River Basin Management Based on the Mechanisms of Water Rights Trading

Zhang, G.Z.; Liu, H.; Jia, Deng

doi:10.1016/j.proenv.2010.10.075

Cited by 13 publications

(4 citation statements)

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“…5,6 The river water environment system is an essential link between the ocean and the mainland, and the river can provide water for local life, agriculture and industrial development. In recent decades, the industrialization, urbanization and agricultural development have led to an increase in the concentrations of DTEs in rivers, 7,8 some of which have polluted the aquatic environment. 9,10 Accumulation of toxic metals will lead to environmental quality deterioration, biodiversity reduction and human health hazards.…”

Section: Introductionmentioning

confidence: 99%

Geochemistry, health risk assessment and statistical source identification of dissolved trace elements in surface water of the Chishui River, China

Song,

Chao,

Jiang

et al. 2024

Environ. Sci.: Water Res. Technol.

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Section: Introductionmentioning

confidence: 99%

Geochemistry, health risk assessment and statistical source identification of dissolved trace elements in surface water of the Chishui River, China

Song,

Chao,

Jiang

et al. 2024

Environ. Sci.: Water Res. Technol.

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“…When the initial water rights allocation scheme is executed, water rights trading is an effective action [29,30]. Regarding water rights trading, researchers have studied water rights trading mechanisms [31], the third-party effect of water rights trading [22], games [18] and bargaining [32] among water users, and water trading models [33]. The prerequisite for the smooth implementation of water rights trading is that water users are satisfied with and execute the initial water rights allocation schemes made by water administrative authorities [15,34].…”

Section: Introductionmentioning

confidence: 99%

A Bilevel Optimal Water Allocation Model Considering Water Users’ Satisfaction Degree and Water Rights Transaction: A Case Study in Qingzhang River Basin, China

Chu

Xiao

Zhu

2023

Water

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The contradiction between water supply and demand in China is becoming increasingly prominent. A water allocation scheme that satisfies various water users can effectively solve it. In this paper, considering both individual rationality and collective rationality, a bilevel optimal allocation model for river basin water resources is established. Firstly, water users’ satisfaction degree was defined, to characterize their satisfaction with the water resource allocation scheme, and principles of water users’ satisfaction degree were mathematically expressed, to represent water users’ negotiation activities in the initial water rights allocation. Then, based on the initial allocation results, water users’ water intake quantity, water-saving amount, and water-trade amount were optimized by water rights trading. Finally, an algorithm based on the response surface was put forward for solving the proposed bilevel optimal allocation model. The validity and feasibility of the model and algorithm were verified by a case study in the Qingzhang River Basin in China.

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“…More importantly, these two studies also show that the watershed unit is suitable for investigating the spatial variability on the environmental migration and human ingestion exposure of chemicals. The watershed is a natural region with solid integrity, and the upstream and downstream areas are closely interrelated [ 14 ]. Inevitably, the emission and pollution of heavy metals in upstream areas would directly affect the downstream area [ 15 ], making it a critical factor influencing human health risks.…”

Section: Introductionmentioning

confidence: 99%

Spatio-Temporal Distribution of Environmental Health Risk of Heavy Metals in Industrial Wastewater of China during 1999–2018

Han

Zhou

Chen

2021

IJERPH

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In recent decades, environmental health risk caused by heavy metals in industrial wastewater (EHR-IHM) has become a serious issue globally, especially for China. Given the spatial difference of heavy metal emissions, hydrogeography, population distribution, etc., it is essential to estimate China’s EHR-IHM from a high-resolution perspective. Based on the framework of USEtox, this study constructs an environmental health risk assessment method for heavy metals discharged from industrial wastewater by coupling the Pollutant Accumulation Model (PAM). This method also considers the process of heavy metal flows between upstream and downstream areas. Based on this constructed method, we investigate the spatio-temporal distribution of EHR-IHM of As, Cd, Cr(VI), Hg, and Pb in China from 1999 to 2018. Results showed that the EHR-IHM in China increased rapidly during 1999–2007 and decreased gradually during 2007–2018, with the highest Damage Level (DL) of 6.8 × 104 disability-adjusted life years (DALY). As and Cr(VI) were the major heavy metal pollutants, which induced 58.9–70.6% and 23.9–36.2% of the total EHR-IHM, respectively. Intake of aquatic products was the dominant exposure route, accounting for over 84.1% of national EHR-IHM, followed by drinking water intake, accounting for 9.5–15.8%. Regarding spatial distribution, the regions with high EHR-IHM are mainly distributed in the middle–lower reaches of the Yangtze River, southeast coastal cities, Bohai Rim, etc.

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River Basin Management Based on the Mechanisms of Water Rights Trading

Cited by 13 publications

References 1 publication

Geochemistry, health risk assessment and statistical source identification of dissolved trace elements in surface water of the Chishui River, China

Geochemistry, health risk assessment and statistical source identification of dissolved trace elements in surface water of the Chishui River, China

A Bilevel Optimal Water Allocation Model Considering Water Users’ Satisfaction Degree and Water Rights Transaction: A Case Study in Qingzhang River Basin, China

Spatio-Temporal Distribution of Environmental Health Risk of Heavy Metals in Industrial Wastewater of China during 1999–2018

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