使用的函数:

aaarticlea/png;base64,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" 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函数解释:

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" alt="" />

代码:

<!DOCTYPE html>
<html> <head>
<meta charset="UTF-8">
<title></title>
<script src="../js/jquery-2.1.0.js" type="text/javascript" charset="utf-8"></script>
<script type="text/javascript">
function addOption() {
var $option = $("<option>" + 4 +"</option>")
$("#test").append($option);
}
</script>
</head> <body>
<select name="test" id="test">
<option value="1">1</option>
<option value="2" checked="checked">2</option>
<option value="3">3</option>
</select>
<a href=javascript:addOption()>点击加一个 </a> </body> </html>

测试:

aaarticlea/png;base64,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" alt="" />

点击后

aaarticlea/png;base64,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" alt="" />

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