Forecasting expected hydrological runoff

Foundry Space Ltd.为自然资源公司提供全方位的地图绘制和地理分析服务。 气候变化导致水文系统的变异性更大，给水资源管理带来了挑战 资源。为了获得有竞争力的市场优势，Foundry Space Ltd.希望扩大其水分析 平台包括月度和季节性供水量的预测。在这项拟议的研究项目中， Foundry Space Ltd.将与数学系的Farouk Nathoo博士合作 统计(UVIC)开发用于预测供水或径流的建模工具。Nathoo博士将使用 高级统计将历史水位和气候数据集成到模型中以预测水文 流。使用高级统计--机器学习和贝叶斯统计--将克服许多关键问题 水流预报目前存在的局限性。

Foundry Spatial Ltd. offers full service mapping and geographical analysis for natural resource companies. Climate change is leading to greater variability in hydrological systems, creating challenges for managing water resources. To gain a competitive market edge, Foundry Spatial Ltd. would like to expand its Water Analytics platform to include forecasting of monthly and seasonal water supply. In this proposed research project, Foundry Spatial Ltd. would collaborate with Dr. Farouk Nathoo of the Department of Mathematics and Statistics (Uvic) to develop modeling tools for forecasting water supply or runoff. Dr. Nathoo will use advanced statistics to integrate historical water gauge and climate data into models to predict hydrological flow. The use of advanced statistics-machine learning and Bayesian statistics-will overcome many of the key limitations that currently exist with water flow forecasting.