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Spatial average aquifer recharge through atmospheric chloride mass balance and its uncertainty in continental Spain

机译:西班牙大气层中大气氯化物质量平衡带来的空间平均含水层补给及其不确定性

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The atmospheric chloride mass balance (CMB) method allows spatial evaluations of the average diffuse aquifer recharge by rainfall () in large and varied territories when long-term steady conditions can be assumed. Often, the distributed average CMB variables necessary to calculate have to be estimated from the available variable-length data series, which may be of suboptimal quality and spatial coverage. This paper explains the use of these data and the reliability of the results in continental Spain, chosen as a large and varied territory. The CMB variables have been regionalized by ordinary kriging at the same 4976 nodes of a 10 km × 10 km grid. Nodal values vary from 14 to 810 mm year, 90% ranging from 30 to 300 mm year. The recharge-to-precipitation ratios vary from 0.03 in low-permeability formations and semiarid areas to 0.65 in some carbonate massifs. Integrated average results for the whole of continental Spain yield a potential aquifer recharge of 64 km year, the net recharge over permeable formations (40% of the territory) being 32 km year. Two main sources of uncertainty affecting (given by the coefficient of variation, ), induced by the inherent natural variability of the variables () and from mapping (), have been segregated. The average is 0.13 and could be improved with longer data series. The average is 0.07 and may be decreased with better data coverage. The estimates were compared with other regional and local recharge estimates, being 4% and 1% higher, respectively. Copyright © 2012 John Wiley & Sons, Ltd.
机译:大气氯化物质量平衡(CMB)方法可以在假定长期稳定条件的情况下,通过大范围和不同区域的降雨()来对平均扩散含水层补给量进行空间评估。通常,必须从可用的可变长度数据序列中估算出计算所需的分布式平均CMB变量,该序列可能具有次优的质量和空间覆盖率。本文解释了这些数据的使用以及结果在西班牙大陆(被选为广阔而多样的领土)中的可靠性。 CMB变量已通过普通克里金法在10 km×10 km网格的相同4976个节点上进行了分区。节点值从14到810毫米/年不等,90%的范围从30到300毫米/年。补给与沉淀的比率从低渗透地层和半干旱地区的0.03到某些碳酸盐岩块的0.65不等。西班牙整个大陆的综合平均结果表明,潜在的含水层补给量为每年64公里,渗透性地层(占领土的40%)的净补给量为每年32公里。由变量()和映射()的固有自然可变性引起的不确定性影响的两个主要来源(由变异系数给出)已被隔离。平均值为0.13,可以通过更长的数据序列来提高。平均值为0.07,可能会随着更好的数据覆盖率而降低。将该估算值与其他区域和本地补给估算值进行了比较,分别高出4%和1%。版权所有©2012 John Wiley&Sons,Ltd.

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