The typological approach to submarine groundwater discharge (SGD)

被引:40
作者
Bokuniewicz, H [1 ]
Buddemeier, R
Maxwell, B
Smith, C
机构
[1] SUNY Stony Brook, Marine Sci Res Ctr, Stony Brook, NY 11794 USA
[2] Univ Kansas, Kansas Geol Survey, Lawrence, KS 66047 USA
[3] Swarthmore Coll, Dept Engn, Swarthmore, PA 19081 USA
基金
美国国家科学基金会;
关键词
submarine groundwater; shallow coastal ecosystem; land-sea interface; submarine springs;
D O I
10.1023/B:BIOG.0000006125.10467.75
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Coastal zone managers need to factor submarine groundwater discharge (SGD) in their integration. SGD provides a pathway for the transfer of freshwater, and its dissolved chemical burden, from the land to the coastal ocean. SGD reduces salinities and provides nutrients to specialized coastal habitats. It also can be a pollutant source, often undetected, causing eutrophication and triggering nuisance algal blooms. Despite its importance, SGD remains somewhat of a mystery in most places because it is usually unseen and difficult to measure. SGD has been directly measured at only about a hundred sites worldwide. A typology generated by the Land - Ocean Interaction in the Coastal Zone (LOICZ) Project is one of the few tools globally available to coastal resource managers for identifying areas in their jurisdiction where SGD may be a confounding process. ( LOICZ is a core project of the International Geosphere/Biosphere Programme.) Of the hundreds of globally distributed parameters in the LOICZ typology, a SGD subset of potentially relevant parameters may be culled. A quantitative combination of the relevant hydrological parameters can serve as a proxy for the SGD conditions not directly measured. Web-LOICZ View, geospatial software then provides an automated approach to clustering these data into groups of locations that have similar characteristics. It permits selection of variables, of the number of clusters desired, and of the clustering criteria, and provides means of testing predictive results against independent variables. Information on the occurrence of a variety of SGD indicators can then be incorporated into regional clustering analysis. With such tools, coastal managers can focus attention on the most likely sites of SGD in their jurisdiction and design the necessary measurement and modeling programs needed for integrated management.
引用
收藏
页码:145 / 158
页数:14
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