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评估地中海管制流域非点源污染潜力时考虑年度变异性。

Accounting for the annual variability when assessing non-point source pollution potential in Mediterranean regulated watersheds.

作者信息

Contreras E, Aguilar C, Polo M J

机构信息

Dynamics and Hydrology Research Group, Andalusian Institute for Earth System Research, University of Cordoba, 14071 Cordoba, Spain.

出版信息

Sci Total Environ. 2023 Dec 1;902:167261. doi: 10.1016/j.scitotenv.2023.167261. Epub 2023 Sep 28.

Abstract

The characterization of non-point source pollution at the watershed scale difficult owing to its distributed nature combined with the lack of suitable measurements for validation. This study proposes the classification of land within a Mediterranean watershed according to its potential source of non-point pollution, considering interannual precipitation variability and dam regulation effects. For this purpose, the potential non-point pollution index (PNPI) developed by the Italian Environmental Protection Agency was modified to include annual local precipitation behavior, named local annual PNPI (APNPI). PNPI and APNPI were computed for the Guadalquivir River (Spain), which has a drainage surface of 57,500 km and is highly regulated by >60 reservoirs. The results reflect the vulnerability along the Guadalquivir River in terms of the spatially variable non-point pollutant nature of its contributing watersheds. The annual average nitrate concentration values on the southern side exceeded the average value on the northern side by almost five times and showed a statistically significant power fit with the PNPI, with an R of 0.65. Long-term available nitrate data (1981/82-2006/07) on a monthly scale at the outlets of some watersheds allowed us to rank priority pollutant source areas within the watershed. The power fits between the annual average nitrate loads and the APNPI (R = 0.51-0.99) were statistically significant, which validated the utility of adding the variability of precipitation at an annual scale as a dynamic factor in the index. The APNPI can constitute a simple dynamic classification index for assessing the relative risk of non-point source pollution across a large area, especially in data-scarce situations.

摘要

由于非点源污染具有分布式特性,且缺乏合适的验证测量方法,因此在流域尺度上对其进行特征描述颇具难度。本研究提出根据地中海流域内土地的潜在非点源污染来源进行分类,同时考虑年际降水变异性和大坝调节效应。为此,对意大利环境保护局开发的潜在非点源污染指数(PNPI)进行了修改,以纳入当地年降水量变化情况,即局部年度PNPI(APNPI)。计算了瓜达尔基维尔河(西班牙)的PNPI和APNPI,该河流域面积为57,500平方公里,受到60多座水库的高度调节。结果反映了瓜达尔基维尔河流域因其贡献流域的非点源污染物性质在空间上的变化而具有的脆弱性。南侧的年平均硝酸盐浓度值比北侧高出近五倍,并且与PNPI呈现出具有统计学意义的幂拟合关系,R值为0.65。一些流域出口处长期(1981/82 - 2006/07)的月度可用硝酸盐数据使我们能够对流域内的优先污染物源区进行排名。年平均硝酸盐负荷与APNPI之间的幂拟合关系(R = 0.51 - 0.99)具有统计学意义,这验证了将年尺度降水变异性作为动态因素纳入该指数的实用性。APNPI可构成一个简单的动态分类指数,用于评估大面积非点源污染的相对风险,尤其是在数据稀缺的情况下。

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