Decision support for diffuse pollution management

Panagopoulos, Yiannis; Makropoulos, Christos; Mimikou, Maria

doi:10.1016/j.envsoft.2011.11.006

Cited by 110 publications

(68 citation statements)

References 44 publications

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“…Depuration comprises different mechanisms such as dilution, sedimentation, reaeration, adsorption, absorption, and chemical and biological reactions, and can be evaluated by the same mathematical model (Bahadur et al, 2013, González et al, 2014. Water quality models are essential tools for the development of planning and management measures for water resources in river basins (Panagopoulos et al, 2012).…”

Section: Introductionmentioning

confidence: 99%

Experimenting biochemical oxygen demand decay rates of Malaysian river water in a laboratory flume

Nuruzzaman¹,

Al‐Mamun

Salleh

2017

Environmental Engineering Research

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Mathematical models used to simulate the water quality and the processes of self-purification of water bodies are important tools to support effective water resource management. The objective of this study was to evaluate the impact of organic pollution on water quality and the assimilative capacity of organic matter in the Ribeirão Vermelho stream situated in the city of Lavras in Minas Gerais. The deoxygenation rate (K 1 ) and reaeration (K 2 ) were determined and tested in three segments of the Ribeirão Vermelho over two seasons (summer and winter). The purification process simulation was performed using the StreeterPhelps model. The highest K 1 and K 2 values occurred during the winter period which was characterized by lower flows. Simulation of the dissolved oxygen profile and biological oxygen demand fitted the model well, indicating the prevalence of carbonaceous deoxygenation due to nitrification and also demonstrating the importance of natural reaeration as part of the purification process. Different response was observed during the winter, in which the high primary productivity values stood in the reaeration process stream. Biological oxygen demand values did not meet the limits recommended by the Resolution of the Ministry of the Environment 357/2005 throughout the river system and the entire study period. In conclusion, the Ribeirão Vermelho is unable to self-purify along its entire length, and water quality is influenced by effluent discharge which intensifies degradation.Keywords: effluent release, Streeter Phelps models, water quality.Coeficiente de desoxigenação, reaeração e potencial de auto purificação de um ribeirão urbano RESUMOOs modelos matemáticos utilizados para simular a qualidade da água e o processo de autodepuração de corpos d'água são importantes ferramentas de auxílio à gestão dos recursos hídricos. Assim, o objetivo deste trabalho foi avaliar o impacto da poluição orgânica na qualidade da água e a capacidade de assimilação da matéria orgânica no Ribeirão Vermelho. Para essa finalidade, foi desenvolvido e testados os coeficientes de desoxigenação (K 1 ) e reaeração (K 2 ), em três trechos e em dois períodos distintos (verão e inverno). Os maiores valores de K 1 e K 2 foram obtidos durante o inverno, onde foram registrados as menores vazões. A simulação do processo de autodepuração foi realizada com o uso do modelo de Streeter-Phelps. A simulação do perfil de OD e DBO no verão apresentou calibração aceitável, tendo em vista a otimização dos coeficientes, evidenciando a prevalência da desoxigenação por demanda carbonácea sobre a nitrificação e a importância da reaeração natural no processo de autodepuração. Comportamento diferente foi observado no inverno, no qual os altos valores de produtividades sobressaíram no processo de reaeração no ribeirão. Apenas o parâmetro demanda bioquímica de oxigênio não respeitou os limites preconizados pela Resolução do Ministério do Meio Ambiente 357/2005, tendo ficado em toda a extensão do rio e, em ambos períodos, fora da regulamentação. Des...

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Section: Introductionmentioning

confidence: 99%

Experimenting biochemical oxygen demand decay rates of Malaysian river water in a laboratory flume

Nuruzzaman¹,

Al‐Mamun

Salleh

2017

Environmental Engineering Research

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“…Generally, land use and climate changes impacts were identified using hydrological models as supporting tools which provided valuable frameworks to investigating changes among various hydrologic pathways caused by climate and human activities in agricultural ecosystems [25][26][27]. As one of the various tools developed, the Soil and Water Assessment Tool (SWAT) model [28] was applied in many fields to assess water quantity and quality [2,[29][30][31][32][33][34]. Likewise, the important and unrestricted application of the model for climate change and land use scenarios simulation was also confirmed by recent reviews of SWAT literature [35,36].…”

Section: Introductionmentioning

confidence: 99%

Rice Intensification in a Changing Environment: Impact on Water Availability in Inland Valley Landscapes in Benin

Danvi

Giertz

Zwart³

et al. 2018

Water

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This study assesses the impact of climate change on hydrological processes under rice intensification in three headwater inland valley watersheds characterized by different land conditions. The Soil and Water Assessment Tool was used to simulate the combined impacts of two land use scenarios defined as converting 25% and 75% of lowland savannah into rice cultivation, and two climate scenarios (A1B and B1) of the Intergovernmental Panel on Climate Change Special Report on Emissions Scenarios. The simulations were performed based on the traditional and the rainfed-bunded rice cultivation systems and analyzed up to the year 2049 with a special focus on the period of 2030-2049. Compared to land use, climate change impact on hydrological processes was overwhelming at all watersheds. The watersheds with a high portion of cultivated areas are more sensitive to changes in climate resulting in a decrease of water yield of up to 50% (145 mm). Bunded fields cause a rise in surface runoff projected to be up to 28% (18 mm) in their lowlands, while processes were insignificantly affected at the vegetation dominated-watershed. Analyzing three watersheds instead of one as is usually done provides further insight into the natural variability and therefore gives more evidence of possible future processes and management strategies.

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“…Arabi et al, 2006;Gitau et al, 2006;Jha et al, 2009;Rabotyagov et al, 2010); however, in those examples the model was proven inefficient. A notable example is the recent study of Panagopoulos et al (2012), who have substituted the dynamic linkage between SWAT and the optimization algorithm by a database that serves, in this case, as the real-time pollutant load estimator and cost data provider; this led to a significant acceleration of the process. This approach was followed in this paper, which additionally innovates on the incorporation of irrigation practices into the tool.…”

Section: Introductionmentioning

confidence: 99%

Decision support for agricultural water management

Panagopoulos

Makropoulos²,

Mimikou³

2013

Global NEST Journal

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Irrigation water use is the major pressure limiting the availability of fresh water resources in the Mediterranean. Efficient irrigation scheduling programs (IRSPs) are able to reduce water consumption; however, their selection and placement in large agricultural landscapes depend on location specific characteristics and economic indicators. Towards this end, a novel and efficient Decision Support Tool (DST) is developed in MATLAB-programming, able to assess the effectiveness of different IRSPs in reducing total agricultural water use at the catchment scale along with their impact on crop yields. The DST integrates a look-up table with data on irrigation water amounts and crop yields at different locations within a catchment, populated by a hydrological and crop growth estimator: the process-based SWAT model, into a multi-objective Genetic Algorithm, which serves as the optimization engine for the allocation of measures across the agricultural land. The optimization scheme leads rapidly to the optimal trade-off frontier between the conflicting objectives providing spatial allocations of IRSPs. The tool was implemented in the Ali Efenti catchment demonstrating optimal solutions that could save more than 10% of water by reducing cotton yields less than 5% from the baseline. The study highlights the potential of the tool to assist in the development of cost-effective water saving plans at the catchment level in order to reduce the risk of desertification in intensively cultivated areas.

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Decision support for diffuse pollution management

Cited by 110 publications

References 44 publications

Experimenting biochemical oxygen demand decay rates of Malaysian river water in a laboratory flume

Experimenting biochemical oxygen demand decay rates of Malaysian river water in a laboratory flume

Rice Intensification in a Changing Environment: Impact on Water Availability in Inland Valley Landscapes in Benin

Decision support for agricultural water management

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