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Updated: Jul 24, 2025

Integrating Remote Sensing with Species Distribution Models; Mapping Tamarisk Invasions Using the Software for Assisted Habitat Modeling SAHM
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使用基于树的机器学习方法开发多模型合集,以评估未来的可再生能源潜力:土耳其东部特拉斯的案例

Denizhan Guven1

  • 1Eurasia Institute of Earth Sciences, Istanbul Technical University, Maslak, Istanbul, 34469, Turkey. guvende@itu.edu.tr.

Environmental science and pollution research international
|July 8, 2023
PubMed
概括

土耳其东部特拉斯的未来可再生能源潜力显示,风力发电稳定,但太阳能发电量有前途. 农电压系统可以产生大量的灌水,使作物生长,发电和雨水收集成为可能.

关键词:
气候变化预测预测预测 预测 预测 预测全球气候模型全球气候模型机器学习 机器学习多模组合组合多模组合组合可再生能源是可再生的能源.共享的社会经济路径场景.

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