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Water plays a significant role in the life cycle of plants. However, insufficient or excess of water can be detrimental and pose a serious threat to plants.
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Flood risk assessment involves careful planning and analysis to ensure the safety of communities near water retention structures. Capacity contours are a vital tool in this process, as they illustrate the potential spread of water at specific levels in a given area. In the context of building a bund across a small valley, these contours play a critical role in evaluating the safety of nearby residential areas.In this example, the bund is intended to store stormwater in the valley. The engineers...
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Hazard Rate01:11

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The hazard rate, also known as the hazard function or failure rate, is a statistical measure used to describe the instantaneous rate at which an event occurs, given that the event has not yet happened. From a probabilistic perspective, it represents the likelihood that a subject will experience the event in a very small time interval, conditional on surviving up to the beginning of that interval. In terms of frequency, the hazard rate can be viewed as the ratio of the number of events to the...
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Precipitation and coprecipitation methods can be used to separate a mixture of ions in a solution. In qualitative inorganic analysis, ions that form sparingly soluble precipitates with the same reagent are separated based on the differences in solubility products. For example, consider the separation of Cu(II) and Fe(II) ions by precipitation as insoluble sulfides. First, copper(II) sulfide is precipitated by the addition of acidic H2S, where the dissociation of H2S is suppressed. Adding H2S...
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Related Experiment Video

Updated: Jan 4, 2026

Watershed Planning within a Quantitative Scenario Analysis Framework
12:44

Watershed Planning within a Quantitative Scenario Analysis Framework

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Moving from drought hazard to impact forecasts.

Samuel J Sutanto1, Melati van der Weert2, Niko Wanders3

  • 1Hydrology and Quantitative Water Management Group, Environmental Sciences Department, Wageningen University and Research, Droevendaalsesteeg 3a, 6708PB, Wageningen, The Netherlands. samuel.sutanto@wur.nl.

Nature Communications
|November 1, 2019
PubMed
Summary

This study shows that forecasting drought impacts is feasible using machine learning. Developing drought impact databases is crucial for improving early warning systems and drought management.

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Area of Science:

  • Hydrology
  • Climate Science
  • Data Science

Background:

  • Current drought early warning systems primarily forecast drought hazards (e.g., river flow deficits).
  • Information on forecasted drought impacts, essential for effective drought management, is largely unavailable.
  • Integrating impact forecasting into early warning systems is a critical unmet need.

Purpose of the Study:

  • To assess the feasibility of forecasting drought impacts.
  • To develop and evaluate machine-learning models that relate hydro-meteorological drought indices to reported drought impacts.
  • To highlight the importance of drought impact data for enhancing drought management strategies.

Main Methods:

  • Utilized machine learning algorithms to connect forecasted hydro-meteorological drought indices with historical drought impact data.
  • Trained models using over 50 months of reported drought impacts.
  • Assessed the predictive capability of the models for future drought impacts.

Main Results:

  • Machine learning models demonstrated feasibility in forecasting drought impacts several months in advance.
  • Model performance was positively correlated with the availability of extensive historical drought impact data (over 50 months).
  • The study confirms the critical role of comprehensive drought impact databases.

Conclusions:

  • Forecasting drought impacts is achievable and can significantly enhance drought management.
  • The development and maintenance of robust drought impact databases are essential for creating effective drought impact functions.
  • Operational drought early warning systems should expand their scope to include impact forecasting alongside hazard forecasting.