Indicator water

Nutrients in watercourses

Nitrate and phosphate in watercourses are good indicators of water pollution by nutrients which is anthropogenic, i.e. caused by human activity. Nutrients enter the water through municipal wastewater or discharge from intensively fertilised agricultural land. A higher nitrate or phosphate concentration does not normally have negative effects in a watercourse, but high phosphate discharges into standing waters can cause eutrophication. Nutrients also pollute the seas into which the rivers flow.

Assessment of the state
medium medium
Assessment of the trend
unsatisfactory unsatisfactory
poor 2022: 2.29007633587786 unsatisfactory 2022: 3.05343511450382 fair 2022: 12.9770992366412 good 2022: 41.2213740458015 very good 2022: 40.4580152671756 poor 2021: 1.69491525423729 unsatisfactory 2021: 2.54237288135593 fair 2021: 14.4067796610169 good 2021: 44.9152542372881 very good 2021: 36.4406779661017 poor 2020: 2.58620689655172 unsatisfactory 2020: 2.58620689655172 fair 2020: 16.3793103448276 good 2020: 42.2413793103448 very good 2020: 36.2068965517241 poor 2019: 0.854700854700855 unsatisfactory 2019: 3.41880341880342 fair 2019: 17.9487179487179 good 2019: 47.8632478632479 very good 2019: 29.9145299145299 poor 2018: 3.2520325203252 unsatisfactory 2018: 7.31707317073171 fair 2018: 8.94308943089431 good 2018: 42.2764227642276 very good 2018: 38.2113821138211 poor 2017: 0 unsatisfactory 2017: 4.42477876106195 fair 2017: 11.5044247787611 good 2017: 43.3628318584071 very good 2017: 40.7079646017699 poor 2016: 0 unsatisfactory 2016: 1.8018018018018 fair 2016: 9.90990990990991 good 2016: 45.045045045045 very good 2016: 43.2432432432432 poor 2015: 0.900900900900901 unsatisfactory 2015: 2.7027027027027 fair 2015: 9.00900900900901 good 2015: 41.4414414414414 very good 2015: 45.945945945946 poor 2014: 0.900900900900901 unsatisfactory 2014: 1.8018018018018 fair 2014: 2.7027027027027 good 2014: 53.1531531531532 very good 2014: 41.4414414414414 poor 2013: 0.900900900900901 unsatisfactory 2013: 0 fair 2013: 7.20720720720721 good 2013: 50.4504504504504 very good 2013: 41.4414414414414 poor 2012: 0.900900900900901 unsatisfactory 2012: 0.900900900900901 fair 2012: 10.8108108108108 good 2012: 45.045045045045 very good 2012: 42.3423423423423 poor 2011: 1.81818181818182 unsatisfactory 2011: 2.72727272727273 fair 2011: 8.18181818181818 good 2011: 47.2727272727273 very good 2011: 40
Assessment distribution of the NAWA trend monitoring stations for the parameter "Nitrate".

Data for the graph: Excel
Source: FOEN
poor 2022: 12.0300751879699 unsatisfactory 2022: 6.76691729323308 fair 2022: 12.0300751879699 good 2022: 18.0451127819549 very good 2022: 51.1278195488722 poor 2021: 6.77966101694915 unsatisfactory 2021: 10.1694915254237 fair 2021: 12.7118644067797 good 2021: 22.0338983050847 very good 2021: 48.3050847457627 poor 2020: 11.2068965517241 unsatisfactory 2020: 7.75862068965517 fair 2020: 12.0689655172414 good 2020: 24.1379310344828 very good 2020: 44.8275862068966 poor 2019: 9.4017094017094 unsatisfactory 2019: 6.83760683760684 fair 2019: 15.3846153846154 good 2019: 16.2393162393162 very good 2019: 52.1367521367521 poor 2018: 13.9344262295082 unsatisfactory 2018: 4.91803278688525 fair 2018: 9.83606557377049 good 2018: 20.4918032786885 very good 2018: 50.8196721311475 poor 2017: 9.82142857142857 unsatisfactory 2017: 7.14285714285714 fair 2017: 11.6071428571429 good 2017: 19.6428571428571 very good 2017: 51.7857142857143 poor 2016: 8.18181818181818 unsatisfactory 2016: 6.36363636363636 fair 2016: 11.8181818181818 good 2016: 22.7272727272727 very good 2016: 50.9090909090909 poor 2015: 11.1111111111111 unsatisfactory 2015: 9.25925925925926 fair 2015: 13.8888888888889 good 2015: 22.2222222222222 very good 2015: 43.5185185185185 poor 2014: 8.10810810810811 unsatisfactory 2014: 7.20720720720721 fair 2014: 11.7117117117117 good 2014: 20.7207207207207 very good 2014: 52.2522522522522 poor 2013: 6.36363636363636 unsatisfactory 2013: 7.27272727272727 fair 2013: 10 good 2013: 28.1818181818182 very good 2013: 48.1818181818182 poor 2012: 10.8108108108108 unsatisfactory 2012: 5.40540540540541 fair 2012: 16.2162162162162 good 2012: 22.5225225225225 very good 2012: 45.045045045045 poor 2011: 19.2660550458716 unsatisfactory 2011: 4.58715596330275 fair 2011: 12.8440366972477 good 2011: 22.0183486238532 very good 2011: 41.2844036697248
Assessment distribution of the NAWA Trend monitoring stations for the parameter "Phosphate".

Data for the graph: Excel
Source: FOEN
Comment

82% of monitoring stations for nitrate and 69% for phosphate are in good or very good condition. Targets are however being exceeded locally in agricultural and developed regions (see map). Problems occur mainly in small streams with a high wastewater content or a high proportion of intensive farming in the catchment. These small watercourses are covered by the NAWA monitoring network.

The fluctuations between years are due to normal fluctuations in the runoff conditions rather than to a change in the pollution situation. As no significant improvement is observed between 2011 and 2022, the evolution of nutrients in watercourses is considered unsatisfactory.

Nevertheless long term time series do indicate that in general water pollution by nutrients has fallen significantly in the last few decades. The reduction in phosphorus content was particularly evident following the ban on phosphates in detergents in 1986. The phosphorus content continued to fall after 1990 due to the progressive expansion of wastewater treatment plants. Efforts in agriculture to reduce diffuse nitrate and phosphorus discharges, e.g. by less nutrient-intensive soil management and WWTP optimisation can contribute to a further reduction in nutrient concentrations in the water.

Method

The water quality is recorded jointly by the federal government and the cantons under the NAWA National Surface Water Quality Monitoring at approximately 140 monitoring stations. The chemical state of the water is evaluated on the basis of the phosphate and nitrate concentration by the method “Physico-chemical surveys, nutrients” in the modular stepwise procedure.

Basis for assessment of the trend

For the parameter "Nitrate"

Targeted trend Initial value Final value Variation in % Observed trend Assessment
Growth Average 2011-2013 Average 2020-2022 -9.40% Decrease negative
Basis: very good, good

For the parameter "Phosphate"

Targeted trend Initial value Final value Variation in % Observed trend Assessment
Growth Average 2011-2013 Average 2020-2022 0.60% Stabilisation unsatisfactory
Basis: very good, good
 
Last updated on: 18.04.2024

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