Leblanc, United States Geological Survey, and Stephen P. Garabedian. Estimation of Hydraulic Parameters from an Unconfined Aquifer Test Conducted in a Glacial Outwash Deposit, Cape Cod, Massachusetts (U.S. Geological Survey Professional Paper, 1629.). Geological Survey (USGS), 2000.

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16

Thompson, Robert Stephen. Atlas of Relations Between Climatic Parameters and Distributions of Important Trees and Shrubs in North America: Additional Conifers, Hardwoods, and M (U.S. Geological Survey Circular). Geological Survey (USGS), 2001.

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17

Atlas of Relations Between Climatic Parameters and Distributions of Important Trees and Shrubs in North America--, etc., U.S. Geological Survey, Professional Paper 1650-C, December 2000. [S.l: s.n., 2001.

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18

Atlas of Relations Between Climatic Parameters and Distributions of Important Trees and Shrubs in North America - additional conifers, hardwoods, and monocots, U.S. Geological Survey, Professional Paper 1650-C, December 2000. [S.l: s.n., 2001.

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19

Claussen, Martin, Anne Dallmeyer, and Jürgen Bader. Theory and Modeling of the African Humid Period and the Green Sahara. Oxford University Press, 2017. http://dx.doi.org/10.1093/acrefore/9780190228620.013.532.

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There is ample evidence from palaeobotanic and palaeoclimatic reconstructions that during early and mid-Holocene between some 11,700 years (in some regions, a few thousand years earlier) and some 4200 years ago, subtropical North Africa was much more humid and greener than today. This African Humid Period (AHP) was triggered by changes in the orbital forcing, with the climatic precession as the dominant pacemaker. Climate system modeling in the 1990s revealed that orbital forcing alone cannot explain the large changes in the North African summer monsoon and subsequent ecosystem changes in the Sahara. Feedbacks between atmosphere, land surface, and ocean were shown to strongly amplify monsoon and vegetation changes. Forcing and feedbacks have caused changes far larger in amplitude and extent than experienced today in the Sahara and Sahel. Most, if not all, climate system models, however, tend to underestimate the amplitude of past African monsoon changes and the extent of the land-surface changes in the Sahara. Hence, it seems plausible that some feedback processes are not properly described, or are even missing, in the climate system models.Perhaps even more challenging than explaining the existence of the AHP and the Green Sahara is the interpretation of data that reveal an abrupt termination of the last AHP. Based on climate system modeling and theoretical considerations in the late 1990s, it was proposed that the AHP could have ended, and the Sahara could have expanded, within just a few centuries—that is, much faster than orbital forcing. In 2000, paleo records of terrestrial dust deposition off Mauritania seemingly corroborated the prediction of an abrupt termination. However, with the uncovering of more paleo data, considerable controversy has arisen over the geological evidence of abrupt climate and ecosystem changes. Some records clearly show abrupt changes in some climate and terrestrial parameters, while others do not. Also, climate system modeling provides an ambiguous picture.The prediction of abrupt climate and ecosystem changes at the end of the AHP is hampered by limitations implicit in the climate system. Because of the ubiquitous climate variability, it is extremely unlikely that individual paleo records and model simulations completely match. They could do so in a statistical sense, that is, if the statistics of a large ensemble of paleo data and of model simulations converge. Likewise, the interpretation regarding the strength of terrestrial feedback from individual records is elusive. Plant diversity, rarely captured in climate system models, can obliterate any abrupt shift between green and desert state. Hence, the strength of climate—vegetation feedback is probably not a universal property of a certain region but depends on the vegetation composition, which can change with time. Because of spatial heterogeneity of the African landscape and the African monsoon circulation, abrupt changes can occur in several, but not all, regions at different times during the transition from the humid mid-Holocene climate to the present-day more arid climate. Abrupt changes in one region can be induced by abrupt changes in other regions, a process sometimes referred to as “induced tipping.” The African monsoon system seems to be prone to fast and potentially abrupt changes, which to understand and to predict remains one of the grand challenges in African climate science.
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