Achela Fernando

Use of Gene Expression Programming for Multimodel Combination of Rainfall-Runoff Models

AbstractThis paper deals with the application of an innovative method for combining estimated outputs from a number of rainfall-runoff models using gene expression programming (GEP) to perform symbolic regression. The GEP multimodel combination method uses the synchronous simulated river flows from four conventional rainfall-runoff models to produce a set of combined river flow estimates for four different catchments. The four selected models for the multimodel combinations are the linear perturbation model (LPM), the linearly varying gain factor model (LVGFM), the soil moisture accounting and routing (SMAR) model, and the probability-distributed interacting storage capacity (PDISC) model. The first two of these models are black-box models, the LPM exploiting seasonality and the LVGFM employing a storage-based coefficient of runoff. The remaining two are conceptual models. The data of four catchments with different geographical locations and hydrological and climatic conditions are used to test the perfor...

Participatory land use management of public spaces in New Zealand

This paper summarises a literature review undertaken for a project to develop information visualisation of participatory land use management (PLUM) in New Zealand. No examples were found where information visualisation and/or a participatory approach had been used in the creation of a Land Management System (LMS) for New Zealand. However, some of the relevant participatory methods applied elsewhere have been integrated in this paper to develop a novel strategy for managing New Zealand parks and reserves.