An integrated model for water management in a rapidly urbanizing catchment

Qin, Huapeng; Su, Qiong; Khu, Soon‐Thiam

doi:10.1016/j.envsoft.2011.07.003

Cited by 71 publications

(39 citation statements)

References 35 publications

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“…Suitable water management measures, however, may also be included in the urbanization process to mediate water quality deterioration [12] such as installing wastewater infrastructure (e.g., wastewater treatment plant (WWTP) and urban drainage system) to increase wastewater treatment capacity. Socio-economic policies such as industrial structure regulation, economic incentive and finance policies, command and control, and legal measures are able to improve water consumption efficiencies and reduce pollutant load generation [13,14].…”

Section: Introductionmentioning

confidence: 99%

Water Quality Changes during Rapid Urbanization in the Shenzhen River Catchment: An Integrated View of Socio-Economic and Infrastructure Development

Qin

Khu

et al. 2014

Sustainability

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Surface water quality deterioration is a serious problem in many rapidly urbanizing catchments in developing countries. There is currently a lack of studies that quantify water quality variation (deterioration or otherwise) due to both socio-economic and infrastructure development in a catchment. This paper investigates the causes of water quality changes over the rapid urbanization period of 1985-2009 in the Shenzhen River catchment, China and examines the changes in relation to infrastructure development and socio-economic policies. The results indicate that the water quality deteriorated rapidly during the earlier urbanization stages before gradually improving over recent years, and that rapid increases in domestic discharge were the major causes of water quality deterioration. Although construction of additional wastewater infrastructure can significantly improve water quality, it was unable to dispose all of the wastewater in the catchment. However, it was found that socio-economic measures can significantly improve water quality by decreasing pollutant load per gross regional production (GRP) or increasing labor productivity. Our findings suggest that sustainable development during urbanization is possible, provided that: (1) the wastewater infrastructure should be constructed timely and revitalized regularly in line with urbanization, and wastewater treatment facilities should be OPEN ACCESS Sustainability 2014, 6 7434 upgraded to improve their nitrogen and phosphorus removal efficiencies; (2) administrative regulation policies, economic incentives and financial policies should be implemented to encourage industries to prevent or reduce the pollution at the source; (3) the environmental awareness and education level of local population should be increased; (4) planners from various sectors should consult each other and adapt an integrated planning approach for socio-economic and wastewater infrastructure development.

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Section: Introductionmentioning

confidence: 99%

Water Quality Changes during Rapid Urbanization in the Shenzhen River Catchment: An Integrated View of Socio-Economic and Infrastructure Development

Qin

Khu

et al. 2014

Sustainability

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“…The application of these models has led to mixed results, perhaps a result of these models' use for myriad purposes including: resource administration, management, and decision-making in the development of cities to manage and control hydric resources in terms of quality and quantity, contamination control with relation to natural resources, infrastructure planning, public-policy evaluation, financial management, and evaluation of socioeconomic development [134]. Case studies are discussed below.…”

Section: Application Of Uwc Modelsmentioning

confidence: 99%

Urban Water Cycle Simulation/Management Models: A Review

Peña-Guzmán

Melgarejo

Prats

et al. 2017

Water

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Urban water management is increasingly important given the need to maintain water resources that comply with global and local standards of quantity and quality. The effective management of water resources requires the optimization of financial resources without forsaking social requirements. A number of mathematical models have been developed for this task; such models account for all components of the Urban Water Cycle (UWC) and their interactions. The wide range of models entails the need to understand their differences in an effort to identify their applicability, so academic, state, and private sectors can employ them for environmental, economic, and social ends. This article presents a description of the UWC and relevant components, a literature review of different models developed between 1990 and 2015, and an analysis of several case studies (applications). It was found that most applications are focused on new supply sources, mainly rainwater. In brief, this article provides an overview of each model's use (primarily within academia) and potential use as a decision-making tool.Keywords: urban water cycle; integrated management of urban water; computational models

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“…Previously, plenty of modeling technologies were applied to water resources and farmland use system planning with non-point source pollution mitigation (Satti et al, 2004;Chen et al, 2005;Riquelme and Ramos, 2005;Victoria et al, 2005;Kondilia and Kaldellis, 2006;Gregory et al, 2006;Khare et al, 2007;Castelletti et al, 2008;Qin et al, 2011;Mahmoud et al, 2011;Deviney Jr. et al, 2012;Zarghami and Hajykazemian, 2013;Canter et al, 2014). For example, Satti et al (2004) used the GIS-based water resources and agricultural permitting and planning system to simulate the effect of climate, soil, and crop parameters on crop irrigation requirements.…”

Section: Introductionmentioning

confidence: 99%

“…Victoria et al (2005) adopted modeling tools, ISAREG model and SAGBAH model, to solve multi-scale problems with irrigation water uses and nonpoint source pollution in basins. Qin et al (2011) proposed a system dynamics and water environmental model to operate the integrated socio-economic and water management system in a rapidly urbanizing catchment. Mehta et al (2013) developed integrated water resources management models using the water evaluation and planning decision support system, for three towns in the Lake Victoria region.…”

Section: Introductionmentioning

confidence: 99%

A dual-inexact fuzzy stochastic model for water resources management and non-point source pollution mitigation under multiple uncertainties

Dong

Tan

Huang

et al. 2014

Hydrol. Earth Syst. Sci.

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Abstract. In this research, a dual-inexact fuzzy stochastic programming (DIFSP) method was developed for supporting the planning of water and farmland use management system considering the non-point source pollution mitigation under uncertainty. The random boundary interval (RBI) was incorporated into DIFSP through integrating fuzzy linear programming (FLP) and chance-constrained programming (CCP) approaches within an interval linear programming (ILP) framework. This developed method could effectively tackle the uncertainties expressed as intervals and fuzzy sets. Moreover, the lower and upper bounds of RBI are continuous random variables, and the correlation existing between the lower and upper bounds can be tackled in RBI through the joint probability distribution function. And thus the subjectivity of decision making is greatly reduced, enhancing the stability and robustness of obtained solutions. The proposed method was then applied to solve a water and farmland use planning model (WFUPM) with non-point source pollution mitigation. The generated results could provide decision makers with detailed water supply-demand schemes involving diversified water-related activities under preferred satisfaction degrees. These useful solutions could allow more in-depth analyses of the trade-offs between humans and environment, as well as those between system optimality and reliability. In addition, comparative analyses on the solutions obtained from ICCP (Interval chance-constraints programming) and DIFSP demonstrated the higher application of this developed approach for supporting the water and farmland use system planning.

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An integrated model for water management in a rapidly urbanizing catchment

Cited by 71 publications

References 35 publications

Water Quality Changes during Rapid Urbanization in the Shenzhen River Catchment: An Integrated View of Socio-Economic and Infrastructure Development

Water Quality Changes during Rapid Urbanization in the Shenzhen River Catchment: An Integrated View of Socio-Economic and Infrastructure Development

Urban Water Cycle Simulation/Management Models: A Review

A dual-inexact fuzzy stochastic model for water resources management and non-point source pollution mitigation under multiple uncertainties

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