Modelling the impacts of reservoir operations on the downstream riparian vegetation and fish habitats in the Lijiang River

Li, Ruonan; Chen, Qiuwen; Ye, Fei

doi:10.2166/hydro.2010.008

Cited by 33 publications

(24 citation statements)

References 55 publications

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“…A habitat suitability model was used in 12 papers to evaluate the impact of the changes in physical-chemical conditions on the habitat of biotic communities. Li et al [99] used water depth, velocity and water temperature as input variables in their habitat suitability model to calculate the minimum flow needed for fish habitat conservation. The majority of articles (13) used an integrated model (i.e., most were an integration of hydrodynamic and habitat suitability models), in which the impact of hydropower dam construction on river morphology was linked to water quality, food web ecology or biological preferences (Table 1).…”

Section: Model Approaches and Practical Applicationmentioning

confidence: 99%

“…Nevertheless, most model approaches base their assessment on physical-chemical water quality or the habitat suitability of adult fish (e.g., Ruetz and Jennings [32]; Freeman et al [31]; Cerny et al [62]; Grand et al [55]; Hatten et al [22]; Garcia et al [18]; Li et al [99]; Cioffi and Gallerano [112]; Chen et al [131]; Wang et al [25]), including often purely the most common and economic valuable species (e.g., trout, salmon) or endangered species. One publication considered the impact of flow regulation on algae [38]; one paper focused on the effect on habitat suitability of amphibians [26]; and just three papers considered macroinvertebrates [25,37,115] in their assessment.…”

Section: Weaknessesmentioning

confidence: 99%

“…Therefore, using one model for different life stages and for the whole-year conditions may lead to incorrect prediction results. Besides hydraulic characteristics, ecological components (e.g., riparian vegetation, present of predators, life stage of organisms), morphological characteristics (e.g., the spectrum of large river systems of the river) [26,114] and physical conditions (e.g., temperature, turbidity, substrate, seasonal variation) [32,99] are important factors that should be taken into account. The study of complex systems thus requires a multi-scale approach, in which it is necessary to consider the interactions occurring across many scales of space, time and organization [136].…”

Section: Threatsmentioning

confidence: 99%

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Modelling Tools to Analyze and Assess the Ecological Impact of Hydropower Dams

Nguyen

Everaert

Boets

et al. 2018

Water

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Abstract:We critically analyzed a set of ecological models that are used to assess the impact of hydropower dams on water quality and habitat suitability for biological communities. After a literature search, we developed an integrated conceptual model that illustrates the linkages between the main input variables, model approaches, the output variables and biotic-abiotic interactions in the ecosystems related to hydropower dams. We found that variations in water flow and water depth coupled with increased nutrient availability are major variables that contribute to structural and functional ecosystem changes. We also found that ecological models are an important tool to assess the impact of hydropower dams. For instance, model simulation of different scenarios (e.g., with and without the dam, different operation methods) can analyze and predict the related ecosystem shifts. However, one of the remaining shortcomings of these models is the limited capacity to separate dam-related impacts from other anthropogenic influences (e.g., agriculture, urbanization). Moreover, collecting sufficient high-quality data to increase the statistical power remains a challenge. The severely altered conditions (e.g., generation of very deep lakes) also lead to difficulties for standardized data collection. We see future opportunities in the integration of models to improve the understanding of the different processes affected by hydropower dam development and operation, as well as the use of remote sensing methods for data collection.

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Section: Model Approaches and Practical Applicationmentioning

confidence: 99%

Section: Weaknessesmentioning

confidence: 99%

Section: Threatsmentioning

confidence: 99%

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Modelling Tools to Analyze and Assess the Ecological Impact of Hydropower Dams

Nguyen

Everaert

Boets

et al. 2018

Water

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“…Chen et al [37] focused on the development and application of CA approach for ecological and ecohydraulics modeling. Li et al [38] developed an integrated model, which combined a two-dimensional hydrodynamic module with a vegetation evolution module and a sh habitat module. They used an unstructured CA in the vegetation module.…”

Section: Cellular Automatamentioning

confidence: 99%

An Adaptive Relaxed Cellular Automata Method for Reliability-Based Hydropower Operation of Reservoirs

Azizipour

Afshar

2017

Scientia Iranica

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Abstract. This paper presents a novel cellular automata Approach as the solution to reliability-based reservoir hydropower operation problems. The method is based on the observation that a low value of the penalty parameter would lead to partial enforcement of the constraints. Therefore, in this method, the constraints of the chance-constrained operation problem, namely operational and reliability constraints, are dealt with di erently. A high enough value of the penalty parameter is used for the rst set while a lower than enough value is used for the second set, leading to strong enforcement of the rst set of the constraint and partial ful llment of the second set. Since the proper value of the penalty parameter to be used for the reliability constraints is not known a priori, an adaptive method is proposed to nd the proper value. The proposed model is used for operation of Dez reservoir in Iran and the results are presented and compared with those of a Genetic Algorithm. Hydropower operation is considered over short, medium, and long-term periods to demonstrate the e ciency and e ectiveness of the proposed method for problems of di erent scales. The proposed model has proven to produce results superior to the results of GA with much reduced computational e ort.

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“…The TGD began operation in 2003, and after three major impoundments, construction was completed in 2009 [12]. With the construction and operation of the TGD, YRB hydrological drought has been intensively affected by human activities [6], and the reservoir operations may seriously affect the ecological balance of the downstream environments [13].…”

Section: Introductionmentioning

confidence: 99%

Assessing the Influence of the Three Gorges Dam on Hydrological Drought Using GRACE Data

Wang

Chao

et al. 2018

Water

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Abstract:With worldwide economic and social development, more dams are being constructed to meet the increasing demand for hydropower, which may considerably influence hydrological drought. Here, an index named the "Dam Influence Index" (DII) is proposed to assess the influence of the Three Gorges Dam (TGD) on hydrological drought in the Yangtze River Basin (YRB) in China. First, the total terrestrial water storage (TTWS) is derived from Gravity Recovery and Climate Experiment data. Then, the natural-driven terrestrial water storage (NTWS) is predicted from the soil moisture, precipitation, and temperature data based on an artificial neural network model. Finally, the DII is derived using the empirical (Kaplan-Meier) cumulative distribution function of the differences between the TTWS and the NTWS. The DIIs of the three sub-basins in the YRB were 1.38, −4.66, and −7.32 between 2003 and 2008, which indicated an increase in TTWS in the upper sub-basin and a reduction in the middle and lower sub-basins. According to the results, we concluded that impoundments of the TGD between 2003 and 2008 slightly alleviated the hydrological drought in the upper sub-basin and significantly aggravated the hydrological drought in the middle and lower sub-basins, which is consistent with the Palmer Drought Severity Index. This study provides a new perspective for estimating the effects of large-scale human activities on hydrological drought and a scientific decision-making basis for the managing water resources over the operation of the TGD.

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Modelling the impacts of reservoir operations on the downstream riparian vegetation and fish habitats in the Lijiang River

Cited by 33 publications

References 55 publications

Modelling Tools to Analyze and Assess the Ecological Impact of Hydropower Dams

Modelling Tools to Analyze and Assess the Ecological Impact of Hydropower Dams

An Adaptive Relaxed Cellular Automata Method for Reliability-Based Hydropower Operation of Reservoirs

Assessing the Influence of the Three Gorges Dam on Hydrological Drought Using GRACE Data

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