Problem 58374. Classify water surface profiles

Created by ChrisR

Solve Later

{"parts":[{"partUri":"/matlab/document.xml","contentType":"application/vnd.mathworks.matlab.code.document+xml","content":"<?xml version=\"1.0\" encoding=\"UTF-8\"?><w:document xmlns:w=\"http://schemas.openxmlformats.org/wordprocessingml/2006/main\"><w:body><w:p><w:pPr><w:pStyle w:val=\"text\"/><w:jc w:val=\"left\"/></w:pPr><w:r><w:rPr><w:b/></w:rPr><w:t>Problem statement</w:t></w:r></w:p><w:p><w:pPr><w:pStyle w:val=\"text\"/><w:jc w:val=\"left\"/></w:pPr><w:r><w:t>Write a function to classify the water surface profile starting at depth </w:t></w:r><w:customXml w:element=\"equation\"><w:customXmlPr><w:attr w:name=\"displayStyle\" w:val=\"false\"/><w:attr w:name=\"altTextString\" w:val=\"y\"/></w:customXmlPr><w:r><w:t>y</w:t></w:r></w:customXml><w:r><w:t> in a channel with longitudinal slope </w:t></w:r><w:customXml w:element=\"equation\"><w:customXmlPr><w:attr w:name=\"displayStyle\" w:val=\"false\"/><w:attr w:name=\"altTextString\" w:val=\"S0\"/></w:customXmlPr><w:r><w:t>S_0</w:t></w:r></w:customXml><w:r><w:t>, discharge </w:t></w:r><w:customXml w:element=\"equation\"><w:customXmlPr><w:attr w:name=\"displayStyle\" w:val=\"false\"/><w:attr w:name=\"altTextString\" w:val=\"Q\"/></w:customXmlPr><w:r><w:t>Q</w:t></w:r></w:customXml><w:r><w:t>, Manning roughness coefficient </w:t></w:r><w:customXml w:element=\"equation\"><w:customXmlPr><w:attr w:name=\"displayStyle\" w:val=\"false\"/><w:attr w:name=\"altTextString\" w:val=\"n\"/></w:customXmlPr><w:r><w:t>n</w:t></w:r></w:customXml><w:r><w:t>, and cross section specified by a structure </w:t></w:r><w:r><w:rPr><w:rFonts w:cs=\"monospace\"/></w:rPr><w:t>channelStruct</w:t></w:r><w:r><w:t> as in </w:t></w:r><w:hyperlink w:docLocation=\"https://www.mathworks.com/matlabcentral/cody/problems/58314-compute-the-normal-depth-of-a-channel\"><w:r><w:rPr><w:u/></w:rPr><w:t>Cody Problem 58314</w:t></w:r></w:hyperlink><w:r><w:t>. The unit system will be specified in </w:t></w:r><w:r><w:rPr><w:rFonts w:cs=\"monospace\"/></w:rPr><w:t>units</w:t></w:r><w:r><w:t> as either ‘SI’ or ‘USCS’ (U.S. customary system); take the acceleration of gravity </w:t></w:r><w:customXml w:element=\"equation\"><w:customXmlPr><w:attr w:name=\"displayStyle\" w:val=\"false\"/><w:attr w:name=\"altTextString\" w:val=\"g\"/></w:customXmlPr><w:r><w:t>g</w:t></w:r></w:customXml><w:r><w:t> to be either 9.81 </w:t></w:r><w:customXml w:element=\"equation\"><w:customXmlPr><w:attr w:name=\"displayStyle\" w:val=\"false\"/><w:attr w:name=\"altTextString\" w:val=\"m/s^2\"/></w:customXmlPr><w:r><w:t>\\rm m/s^2</w:t></w:r></w:customXml><w:r><w:t> or 32.2 </w:t></w:r><w:customXml w:element=\"equation\"><w:customXmlPr><w:attr w:name=\"displayStyle\" w:val=\"false\"/><w:attr w:name=\"altTextString\" w:val=\"ft/s^2\"/></w:customXmlPr><w:r><w:t>\\rm ft/s^2</w:t></w:r></w:customXml><w:r><w:t>. You can assume that the slopes will be either mild or steep and the profiles will be one of the six shown in the figure below. </w:t></w:r></w:p><w:p><w:pPr><w:pStyle w:val=\"text\"/><w:jc w:val=\"left\"/></w:pPr><w:r><w:rPr><w:b/></w:rPr><w:t>Background</w:t></w:r></w:p><w:p><w:pPr><w:pStyle w:val=\"text\"/><w:jc w:val=\"left\"/></w:pPr><w:r><w:t>Sections of channels are classifying by the relationship between the </w:t></w:r><w:hyperlink w:docLocation=\"https://www.mathworks.com/matlabcentral/cody/problems/58324\"><w:r><w:rPr><w:u/></w:rPr><w:t>critical depth</w:t></w:r></w:hyperlink><w:r><w:rPr/><w:t> </w:t></w:r><w:customXml w:element=\"equation\"><w:customXmlPr><w:attr w:name=\"displayStyle\" w:val=\"false\"/><w:attr w:name=\"altTextString\" w:val=\"yc\"/></w:customXmlPr><w:r><w:t>y_c</w:t></w:r></w:customXml><w:r><w:rPr/><w:t> and the </w:t></w:r><w:hyperlink w:docLocation=\"https://www.mathworks.com/matlabcentral/cody/problems/58314-compute-the-normal-depth-of-a-channel\"><w:r><w:rPr><w:u/></w:rPr><w:t>normal depth</w:t></w:r></w:hyperlink><w:r><w:t> </w:t></w:r><w:customXml w:element=\"equation\"><w:customXmlPr><w:attr w:name=\"displayStyle\" w:val=\"false\"/><w:attr w:name=\"altTextString\" w:val=\"yn\"/></w:customXmlPr><w:r><w:t>y_n</w:t></w:r></w:customXml><w:r><w:t>. Slopes with </w:t></w:r><w:customXml w:element=\"equation\"><w:customXmlPr><w:attr w:name=\"displayStyle\" w:val=\"false\"/><w:attr w:name=\"altTextString\" w:val=\"yn &lt; yc\"/></w:customXmlPr><w:r><w:t>y_n &lt; y_c</w:t></w:r></w:customXml><w:r><w:t> are </w:t></w:r><w:r><w:rPr><w:i/></w:rPr><w:t>steep</w:t></w:r><w:r><w:t>—that is, normal flow is supercritical (fast and shallow), whereas slopes with </w:t></w:r><w:customXml w:element=\"equation\"><w:customXmlPr><w:attr w:name=\"displayStyle\" w:val=\"false\"/><w:attr w:name=\"altTextString\" w:val=\"yn &gt; yc\"/></w:customXmlPr><w:r><w:t>y_n &gt; y_c</w:t></w:r></w:customXml><w:r><w:t> are </w:t></w:r><w:r><w:rPr><w:i/></w:rPr><w:t>mild</w:t></w:r><w:r><w:t>—that is, normal flow is subcritical (slow and deep). </w:t></w:r></w:p><w:p><w:pPr><w:pStyle w:val=\"text\"/><w:jc w:val=\"left\"/></w:pPr><w:r><w:t>The type of water surface profile in gradually varied flow then depends on the water depth </w:t></w:r><w:customXml w:element=\"equation\"><w:customXmlPr><w:attr w:name=\"displayStyle\" w:val=\"false\"/><w:attr w:name=\"altTextString\" w:val=\"y\"/></w:customXmlPr><w:r><w:t>y</w:t></w:r></w:customXml><w:r><w:t> relative to these two depths, as shown in the figure below. Profile S1 has </w:t></w:r><w:customXml w:element=\"equation\"><w:customXmlPr><w:attr w:name=\"displayStyle\" w:val=\"false\"/><w:attr w:name=\"altTextString\" w:val=\"y &gt; yc &gt; yn\"/></w:customXmlPr><w:r><w:t>y &gt; y_c &gt; y_n</w:t></w:r></w:customXml><w:r><w:t>; profile S2 has </w:t></w:r><w:customXml w:element=\"equation\"><w:customXmlPr><w:attr w:name=\"displayStyle\" w:val=\"false\"/><w:attr w:name=\"altTextString\" w:val=\"yc &gt; y &gt; yn\"/></w:customXmlPr><w:r><w:t>y_c &gt; y &gt; y_n</w:t></w:r></w:customXml><w:r><w:t>; and profile S3 has </w:t></w:r><w:customXml w:element=\"equation\"><w:customXmlPr><w:attr w:name=\"displayStyle\" w:val=\"false\"/><w:attr w:name=\"altTextString\" w:val=\"yc &gt; yn &gt; y\"/></w:customXmlPr><w:r><w:t>y_c &gt; y_n &gt; y</w:t></w:r></w:customXml><w:r><w:t>. Profile M1 has </w:t></w:r><w:customXml w:element=\"equation\"><w:customXmlPr><w:attr w:name=\"displayStyle\" w:val=\"false\"/><w:attr w:name=\"altTextString\" w:val=\"y &gt; yn &gt; yc\"/></w:customXmlPr><w:r><w:t>y &gt; y_n &gt; y_c</w:t></w:r></w:customXml><w:r><w:t>; profile M2 has </w:t></w:r><w:customXml w:element=\"equation\"><w:customXmlPr><w:attr w:name=\"displayStyle\" w:val=\"false\"/><w:attr w:name=\"altTextString\" w:val=\"yn &gt; y &gt; yc\"/></w:customXmlPr><w:r><w:t>y_n &gt; y &gt; y_c</w:t></w:r></w:customXml><w:r><w:t>; and profile M3 has </w:t></w:r><w:customXml w:element=\"equation\"><w:customXmlPr><w:attr w:name=\"displayStyle\" w:val=\"false\"/><w:attr w:name=\"altTextString\" w:val=\"yn &gt; yc &gt; y\"/></w:customXmlPr><w:r><w:t>y_n &gt; y_c &gt; y</w:t></w:r></w:customXml><w:r><w:t>. </w:t></w:r><w:r><w:t> </w:t></w:r></w:p><w:p><w:pPr><w:pStyle w:val=\"text\"/><w:jc w:val=\"left\"/></w:pPr><w:customXml w:element=\"image\"><w:customXmlPr><w:attr 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<div style = "text-align: start; line-height: 20.4333px; min-height: 0px; white-space: normal; color: rgb(0, 0, 0); font-family: Menlo, Monaco, Consolas, monospace; font-style: normal; font-size: 14px; font-weight: 400; text-decoration: rgb(0, 0, 0); white-space: normal; "><div style="block-size: 780.7px; display: block; min-width: 0px; padding-block-start: 0px; padding-top: 0px; perspective-origin: 407px 390.35px; transform-origin: 407px 390.35px; vertical-align: baseline; "><div style="block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 10.5px; text-align: left; transform-origin: 384px 10.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; "><span style="block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 63.0083px 8px; transform-origin: 63.0083px 8px; unicode-bidi: normal; ">Problem statement</div><div style="block-size: 106px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 53px; text-align: left; transform-origin: 384px 53px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; "><span style="block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 211.842px 8px; transform-origin: 211.842px 8px; unicode-bidi: normal; ">Write a function to classify the water surface profile starting at depth y<span style="block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 112.05px 8px; transform-origin: 112.05px 8px; unicode-bidi: normal; "> in a channel with longitudinal slope <img src="data:image/png;base64,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" alt="S0" style="width: 15.5px; height: 20px;" width="15.5" height="20"><span style="block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 36.175px 8px; transform-origin: 36.175px 8px; unicode-bidi: normal; ">, discharge Q<span style="block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 3.88333px 8px; transform-origin: 3.88333px 8px; unicode-bidi: normal; ">, Manning roughness coefficient n<span style="block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 134.183px 8px; transform-origin: 134.183px 8px; unicode-bidi: normal; ">, and cross section specified by a structure <span style="block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 50.05px 8px; transform-origin: 50.05px 8px; unicode-bidi: normal; ">channelStruct<span style="block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 18.6667px 8px; transform-origin: 18.6667px 8px; unicode-bidi: normal; "> as in <a target='_blank' href = "https://www.mathworks.com/matlabcentral/cody/problems/58314-compute-the-normal-depth-of-a-channel">Cody Problem 58314</a><span style="block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 3.88333px 8px; transform-origin: 3.88333px 8px; unicode-bidi: normal; ">. The unit system will be specified in <span style="block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 19.25px 8px; transform-origin: 19.25px 8px; unicode-bidi: normal; ">units<span style="block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 252.408px 8px; transform-origin: 252.408px 8px; unicode-bidi: normal; "> as either ‘SI’ or ‘USCS’ (U.S. customary system); take the acceleration of gravity g<span style="block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 54.45px 8px; transform-origin: 54.45px 8px; unicode-bidi: normal; "> to be either 9.81 <img src="data:image/png;base64,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" alt="m/s^2" style="width: 33px; height: 19.5px;" width="33" height="19.5"><span style="block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 25.6667px 8px; transform-origin: 25.6667px 8px; unicode-bidi: normal; "> or 32.2 <img src="data:image/png;base64,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" alt="ft/s^2" style="width: 30.5px; height: 19.5px;" width="30.5" height="19.5"><span style="block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 258.808px 8px; transform-origin: 258.808px 8px; unicode-bidi: normal; ">. You can assume that the slopes will be either mild or steep and the profiles will be one of the six shown in the figure below. </div><div style="block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 10.5px; text-align: left; transform-origin: 384px 10.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; "><span style="block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 40.8333px 8px; transform-origin: 40.8333px 8px; unicode-bidi: normal; ">Background</div><div style="block-size: 65px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 32.5px; text-align: left; transform-origin: 384px 32.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; "><span style="block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 211.617px 8px; transform-origin: 211.617px 8px; unicode-bidi: normal; ">Sections of channels are classifying by the relationship between the <a target='_blank' href = "https://www.mathworks.com/matlabcentral/cody/problems/58324">critical depth</a><span style="block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 1.94167px 8px; transform-origin: 1.94167px 8px; unicode-bidi: normal; "> <img src="data:image/png;base64,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" alt="yc" style="width: 14px; height: 20px;" width="14" height="20"><span style="block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 27.225px 8px; transform-origin: 27.225px 8px; unicode-bidi: normal; "> and the <a target='_blank' href = "https://www.mathworks.com/matlabcentral/cody/problems/58314-compute-the-normal-depth-of-a-channel">normal depth</a><span style="block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 1.94167px 8px; transform-origin: 1.94167px 8px; unicode-bidi: normal; "> <img src="data:image/png;base64,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" alt="yn" style="width: 14.5px; height: 20px;" width="14.5" height="20"><span style="block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 41.6167px 8px; transform-origin: 41.6167px 8px; unicode-bidi: normal; ">. Slopes with <img src="data:image/png;base64,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" alt="yn < yc" style="width: 44.5px; height: 20px;" width="44.5" height="20"><span style="block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 14px 8px; transform-origin: 14px 8px; unicode-bidi: normal; "> are <span style="block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 17.1167px 8px; transform-origin: 17.1167px 8px; unicode-bidi: normal; ">steep<span style="block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 237.275px 8px; transform-origin: 237.275px 8px; unicode-bidi: normal; ">—that is, normal flow is supercritical (fast and shallow), whereas slopes with <img src="data:image/png;base64,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" alt="yn > yc" style="width: 44.5px; height: 20px;" width="44.5" height="20"><span style="block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 14px 8px; transform-origin: 14px 8px; unicode-bidi: normal; "> are <span style="block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 12.8417px 8px; transform-origin: 12.8417px 8px; unicode-bidi: normal; ">mild<span style="block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 29.55px 8px; transform-origin: 29.55px 8px; unicode-bidi: normal; ">—that is, normal flow is subcritical (slow and deep). </div><div style="block-size: 65px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 32.5px; text-align: left; transform-origin: 384px 32.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; "><span style="block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 279.292px 8px; transform-origin: 279.292px 8px; unicode-bidi: normal; ">The type of water surface profile in gradually varied flow then depends on the water depth y<span style="block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 99.35px 8px; transform-origin: 99.35px 8px; unicode-bidi: normal; "> relative to these two depths, as shown in the figure below. Profile S1 has <img src="data:image/png;base64,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" alt="y > yc > yn" style="width: 70.5px; height: 20px;" width="70.5" height="20"><span style="block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 48.6167px 8px; transform-origin: 48.6167px 8px; unicode-bidi: normal; ">; profile S2 has <img src="data:image/png;base64,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" alt="yc > y > yn" style="width: 70.5px; height: 20px;" width="70.5" height="20"><span style="block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 62.2333px 8px; transform-origin: 62.2333px 8px; unicode-bidi: normal; ">; and profile S3 has <img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAI0AAAAoCAYAAADDj3n4AAAFdklEQVR4Xu2aOasVSxDHr59AXCIxEJdAEHyBS6KBJm6JoA8VE8HADUwUdzFxf89EfO8pPOFmLiiCoLiABmogKmhk4IIfwBU/gNbv0nVo2p6Z7jnTM+d6+0Bxzr0z3dP1r39VV1XPuKH8yQhEIjAu8v58e0ZgKJMmkyAagUyaaMjygEyazIFoBDJpoiHLAzJpMgeiEcikiYYsD8ikyRyIRiCTJhqyPGDQSDNdTPJ+DJllktH102jSedBIc8eAt1e+X40mIGuudZGMuymyX+SayKggz6CR5rIAt84Y4K58/+7kmSs6vjT6fhkt5CkjDaFztshrjwewjUwpuFbT6XrD1suvoyIzLPKcld+3+524YjwG5OOLcESE74miH1juFtlmkeekiTxtbNXRdnZJAzgrjAITjBJb5fuCA/hn+ZvrRIONHlI1YV+XPO9k0p0Nk2ePzLdUZJlZMM9Y6OizRf4+b66vavj5Nk4uebh2XOSiSNPk6cvORZEG9j0Vwdt9QP5recbkRKRRQNsgj00M10mIQA+Nk2DEg014RMkcbZKnlp3LtieMdckot1i+HzuKQpz5RhLjODJ9avK8NU5C9FzuKIQhcZ6UkcbFsC3yRNu5Kqf5aDTxedgxufZN5HQbjLGekYo86HPAPMeNnngkWHRROKQmj+qG6kF2rgJBq5nnxvvskhDPXCPSVWkMeXaJzDOGJhL8JVK3dLUrmQ0yD7rrh2etNtGuZR/pPU7Jw1o037wiv080YIMoO1eRxt7r/7AWNwgg4iGbRfY1CKIm+BgDHfXTtYPoOkhgD4lo4q5luluoxBI7ys5VpCnyvi5B9JGFsHo1kccNgoO4ZCHynxG5L9JEQzDKzlWkgbHqff/J7+0isHJJB6Ga8LzWiSxNl6S2x1E5krNRRXa1Da+UZ9Nm0MiiZLG3ztioUnR/sJ1DSOPud2/kqeQRTfcOipRJnQjaz7U9jkppjsg04yxNGSdkHjfZT0kWXU+wnUNIo97H/nlPhIQzda8CRXydUqJdimaXbUjb4+jSlvWhWCMfHKissxpCFO7xdcOH5f8pIou7pmA7h5CG/fSReQKEmVmCgOYbeOcHkT9F/heJSdR8ZGnzQI9DU90O3CpKycw2ecrgQA9rqogeffj6PFWkcclCIn5OxO2NVc3Tz/VgO4eQhoX8MKspa24R2q+LEI0Oi5CgqdeGdo1p66sxujrA0zWwJdC8LPqAiZb54+U3/Sr9X5lj2fPhIOCl52xdkMVeT4idg5tVTKaJsA9EIgy5DiDSTdWMnpBHMhkaXvHyBSJtRhZXHyUNhizK29QriSpfRXaIEG04sXbL9RLeDek8XZNF11hl55H7QiINig2LlHmPnkX5wnkZaO41qgWqlSbKyJjn2vdCXPQtI7p2j4mGWhRoThCDgb4t0OY2VIRLiJ2DSINShOmqaknDWug2VNegqcdBBrqttBbKPs8MJrzvo8coWn2URajU6687f6idK0nDloPXHREpe5dFQ2xVklxXobbG6bFEWR7DWvSshigzy4qK5G9gUDW+LX1CnxNq59589vYEaJtEHohwfsM+G1L5aG/DRxrmDM1nQpVs4j6A+sdMRJWi1Y/7Lo3vWWyht0TsHE8xoNn4xAxK/dJYXRzq2tlLGrvU5IaYvVnDtVZXhDvyHMrQQdivXYDt8pJrvgPZIqNoPmNXkpo8Qxq2N60e6xo25bh+7DyyLjvS4C1ULYTZv0ViOr7an+EtuBtGY85FYuZICZRvbn1rb1guxkRDnGGiCBWTJuxgR6vghUjq5mO/OPVj519I0+9i8vgxgkBIyT1GoMhqhiKQSROKVL6vh0AmTSZDNAKZNNGQ5QGZNJkD0Qhk0kRDlgf8BHfVbjhWs9QYAAAAAElFTkSuQmCC" alt="yc > yn > y" style="width: 70.5px; height: 20px;" width="70.5" height="20"><span style="block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 37.3333px 8px; transform-origin: 37.3333px 8px; unicode-bidi: normal; ">. Profile M1 has <img src="data:image/png;base64,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" alt="y > yn > yc" style="width: 70.5px; height: 20px;" width="70.5" height="20"><span style="block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 49.7833px 8px; transform-origin: 49.7833px 8px; unicode-bidi: normal; ">; profile M2 has <img src="data:image/png;base64,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" alt="yn > y > yc" style="width: 70.5px; height: 20px;" width="70.5" height="20"><span style="block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 63.4px 8px; transform-origin: 63.4px 8px; unicode-bidi: normal; ">; and profile M3 has <img src="data:image/png;base64,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" alt="yn > yc > y" style="width: 70.5px; height: 20px;" width="70.5" height="20"><span style="block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 3.88333px 8px; transform-origin: 3.88333px 8px; unicode-bidi: normal; ">. <span style="block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 1.94167px 8px; transform-origin: 1.94167px 8px; unicode-bidi: normal; "> </div><div style="block-size: 427.7px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 213.85px; text-align: left; transform-origin: 384px 213.85px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; "><img class="imageNode" style="vertical-align: baseline;width: 440px;height: 422px" 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" data-image-state="image-loaded" width="440" height="422"></div><div style="block-size: 21px; font-family: Helvetica, Arial, sans-serif; line-height: 21px; margin-block-end: 9px; margin-block-start: 2px; margin-bottom: 9px; margin-inline-end: 10px; margin-inline-start: 4px; margin-left: 4px; margin-right: 10px; margin-top: 2px; perspective-origin: 384px 10.5px; text-align: left; transform-origin: 384px 10.5px; white-space: pre-wrap; margin-left: 4px; margin-top: 2px; margin-bottom: 9px; margin-right: 10px; "><span style="block-size: auto; display: inline; margin-block-end: 0px; margin-block-start: 0px; margin-bottom: 0px; margin-inline-end: 0px; margin-inline-start: 0px; margin-left: 0px; margin-right: 0px; margin-top: 0px; perspective-origin: 353.142px 8px; transform-origin: 353.142px 8px; unicode-bidi: normal; ">Figure by NateJonesAR - Own work, CC BY-SA 3.0, https://commons.wikimedia.org/w/index.php?curid=25698746</div></div></div>

Problem statement
Write a function to classify the water surface profile starting at depth  in a channel with longitudinal slope , discharge , Manning roughness coefficient , and cross section specified by a structure channelStruct as in Cody Problem 58314. The unit system will be specified in units as either ‘SI’ or ‘USCS’ (U.S. customary system); take the acceleration of gravity  to be either 9.81  or 32.2 . You can assume that the slopes will be either mild or steep and the profiles will be one of the six shown in the figure below. 
Background
Sections of channels are classifying by the relationship between the critical depth  and the normal depth . Slopes with  are steep—that is, normal flow is supercritical (fast and shallow), whereas slopes with  are mild—that is, normal flow is subcritical (slow and deep). 
The type of water surface profile in gradually varied flow then depends on the water depth  relative to these two depths, as shown in the figure below. Profile S1 has ; profile S2 has ; and profile S3 has . Profile M1 has ; profile M2 has ; and profile M3 has .

Figure by NateJonesAR - Own work, CC BY-SA 3.0, https://commons.wikimedia.org/w/index.php?curid=25698746

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Problem 58374. Classify water surface profiles

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