Junyuan Shen

Dr. Junyuan Shen


Research Focus & Metrics

Academic Career Length

7Years (2020-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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6 July 2023 in Journal of Environmental Management
Verified
Journal Article
Closed access
QYQian-Wen Yu
Qian-Wen Yu
ZSZehao Sun
Zehao Sun
JSJunyuan Shen
Junyuan Shen
XXXia Xu
Xia Xu
QHQingye Han
Qingye Han
MZMin Zhu
Min Zhu

6 January 2021 in Environmental Science and Pollution Research
Verified
Journal Article
Closed access
PDF file
Changfeng ShiChangfeng Shi
Changfeng Shi
XZXinyun Zeng
Xinyun Zeng
QYQian-Wen Yu
Qian-Wen Yu
JSJunyuan Shen
Junyuan Shen
ALAng Li
Ang Li

JSJunyuan Shen
Junyuan Shen
FWFengping Wu
Fengping Wu
QYQian-Wen Yu
Qian-Wen Yu
ZZZhaofang Zhang
Zhaofang Zhang
ZLZhang Lina
Zhang Lina
Zhou FangZhou Fang
Zhou Fang
Water rights trading is an effective way to optimize the allocation of water resources. However, the existing practice of water rights trading in China lacks any consideration of the practical value of the exchanged water. This deficiency may lead to disputes between transferor and transferee during the implementation of the water rights trading contract. This paper puts forward the concept of Standard Water (SW). First, getting the original value of exchanged water by the shadow price model based on input-output table; Second, based on the original value, building the economic profits or costs model to obtain the practical value of exchanged water; Third, establishing SW quantity measurement model according to the principle of rewarding excellence and punishing inferiority, so as to convert the water quantity of exchanged water into SW quantity. With the standardization method, this paper takes the water rights transaction between Dongyang City and Yiwu City in 2000 as an example to carry out case study, and provides policy recommendations. The results show that when the contract requires the provision of 49.999 million m3 water of Class I the quality, if the exchanged water quality provided is in Class II-V, the corresponding SW will be decreased to 48.699–37.399 million m3. The application of this research will be conducive to ensuring the fairness and durability of the water rights trading processes.

7 January 2023 in Environmental Science and Pollution Research
Verified
Journal Article
Closed access
PDF file
QYQian-Wen Yu
Qian-Wen Yu
FWFengping Wu
Fengping Wu
JSJunyuan Shen
Junyuan Shen
XXXia Xu
Xia Xu

QYQian-Wen Yu
Qian-Wen Yu
ZSZehao Sun
Zehao Sun
JSJunyuan Shen
Junyuan Shen
XXXia Xu
Xia Xu
XCxiangnan chen
xiangnan chen
The initial emission rights allocation is the key measure to achieve the goal of total amount control and deepen the emission trading system. Although many studies have focused on the modeling of initial emission rights allocation, such as using game theory and multi-objective optimization methods, few studies have observed the hierarchical relationship of mutual interference and restriction between watershed management agency and local governments in each subarea during allocation. This relationship directly affects the rationality of the results of regional emission rights allocation. In this study, a leader-follower hierarchical decision model (LFHDM) for allocating initial emission rights in a basin is developed. Based on the bilevel programming approach, the model simulates the interactive decision-making process between the watershed management agency of the upper-level model (LFHDM-U) and the local government of the lower-level model (LFHDM-L) in the allocation under total amount control. A case study of China’s Yellow River Basin is conducted to demonstrate the feasibility and practicality of the model. Findings reveal that, compared with the single-level model, the developed LFHDM has higher satisfaction with the allocation scheme. Under different scenarios, the overall satisfaction of the configuration schemes of COD and NH3-N in each province and autonomous region remains above 0.9. In addition, the allocation volumes of COD and NH3-N in each province of the Yellow River Basin in planning year increase with the enhancement of allowable assimilative capacity of water bodies, but the interval gap of satisfaction with allocation schemes gradually narrows. It shows that when the allowable assimilation capacity of a water body is low, the decision-making of the allocation scheme needs to be more cautious. Moreover, for the Yellow River Basin, apart from Qinghai and Sichuan, the task of reducing water pollutants in other provinces in the next few years is very arduous. The average reduction of total COD and NH3-N in the basin is about 48% and 46%, respectively.