High Mountain Asia(HMA),known as the"Asian Water Tower",is the Earth’s critical water source and provides important ecosystem services for millions of people in the downstream[1].Due to its high altitude an...High Mountain Asia(HMA),known as the"Asian Water Tower",is the Earth’s critical water source and provides important ecosystem services for millions of people in the downstream[1].Due to its high altitude and extensive cryosphere,HMA is sensitive and vulnerable to climate change[1-3].Currently,HMA has been experiencing a notable temperature increase at a rate twice that of the global average,accompanied by complex changes in precipitation patterns[1,4,5].展开更多
Geographic simulation models can be used to explore and better understand the geographical environment. Recent advances in geographic and socio-environmental research have led to a dramatic increase in the number of m...Geographic simulation models can be used to explore and better understand the geographical environment. Recent advances in geographic and socio-environmental research have led to a dramatic increase in the number of models used for this purpose. Some model repositories provide opportunities for users to explore and apply models,but few provide a general evaluation method for assessing the applicability and recognition of models. In this study,an academic impact evaluation method for models is proposed. Five indices are designed based on their pertinence. The analytical hierarchy process is used to calculate the index weights,and the academic impacts of models are quantified with the weighted sum method. The time range is controlled to evaluate the life-term and annual academic impacts of the models. Some models that met the evaluation criteria from different domains are then evaluated. The results show that the academic impact of a model can be quantified with the proposed method,and the major research areas that models impact are identified.展开更多
基金supported by the Second Tibetan Plateau Scientific Expedition and Research Program(2019QZKK0906)the National Natural Science Foundation of China(52479055)+2 种基金the National Key R&D Program of China(2023YFC3209900)the Fundamental Research Funds for the Central Universities,Peking University(7100604495)the Excellent Young Scientists Fund of the National Natural Science Foundation of China。
文摘High Mountain Asia(HMA),known as the"Asian Water Tower",is the Earth’s critical water source and provides important ecosystem services for millions of people in the downstream[1].Due to its high altitude and extensive cryosphere,HMA is sensitive and vulnerable to climate change[1-3].Currently,HMA has been experiencing a notable temperature increase at a rate twice that of the global average,accompanied by complex changes in precipitation patterns[1,4,5].
基金supported by National Key Research and Development Program of China(Grant number 2022YFF0711604)the General Project of the NSF of China(Grant number 42071363).
文摘Geographic simulation models can be used to explore and better understand the geographical environment. Recent advances in geographic and socio-environmental research have led to a dramatic increase in the number of models used for this purpose. Some model repositories provide opportunities for users to explore and apply models,but few provide a general evaluation method for assessing the applicability and recognition of models. In this study,an academic impact evaluation method for models is proposed. Five indices are designed based on their pertinence. The analytical hierarchy process is used to calculate the index weights,and the academic impacts of models are quantified with the weighted sum method. The time range is controlled to evaluate the life-term and annual academic impacts of the models. Some models that met the evaluation criteria from different domains are then evaluated. The results show that the academic impact of a model can be quantified with the proposed method,and the major research areas that models impact are identified.
