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Projected intensification of precipitation extremes in the Kosi Basin using CMIP6 models. [PDF]
Singh AK, Roshni T, Singh V.
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The inclusion of sulphur at two inorganic nitrogen rates (0 and 150 kg N ha−1) improves plant productivity in a ryegrass–white clover sward and reduces nitrate‐N loss to groundwater in a free‐draining sandy loam soil. ABSTRACT Background Reducing nitrogen (N) losses to water, lessening reliance on inorganic fertiliser and maintaining agricultural ...
Donal Kinsella +2 more
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Increasing landslide susceptibility and intensity under climate change for Aotearoa New Zealand. [PDF]
Dreyer L +4 more
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Unseen but increasing: recent changes in risk of extreme precipitation over Southern Africa and Southeast Asia. [PDF]
de Perez EC +6 more
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Depth of rainfall induced landslides revealed by DEM of difference analysis using airborne LiDAR data in igneous terrains. [PDF]
Kudo Y, Uchida T, Tsushima M.
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Evaluation of rainwater harvesting system in university buildings for non-potable water demand. [PDF]
Chowdhury MAH, Akter A.
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Research on a dynamic early warning model based on refined threshold analysis: Case study of the Tanjiawan Landslide. [PDF]
Wang W, Yi W, Huang X, Wang Y, Wang Z.
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1997
More than any other element of the hydrologic cycle, rainfall exhibits pronounced fluctuations in time and space. Modeling of rainfall entails quantitative representation of the space-time fluctuations of rainfall. Rainfall models are used for a variety of hydroclimatological applications (see Foufoula-Georgiou and Krajewski, 1994 for a detailed review)
J. A. Smith, A. A. Bradley
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More than any other element of the hydrologic cycle, rainfall exhibits pronounced fluctuations in time and space. Modeling of rainfall entails quantitative representation of the space-time fluctuations of rainfall. Rainfall models are used for a variety of hydroclimatological applications (see Foufoula-Georgiou and Krajewski, 1994 for a detailed review)
J. A. Smith, A. A. Bradley
openaire +1 more source

