> For the complete documentation index, see [llms.txt](https://water-strategy.gitbook.io/waterstrategy/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://water-strategy.gitbook.io/waterstrategy/tutorials/creating-and-running-a-simple-model/making-changes-to-a-model/adding-a-reservoir.md). # Adding a Reservoir Please watch the video to add a reservoir node to the model built in the previous tutorial. To do this, please create a copy of the model as shown in the video and please work in the **With abstraction** scenario {% embed url="" %} Drag and drop a **Storage** ![](/files/14NGjMWVlu1lspJ6QaLz) node on the network. Then delete the link conecting the **Catchment** node to the **Link** node. Connect the **Catchment** node to the **Storage** node and then connect the **Storage** node to the **Link** node. Initially set the the **max\_volume** of the storage node to 0 Mm3 and the **initial\_volume\_pc** to 0 and run the model. Then clone the **With\_abstraction** scenario and make a new scenario called **'Reservoir with storage and abstraction'.** In the new scenario, set the **max\_volume** of the storage node to 6 Mm3 and the **initial\_volume\_pc** to 0.33. The reservoir will then begin the simulation at 30% full. Alternatively the **initial\_volume** can be set at 1.8 Mm3. Either **initial\_volume** or **initial\_volume\_pc** needs to be set.
Run the model and view the **simulated\_volume** of the reservoir.
The resrevoir empties every dry season and fills every wet season. Compare the **simulated\_flow** on the demand node for the **'Reservoir with storage and abstraction'** and **'With abstraction'** scenario**.**
The storage reduced the deficit in the demand node. However, we can see that even with the storage, there are times that the demand node does not receive its full demand of 0.7 Mm3. ## Exercise We saw that under flow Scenario 1, the reservoir would empty every year. How low must the demand be for the reservoir to still have some storage volume even in the dry season? --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter: ``` GET https://water-strategy.gitbook.io/waterstrategy/tutorials/creating-and-running-a-simple-model/making-changes-to-a-model/adding-a-reservoir.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.