気候変動が河川窒素汚染に与える影響を解明(New Study Reveals Impacts of Climate Shifts on Riverine Nitrogen Pollution)

2026-01-13 中国科学院(CAS)

本研究は、中国科学院南京地理・湖沼研究所の研究チームが、中国南東部の亜熱帯流域を対象に、気候変動と土地利用変化が河川中の溶存無機態窒素(DIN)流出に与える影響を解析したものである。HYPEモデルを用い、2000~2019年の流出量とDIN輸送を再現した結果、春夏季のDIN増加は農業施肥と土壌・河川内の脱窒過程が主因であることが示された。将来予測では、耕地拡大と森林減少によりDIN濃度・負荷が大幅に増加し、さらに気候変動が流出変動を通じて窒素汚染を増幅させる可能性が示唆された。

<関連情報>

気候変動は、中国亜熱帯流域における窒素流出への土地利用変化の影響を増幅すると予想される Climate change expected to amplify land-use change impacts on nitrogen export from a subtropical catchment in China

Sanyuan Jiang, Adrian D. Werner, Lu Gao, Michael Rode
Journal of Hydrology  Available online: 29 December 2025
DOI:https://doi.org/10.1016/j.jhydrol.2025.134888

気候変動が河川窒素汚染に与える影響を解明(New Study Reveals Impacts of Climate Shifts on Riverine Nitrogen Pollution)

Highlights

  • DIN export most sensitive to denitrification in the soil and river systems;
  • Increase of agricultural land increases river DIN concentration and DIN load;
  • Climate change plays a larger role on hydrology than land-use change;
  • Climate change amplifies the effects of land-use change on DIN export.

Abstract

Despite numerous modeling investigations of nutrient export, less is known about the effects of changes in climate and land use on dissolved inorganic nitrogen (DIN) export in subtropical catchments, which is needed to develop effective watershed management strategies. This study examines DIN export from a typical subtropical catchment (Yifeng River catchment, southeastern China) to evaluate the primary causes of variations in DIN export and the impacts of expected future changes in climate and land use. Sensitivity analysis and calibration of the Hydrological Predictions for the Environment (HYPE) model was performed using PEST and Differential Evolution Markov Chain algorithm (DE-MC). HYPE reproduced streamflow dynamics (2000–2019) sufficiently well and captured inter-annual variability in DIN export, which appears to be mainly controlled by fertilizer application rate, denitrification in the soil and river systems, causing higher loads in spring and summer. Land-use change alone (i.e. increased arable land by 7.0% and reduced forest areas by 7.5%; from 2015 to 2050) is estimated to increase riverine DIN concentration and load by 12.8% and 19.1%, respectively in response to increased nitrogen inputs. Annual evapotranspiration and runoff kept stable (insignificant change of 0.5%). Climate change (2031–2050) is expected to lead to different trends in runoff in various climate models and emission scenarios (−24.0 to 24.8%), while the average DIN concentration will increase by up to 36.0% compared to the baseline conditions of 2000–2019, depending on specific hydroclimatic variability. In combination, future land-use and climate changes are expected to increase the riverine DIN load by up to 32.6%. The study indicated that climate effect is dominant in runoff and climate change could amplify land-use change impacts on nitrogen pollution in subtropical catchments such as the Yifeng River catchment, mainly due to lower dilution capacity with decreased precipitation and river discharge.

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