Forecasting expected hydrological runoff

Foundry Spatial Ltd.为自然资源公司提供全面的地图和地理分析服务。 气候变化正在导致水文系统的更大变异性，给水资源管理带来挑战 资源为了获得市场竞争优势，Foundry Spatial Ltd.希望扩大其水分析 该平台将包括每月和季节性供水预测。在这个研究项目中， 铸造空间有限公司将与数学系的Farouk Nathoo博士合作， 统计（Uvic）开发预测供水或径流的建模工具。纳苏博士会用 先进的统计数据，将历史水位计和气候数据整合到模型中，以预测水文 流使用先进的算法-机器学习和贝叶斯算法-将克服许多关键问题， 这是目前水资源预测中存在的问题。

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.