Ecosystem approach to water resources management using the MIKE 11 modeling system in the Strymonas River and Lake Kerkini

Doulgeris, Charalampos; Georgiou, Pantazis; Papadimos, D.; Papamichail, Dimitris

doi:10.1016/j.jenvman.2011.06.023

Cited by 85 publications

(53 citation statements)

References 29 publications

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“…Currently, a sizeable number of models, such as MIKE developed by DHI [17], the QUAL series model developed by US EPA [18], and EFDC developed by VIMS [19], have been widely used for water environment simulation. Among them, MIKE has shown favorable functionality and strong applicability in a number of river network studies.…”

Section: -D Mathematical River Network Modelmentioning

confidence: 99%

Emission Control in River Network System of the Taihu Basin for Water Quality Assurance of Water Environmentally Sensitive Areas

et al. 2017

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Abstract:As pollution incidents frequently occurred in the functional water areas of the Taihu Basin, Yangtze Delta, effective emission control to guarantee water quality in the Taihu Basin became the priority for environmental management. In this study, a new total emission control (TEC) method was proposed with an emphasis on the concept of water environmentally sensitive areas (WESAs). This method was verified in Wujiang District and the techniques can be concluded in three steps: (1) a 1-D mathematical model for the study area was established and the model was calibrated using field measurement data; (2) based on an analysis of administrative planning and regulations, WESAs were identified as the main controlling objectives for emission control calculations. The weighting coefficient of local pollution sources was investigated to discuss the effectiveness of TEC on water quality improvement at WESAs; and (3) applying the river network mathematical model, water quality along the river segments was simulated under different pollution control plans. The results proved the effectiveness of TEC in the study area and indicated that a 14.6% reduction in the total amount of ammonia-nitrogen (NH 3 -N), as well as a 31.1% reduction in the total amount of chemical oxygen demand (COD cr ), was essential in order to meet the water quality standard in the WESAs.

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Section: -D Mathematical River Network Modelmentioning

confidence: 99%

Emission Control in River Network System of the Taihu Basin for Water Quality Assurance of Water Environmentally Sensitive Areas

et al. 2017

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“…The relationship between the river discharge and water level (stage) or rating curves are thus important to design hydraulic structures of a flood management project and in the making of reservoir releasing policy (Rahman et al 2011). An analysis of river water level at various cross sections using a physically based flood routing hydrodynamic model is quite weighty because it requires large numbers of data sets such as time series discharge, river morphometric parameters, river hydraulics variables, bed resistance, and roughness coefficients (Vansteenkiste et al 2013;Doulgeris et al 2012). Several research studies demonstrated a successful utilization of hydrodynamic models in flood routing and stage-discharge computations using measured cross sections and time series data sets (Doulgeris et al 2012;Rahman et al 2011;Thompson et al 2009;Patro et al 2009).…”

Section: Introductionmentioning

confidence: 99%

“…An analysis of river water level at various cross sections using a physically based flood routing hydrodynamic model is quite weighty because it requires large numbers of data sets such as time series discharge, river morphometric parameters, river hydraulics variables, bed resistance, and roughness coefficients (Vansteenkiste et al 2013;Doulgeris et al 2012). Several research studies demonstrated a successful utilization of hydrodynamic models in flood routing and stage-discharge computations using measured cross sections and time series data sets (Doulgeris et al 2012;Rahman et al 2011;Thompson et al 2009;Patro et al 2009). These models require precise river geometric data, which is difficult to measure at the desired study area locations because a few studies also reported several instability issues in the river flow hydrodynamic models (Rahman et al 2011;Thomson et al 2004).…”

Section: Introductionmentioning

confidence: 99%

Unsteady High Velocity Flood Flows and the Development of Rating Curves in a Himalayan Basin under Climate Change Scenarios

Singh

Goyal

2017

J. Hydrol. Eng.

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Hydrologic models are not able to compute unsteady flood flows, and the hydraulic models are sometimes found less effective in uncertainty estimation in the modeling outcomes. This study presents a coupled modeling framework to analyze the unsteady flows in the downstream of the Teesta and Lachung Rivers using hydrodynamic and hydrological models. The present approach leads to unsteady flow simulations along stream channel reach. Soil and Water Assessment Tool (SWAT) model is used for the projection of streamflow, water depth, and precipitation at various gauged and ungauged locations over the selected catchment using Coupled Model Intercomparison Phase 5 (CMIP5) CM3 model data sets with their representative concentration pathway (RCP) experiments and observed hydrometeorological data. SWAT-based projected scenarios are incorporated in the hydrodynamic model for the projection of water level, flood discharge, and flooded area at different sections in the downstream of the Teesta and Lachung Rivers. Using projected flood flows and water-level data, the rating curve equations have been developed at the outlets such as Chungthang and Lachung. The study outcomes resulting from both models show a very good agreement between the simulated streamflow and observed streamflow at the outlet locations. The uncertainties can also be associated in the modeling outcomes. Thus, a statistical-cum-stochastic downscaling method has been applied to downscale the CMIP5 CM3 model-based meteorological variables (e.g., temperature and precipitation). The modeling errors prior to project streamflow have been adjusted using a sequential parameter fitting approach (SUFI2). The hydrodynamic model-based projected unsteady flood flows are found highly uncertain in the downstream portion of both rivers, and thus several extreme flood peaks have been observed in the final outcomes. The observations show that the water velocities have increased in the projected scenarios (recorded as 8.5 m=s), as compared to historical scenarios (6.5 m=s). Using projected time series discharge and water level (stage), the rating curve equations, which have been developed as per the low to extreme emission scenarios, can be used in the future planning and management of the water resources systems.

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“…It proactively defends and protects the ecological health of the ecosystem. It is becoming the preferred approach for managing water quality, for example, in Europe [7], Australia [8] and South Africa [9]. For example, the European Union Water Framework Directive (WFD, 2000/60/EC) explicitly recognises and consciously advocates the ecosystem approach to managing the surface water quality of water bodies within the EU member states.…”

Section: Introductionmentioning

confidence: 99%

Ecosystem Approach to Managing Water Quality

Odume¹

2017

Water Quality

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This chapter argues for the ecosystem approach to managing water quality, which advocates the management of water, land and the associated living resources at the catchment scale as complex social-ecological systems and proactively defend and protect the ecological health of the ecosystem for the continuing supply of ecosystem services for the benefit of society. It argues for a shift from the engineering-driven command and control approach to water resource management. Environmental water quality (EWQ) is discussed as a holistic and integrated tripod ecosystem approach to managing water quality. Water physico-chemistry, biomonitoring and aquatic ecotoxicology are discussed as and their application and limitation with respect to water quality management, particularly in South Africa, is critically evaluated. The chapter concludes with a case study illustrating the application of biomonitoring for the assessment of ecosystem health in the Swartkops River, Eastern Cape, South Africa. The macroinvertebrates-based South African Scoring System version 5 was applied at three impacted sites and one control site. Two of the three impacted sites downstream of an effluent discharge point had very poor health conditions. The urgent need for ecological restoration was recommended.

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Ecosystem approach to water resources management using the MIKE 11 modeling system in the Strymonas River and Lake Kerkini

Cited by 85 publications

References 29 publications

Emission Control in River Network System of the Taihu Basin for Water Quality Assurance of Water Environmentally Sensitive Areas

Emission Control in River Network System of the Taihu Basin for Water Quality Assurance of Water Environmentally Sensitive Areas

Unsteady High Velocity Flood Flows and the Development of Rating Curves in a Himalayan Basin under Climate Change Scenarios

Ecosystem Approach to Managing Water Quality

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