Irrigation water allocation is essential to the management of agricultural water use in irrigation districts. Many irrigation optimization models were proposed from previous studies to provide decision support for water managers. In order to capture the complex nonlinear relationships and meet different water demands, more advanced multi-objective nonlinear programming models were developed in the past decade. However, it is still a challenging task to address varies uncertainties associated with irrigation optimization. Fuzzy programming, interval programming, and chance-constrained programming can be used to quantify uncertainties in simplified formats, but none of them can represent complex uncertainty in a composite format. In this thesis, a cloud-based dual objective nonlinear programming (CDONP) model is developed by implementing a cloud modeling method in an irrigation model to address the uncertainties of reference evapotranspiration (ET0) and surface water availability (SWA). The cloud modeling method is used to generate 2,000 data samples from historical data. The results show that the generated samples are consistent with historical data. Optimized allocation schemes are provided, and the performance of the CDONP model are discussed. This is the first Canadian study that used the cloud modeling method in irrigation water allocation. This method provides a solution to quantify composite uncertainties based on limited data, which represents a unique contribution to irrigation water allocation modeling. This study provides valuable decision support for agriculture management to improve water use efficiency. / Thesis / Master of Applied Science (MASc)

O objetivo deste trabalho foi incluir o méson escalar $\\kappa$ na núvem de mésons estranhos do próton e verificar se, desta forma, a contribuição de estranheza para as suas propriedades eletromagnéticas poderia ser explicada pelo modelo da núvem mesônica. Os observáveis que quantificam tal contribuição são os fatores de forma estranhos elétrico ($G_E^s$) e magnético ($G_M^s$), que têm sido objeto de grande interesse experimental nos últimos 10 anos. Usando a versão da nuvem que inclui o méson $\\kappa$, nós calculamos $G_E^s$ e $G_M^s$ em função do momento transferido dentro do intervalo 0 $\\leq Q^2 \\leq$ 1,2 GeV$^2$, de modo a abranger toda a gama de dados disponíveis no momento. Comparamos nossos resultados com os dados existentes para $G_E^s$ e $G_M^s$ e encontramos um ótimo acordo entre experimento e modelo, demonstrando que a inclusão do $\\kappa$ na núvem de mésons do próton é fundamental para que o seu conteúdo de estranheza possa ser compreendido. / The goal of this work was to include the scalar $\\kappa$ meson on the meson cloud of the proton, and then to verify if the strangeness contribution to the electromagnetic properties of the proton could be explained by the meson cloud model. The observables that quantify such a contribution are the electric ($G_E^s$) and magnetic ($G_M^s$) strange form factors, which have been subject of great experimental interest in the last 10 years. Using the version of the cloud which includes the $\\kappa$ meson, we calculated $G_E^s$ and $G_M^s$ as a function of the transferred momentum in the interval 0 $\\leq Q^2 \\leq$ 1.2 GeV$^2$, to cover the full range of available data at the time. We compared our results with existing data for $G_E^s$ and $G_M^s$ and we found a good agreement between experiment and model, showing that including $\\kappa$ on the meson cloud of the proton is crucial to understand its strangeness content.

O objetivo deste trabalho foi incluir o méson escalar $\\kappa$ na núvem de mésons estranhos do próton e verificar se, desta forma, a contribuição de estranheza para as suas propriedades eletromagnéticas poderia ser explicada pelo modelo da núvem mesônica. Os observáveis que quantificam tal contribuição são os fatores de forma estranhos elétrico ($G_E^s$) e magnético ($G_M^s$), que têm sido objeto de grande interesse experimental nos últimos 10 anos. Usando a versão da nuvem que inclui o méson $\\kappa$, nós calculamos $G_E^s$ e $G_M^s$ em função do momento transferido dentro do intervalo 0 $\\leq Q^2 \\leq$ 1,2 GeV$^2$, de modo a abranger toda a gama de dados disponíveis no momento. Comparamos nossos resultados com os dados existentes para $G_E^s$ e $G_M^s$ e encontramos um ótimo acordo entre experimento e modelo, demonstrando que a inclusão do $\\kappa$ na núvem de mésons do próton é fundamental para que o seu conteúdo de estranheza possa ser compreendido. / The goal of this work was to include the scalar $\\kappa$ meson on the meson cloud of the proton, and then to verify if the strangeness contribution to the electromagnetic properties of the proton could be explained by the meson cloud model. The observables that quantify such a contribution are the electric ($G_E^s$) and magnetic ($G_M^s$) strange form factors, which have been subject of great experimental interest in the last 10 years. Using the version of the cloud which includes the $\\kappa$ meson, we calculated $G_E^s$ and $G_M^s$ as a function of the transferred momentum in the interval 0 $\\leq Q^2 \\leq$ 1.2 GeV$^2$, to cover the full range of available data at the time. We compared our results with existing data for $G_E^s$ and $G_M^s$ and we found a good agreement between experiment and model, showing that including $\\kappa$ on the meson cloud of the proton is crucial to understand its strangeness content.

No description available.

No description available.