Effluent trading planning and its application in water quality management: A factor-interaction perspective

Quantifying the mutual effects of water trading and systematic water saving in a water-scarce watershed of China

In this study, a conjunctive water management model based on interval stochastic bi-level programming method (CM-ISBP) is proposed for planning water trading program as well as quantifying mutual effects of water trading and systematic water saving. CM-ISBP incorporates water resources assessment with soil and water assessment tool (SWAT), systematic water-saving simulation combined with water trading, and interval stochastic bi-level programming (ISBP) within a general framework. Systematic water saving involves irrigation water-saving technologies (sprinkler irrigation, micro-irrigation, low-pressure pipe irrigation), enterprise water-saving potential and water-saving subsidy. The CM-ISBP is applied to a real case of a water-scarce watershed (i.e. Dagu River watershed, China). Mutual effects of water trading and water-saving activities are simulated with model establishment and quantified through mechanism analysis. The fate of saved water under the systematic water saving is also revealed. The coexistence of the two systems would increase system benefits by [11.89, 12.19]%, and increase the water use efficiency by [40.04, 40.46]%. Thus mechanism that couples water trading and water saving is optimal and recommended according to system performance.

Water rights trading planning and its application in water resources management: A water-ecology-food nexus perspective

Nexus approach provides an effective perspective for implementing synergetic management of water resources. In this study, an interval two-stage chance-constrained water rights trading planning model under water-ecology-food nexus perspective (ITCWR-WEF) is proposed to analyze the interaction between water trading and water-ecology-food (WEF) nexus, which fills in the water resources management gaps from a novel nexus perspective. ITCWR-WEF incorporates hydrological simulation with soil and water assessment tool (SWAT), water rights configuration with interval two-stage chance-constrained programming (ITCP), and multi-criterion analysis with Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS). The developed ITCWR-WEF is applied to a real case of Daguhe watershed, which has characteristics of water scarcity, food producing areas and fragile ecosystem. Initial water rights allocation is addressed before the trading. Mechanisms analysis is designed to reveal mutual effect of water rights trading and WEF nexus. Optimal water management scenario is identified through multi-criterion analysis. Results reveal that the mechanism of water rights trading with WEF nexus under low constraint-violation risk level of water availability and environment capacity is recommended to promote the rational water resources allocation to balance the economic goals, water environment and water supply security, as well as ecological and food water demand guarantees.

Assessing and improving the outcomes of nonpoint source water quality trading policies in urban areas: A case study in Virginia

Nonpoint source (NPS) water quality trading (WQT) is a market-based approach to improving water quality. Past work has shown that these programs could increase localized pollutant loadings, in part by exporting water quality controls from urban to rural areas. Virginia's NPS WQT program has enabled thousands of transactions and may provide a model for other programs, but its impacts on urban water quality have not been thoroughly assessed. We quantify the impact of NPS WQT purchases in Virginia on water quality and hydrology in an urban catchment. We go on to assess outcomes of a policy alternative where buyers and sellers are collocated in the urban catchment. Simulation results show that NPS WQT increased total phosphorus (TP) loading by an average of 0.8 lbs TP/year for each 1.0 offsite credits purchased in the analyzed catchment. The TP loading increased in years with greater rainfall, such that TP loads were increased by up to 1.2 lbs TP/year for each offsite credit purchased. These loading increases may or may not be acceptable, depending on the cumulative number of purchases within an urban catchment and existing local water quality issues. In our policy alternative with buyers and sellers collocated in the catchment, we found that the TP increase from development was completely offset at the catchment scale, with a decrease of 4.3 lbs TP/year for each 1.0 credits purchased. This suggests that credits awarded for urban mitigation practices are undervalued compared with water quality requirements for credit purchasers. This undervaluation is a result of the Virginia trading program using one approach to compute the credit value for buyers and a different approach to compute the credit value for sellers. We demonstrate how using a single model to determine both buyer and seller credit values in urban areas could provide greater transparency and mitigate the risk of urban pollution hot spots. This work demonstrates the importance of consistency in the scale of pollutant load calculations between buyers and sellers for NPS WQT, and contributes novel insight into the implications of WQT for urban NPS pollution.

Collaborative optimal allocation of water resources and sewage discharge rights in watershed cities: considering equity among water sectors

Water supply systems in watershed cities face challenges due to increasing water demand and arbitrary sewage discharge allocations. Previous studies have primarily focused on water resource allocation and sewage discharge rights, neglecting the intricate interactions between the two. This study introduces a novel approach by integrating sewage discharge rights into the watershed's water resource allocation mechanism. A multi-objective optimization model was developed, employing the Gini coefficient to balance the equitable and economic aspects across various water sectors. This model takes into account the distinct water demands and sewage discharge requirements of different sectors. The findings of this study are as follows: (a) the Gini coefficients for water demand allocation and sewage discharge rights allocation exhibit simultaneous optimization and display consistent trends; (b) when the importance of sewage discharge relative to other water users increases, the return on investment for domestic and industrial water use decreases, but the fairness of water distribution improves; (c) proper allocation of sewage discharge rights can effectively enhance the economic value of agricultural water use. Overall, this strategy has the potential to enhance both the equality and economic benefits of the water supply system while ensuring the sustainable utilization of water and sewage rights in the basin cities.

Interval two-stage stochastic programming model under uncertainty for planning emission rights trading in the Yellow River basin of China

As a critical way to realize the optimal allocation of water environment capacity resources in the basin, emission rights trading faces multiple uncertainties, making it extremely hard and challenging to formulate appropriate decisions and plans. Therefore, this study uses interval two-stage stochastic programming (ITSP) method to model the emission rights trading process with multiple uncertainties. It can promote the secondary optimal allocation of the emission rights between the demander and the supplier after the initial allocation. Externalities caused by environmental problems are internalized through the form of emission rights trading, thereby reducing the transaction costs and promoting the coordination and integrity of water pollution control among governments in a basin. Finally, the Yellow River basin is taken as an example for case analysis. The results show that the net revenue of emission rights system in the transaction status is better than that in the non-transaction status, and the average gap of net income reaches [171.031, 193.056] billion yuan. Under different reduction policies, the average water pollutant emission reduction in transaction status is [451.15, 628.34] thousand tons, which is generally less than [516.57, 670.05] thousand tons in non-transaction status. As policies get stricter and assimilative capacity of water bodies dwindles, reduction shrinks, leading to higher risks and economic loss from being unable to meet the discharge demand. When reduction policies are relatively loose and assimilative capacity is high, emission rights trading volume peaks. At this time, the trading volume of COD reached [29.05, 40.76] thousand tons, and that of NH₃-N reached [3.74, 4.31] thousand tons. All these findings will offer insights for decision-makers on how to strike a balance between economic benefits and emission rights trading plans in the Yellow River basin.

Impact of Intersectoral Dependencies in National Production on Wastewater Discharges: An Extended Input–Output Study of the Croatian Economy

The Croatian economy performs unfavorably in terms of the impact of production on wastewater discharges, which is particularly pronounced in the industrial sectors. Each unit of gross industrial value added produced in Croatia generates significantly more wastewater discharges than in most European countries with a similar level of economic development. Moreover, in 2020, only 26.9% of the total industrial wastewater discharges of the Croatian economy were treated, while 76.2% of the total industrial wastewater discharges were directly discharged into the environment. Since most of the industrial production in the Croatian economy is destined to meet the intermediate needs of other sectors, policy makers in Croatia must take into account that the level of industrial wastewater discharges is also influenced by the production level of sectors that depend on the intermediate products of wastewater-intensive industries. For this reason, we developed a wastewater extended input–output model of the Croatian economy to determine and analyze the impact of intersectoral linkages in Croatian production systems on the amount of untreated wastewater discharges. The results of the study show that wastewater flows in the Croatian economy are largely generated by the processes of production and consumption of intermediate products from the chemical and petroleum refining sectors, which also account for the largest share of the calculated wastewater footprint of total Croatian production. In light of the emerging empirical evidence, it can be concluded that targeting market-based and regulation-based measures at wastewater-intensive producers is not sufficient to reduce the relatively high level of untreated wastewater discharges in the Croatian economy. There is also a need for appropriate integrated policy measures in sectors that have a large wastewater footprint due to their established supply chains.

Simulation-based interval chance-constrained quadratic programming model for water quality management: A case study of the central Grand River in Ontario, Canada

Effective river water quality management and planning is a complex issue challenged by various complexities and uncertainties. A simulation-based interval chance-constrained quadratic programming (ICCQP) model is developed for the seasonal planning of water quality management (WQM) under various uncertainties. The proposed model incorporates interval quadratic programming, chance-constrained programming, and a seasonal water quality simulation model within a general framework for WQM. Uncertainties associated with the objective and the coefficients in the left-hand sides of the constraints are tackled as intervals. Meanwhile, parameter uncertainties on the right-hand sides are characterized using probability distributions. Nonlinearities in the cost function are reflected by quadratic programming. A multi-segment water quality model is used to simulate the dynamic interactions between wastewater discharges and river water quality. The proposed ICCQP-WQM model is applied in a real case study for the control of total phosphorus (TP) in the central Grand River in Ontario, Canada. The results demonstrate that the proposed model is able to incorporate uncertainties expressed as intervals and probability information into an optimization framework and provide interval solutions. Thus, different cost-effective schemes for seasonal WQM could be generated. The results show the Kitchener wastewater treatment plant (WWTP) affects the value of the objective function more than the other WWTPs in the study area. It is also found that the Kitchener WWTP's cost accounts for the highest proportion (approximately 35.1-37.9%) of the total annual cost, which implies the control of TP at the Kitchener plant is the most important to the system. Moreover, river water TP standards in spring and autumn are usually difficult to meet, indicating different TP control strategies are needed in these two seasons. The generated results are valuable for local decision makers to generate TP control strategies, and also to identify optimized solutions under various uncertainties. The proposed ICCQP-WQM model can be extended to other watersheds to support effective water quality management and planning.

Ecological indication based on source, content, and structure characteristics of dissolved organic matter in surface sediment from Dagu River estuary, China

Dissolved organic matter (DOM) controls the fate of a variety of nutrients and trace metals in river estuary systems. The aim of our study is to explore the sources, structure characteristics of sediment DOM, and potential ecological release risk (heavy metal, N and P) under the environmental conditions of Dagu River estuary. The relative contribution of DOM source was calculated by carbon stable isotope (combining δ¹³C_DOM and C/N ratios). The structural characteristics of sediment DOM in Dagu River estuary were determined by ultraviolet-visible spectroscopy (UV-vis) absorbance and fluorescence spectroscopy. The potential ecological risks of heavy metals and N and P release were also assessed. Results show that the relative contributions of rural area and aquaculture are high in Dagu River estuary. The humification degree of DOM in downstream river is higher than that in the estuary, and the sediment DOM in Dagu River estuary is influenced by both terrestrial input and biological metabolism. The potential risk of eutrophication in the estuary is high. Moreover, under the effect of aquaculture and rural area, there is higher potential ecological release risk of heavy metal in the estuary. And samples in the middle transect have the highest potential ecological risks of heavy metal. Therefore, a framework has been proposed to predict the ecological status of the estuary by analyzing the sources, content, and structural characteristics of sediment DOM. These results provide a new insight on ecological indication of DOM in Dagu River estuary.

Two-pathway perspective for heavy metal emission mitigation: A case study of Guangdong Province, China

Heavy metal emissions have attracted much worldwide attention for its recalcitrance and persistence. In this study, a two-pathway environmental simulation model is developed to uncover heavy metal emissions as induced by intra-provincial production and extra-provincial investments, filling the gap of mitigating heavy metal emissions from separate pathway. This developed model is applied to Guangdong Province, China targeting on the mitigation of Hg, As, Cd, Cr, and Pb emissions. Additionally, emission reduction simulations are implemented on the basis of key sector identification. The effects of intra-provincial production reduction are more notable than those of extra-provincial investment reduction. In addition, mitigation of Hg and As emissions can be achieved through the reduction in both intra-provincial production and extra-provincial investment. In the contrast, it is not expected that the reduction of extra-provincial investment be duo to the emission mitigation of Cd, Cr and Pb. Moreover, an examination of five optimized scenarios reveals that the most remarkable emission mitigation pathway is the reduction of intra- and extra-provincial activities. This study is an indispensable reference for multi-pathway emission mitigation for heavy metals.

Trade-off between equity and efficiency for allocating wastewater emission permits in watersheds considering transaction

As the management of wastewater emission permits in watershed has become a growing worldwide concern, a substantial challenge has been created in balancing the social stability, economic construction, and ecological function. Therefore, the equitable and efficient allocation of wastewater emission permits in watershed integrating sustainability is vital for environmental management. Considering the wastewater discharge permits transaction between subareas, a multi-objective model is proposed to analyze the allocation of wastewater emission permits in a watershed. The first objective function is to maximize the allocation equity using the environmental Gini coefficient, and the second is to maximize the economic efficiency for the sustainable development of a watershed as the constraint. In this study, the trade-off between the equity and economic efficiency of allocation is balanced. A case study of the Tuojiang River Basin in China is conducted to demonstrate the feasibility, rationality and practicality of the model. The multi-principle and multi-objective allocation model was found to be more reliable and feasible than the previous models, indicating that the equity and efficiency should be balanced to mitigate the water scarcity and deteriorating water quality when managing the basin, and trading is an effective measure for ensuring the equity.

Effects of moisture and salinity on soil dissolved organic matter and ecological risk of coastal wetland

Coastal wetland is the transitional area between land and ocean, which has a unique and sensitive ecosystem. In this study, the effects of moisture and salinity on dissolved organic matter (DOM) and adsorption of heavy metal ions (Cr(VI), Cd(II) and Pb(II)) by soil are investigated. Meanwhile, ecological risks for the potential release of N, P and heavy metals are also predicted. UV-Vis spectrophotometry and three-dimensional fluorescence spectroscopy are used to study the content and structural of DOM under different soil moisture and salinity. Soil adsorption of heavy metal ions is determined by inductively coupled plasma (ICP). The results show that soil moisture and salinity have significant effects on the basic physical and chemical properties of soil. DOM content is the highest in medium moisture and high salinity areas. In addition, the content of protein-like substances in DOM is the highest under all treatment conditions. The results also reveal that the increase of DOM promotes Cr(VI) adsorption and inhibits Cd(II) adsorption by soil. When Pb(II) concentration is high (150 mg/L), the increase of DOM inhibits Pb(II) adsorption by soil. The comprehensive ecological risk of heavy metals is the highest under high salinity. The potential release risk of N and P is the lowest at high moisture and low moisture, respectively. Base on above, effects of soil moisture and salinity on the surrounding ecological environment in coastal wetlands have been revealed, which provides a theoretical basis for the protection of coastal wetland ecological environment.

Designing and implementing pollutant emissions trading systems in China: A twelve-year reflection

Over the past few decades, the pollutant emissions trading policies in China have undergone significant innovation and exploration. It is considered as a market-based approach that became integrated with command-and-control mechanisms such as total emissions control or pollution permits. This study is the first to provide systematic, reflective thinking that tracks the regional initiatives of pollutant emissions trading systems in China. In this article, we divided China's emissions trading practices into three stages and conducted a comparative qualitative analysis of the country's eleven provincial emissions trading pilots. We found that provincial pilots are highly diverse and complex regarding the pollutants that can be traded, the industrial sectors involved, the design of trading administration and processes, and the implementation of trading practices such as allowance, pricing and platforms. We also identified four main challenges: legislation setup, monitoring and verification, administrative interference, and the technical quantification of pollutant hotspots. We conclude the article by providing policy implications so that emissions trading policies can be integrated with the newly developed pollution permitting system.

Dynamic wastewater-induced research based on input-output analysis for Guangdong Province, China

Large amounts of wastewater discharge have emerged as a burden in the process of industrialization and urbanization. In this study, a dynamic wastewater-induced input-output model is developed to systematically analyze the related situation. The developed model is applied to Guangdong Province, China to analyze its prominent characteristics from 2002 to 2015. Combining input-output analysis, ecological network analysis and structural decomposition analysis, the developed model reveals issues of direct and indirect discharges, relationships among various discharges, and driving forces of wastewater discharges. It is uncovered that Primary Manufacturing and Advanced Manufacturing dominate the system because of significant temporal and spatial variations in wastewater discharge. In addition, Manufacturing of paper, computer and machinery and Services are the key industries responsible for large amounts of wastewater discharge and unhealthy source-discharge relationships. The largest wastewater discharge occurred in 2005 and indirect wastewater discharge is the main form. Furthermore, final demand is found to be the biggest driving force of wastewater discharge. Finally, a three-phase policy implementation system implemented in stages proposes solutions to wastewater problems.

Urban agglomeration (Guangzhou-Foshan-Zhaoqing) ecosystem management under uncertainty: A factorial fuzzy chance-constrained programming method

In this study, a factorial fuzzy chance-constrained programming (FFCP) method is developed for planning urban agglomeration ecosystem under uncertainty. FFCP cannot only address uncertainties presented as possibility distributions and random variables, but also quantitatively evaluate the individual and the interactive effects of multiple eco-environmental factors on urban agglomeration ecosystem. The FFCP method is applied to planning the Guangzhou-Foshan-Zhaoqing (GFZ) urban agglomeration, one of the most important economic circles of the Pearl River Delta region. With rapid industrialization, urbanization and population growth, a number of eco-environmental issues (e.g., water contamination, air pollution, and ecological deterioration) are becoming more and more serious. Results reveal that (i) the main environmental problem of Guangzhou is water pollution due to excessive chemical oxygen demand (COD) discharge (with a contribution of 53.1%), (ii) Foshan would suffer air pollution due to sulfur dioxide (SO₂) emitted from industrial processing and production, and (iii) solid waste disposal would continue to be challenge faced by Zhaoqing. Results also disclose that multiple uncertainties in system components have sound effects on the urban agglomeration ecosystem management as well as eco-environmental constraints have individual and/or joint effects on the system benefit. Different probability levels would lead to changed land-use patterns. Decisions at a lower violation level would lead to an increased reliability in fulfilling ecosystem requirement but with a lower system benefit. The findings can help decision makers to gain insights into tradeoff between economic development and eco-environmental protection as well as generate synergetic development strategies of urban agglomeration in an economic-effective and ecological-harmonious way.