Predicting the ecological status of rivers and streams under different climatic and socioeconomic scenarios using Bayesian Belief Networks

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Predicting the ecological status of rivers and streams under different climatic and socioeconomic scenarios using Bayesian Belief Networks

机译：使用贝叶斯信仰网络预测不同气候和社会经济情景下的河流的生态状态

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Freshwater systems have increasingly been subjected to a multitude of human pressures and the re-establishment of their ecological integrity is currently a major worldwide challenge. Expected future climate and socioeconomic changes will most probably further exacerbate such challenges. Modelling techniques may provide useful tools to help facing these demands, but their use is still limited within ecological quality assessment of water resources due to its technical complexity.

机译：淡水系统越来越多地受到众多人类压力，重新建立其生态完整性目前是全球主要挑战的主要挑战。预计未来的气候和社会经济变化将大概进一步加剧了此类挑战。建模技术可以提供有用的工具来帮助面对这些需求，但由于其技术复杂性，它们的使用仍然有限于水资源的生态质量评估。

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《Limnologica》 |2020年第2020期|共15页
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正文语种 eng
中图分类陆地水文学、水文地理学（水象学）;
关键词
Bayesian Belief Network; Ecological Status; Global change; Rivers; Scenarios; Streams;

机译：贝叶斯信仰网络;生态地位;全球变化;河流;情景;流;

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1. Predicting the ecological status of rivers and streams under different climatic and socioeconomic scenarios using Bayesian Belief Networks [J] . Limnologica . 2020,第期

机译：使用贝叶斯信仰网络预测不同气候和社会经济情景下的河流的生态状态
2. A study of anthropogenic and climatic disturbance of the New River Estuary using a Bayesian belief network [J] . Farnaz Nojavan A., Song S. Qian, Hans W. Paerl, Marine pollution bulletin . 2014,第1期

机译：基于贝叶斯信念网络的新河口人为和气候扰动研究。
3. A Bayesian belief network framework to predict SOC dynamics of alternative management scenarios [J] . Dal Ferro N., Quinn C., Morari F. Soil & Tillage Research . 2018,第期

机译：贝叶斯信仰网络框架预测替代管理方案的SoC动态
4. Exploration of the ecological status of Mediterranean rivers: clustering, visualizing and reconstructing streams data using Generative Topographic Mapping [C] . D. Vicente, A. Vellido, E. Marti, International Conference on Data Mining; 2004; Malaga(ES) . 2004

机译：探索地中海河流的生态状况：使用生成的地形图对河流数据进行聚类，可视化和重建
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Predicting the ecological status of rivers and streams under different climatic and socioeconomic scenarios using Bayesian Belief Networks

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