首页> 外文会议>American Society of Mining and Reclamation National Conference >USING SPREADSHEETS TO PREDICT STREAM SALINITIES IN THE YAMPA RIVER BASIN COAL FIELDS, NORTHWESTERN COLORADO
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USING SPREADSHEETS TO PREDICT STREAM SALINITIES IN THE YAMPA RIVER BASIN COAL FIELDS, NORTHWESTERN COLORADO

机译:使用电子表格在科罗拉多州西北山区山区煤炭田中预测流盐水

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Spreadsheets were used for predicting stream salinities in the Yampa River watershed. The concentration of total dissolved solids (TDS) represents salinity. The spreadsheets calculate TDS at 22 locations by summing the flow-weighted TDS values upstream from each point. The flow-weighted TDS values were compiled from publicly available monitoring data and from predicted future mining inputs. This spreadsheet method provides only a rough prediction of TDS concentrations because it does not precisely account for non-mining sources like irrigation and municipal runoff. Also, significant error is introduced by the differences in sampling times between locations. Spreadsheets were developed for eight different scenarios with various combinations of moisture conditions (precipitation), season (flow), and pumping of underground mine water to the surface. Calculated TDS values were posted on a GIS map of the watershed for visualizing mining impacts along stream segments. The eight scenarios for the spreadsheets predict the largest percentage increase in TDS occurs when there is uncontrolled mine pumping in a relatively dry year during low seasonal stream flow.
机译:电子表格用于预测山河流域中的流盐水。总溶解固体(TDS)的浓度代表盐度。电子表格通过将来自每个点上游的流量加权的TDS值求和来计算22个位置的TDS。流量加权的TDS值由公开可用的监控数据和预测的未来挖掘输入编制。此电子表格方法仅提供TDS浓度的粗略预测,因为它不准确地考虑灌溉和市政径流等非采矿来源。此外,在位置之间采样时间的差异引入了显着的错误。为八种不同情景开发了八种不同场景的电子表格,水分条件(降水),季节(流量)和泵送地下矿井水的各种组合。计算出的TDS值在流域的GIS映射上发布,用于沿着流段可视化采矿冲击。电子表格的八种场景预测,当在低季节性流流程期间在相对干燥的年内有不受控制的矿井时,发生了TDS的最大百分比。

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