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This could produce complex response surfaces that are not well defined by either independent or correlated normal distributions (McIntyre et al., 2005, Sorooshian and Gupta, 1995). Moreover, the response surface becomes more complex if applied to a model with several parameters (McIntyre et al., 2005), such as the case considered in this study. Despite continuous research efforts and investments to accumulate hydrological data over the last century, there are still some areas of the world with sparse hydrometric gauging stations.

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  • Therefore, the parameter values are identical for all ungauged catchments.
  • This could produce complex response surfaces that are not well defined by either independent or correlated normal distributions (McIntyre et al., 2005, Sorooshian and Gupta, 1995).
  • The success of this approach depends on the choices of attributes for the similarity of catchments.

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Multiobjective sensitivity analysis of sediment and nitrogen processes with a watershed model

In the AM approach, each model parameter for the ungauged catchment is simply computed as a mean of the corresponding parameter of the gauged catchments. Therefore, the parameter values are identical for all ungauged catchments. The PS approach uses catchment attributes to group the similar catchments. This approach identifies how to buy dogecola a donor catchment that is most similar to an ungauged site with respect to its catchment attributes and then transfers a complete parameter set from the donor to the corresponding ungauged catchment for hydrological modelling. The success of this approach depends on the choices of attributes for the similarity of catchments.

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In other words, the density of hydrometric gauging stations is highly variable across the world. In many hydrological analysis studies, managing the ungauged catchments has therefore become a major obstacle that requires attention. Various versions of regionalization, a process of transferring hydrological information from gauged to ungauged catchments, have been developed in the past several decades. You can buy, sell or trade LTBCoin (LTBC) on more than 10 exchange listed above. You can select some of above exchanges to buy LTBCoin (LTBC) with USD, INR, CAD, EUR, GBP, RUB, etc. Also, you can use the same exchanges to trade LTBCoin (LTBC) against cryptocurrencies like BTC, ETH, LTC, ETC, XMR, USDT, BNB, etc.

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Regionalisation of catchment model parameters

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The SP approach estimates the model parameters at ungauged catchments using an interpolation technique, such as kriging (Merz and Blöschl, 2004, Parajka et al., 2005). This approach assumes that the nearby catchments are located in a homogeneous region. The RG approach uses catchment attributes and hydrological model parameters as independent and dependent variables, respectively (Cheng et al., 2006, Götzinger and Bárdossy, 2007, Merz and Blöschl, 2004, Parajka et al., 2005, Young, 2006). Moreover, the structural form of the RG equations, in the case of multiple ungauged catchments, may vary from one catchment to the next even if those catchments share the same independent variables of the gauged catchments. The other key issue with the RG approach is the interaction between the model parameters during the calibration (McIntyre et al., 2005, Oudin et al., 2008).

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