赣州市洪水风险预警系统三维版本
guoshilong
2023-02-27 4d8c6dd77427e8e581fda17b6b65ba86bfb7a815
corelib/common/popup/js/evaluateAnalysis.js
@@ -22,44 +22,6 @@
    //初始化
    init()
    $('#list').click(function () {
        $('.evaluate-echarts').hide()
        $('.evaluate-table').show()
        $('.flood-analysis-pagination').show()
        $('.list').addClass('choose-button')
        $('.list').removeClass('unchoose-button')
        $('.echarts').addClass('unchoose-button')
        $('.echarts').removeClass('choose-button')
    })
    $('#echarts').click(function () {
        $('.evaluate-table').hide()
        $('.flood-analysis-pagination').hide()
        recharts_z()
        loadEcharts()
        $('.evaluate-echarts').show()
        $('.echarts').addClass('choose-button')
        $('.echarts').removeClass('unchoose-button')
        $('.list').addClass('unchoose-button')
        $('.list').removeClass('choose-button')
    })
    //淹没图弹窗事件
    $('#create-flood-image').click(function () {
        exportPicture()
    })
    //保存按钮点击事件
    $('#save-btn').click(function () {
        confirmPopup()
    })
    //导出按钮点击事件
    $('#export-img').click(function () {
        exportPicture()
    })
    //确认弹窗
    function confirmPopup() {
        const self = this
@@ -150,7 +112,8 @@
                }
            },
            legend: {
                left: 'left'
                left: 'left',
                width: "70%"
            },
            xAxis: [
                {
@@ -251,6 +214,46 @@
    //初始化
    function init() {
        $('#list').click(function () {
            $('.evaluate-echarts').hide()
            $('.evaluate-table').show()
            $('.flood-analysis-pagination').show()
            $('.list').addClass('choose-button')
            $('.list').removeClass('unchoose-button')
            $('.echarts').addClass('unchoose-button')
            $('.echarts').removeClass('choose-button')
        })
        $('#echarts').click(function () {
            $('.evaluate-table').hide()
            $('.flood-analysis-pagination').hide()
            recharts_z()
            loadEcharts()
            $('.evaluate-echarts').show()
            $('.echarts').addClass('choose-button')
            $('.echarts').removeClass('unchoose-button')
            $('.list').addClass('unchoose-button')
            $('.list').removeClass('choose-button')
        })
        //淹没图弹窗事件
        $('#create-flood-image').click(function () {
            exportPicture()
        })
        //保存按钮点击事件
        $('#save-btn').click(function () {
            confirmPopup()
        })
        //导出按钮点击事件
        $('#export-img').click(function () {
            exportPicture()
        })
        //图片展示
        $('#show-img').prop('src', 'image/floodAnalysisEvaluate-2.png')
        $('.list').addClass('choose-button')
@@ -315,7 +318,7 @@
        // $(".area").html(area + 'km²')
        // $(".money").html(money + '万元')
        $('.description').html("&nbsp&nbsp该站位于" + hd.riverway + ",靠近"+hd.stnm.trim()+"水文站,起始距为"+hd.gl_qdj+"m,河段长" + hd.river_length + "m,预计会造成受灾户数" + house + "户,受灾人口" + people + "人,受灾面积" + area + "km²,房屋价值" + money + "万元")
        $('.description').html("&nbsp&nbsp该站位于" + hd.riverway + ",靠近"+hd.stnm.trim()+"水文站,起始距为"+hd.gl_qdj+"m,河段长" + hd.river_length + "m,淹没面积" + house + "km²,淹没耕地面积" + people + "km²,影响" + area + "万人,淹没区GDP总计" + money + "亿元")
    }
    //加载分页
@@ -387,7 +390,7 @@
            point:data.point
        }
        $.ajax({
            url: 'http://192.168.0.207:82/blade-ycreal/inundationResult/save',
            url: 'http://localhost:82/blade-ycreal/inundationResult/save',
            type: 'post',
            dataType: 'json',
            jsonp: 'callback',