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Review of precipitation monitoring studies in India—a search for regional patterns

机译:审查印度的降水监测研究-寻找区域格局

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This study is a review of rain chemistry measurements reported in India. Data from nearly 100 stations were reviewed with regard to sampling location, sampling method and chemical analyses. Some characteristic differences were found between the concentrations in different environments in line with known distributions of emissions. This was most clearly seen for SO_4~(2-) with median concentration increasing from rural and suburban to urban and industrial environments, with concentrations of HCO_3~- and H~+ varying the opposite way. Ca~(2+) concentration was higher in suburban and industrial environments compared to rural and urban. Concentration of NH_4~+ was lower in rural than in the other locations. Sea salt concentration (Na~+ and Cl~- in approximately constant proportion) was higher in urban than in rural locations at the same distance from the sea. The reported data from rural and suburban locations were used to derive large-scale concentration fields over India. With knowledge of emission fields and with the aid of output from a regional transport model it was possible to see some limited spatial resemblance between modelled and observed concentrations in cases of NH_4~+, NO_3~- and SO_4~(2-). For soil dust, current models are very crude but here some resemblance could be seen: primarily limited spatial resemblance with Ca~(2+), pH and HCO_3~- with generally increasing values towards NW. Four sites, at least two of them located in forested environments, had a mean rainwater pH close to neutral (concentration of H~+ and HCO_3~-about equal). Other sites had on average an excess of HCO_3~-, becoming very substantial in the direction of the Thar Desert in NW India. With this review we conclude that there is a need to better assure the quality of the data with regard to sampling methods, chemical analyses and spatial representativeness.
机译:这项研究是对印度报道的雨水化学测量的综述。审查了来自近100个站点的数据,涉及采样位置,采样方法和化学分析。根据已知的排放分布,在不同环境中的浓度之间发现了一些特征差异。对于SO_4〜(2-),这最为明显,中位数浓度从农村和郊区到城市和工业环境都在增加,而HCO_3〜-和H〜+的浓度却相反。与农村和城市相比,郊区和工业环境中的Ca〜(2+)浓度更高。农村地区NH_4〜+的浓度低于其他地区。在距海相同距离处,城市中的海盐浓度(Na〜+和Cl〜-的比例大致恒定)高于农村地区。来自农村和郊区的报道数据被用来推导印度上空的大规模集中场。有了排放场的知识,并借助区域运输模型的输出,有可能在NH_4〜+,NO_3〜-和SO_4〜(2-)的情况下在模拟浓度和观测浓度之间看到有限的空间相似性。对于土壤粉尘,目前的模型非常粗糙,但在这里可以看到一些相似之处:主要是有限的与Ca〜(2 +),pH和HCO_3〜-的空间相似性,并且通常朝NW增加。四个地点(其中至少两个位于森林环境中)的平均雨水pH值接近中性(H〜+和HCO_3〜的浓度大约相等)。其他站点的平均HCO_3〜-过量,在印度西北部的塔尔沙漠地区变得非常可观。通过这次审查,我们得出结论,有必要在采样方法,化学分析和空间代表性方面更好地确保数据质量。

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