Modeling regional ecosystem development under uncertainty – A case study for New Binhai District of Tianjin

You, Le-Xing; Li, Y. P.; Huang, Guohe; Zhang, J.L.

doi:10.1016/j.ecolmodel.2014.06.008

Cited by 22 publications

(10 citation statements)

References 38 publications

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“…Besides, the values of absorbing CO 2 and releasing O 2 can be evaluated using surrogate market approach. According to the formula of photosynthesis and respiration, when wetland ecosystem absorbs 1 g CO 2 , 0.73 g O 2 can be released (Chen et al, 2004;You et al, 2014); around 81% of COD input was removed due to sedimentation in the ditch and accumulation and mineralization in the wetland soil (Meuleman et al, 2003). The biochemical degradation capacity of COD is 0.79 m 3 / ha · day, while the average cost for treating sewage is about RMB¥ 5.4/m 3 .…”

Section: Data Acquisition and Analysismentioning

confidence: 99%

“…As a result, the inherent complexities and stochastic uncertainties that exist in practical regional ecosystem management have inevitably placed the issue beyond the conventional deterministic optimization methods. Over the past decades, a number of research efforts were conducted for dealing with various uncertainties in the ecosystem management systems (Ahmed et al, 2004;Miao et al, 2014;You et al, 2014;Zhang et al, 2014;Haddad et al, 2015;Roy et al, 2015). Two-stage stochastic programming (TSP) is effective for dealing with problems in which an analysis of policy scenarios is desired and the uncertainties can be expressed as probabilistic distributions (Ahmed et al, 2004).…”

Section: Introductionmentioning

confidence: 99%

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Modeling for regional ecosystem sustainable development under uncertainty — A case study of Dongying, China

Zhang

Huang

et al. 2015

Science of The Total Environment

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Section: Data Acquisition and Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Modeling for regional ecosystem sustainable development under uncertainty — A case study of Dongying, China

Zhang

Huang

et al. 2015

Science of The Total Environment

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“…(a) Waste management Maqsood and Huang, 2003;Huang et al, 2005a;Huang et al, 2005b;Pires et al, 2011;Sun et al, 2013;Wu et al, 2015;, (b) Water resources allocation Wu et al, 1997;Huang and Loucks, 2000;Maqsood et al, 2005;Li et al, 2008;Lv et al, 2010;Zhang et al, 2011;Nikoo et al, 20-12;Miao et al, 2014), (c) Energy systems management (Lin et al, 2005;Dong et al, 2012;Li et al, 2014;Hu et al, 2014), (d) Air quality control Liu et al, 2003;Li et al, 2006;Lu et al, 2008;Qin et al, 2010;Wang and Huang, 2013;Shao et al, 2014), (e) Flood mitigation (Xia et al, 2001), (f) Water quality management (Huang, 1996;Zeng et al, 2000;Guo et al, 2003;Jin et al, 2004;Qin et al, 2009;Hu et al, 2013;Liu et al, 2015), (g) Eutrophication control , (h) Land-use planning (Huang et al, 1998;Han et al, 20-13;Ni et al, 2014;Zhang et al, 2014), (i) Resources management (Xia et al, 2001;Nasiri and Huang, 2007;Li et al, 2011;You et al, 2014;Wang et al, 2014;…”

Section: Significance Of Ilpmentioning

confidence: 99%

Interval Recourse Linear Programming for Resources and Environmental Systems Management under Uncertainty

Cheng¹

2015

J ENV INFORM

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Interval recourse linear programming (IRLP) is proposed for mitigating constraint violation problems in resources and environmental systems management (REM) under interval uncertainties. Based on a review of interval linear programming (ILP) and its significances to REM, two linear programming sub-models are employed to initialize a decision space in IRLP. The causes of constraint violation are examined based on identification of a violation criterion. Contraction ratios are defined after revelation of violation ranges of constraints. As a recourse measure to resolve constraint violation problems, another two linear programming sub-models are constructed given a series of contraction ratios. A hypercube decision space where infeasible solutions are excluded is obtained. A postoptimality analysis is conducted to deal with the barriers for applying the IRLP approach to address real-world REM problems under interval uncertainties. A selected REM problem is introduced to demonstrate the procedures and effectiveness of the IRLP approach. Comparisons with existing ILP methods reveal that the IRLP approach is effective at avoiding constraint violation, reproducing the largest decision space which does not include infeasible solutions, and enhancing the reliability of decision support for REM.

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“…In order to maintain regional ecosystem sustainability, local decision makers have advanced a series of market-based control measures to mitigate the conflict between economic development and eco-environmental protection (You et al, 2014). Among them, ecological compensation mechanism is one of key tools to protect and sustainable use ecosystem services, and to adjust the distribution of costs and benefits between the interests of different actors and stakeholders, mainly through economic measures .…”

Section: The Study Systemmentioning

confidence: 99%

A relative interval-regret analysis method for regional ecosystem planning – a case study of Dongying, China

You

Huang

2015

Ecological Engineering

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A B S T R A C TA relative interval-regret analysis (RIRA) method is developed for regional ecosystem management under uncertainty through incorporating interval-parameter programming (IPP) and minimax relative regret (MRR) analysis techniques within a general framework. RIRA can handle uncertainties expressed as intervals and random variables without knowing probability distributions and only needs a list of possible scenarios that may occur; it can also incorporate ecosystem services valuation approaches directly into the optimization process, such that an effective linkage between eco-compensation costs and ecosystem service losses can be provided. The RIRA method is applied to a real case of planning regional ecosystem of Dongying, where the natural ecosystem has suffered the severe degradation due to large-scale land reclamation projects. Results of land-use pattern, ecological compensation strategy, and industrial pollution-mitigation scheme can be obtained. The results reveal that, although large-scale reclamation projects can bring benefits and make a significant contribution to local economic development, they can also result in many negative effects to the coastal ecosystem, such as endangering animals and plants, changing intrinsic gas regulation, as well as altering natural nutrient cycling. Moreover, the results indicate that eco-compensation cost is much higher than the cost for reclaimed land use, disclosing that eco-compensation mechanism is desired for curbing excessive reclamation activities. These findings can facilitate the local decision makers in not only considering regional ecosystem integrity but also gaining insights into the tradeoff between socio-economic development and eco-environmental sustainability.

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Modeling regional ecosystem development under uncertainty – A case study for New Binhai District of Tianjin

Cited by 22 publications

References 38 publications

Modeling for regional ecosystem sustainable development under uncertainty — A case study of Dongying, China

Modeling for regional ecosystem sustainable development under uncertainty — A case study of Dongying, China

Interval Recourse Linear Programming for Resources and Environmental Systems Management under Uncertainty

A relative interval-regret analysis method for regional ecosystem planning – a case study of Dongying, China

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