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

被引:9
作者
Contreras, E. [1 ]
Aguilar, C. [1 ]
Polo, M. J. [1 ]
机构
[1] Univ Cordoba, Andalusian Inst Earth Syst Res, Dynam & Hydrol Res Grp, Cordoba 14071, Spain
关键词
Non-point source pollution; Water quality; Precipitation; Modeling; Regulation; Guadalquivir River; NUTRIENT EXPORT COEFFICIENTS; PRIORITY MANAGEMENT AREAS; LAND-USE CHANGE; GUADALQUIVIR ESTUARY; UNCERTAINTY ANALYSIS; MODEL USE; PRECIPITATION DATASET; TRANSPORT; PATTERNS; RUNOFF;
D O I
10.1016/j.scitotenv.2023.167261
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
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(2) 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-2 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-2 = 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.
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页数:15
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