Related Experiment Video
Updated: Sep 19, 2025
10:28
Investigating the Relationship between Sea Surface Chlorophyll and Major Features of the South China Sea with Satellite Information
Published on: June 13, 2020
5.9K
Exploring stable isotope patterns in monthly precipitation across Southeast Asia using contemporary deep learning
Mojtaba Heydarizad1, Nathsuda Pumijumnong2, Masoud Minaei3,4
1State Key Laboratory of Marine Geology, Tongji University, Shanghai, People's Republic of China.
Isotopes in Environmental and Health Studies
|June 16, 2025
Summary
Machine learning, specifically deep neural networks (DNNs), can accurately simulate stable isotope precipitation in Southeast Asia. This approach overcomes data limitations in the region, advancing climate and water cycle research.
Area of Science:
- Hydrology and Climatology
- Machine Learning Applications
Background:
- Stable isotopes are vital for understanding tropical water cycles and climate dynamics.
- Southeast Asia faces challenges in collecting precipitation isotope data due to high costs and logistics.
- Limited isotope data hinders comprehensive climate analysis in the region.
Purpose of the Study:
- To develop and evaluate machine learning models for simulating stable isotope contents in tropical precipitation.
- To assess the influence of climate teleconnection indices and local meteorological parameters on precipitation isotopes.
- To compare the performance of deep learning models against traditional statistical methods.
Main Methods:
- Utilized a deep neural network (DNN) model for stable isotope simulation.
- Compared DNN performance with a partial least squares regression (PLSR) model.
- Employed SHAP (SHapley Additive exPlanations) for feature importance and model interpretability.
Main Results:
- The DNN model demonstrated superior accuracy in simulating stable isotope contents across six Southeast Asian stations.
- Feature importance analysis confirmed the significant impact of precipitation and potential evaporation.
- SHAP analysis revealed nonlinear relationships between key features and predicted isotope values.
Conclusions:
- Deep learning models are effective for simulating stable isotopes in tropical precipitation, addressing data scarcity.
- The study provides a framework for applying machine learning to isotope hydrology in data-limited tropical regions.
- Findings enhance understanding of climate drivers influencing tropical water cycles.
More Related Videos
10:46A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data
Published on: December 9, 2015
10.8K
08:09Measuring and Mapping Patterns of Soil Erosion and Deposition Related to Soil Carbonate Concentrations Under Agricultural Management
Published on: September 12, 2017
11.9K
Related Concept Videos
01:17Precipitation and Co-precipitation
2.1K
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...
2.1K
01:12Precipitation Processes
609
The experimental conditions in a gravimetric analysis should be optimized to maximize the particle size and purity of the obtained precipitate. Ideally, the concentration of the precipitating reagent should be low with effective stirring to maintain low relative supersaturation for the growth of large crystals. In homogeneous precipitation, the precipitant is slowly generated by a chemical reaction in the solution to avoid local reagent excesses. For example, urea decomposes gradually to...
609
01:03Precipitation Gravimetry
7.7K
Precipitation gravimetry is based on converting an analyte into a sparingly soluble precipitate, which is separated by filtration and weighed. An ideal precipitate should be pure, insoluble, of known composition, and easily filtered from the reaction mixture.
In determining nickel by gravimetric analysis, a precipitant of ethanolic dimethylglyoxime is added to a hot nickel salt solution. This is quickly followed by the dropwise addition of dilute ammonia solution until precipitation occurs. A...
In determining nickel by gravimetric analysis, a precipitant of ethanolic dimethylglyoxime is added to a hot nickel salt solution. This is quickly followed by the dropwise addition of dilute ammonia solution until precipitation occurs. A...
7.7K
01:21Precipitation Titration Curve: Analysis
1.2K
The precipitation titration curve demonstrates the change in concentration of one reactant with the volume of titrant added. During the titration of chloride ions with silver nitrate, the precipitation titration curve is divided into three regions: before, at, and after the equivalence point. Before the equivalence point, low redissolution of the sparingly soluble silver chloride precipitate gives a low silver ion concentration. However, in the second region, representing the equivalence point,...
1.2K
01:19Precipitation Titration: Endpoint Detection Methods
2.1K
In argentometric precipitation titrations, endpoints can be detected visually by the Mohr, Volhard, and Fajans methods. In the Mohr method, adding a soluble chromate indicator gives an initial yellow color to the analyte solution. As the titrant is added, the first excess of silver ions forms a red silver chromate precipitate, marking the endpoint. The solution pH should be maintained at about 8 by adding solid CaCO3.
In the Volhard method, a standard excess of AgNO3 is first added to the...
In the Volhard method, a standard excess of AgNO3 is first added to the...
2.1K
01:50Global Climate Change
24.8K
Throughout its ~4.5 billion year history, the Earth has experienced periods of warming and cooling. However, the current drastic increase in global temperatures is well outside of the Earth’s cyclic norms, and evidence for human-caused global climate change is compelling. Paleoclimatology, the study of ancient climate conditions, provides ample evidence for human-caused global climate change by comparing recent conditions with those in the past.
24.8K