Instituto de Investigaciones Marinas y Costeras (IIMyC), Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), 7600, Mar del Plata, Buenos Aires, Argentina.
Environ Monit Assess. 2013 Aug;185(8):6943-61. doi: 10.1007/s10661-013-3077-7. Epub 2013 Jan 25.
The assessment of water vulnerability and pollution hazard traditionally places particular emphasis on the study on groundwaters more than on surface waters. Consequently, a GIS-based Lake Pollution Hazard Index (LPHI) was proposed for assessing and mapping the potential pollution hazard for shallow lakes due to the interaction between the Potential Pollutant Load and the Lake Vulnerability. It includes easily measurable and commonly used parameters: land cover, terrain slope and direction, and soil media. Three shallow lake ecosystems of the southeastern Pampa Plain (Argentina) were chosen to test the usefulness and applicability of this suggested index. Moreover, anthropogenic and natural medium influence on biophysical parameters in these three ecosystems was examined. The evaluation of the LPHI map shows for La Brava and Los Padres lakes the highest pollution hazard (≈30 % with high to very high category) while Nahuel Rucá Lake seems to be the less hazardous water body (just 9.33 % with high LPHI). The increase in LPHI value is attributed to a different loading of pollutants governed by land cover category and/or the exposure to high slopes and influence of slope direction. Dissolved oxygen and biochemical oxygen demand values indicate a moderately polluted and eutrophized condition of shallow lake waters, mainly related to moderate agricultural activities and/or cattle production. Obtained information by means of LPHI calculation result useful to perform a local diagnosis of the potential pollution hazard to a freshwater ecosystem in order to implement basic guidelines to improve lake sustainability.
传统上,水资源脆弱性和污染危害评估特别强调对地下水的研究,而对地表水的研究则较少。因此,提出了一种基于 GIS 的湖泊污染危害指数(LPHI),用于评估和绘制由于潜在污染物负荷与湖泊脆弱性相互作用而导致的浅层湖泊潜在污染危害。它包括易于测量和常用的参数:土地覆盖、地形坡度和方向以及土壤介质。选择阿根廷东南潘帕平原的三个浅层湖泊生态系统来测试该建议指数的有用性和适用性。此外,还研究了这些三个生态系统中人为和自然介质对生物物理参数的影响。LPHI 图的评估表明,拉布拉瓦湖和洛斯帕德雷斯湖的污染危害最高(≈30%,属于高到极高类别),而纳韦尔鲁卡湖似乎是危害较小的水体(仅 9.33%,LPHI 较高)。LPHI 值的增加归因于受土地覆盖类别控制的污染物不同的加载,以及对高坡度的暴露和坡度方向的影响。溶解氧和生化需氧量值表明浅层湖泊水处于中度污染和富营养化状态,主要与中度农业活动和/或牛群生产有关。通过 LPHI 计算获得的信息可用于对淡水生态系统的潜在污染危害进行局部诊断,以便实施改善湖泊可持续性的基本准则。