Difference between Conv1D, Conv2D, Conv3D and where to use which in Convolutional Neural Network (CNN)

Question

I am newbie in deep learning and doing my Final Year Project in Deep learning. I know that we use Conv2D in image related task but my professor asked me that why don't we use Conv1D or Conv3D? Why do we specifically use Conv2D here. I've searched whole internet to get proper answer to this question but i don't seem to find any solid answer to it. Please help me in this question because i am very confused and don't seem to find any proper answer.

Thank you!