Ken Sun
7 Papers
Ken Sun is an academic researcher. The author has contributed to research in topics: Environmental science & Biology. The author has an hindex of 2, co-authored 5 publications.
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Papers
The optimal allocation and the evaluation of water resources carrying capacity in Shendong mining area
TL;DR: In this paper , a gray forecast model was used to predict the water demand of the economic-social-ecological system of the mining area from 2020 to 2030 under different scenarios, and a multiobjective optimization model was established with the objective function to optimize the water resources allocation in Shendong mining area.
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The impact of industrial structure on the environment pollution and its spatial-temporal differences in Henan, China
TL;DR: Wang et al. as discussed by the authors used the latest available data of the whole Henan, the prefecture-level cities and the different types of industries from 2008 to 2019 to measure the temporal and spatial evolution of IS using the IS rationalization index, the IS advanced index and the IS change index.
13
The coupling coordination and spatiotemporal evolution of industrial water-energy-CO2 in the Yellow River Basin.
Ken Sun,Jingmin Han,Qianru Wu,Weisheng Xie,Wenbo He,Zhenzhen Yang,Yuanbiao Wang,Jiacheng Liu,Enhui Shi +8 more
TL;DR: This study evaluates the industrial water-energy-CO2 system in the Yellow River Basin, China, from 1999 to 2019, finding improving development levels, high coupling, and good coordination, with suggestions for integrated resource management and intra-basin cooperation.
12
Ecological security evaluation and early warning in the water source area of the Middle Route of South-to-North Water Diversion Project.
Ken Sun,Wenbo He,Tianshu Yan,Chang Liu,Zhenzhen Yang,Jingmin Han,Weisheng Xie +6 more
TL;DR: Zhang et al. as discussed by the authors constructed an ecological security evaluation index system based on the Driving force, Pressure, State, Impact and Response (DPSIR) model, used the combination of Analytic Hierarchy Process and entropy weighting method to evaluate the ecological security of each district and county in Nanyang from 2000 to 2020, and used the auto regressive integrated moving average (ARIMA) model to predict the future trend of ecological security in the water source area from 2021 to 2030.