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    25 2022.12
人類與環境相互作用高性能模拟
日期:2022.12.25 點擊:

研究團隊:人類與環境相互作用高性能數值模拟

Research team: High-performance computing (HPC) based human-environment interaction modeling Lab

 

團隊研究方向:團隊介紹:人類與環境耦合關系及變化的定量研究和模拟預測已成為未來地球科學發展的重要方向。關鍵科學問題是如何在滿足人類發展需求的同時實現生态安全、環境清潔和資源可持續利用。主要内容是基于高性能計算發展自然變化與人類活動的相互作用過程數值模拟系統、厘清人類與自然要素間的相關關系、量化生态環境的安全阈值、衡量自然與人類系統的韌性和恢複能力,為在自然規律的制約下規範人類行為、規劃社會發展、促進環境和社會經濟的可持續協同發展提供科學支撐和分析工具。本團隊已有工作基礎包括:(1)人類與環境相互作用關系與過程表達理論框架(FOTARFields, Objects, Time, GeoAgents & Relations, IJGIS 2009);(2)在人類社會模拟方面,已基于地理智能體(GeoAgent)建立了面向知識表達的人類與環境相互作用模拟原型系統(GeoAgent-based Knowledge System);(3)在自然環境方面,已經建立了基于DNDC模型的全國與全球尺度農業生态系統碳--水生物地球化學過程模拟與糧食産量預報系統。團隊成員黃逍博士通過開發 Coupler 耦合器和利用MPI 并行技術,将 DNDC 科學計算過程與參數優化、情景預測、風險分析等衆多功能模塊耦合,構建了大區域生态過程預測與決策支持系統 GDNDC;(4)在應用方面已經開展了全國尺度糧食生産、氮排放和水環境質量演變關系的量化研究、全國農業旱災風險與社會經濟對糧食安全的影響研究、區域洪水過程與社會經濟變化對洪水災害風險影響的定量研究、人類活動對陸海碳傳輸過程的影響研究等。近期團隊将在加強農田生态系統碳、氮、磷、水等要素耦合模拟基礎上,增加水文和水環境演變過程、養殖及排放過程、社會經濟過程的微觀機制和宏觀趨勢定量模拟;增強農業生産和水環境預報預警能力,探尋人類發展與環境保護相協調的可持續發展新路徑。團隊研究成果入選科技部十三五以來中國天文與地球科學前沿進展基礎研究重大成果、中國科學院“2019年中國代表性科研成果、中國農科院“2020中國農業科學十大進展

Introduction: Quantitatively modeling and predicting human-environment relations (HER) and their changes are to be an important research direction in future Earth Science. The key question is how to meet the demands of human development without scarifying ecological security, polluting environment, overusing resources. Research subjects include developing HPC-based digital systems for modeling human-environment interaction processes, quantifying the relations among human and natural components, clarifying the safe-operating boundaries according to ecosystem functioning, analyzing stability and resilience of human-environment interactions, so as to guide and regulate human activities within environmental limitations, support social development planning, and facilitate sustainable development through using the scientific modeling tools. The accomplished research works of the team include: (1) The FOTAR representation framework Fields, Objects, Time, GeoAgents & Relations, IJGIS 2009for modeling human-environment interactive interactions and relations; (2) a prototype of GeoAgent-based Knowledge System for knowledge-oriented representation of human-environmental interactions; (3) a DNDC-based biogeochemical modeling system for simulating carbon, nitrogen and water processes, and predicting grain yields in agroecosystems at the national and global scales. Dr. Xiao Huang has expanded the site-level DNDC to regional decision support system GDNDC by integrating model parameter optimalization, risk analysis and scenario analysis; (4) application of such tools for quantifying the changing relations among national agricultural production, anthropological nitrogen discharges, and water quality changes, assessing agricultural drought risks and flood risks under socioeconomic changes, and human impacts on land-to-sea carbon transfer. Recent research priorities are enhancing model development of carbon-nitrogen-phosphorous-water coupling in land ecosystems; embracing hydrological, hydraulic and aquatic environment modeling; livestock and fish farming modeling; socioeconomic modeling for increasing the early warning capabilities for agricultural production and environmental changes, and exploring sustainable approaches to meet the common goals of social development and environmental protection. The team published works have been selected as one of major scientific achievements of China basic research development in Astronomy and Earth Science during the 13th Five-Year plan that issued by the Ministry of Science and Technology of P.R. China, 2022; one of China’s representative scientific achievements in 2019, issued by Chinese Academy of Sciences, 2021; and the 2020 Top Ten Progresses in China's Agricultural Science, issued by Chinese Agricultural Academy of Sciences, 2020.

團隊負責人:喻朝慶教授 (chaoqingyu@hainanu.edu.cn).美國賓夕法尼亞州立大學地理信息科學博士。先後在中國水利水電科學研究院、清華大學、清華海峽研究院等單位工作,現作為海南省C類高層次人才引進365英国上市官网在线,任生态與環境學院教授。他的研究興趣包括農田生态系統的碳氮過程和作物生長模拟,水資源和水環境容量定量評估、以及陸海碳氮傳輸過程模拟等。他的研究團隊已經建立了全國和全球尺度的農田生物地球化學過程模拟系統,在國産超級計算機上實現了全球尺度農業碳氮水過程模拟和逐日糧食産量和預報。他領銜在Nature等期刊發表的研究論文首次探明了中國農業生産、氮排放和水環境質量的演化關系,量化了省級和全國尺度的氮排放安全阈值及超排量,明确了恢複水質的定量化管理目标,解決了氮排放安全阈值研究缺乏可靠的定量評估方法問題,為中國農業生産、生态恢複和環境可持續發展戰略提供了科學支撐。

 

已有團隊骨幹:
1)黃逍博士 (513735525@qq.com),清華大學博士畢業,挪威生物經濟研究所(NIBIO)博士後,從事生物地球化學機制模拟、模型耦合器、農田生态系統模拟預測與不确定性評估和高性能并行計算與優化等。

2)喬聖超博士(996318 @hainanu.edu.cn),清華大學博士畢業,植被與土壤過程模拟,全球尺度作物生态演化及産量形成機制等。

 

在讀研究生:
1)博士生:韓博倫

2)碩士生:徐兆基、王江南


Team Leader: Prof. Chaoqing Yu, earned his Ph.D on geographical information science from the Pennsylvania State University, and worked for China Institute of Water Resources and Hydropower Research (IWHR) , Tsinghua University and Cross-Strait Tsinghua Research Institute. Now he is a professor in the College of Ecology and Environment at Hainan University, introduced as a C-level talent to the Hainan Province. His research interests include modeling the biogeochemical process of carbon, nitrogen and crop growth in agroecosystems; water resource and pollution thresholds, as well as the nutrient transfer from land to sea. His research team has established the national and global scale biogeochemical modeling system to simulate daily carbon and nitrogen emissions and predict crop yield. He has published research papers in Nature and many other journals for studying  quantitative relationships among China’s nation-wide agriculture, nitrogen discharge, and water quality. They identified the safe-level thresholds and the exceeded amount of nitrogen discharge into water environment in mainland China, quantified the sustainable nitrogen-management goals of restoring water quality without scarifying food production.

 

Team member:

(1)   Dr. Xiao Huang, Ph.D from Tsinghua University, Postdoc from NIBIO in Norway, interested in biogeochemical modeling, model coupler development, agroecosystem prediction, uncertainty analysis, High-performance parallel computing (HPC) and optimization. 

(2)   Dr. ShengChao, Qiao, Ph.D from Tsinghua University, interested in ecological process modeling of vegetation growth and soil changes, as well as global-scale crop evolution and yield formation.

 

Graduate students

(1)   Ph.D student: Mr. Bolun Han

(2)   M.S. students: Mr. Xu Zhaoji, Mr. Jiangnan Wang