Baseflow Contribution to Streamflow and Aquatic Habitats Using Physical Habitat Simulations

Using AI and simulations to design and control space habitats

This paper describes a dynamic simulation of a space habitat. The simulation is configurable and controllable via external programs. Several groups have been using the simulation to study the impact of artificial intelligence tools on space habitat design and control. We outline some of the AI challenges and invite the AI community to use our simulation to further NASA’s exploration goals.

Contribution to the flora and habitats of the Estil wetland (Astara) and its surroundings, Northwest Iran

The present study involves the flora of the Estil wetland and its surroundings in Astara, northwest Iran. During 2006-07, we examined the plant specimens collected in this area and determined that there are 247 vascular plant taxa (229 species, 11 subspecies, and seven varieties) in 170 genera and 60 families. The largest families are Poaceae (27 taxa), Asteraceae (26), and Brassicaceae (21). G...

Using Aquatic Macroinvertebrates as Indicators of Streamflow Duration

Estimation of 7-day, 10-year low-streamflow statistics using baseflow correlation

[1] Estimators of low-streamflow statistics are often required for water quality and quantity management at gauged and ungauged sites. Here the technique of baseflow correlation is investigated as an estimator of the 7-day, 10-year low-streamflow statistic at ungauged sites. This method uses an information transfer technique to estimate streamflow statistics at an ungauged site by correlating a...

Wood and other aquatic habitat

~ Riparian vegetation increases stream channel complexity and directly contributes to aquatic habitat through inputs of logs and branches. In turn, the provision of complex habitat has a major influence on aquatic biodiversity. ~ Logs and branches can enhance stream stability, regulate sediment transport and exert significant control on channel complexity in bedrock rivers and channel geomorpho...