Z. F. Yang

Beijing Normal University, Peping, Beijing, China

Are you Z. F. Yang?

Claim your profile

Publications (140)273.67 Total impact

  • X. A. Yin · G. E. Petts · Z. F. Yang
    [Show abstract] [Hide abstract]
    ABSTRACT: The third biennial symposium of the International Society for River Science was held at Beijing Normal University, China, on 5–9 August 2013. The symposium was dedicated to consolidating knowledge on riverine ecosystem in response to the impacts of ever-increasing environmental pressures and promoting multi-disciplinary solutions for protecting and restoring ecosystems. Nine papers were selected to illustrate advances in understanding the mechanisms of ecological degradation, promoting new models for simulating the hydrological and ecological processes and establishing new tools for ecofriendly water resources management. Copyright © 2015 John Wiley & Sons, Ltd.
    River Research and Applications 05/2015; 31(4). DOI:10.1002/rra.2902 · 1.97 Impact Factor
  • Z. F. Yang · Y. P. Cai
    Hydrology and Earth System Sciences 09/2014; 18(9):3675-3679. DOI:10.5194/hess-18-3675-2014 · 3.64 Impact Factor
  • D.Y. Miao · W.W. Huang · Y.P. Li · Z.F. Yang
    [Show abstract] [Hide abstract]
    ABSTRACT: This study presents an interval-fuzzy De Novo programming (IFDNP) method for planning water-resourcesmanagement systems under uncertainty. IFDNP is derived by incorporating the concepts of interval parameters and fuzzy sets within a De Novo programming framework. IFDNP has the advantages in constructing optimal system design through introducing the flexibility into the available resources in the model’s constraints. Moreover, IFDNP allows the decision makers to achieve a metaoptimal system performance and improve the performance of compromise solutions, and it is effective for dealing with the system design problems involving multiple objectives and multiple uncertainties. The IFDNP is then applied to a case study of designing an inexact optimal system with budget limit for water resources management and planning. Various scenarios that are associated with different levels of economic implication consequences and water allocation patterns under uncertainty are analyzed. Results can help decision makers to evaluate alternatives of system designs and to determine which of these designs can most efficiently achieve the desired economic objective constrained by limited resources.
    Journal of Environmental Informatics 09/2014; 24(1):11-23. DOI:10.3808/jei.201400277 · 3.77 Impact Factor
  • X. A. Yin · Z. F. Yang · G. E. Petts
    [Show abstract] [Hide abstract]
    ABSTRACT: Assessing alterations of a river's flow regime provides the basis for river protection and restoration planning. The range of variation approach (RVA) is a commonly used method to evaluate alterations in a river's flow regime. However, RVA underestimates the degree of flow regime alteration potentially, because it only considers the difference in frequency between the pre-impact and post-impact hydrologic indicator values within certain target ranges and does not consider alteration of the order of hydrologic year types (HYTs; i.e. wet, average and dry years). The HYT order is an important holistic feature of the flow regime. The human-induced change of HYTs, such as from a dry year to a wet year or from an average year to a dry year, can be a major cause of ecosystem alteration. For some species, the order of the HYTs was more important than single-year events (such as the flood magnitude during a given year). To address this problem with the RVA, we proposed a modification of this method that accounts for alteration of the order of HYTs. We developed a metric for assessing the alteration of the HYT order based on Euclidean distance and then combined this metric with the RVA. We applied the revised method to a case study of the Sha River in northern China to test its effectiveness. The results demonstrated that the new method solved RVA's problem of potentially underestimating the degree of flow regime alteration and enabled a more comprehensive analysis of the alteration of the flow regime. Copyright © 2014 John Wiley & Sons, Ltd.
    River Research and Applications 08/2014; 31(4). DOI:10.1002/rra.2817 · 1.97 Impact Factor
  • X. A. Yin · Z. F. Yang · C. L. Liu
    [Show abstract] [Hide abstract]
    ABSTRACT: In deregulated electricity markets, hydropower portfolio design has become an essential task for producers. The previous research on hydropower portfolio optimisation focused mainly on the maximisation of profits but did not take into account riverine ecosystem protection. Although profit maximisation is the major objective for producers in deregulated markets, protection of riverine ecosystems must be incorporated into the process of hydropower portfolio optimisation, especially against a background of increasing attention to environmental protection and stronger opposition to hydropower generation. This research seeks mainly to remind hydropower producers of the requirement of river protection when they design portfolios and help shift portfolio optimisation from economically oriented to ecologically friendly. We establish a framework to determine the optimal portfolio for a hydropower reservoir, accounting for both economic benefits and ecological needs. In this framework, the degree of natural flow regime alteration is adopted as a constraint on hydropower generation to protect riverine ecosystems, and the maximisation of mean annual revenue is set as the optimisation objective. The electricity volumes assigned in different electricity submarkets are optimised by the noisy genetic algorithm. The proposed framework is applied to China's Wangkuai Reservoir to test its effectiveness. The results show that the new framework could help to design eco-friendly portfolios that can ensure a planned profit and reduce alteration of the natural flow regime.
    Hydrology and Earth System Sciences Discussions 03/2014; 18(4). DOI:10.5194/hess-18-1359-2014 · 3.59 Impact Factor
  • D. Y. Miao · Y. P. Li · G. H. Huang · Z. F. Yang · C. H. Li
    [Show abstract] [Hide abstract]
    ABSTRACT: This study proposes an interval semiinfinite De Novo programming (ISIDP) method for the planning of water resource management systems under uncertainty. The ISIDP problem is settled by dividing it into two interactive linear programming subproblems and solving it by using a conventional simplex method. To evaluate the applicability of the proposed model, the method is applied to a case study of the Yuecheng Reservoir in Zhangweinan River Basin, China. The results indicate that the strategies generated through ISIDP would not increase the complexity in decision-making processes. Compared with the conventional optimization method, ISIDP has the advantages of (1)better reflecting the association of the system benefits with water price, (2)generating more reliable solutions with a lower risk of system failure as a result of the possible violation of constraints, and (3)providing more flexible management planning because the availability of budgets can be adjusted with the variations in water price.
    Journal of Water Resources Planning and Management 02/2014; 140(2):238-249. DOI:10.1061/(ASCE)WR.1943-5452.0000303 · 1.76 Impact Factor
  • Z. F. Yang · T. Sun · R. Zhao
    [Show abstract] [Hide abstract]
    ABSTRACT: We developed an approach to assess environmental flows in estuaries related to preference of phytoplankton considering the complex relationship between hydrological modification and biomass in ecosystems. As a first step, a relationship was established between biomass requirements for organisms of primary and higher nutritional levels based on the principle of nutritional energy flow of ecosystem. Then, diagnostic pigments were employed to represent phytoplankton community biomass, which indicated competition between two groups of phytoplankton in the biochemistry process. Considering empirical relationships between diagnostic pigments and critical environmental factors, responses of biomass to river discharges were established based on a convection-diffusion model by simulating distributions of critical environmental factors under action of river discharges and tide currents. Consequently, environmental flows could be recommended for different requirements of fish biomass. In the case study in the Yellow River estuary, May and October were identified as critical months for fish reproduction and growth during dry years. Artificial hydrological regulation strategies should carefully consider the temporal variations of natural flow regime, especially for a high-amplitude flood pulse, which may cause negative effects on phytoplankton groups and higher organism biomass.
    Hydrology and Earth System Sciences 12/2013; 11(1). DOI:10.5194/hessd-11-1389-2014 · 3.59 Impact Factor
  • L. J. Zhang · X. A. Yin · Y. Zhi · Z. F. Yang
    [Show abstract] [Hide abstract]
    ABSTRACT: China is a water-stressed country, and agriculture consumes the bulk of its water resources. Assessing the virtual water content (VWC) of crops is one important way to develop efficient water management measures to alleviate water resources conflicts among different sectors. In this research, the VWC of rice, as a major crop in China, was assessed and the spatial characteristics were analyzed. In addition to the calculation of green, blue and grey water - the direct water in VWC - the indirect water use of rice was also calculated, using the Input-Output model. The percentages of direct green, blue, grey and indirect water in the total VWC of rice in China were 43.8, 28.2, 27.6, and 0.4%. The total VWC of rice generally showed a three-tiered distribution, and decreased from southeast to northwest. The higher values of direct green water of rice were mainly concentrated in Southeast and Southwest China, while these values were relatively low in Northwest China and Inner Mongolia. The higher direct blue water values were mainly concentrated in the eastern and southern coastal regions and Northwest China, and low values were mainly concentrated in Southwest China. Grey water values were relatively high in Shanxi and Guangxi provinces and low in Northeast and Northwest China. The regions with high values for indirect water were randomly distributed but the regions with low values were mainly concentrated in Northwest and Southwest China. For the regions with relatively high total VWC the high values of blue water made the largest contribution, although for the country as a whole the direct green water is the most important contributor.
    Hydrology and Earth System Sciences Discussions 12/2013; 11(1). DOI:10.5194/hessd-11-1047-2014 · 3.59 Impact Factor
  • Source
    Z. H. Xu · X. A. Yin · Z. F. Yang
    [Show abstract] [Hide abstract]
    ABSTRACT: Lake eutrophication is a serious global environmental issue. Phytoremediation is a promising, cost-effective, and environmentally friendly technology for water quality restoration. However, besides nutrient removal, macrophytes also deeply affect the hydrologic cycle of lake system through evapotranspiration. Changes in hydrologic cycle caused by macrophytes have a great influence on lake water quality restoration. As a result of the two opposite effects of macrophytes on water quality restoration (i.e. an increase in macrophytes can increase nutrient removal and improve water quality while also increasing evapotranspiration, reducing water volume and consequently decreasing water quality), rational macrophyte control through planting and harvest is very important. In this study, a new approach is proposed to optimise the initial planting area and monthly harvest scheme of macrophytes for water quality restoration. The month-by-month effects of macrophyte management on lake water quality are considered. Baiyangdian Lake serves as a case study, using the common reed. It was found that water quality was closest to Grade III on the Chinese water quality scale when the reed planting area was 123 km2 (40% of the lake surface area) and most reeds would be harvested at the end of June. The optimisation approach proposed in this study will be a useful reference for lake restoration.
    Hydrology and Earth System Sciences 12/2013; 11(1). DOI:10.5194/hessd-11-807-2014 · 3.59 Impact Factor
  • Source
    Y. Zhi · Z. F. Yang · X. A. Yin
    [Show abstract] [Hide abstract]
    ABSTRACT: Decomposition analysis of water footprint (WF) changes, or assessing the changes in WF and identifying the contributions of factors leading to the changes, is important to water resource management. However, conventional studies focus on WF from the perspective of administrative region rather than river basin. Decomposition analysis of WF changes from the perspective of the river basin is more scientific. To address this perspective, we built a framework in which the input-output (IO) model and the Structural Decomposition Analysis (SDA) model for WF could be implemented in a river basin by computing IO data for the river basin with the Generating Regional IO Tables (GRIT) method. This framework is illustrated in the Haihe River Basin (HRB), which is a typical water-limited river basin. It shows that the total WF in the HRB increased from 4.3 × 1010 m3 in 2002 to 5.6 × 1010 m3 in 2007, and the agriculture sector makes the dominant contribution to the increase. Both the WF of domestic products (internal) and the WF of imported products (external) increased, and the proportion of external WF rose from 29.1% to 34.4%. The technological effect was the dominant contributor to offsetting the increase of WF; however, the growth of WF caused by the economic structural effect and the scale effect was greater, so the total WF increased. This study provides insights about water challenges in the HRB and proposes possible strategies for the future, and serves as a reference for WF management and policy making in other water-limited river basins.
    Hydrology and Earth System Sciences Discussions 12/2013; 10(12):14591-14615. DOI:10.5194/hessd-10-14591-2013 · 3.59 Impact Factor
  • Source
    L. Chen · Z.F. Yang · B. Chen
    [Show abstract] [Hide abstract]
    ABSTRACT: Based on the logarithmic mean Divisia index (LMDI) approach, this paper presents a decomposition analysis of China's energy-related industrial CO2 emissions from 1985 to 2007, as well as a comparative analysis of differential influences of various factors on six sectors. Via the decomposition, five categories of influencing factors are included: (1) Per capita GDP (PCG) was the largest positive driving factor for industrial CO2 emissions growth for all sectors in China, with the largest cumulative contribution value; Population (P), economic structure (YS) and energy structure (ES) also played a positive driving role, but with weak contributions. As the only negative inhibiting factor, energy intensity (EI) significantly reduced the energy-related CO2 emissions from industrial sectors. Meanwhile, CO2 emissions reduction based on the efficiency of energy use still held a large space. (2) Various influencing factors imposed differential impacts on CO2 emissions of six sectors.
    Energies 05/2013; 6(5):2319-2337. DOI:10.3390/en6052319 · 1.60 Impact Factor
  • Source
    M.R. Su · W.W. Lu · Chen Chen · Bin Chen · Z.F. Yang
    [Show abstract] [Hide abstract]
    ABSTRACT: Many cities around the World have established the development objective of becoming a low-carbon city. Evaluation of such a city is important for its progress. A new evaluation framework of urban low-carbon development level is proposed in this paper, which integrates synthetic evaluation based on a bottom-up idea and analytical diagnosis based on a top-down idea. Further, set pair analysis is combined for synthetic evaluation and analytical diagnosis by comparing urban low-carbon development levels of different cities, through which the comprehensive state of urban low-carbon development level can be obtained and limiting factors identified. Based on the proposed framework and set pair analysis, low-carbon development levels of 12 Chinese cities are compared. Some suggestions are provided, based on results of overall situations of urban low-carbon development level and concrete performances of various factors and specific indicators. We conclude that both synthetic evaluation and analytical diagnosis are important for evaluation of urban low-carbon development level. The proposed framework and method can be widely applied in the evaluation of different cities over a long-term period.
    Entropy 04/2013; 10(4):1171-1185. DOI:10.3390/e15041171 · 1.56 Impact Factor
  • Source
    F. Wang · X. Wang · Y. Zhao · Z. F. Yang
    [Show abstract] [Hide abstract]
    ABSTRACT: Water level, as an intuitive factor of hydrologic conditions, is of great importance for lake management. In this study, periodic structures of water level and its fluctuations in Lake Baiyangdian are analyzed based on wavelet analysis and seasonal-trend decomposition using local error sum of squares (STL). Data of monthly time series are divided into three types with emphasis on anthropogenic influence from water allocation. It is found that intra-annual characteristics of water level fluctuations are the common periodic structures. Water allocation alters the periodic structures by decreasing and weakening the oscillations of water level, compared with the slight effects of natural hydrologic water supplies and short-term climate changes. An irregular water level decline and short-term oscillation with irregular periodicity are deduced from seasonal-trend decomposition analysis using STL. With seasonality depicted monthly, the influence of water allocation implies irregular oscillations with high-frequency components, especially for monthly changes. The water level fluctuations are influenced by seasonal changes, as demonstrated by three types of time series. The impacts of water allocation on seasonality show the differences with continuous single-peak oscillations representing no influences and continuous double-peak oscillations representing frequent influences. Furthermore, the accumulation of water allocation shows a slight rising trend in average monthly level fluctuations over the last several years. The study helps understand periodic structures and long-term trend changes of water level fluctuations, which will facilitate lake management of Lake Baiyangdian.
    International journal of Environmental Science and Technology 03/2013; 11(2):327-338. DOI:10.1007/s13762-013-0362-5 · 1.79 Impact Factor
  • D.Y. Miao · Y.P. Li · G. H. Huang · Z. F. Yang
    [Show abstract] [Hide abstract]
    ABSTRACT: A number of inexact fuzzy programming methods have been developed for the planning of water-resources-management systems under uncertainty. However, most of them do not allow the parameters in the objective and constraints of a programming problem to be functional intervals (i.e., the lower and upper bounds of the intervals are functions of impact factors). In this study, an interval fuzzy bi-infinite De Novo programming (IFBDP) method is developed in response to the above concern. A case study is also conducted; the solutions are then compared with those obtained from inexact De Novo programming (IDNP) and interval-fuzzy De Novo programming (IFDNP) that takes no account of bi-infinite programming. It is indicated that the IFBDP method can generate more reliable solutions with a lower risk of system failure due to the possible constraints violation and provide a more flexible management planning since the budgets availability can be adjusted with the variations in water price. These solutions are more flexible than those identified through IFDNP since the tolerance intervals are introduced to measure the level of constraints satisfaction. Moreover, it can be used for analyzing various scenarios that are associated with different levels of economic consequences under uncertainty.
    Engineering Applications of Artificial Intelligence 03/2013; 26(3):1061–1071. DOI:10.1016/j.engappai.2012.11.010 · 1.96 Impact Factor
  • Source
    F. Xu · Z. F. Yang · B. Chen · Y.W. Zhao
    [Show abstract] [Hide abstract]
    ABSTRACT: A structurally dynamic model was developed based on the software Pamolare II for the plant-dominated Baiyangdian Lake in North China. The model was applied to forecast the ecological health condition under different scenarios of removing submerged plants. The indicators for ecosystem health included phytoplankton biomass, ratio of zooplankton to phytoplankton biomass, eco-exergy and structural eco-exergy. The results showed that the lake's health degraded following the decrease of removal of submerged plants. Meanwhile, the ecological health improved when the removal of submerged plants increased to 1.5 times the normal level. Finally, based on the model results, the biomass of submerged plants is recommended to be reduced to 140–180 g/m2, which may provide reasonable reference for regulating and controlling submerged plants in Baiyangdian Lake.
    Ecological Modelling 03/2013; 252(1):167–175. DOI:10.1016/j.ecolmodel.2012.07.013 · 2.07 Impact Factor
  • Source
    L. L. Zhang · J. L. Liu · Z.F. Yang · Y. Li · Y. Yang
    [Show abstract] [Hide abstract]
    ABSTRACT: A set of ecological indicators were proposed for the lake ecosystem health assessment via the application of structural, functional, and system-level responses of whole-lake ecosystems to land-use types, chemical stressors including nutrients and organic pollution, and physical stressors including water depth (WD) and grain size (GR). The structural metrics incorporated Chlorophyll c/Chlorophyll a (Chl c/a), Shannon diversity index (H), and proportion of Bacillariophyta (BAC). The functional metrics encompassed leucine amino peptide enzymes (LEU) and general primary productivity (GPP). The ecosystem level indicators consisted of eco-exergy (Ex), structural eco-exergy (Exst), and ecological buffer capacity (βTP-A). Using these indicators, we developed an integrated ecological health modeling method (IEHMM) for macrophyte-dominated lake health assessment. The IEHMM was designed to: (1) identify the relevant questions related to the health of the ecosystem; (2) analyze the lake's ecosystem structure including the pelagic and benthic pathways and use these results to determine the model's structure and complexity; (3) establish a whole-lake ecological conceptual model; (4) calculate the lake's ecosystem health indicators; (5) assess lake ecosystem health using these different indicators; and (6) compare the assessment results with different calculation methods. The IEHMM conceptual model included 5 sub-models and 15 state variables. The results of the case study in Baiyangdian Lake (China) demonstrated that the IEHMM provided comprehensive assessment results that corresponded with the lake's actual health state.
    Ecological Modelling 03/2013; 252(1):141–152. DOI:10.1016/j.ecolmodel.2012.07.029 · 2.07 Impact Factor
  • X.A. Yin · Z. F. Yang
    [Show abstract] [Hide abstract]
    ABSTRACT: Long-term water supplies are needed to address wetland degradation and the expansion of cones of depression, but this use of water is seldom considered in conventional reservoir operating models. In this paper, a new reservoir operating model is proposed to effectively direct water supply to wetlands, cones of depression, and humans. For ecological water provision to wetlands, the reservoir space is divided into two zones to maintain either the basic ecological water level in the wetland or the preferred ecological water level. The division provides reservoir operators with improved flexibility for balancing water supplies between wetlands and other users. The timing and rate of water release to alleviate cones of depression is triggered by the reservoir's water level. The division of reservoir space for water supply to wetlands and the specified reservoir water level and release rates to cones of depression are optimized based on the overall water availability and the planned water supply to each user. The proposed model is applied to China's Xidayang Reservoir to demonstrate its effectiveness for addressing the problems of water supplies for multiple ecological and socio-economic uses. The results demonstrate that this model effectively provides water supply to wetlands and cones of depression, while satisfying socio-economic water requirements.
    Ecological Modelling 03/2013; 252:114–120. DOI:10.1016/j.ecolmodel.2012.08.014 · 2.07 Impact Factor
  • Z. F. Yang
    Journal of Environmental Informatics 03/2013; 21(1):1-2. DOI:10.3808/jei.201300226 · 3.77 Impact Factor
  • Source
    T. Sun · J. Xu · Z. F. Yang
    [Show abstract] [Hide abstract]
    ABSTRACT: An integrated multi-objective method for environmental flow assessments was developed that considered variability of potential habitats as a critical factor in determining how ecosystems respond to hydrological alterations. Responses of habitat area, and the magnitude of those responses as influenced by salinity and water depth, were established and assessed according to fluctuations in river discharge and tidal currents. The requirements of typical migratory species during pivotal life-stage seasons (e.g., reproduction and juvenile growth) and natural flow variations were integrated into the flow-needs assessment. Critical environmental flows for a typical species were defined based on two primary objectives: (1) high level of habitat area and (2) low variability of habitat area. After integrating the water requirements for various species with the maximum acceptable discharge boundary, appropriate temporal limits of environmental flows for ecosystems were recommended. The method was applied in the Yellow River estuary in eastern Shandong province, China. Our results show that, while recommended environmental flows established with variability of potential habitats in mind may not necessarily benefit short-term survival of a typical resident organism on a limited temporal or spatial scale, they may encourage long-term, stable biodiversity and ecosystem health. Thus, short-term ecosystem losses may be compensated by significant long-term gains.
    Hydrology and Earth System Sciences 02/2013; 17(2):751-760. DOI:10.5194/hess-17-751-2013 · 3.64 Impact Factor
  • Source
    G.Y. Liu · Z.F. Yang · B. Chen · Y. Zhang · M.R. Su · L.X. Zhang
    Energies 01/2013; 6:5486-5506. · 1.60 Impact Factor

Publication Stats

2k Citations
273.67 Total Impact Points


  • 2004–2015
    • Beijing Normal University
      • School of Environment
      Peping, Beijing, China
  • 2000–2009
    • Chinese Academy of Sciences
      • Key Laboratory of Engineering Geomechanics
      Peping, Beijing, China
  • 1993
    • Peking University
      Peping, Beijing, China