The aim of this study is to understand the impact of flow regulation on supporting ecosystem services in the Beas Basin in India, using macroinvertebrates as an indicator. Findings show that both river flows and macroinvertebrate abundance have decreased overtime in the Beas Basin. Consequently, this could have a detrimental impact on instream supporting ecosystem services delivery. Such an understanding is important in future water resources management in the Beas River Basin.

This paper investigated the long-term trends in precipitation from 16 stations located in the lower Shire catchment in Malawi over the period 1953–2010. The results indicate that annual precipitation has increased, whereas, monthly precipitation revealed an upward trend in wet seasons (November to April) and a downward trend in dry seasons (May to October). The monthly peak trend analysis has shown upward trend in rainy months at all stations.

In this study, multi-layer perceptron (MLP) artificial neural networks have been applied to forecast one-month-ahead inflow for the Ubonratana reservoir, Thailand. This is necessary because without knowing the expected inflow, one would not know the amount of water to allocate at the start of each month. As expected, knowing the inflow through our forecasts significantly improved the performance of the Ubonratana reservoir, the test case. We expect the study to have utility for other systems.