[{"data":1,"prerenderedAt":34},["ShallowReactive",2],{"dataset-073cd24f-58b0-4301-b6df-3b09607dfd46":3},{"entry":4,"body":33},{"id":5,"slug":6,"title":7,"organization":8,"organization_slug":9,"tags_he":10,"primary_resource_id":18,"formats":19,"metadata_modified":21,"license":22,"record_count":23,"resources":24,"last_analyzed_at":28,"version":29,"summary_he":30,"dataset_kind":31,"related_ids":32},"073cd24f-58b0-4301-b6df-3b09607dfd46","mayynvt-npchym-shntyym","מעיינות - נפחים שנתיים","הרשות הממשלתית למים ולביוב","water_authority",[11,12,13,14,15,16,17],"spring","volume","water","מים","מעיין","נפח","רשות המים","09e057c4-d7dc-485a-bfcf-aeed674f7a36",[20],"CSV","2026-05-01T08:44:49.719014Z","אחר (פתוח)",25289,[25],{"url":26,"format":20,"name":7,"size_bytes":27},"https:\u002F\u002Fdata.gov.il\u002Fdataset\u002F073cd24f-58b0-4301-b6df-3b09607dfd46\u002Fresource\u002F09e057c4-d7dc-485a-bfcf-aeed674f7a36\u002Fdownload\u002F09e057c4-d7dc-485a-bfcf-aeed674f7a36.csv",1020150,"2026-05-04T21:12:17.546780Z",1,"נפחים שנתיים של שפיעת 381 מעיינות בישראל, כפי שנמדדו על ידי השירות ההידרולוגי של רשות המים — מ-1937\u002F1938 עד 2023\u002F2024.","timeseries",[],"\u003C!-- מעיינות - נפחים שנתיים -->\n\u003Ch1 class=\"text-2xl font-bold text-ink-deep mb-2\">מעיינות — נפחים שנתיים\u003C\u002Fh1>\n\u003Cdiv class=\"flex flex-wrap gap-2 mb-6\">\n  \u003Cspan class=\"tag-chip\">מים\u003C\u002Fspan>\n  \u003Cspan class=\"tag-chip\">מעיינות\u003C\u002Fspan>\n  \u003Cspan class=\"tag-chip\">נפחים שנתיים\u003C\u002Fspan>\n  \u003Cspan class=\"tag-chip\">שירות הידרולוגי\u003C\u002Fspan>\n  \u003Cspan class=\"tag-chip\">רשות המים\u003C\u002Fspan>\n\u003C\u002Fdiv>\n\n\u003C!-- Summary -->\n\u003Csection class=\"card p-5 mb-6\">\n  \u003Cdiv class=\"flex gap-3 items-start\">\n    \u003Cimg src=\"\u002Ficons\u002Finfo.svg\" alt=\"\" class=\"w-5 h-5 text-brand mt-0.5 shrink-0\" \u002F>\n    \u003Cdiv>\n      \u003Ch2 class=\"font-semibold text-ink-deep mb-3\">על המאגר\u003C\u002Fh2>\n      \u003Cp class=\"leading-relaxed text-ink\">\n        מאגר זה מרכז את הנפחים השנתיים של שפיעת מעיינות ברחבי ישראל, כפי שנמדדו על ידי השירות ההידרולוגי של רשות המים.\n        הנתונים מכסים 381 מעיינות ייחודיים לאורך תקופה שמתחילה משנת 1937\u002F1938, ומאפשרים ניתוח מגמות ארוכות טווח בספיקת מעיינות — מדד מרכזי למאזן המים התת-קרקעיים בישראל.\n        הנפחים מוצגים ביחידות של אלפי מטר מעוקב (אלמ\"ק); בתרשימים הוסבו למיליוני מ\"ק (מ\"מ\"ק) לנוחות הקריאה.\n      \u003C\u002Fp>\n    \u003C\u002Fdiv>\n  \u003C\u002Fdiv>\n\u003C\u002Fsection>\n\n\u003C!-- KPI Cards -->\n\u003Cdiv class=\"grid grid-cols-2 md:grid-cols-4 gap-4 mb-6\">\n  \u003Cdiv class=\"card p-5 text-center\">\n    \u003Cdiv class=\"text-3xl font-bold text-brand mb-1\">381\u003C\u002Fdiv>\n    \u003Cdiv class=\"text-sm text-subtle\">מעיינות נמדדו\u003C\u002Fdiv>\n  \u003C\u002Fdiv>\n  \u003Cdiv class=\"card p-5 text-center\">\n    \u003Cdiv class=\"text-3xl font-bold text-brand mb-1\">64\u003C\u002Fdiv>\n    \u003Cdiv class=\"text-sm text-subtle\">שנות מדידה רציפות\u003C\u002Fdiv>\n    \u003Cdiv class=\"text-xs text-subtle\">(1960\u002F61 – 2023\u002F24)\u003C\u002Fdiv>\n  \u003C\u002Fdiv>\n  \u003Cdiv class=\"card p-5 text-center\">\n    \u003Cdiv class=\"text-3xl font-bold text-brand mb-1\">384\u003C\u002Fdiv>\n    \u003Cdiv class=\"text-sm text-subtle\">מ\"מ\"ק ממוצע לשנה\u003C\u002Fdiv>\n    \u003Cdiv class=\"text-xs text-subtle\">(1960–2021)\u003C\u002Fdiv>\n  \u003C\u002Fdiv>\n  \u003Cdiv class=\"card p-5 text-center\">\n    \u003Cdiv class=\"text-3xl font-bold text-ok mb-1\">629\u003C\u002Fdiv>\n    \u003Cdiv class=\"text-sm text-subtle\">מ\"מ\"ק שיא\u003C\u002Fdiv>\n    \u003Cdiv class=\"text-xs text-subtle\">(1991\u002F1992)\u003C\u002Fdiv>\n  \u003C\u002Fdiv>\n\u003C\u002Fdiv>\n\n\u003C!-- Insights -->\n\u003Csection class=\"card p-5 mb-6\">\n  \u003Ch2 class=\"font-semibold text-ink-deep mb-3\">ממצאים עיקריים\u003C\u002Fh2>\n  \u003Cul class=\"space-y-2 text-ink leading-relaxed list-disc list-inside\">\n    \u003Cli>שנת השיא הרב-שנתית היא \u003Cstrong>1991\u002F1992\u003C\u002Fstrong> עם נפח כולל של \u003Cstrong>629 מ\"מ\"ק\u003C\u002Fstrong> — כ-64% מעל הממוצע ארוך הטווח של 384 מ\"מ\"ק.\u003C\u002Fli>\n    \u003Cli>מעיין \u003Cstrong>בניאס\u003C\u002Fstrong> הוא בעל הנפח המצטבר הגבוה ביותר מבין כלל המעיינות שנמדדו: \u003Cstrong>3,482 מ\"מ\"ק\u003C\u002Fstrong> ב-54 שנות מדידה — ממוצע של כ-64 מ\"מ\"ק לשנה.\u003C\u002Fli>\n    \u003Cli>מעיינות \u003Cstrong>נור, עמל ומגדל\u003C\u002Fstrong> (בעמק בית שאן) מציגים ספיקה יציבה יחסית של 12–23 מ\"מ\"ק לשנה לאורך כל תקופת המדידה.\u003C\u002Fli>\n    \u003Cli>נתוני \u003Cstrong>2022\u002F2023 ו-2023\u002F2024\u003C\u002Fstrong> חלקיים (47 ו-56 מעיינות בלבד) ולכן הנפחים המוצגים עבורם אינם משקפים את הסך הכולל.\u003C\u002Fli>\n    \u003Cli>מתוך 13,075 רשומות תקינות: \u003Cstrong>66%\u003C\u002Fstrong> מסווגות כנתון מחושב, \u003Cstrong>34%\u003C\u002Fstrong> כהערכה, ו-42 רשומות נלקחו מרב-שנתון.\u003C\u002Fli>\n  \u003C\u002Ful>\n\u003C\u002Fsection>\n\n\u003C!-- Annual Trend Chart -->\n\u003Csection class=\"card p-5 mb-6\">\n  \u003Ch2 class=\"font-semibold text-ink-deep mb-1\">סך נפח שפיעה שנתי — כלל המעיינות (1960–2024)\u003C\u002Fh2>\n  \u003Cp class=\"text-sm text-subtle mb-3\">נפח מצטבר של כל המעיינות המדווחים לכל שנה הידרולוגית, ביחידות מ\"מ\"ק. הנתונים לשנים 2022\u002F2023 ו-2023\u002F2024 חלקיים.\u003C\u002Fp>\n  \u003Cdiv id=\"chart-annual\" class=\"h-64 md:h-80\">\u003C\u002Fdiv>\n\u003C\u002Fsection>\n\n\u003C!-- Top 10 + Data Types row -->\n\u003Cdiv class=\"grid grid-cols-1 md:grid-cols-2 gap-5 mb-6\">\n  \u003Csection class=\"card p-5\">\n    \u003Ch2 class=\"font-semibold text-ink-deep mb-1\">10 המעיינות בעלי הנפח המצטבר הגבוה ביותר\u003C\u002Fh2>\n    \u003Cp class=\"text-sm text-subtle mb-3\">סך נפח שפיעה מצטבר לאורך כל שנות המדידה, ב-מ\"מ\"ק.\u003C\u002Fp>\n    \u003Cdiv id=\"chart-top10\" class=\"h-72 md:h-80\">\u003C\u002Fdiv>\n  \u003C\u002Fsection>\n  \u003Csection class=\"card p-5\">\n    \u003Ch2 class=\"font-semibold text-ink-deep mb-1\">התפלגות סוג הנתון\u003C\u002Fh2>\n    \u003Cp class=\"text-sm text-subtle mb-3\">מתוך 13,075 רשומות תקינות.\u003C\u002Fp>\n    \u003Cdiv id=\"chart-types\" class=\"h-72 md:h-80\">\u003C\u002Fdiv>\n  \u003C\u002Fsection>\n\u003C\u002Fdiv>\n\n\u003C!-- Top 5 Springs Time Series -->\n\u003Csection class=\"card p-5 mb-6\">\n  \u003Ch2 class=\"font-semibold text-ink-deep mb-1\">5 המעיינות המובילים — ספיקה שנתית לאורך זמן (1960–2023)\u003C\u002Fh2>\n  \u003Cp class=\"text-sm text-subtle mb-3\">נפח שנתי ב-מ\"מ\"ק לכל אחד מחמשת המעיינות עם הנפח המצטבר הגבוה ביותר. חסרים בנתונים מוצגים כהפסקה בקו.\u003C\u002Fp>\n  \u003Cdiv id=\"chart-ts\" class=\"h-72 md:h-96\">\u003C\u002Fdiv>\n\u003C\u002Fsection>\n\n\u003C!-- Data Explorer -->\n\u003Csection class=\"card p-5 mb-6\">\n  \u003Cdiv class=\"flex flex-wrap items-center justify-between gap-3 mb-3\">\n    \u003Ch2 class=\"font-semibold text-ink-deep\">עיון בנתוני המעיינות\u003C\u002Fh2>\n    \u003Cinput id=\"explorer-search\" class=\"gov-explorer-search\"\n           type=\"search\" placeholder=\"חיפוש לפי שם מעיין...\"\n           aria-label=\"חיפוש בטבלה\" \u002F>\n  \u003C\u002Fdiv>\n  \u003Cdiv id=\"explorer\">\u003C\u002Fdiv>\n\u003C\u002Fsection>\n\n\u003C!-- Notes -->\n\u003Csection class=\"card p-5 mb-6\">\n  \u003Ch2 class=\"font-semibold text-ink-deep mb-3\">הערות\u003C\u002Fh2>\n  \u003Cp class=\"leading-relaxed text-ink\">נפחים שנתיים של שפיעת מעיינות הנמדדים על ידי השירות ההידרולוגי.\u003C\u002Fp>\n\u003C\u002Fsection>\n\n\u003Cscript>\n  const GOVIL_PALETTE = [\n    '#0068f5','#0b3668','#6c9fd8','#0053c4','#0c3058',\n    '#3d70b0','#b7d2f7','#2658a0','#dbe8fb','#0c1f3d'\n  ];\n  const baseECharts = {\n    color: GOVIL_PALETTE,\n    textStyle: { fontFamily: 'Rubik, sans-serif', color: '#0c3058' },\n    tooltip: {\n      textStyle: { fontFamily: 'Rubik', color: '#0c3058' },\n      backgroundColor: '#fff',\n      borderColor: '#c3cfe7',\n      extraCssText: 'direction: rtl; box-shadow: 0 6px 24px -8px rgba(0,104,245,.18);'\n    },\n    grid: { left: 48, right: 64, top: 40, bottom: 48, containLabel: true },\n  };\n\n  \u002F* ── 1. Annual trend bar chart ── *\u002F\n  (function () {\n    var annualData = [[1960,\"1960\u002F1961\",230.3],[1961,\"1961\u002F1962\",292.6],[1962,\"1962\u002F1963\",264.1],[1963,\"1963\u002F1964\",286.0],[1964,\"1964\u002F1965\",307.1],[1965,\"1965\u002F1966\",242.3],[1966,\"1966\u002F1967\",251.7],[1967,\"1967\u002F1968\",314.9],[1968,\"1968\u002F1969\",628.0],[1969,\"1969\u002F1970\",398.5],[1970,\"1970\u002F1971\",379.1],[1971,\"1971\u002F1972\",432.8],[1972,\"1972\u002F1973\",322.1],[1973,\"1973\u002F1974\",403.2],[1974,\"1974\u002F1975\",404.5],[1975,\"1975\u002F1976\",448.9],[1976,\"1976\u002F1977\",468.4],[1977,\"1977\u002F1978\",463.7],[1978,\"1978\u002F1979\",325.3],[1979,\"1979\u002F1980\",506.4],[1980,\"1980\u002F1981\",497.5],[1981,\"1981\u002F1982\",393.1],[1982,\"1982\u002F1983\",475.6],[1983,\"1983\u002F1984\",435.6],[1984,\"1984\u002F1985\",381.5],[1985,\"1985\u002F1986\",334.3],[1986,\"1986\u002F1987\",458.5],[1987,\"1987\u002F1988\",490.7],[1988,\"1988\u002F1989\",360.7],[1989,\"1989\u002F1990\",299.4],[1990,\"1990\u002F1991\",279.9],[1991,\"1991\u002F1992\",629.4],[1992,\"1992\u002F1993\",551.2],[1993,\"1993\u002F1994\",397.6],[1994,\"1994\u002F1995\",452.3],[1995,\"1995\u002F1996\",398.7],[1996,\"1996\u002F1997\",392.0],[1997,\"1997\u002F1998\",445.7],[1998,\"1998\u002F1999\",295.6],[1999,\"1999\u002F2000\",295.3],[2000,\"2000\u002F2001\",224.0],[2001,\"2001\u002F2002\",286.0],[2002,\"2002\u002F2003\",399.9],[2003,\"2003\u002F2004\",473.8],[2004,\"2004\u002F2005\",424.5],[2005,\"2005\u002F2006\",439.1],[2006,\"2006\u002F2007\",420.0],[2007,\"2007\u002F2008\",358.5],[2008,\"2008\u002F2009\",353.8],[2009,\"2009\u002F2010\",398.1],[2010,\"2010\u002F2011\",389.8],[2011,\"2011\u002F2012\",443.4],[2012,\"2012\u002F2013\",471.5],[2013,\"2013\u002F2014\",323.5],[2014,\"2014\u002F2015\",380.0],[2015,\"2015\u002F2016\",329.1],[2016,\"2016\u002F2017\",314.1],[2017,\"2017\u002F2018\",312.5],[2018,\"2018\u002F2019\",492.5],[2019,\"2019\u002F2020\",519.9],[2020,\"2020\u002F2021\",377.7],[2021,\"2021\u002F2022\",427.6],[2022,\"2022\u002F2023\",178.5],[2023,\"2023\u002F2024\",222.3]];\n    var xLabels = annualData.map(function(d){ return String(d[0]); });\n    var barData = annualData.map(function(d, i) {\n      var partial = (i >= annualData.length - 2);\n      return {\n        value: d[2],\n        label: d[1],\n        itemStyle: partial\n          ? { color: '#6c9fd8', opacity: 0.7 }\n          : { color: '#0068f5' }\n      };\n    });\n    var domA = document.getElementById('chart-annual');\n    var chartA = echarts.init(domA);\n    chartA.setOption(Object.assign({}, baseECharts, {\n      tooltip: Object.assign({}, baseECharts.tooltip, {\n        trigger: 'axis',\n        formatter: function(p) {\n          var d = p[0];\n          return \"\u003Cstrong>\" + annualData[d.dataIndex][1] + \"\u003C\u002Fstrong>\u003Cbr\u002F>\" +\n                 \"נפח: \" + d.value + \" מ\\\"מ\\\"ק\";\n        }\n      }),\n      xAxis: {\n        type: 'category',\n        data: xLabels,\n        axisLabel: {\n          rotate: 45,\n          fontFamily: 'Rubik',\n          color: '#6c757d',\n          fontSize: 11,\n          interval: 4\n        },\n        axisLine: { lineStyle: { color: '#c3cfe7' } }\n      },\n      yAxis: {\n        type: 'value',\n        name: \"מ\\\"מ\\\"ק\",\n        nameTextStyle: { fontFamily: 'Rubik', color: '#6c757d', fontSize: 11 },\n        axisLabel: { fontFamily: 'Rubik', color: '#6c757d', fontSize: 11 },\n        splitLine: { lineStyle: { color: '#f0f4fa' } }\n      },\n      series: [{\n        type: 'bar',\n        data: barData,\n        barMaxWidth: 16,\n        emphasis: { itemStyle: { color: '#0053c4' } },\n        markLine: {\n          silent: true,\n          lineStyle: { color: '#0053c4', type: 'dashed', width: 1.5 },\n          label: { formatter: \"ממוצע\", fontFamily: \"Rubik\", color: \"#0053c4\", fontSize: 11 },\n          data: [{ type: 'average' }]\n        }\n      }]\n    }));\n    window.addEventListener('resize', function(){ chartA.resize(); });\n  })();\n\n  \u002F* ── 2. Top 10 springs horizontal bar ── *\u002F\n  (function () {\n    var top10 = [[\"בניאס\",3482.3],[\"נעמן\",1575.2],[\"נור\",1438.2],[\"עמל\",1433.8],[\"מגדל\",1391.9],[\"עינות צוקים סיכום\",1123.3],[\"חנניה מליחים\",1089.1],[\"שוקק\",950.2],[\"דן(לשם)\",880.1],[\"מודע\",674.1]];\n    var names = top10.map(function(d){ return d[0]; }).reverse();\n    var vals  = top10.map(function(d){ return d[1]; }).reverse();\n    var domB = document.getElementById('chart-top10');\n    var chartB = echarts.init(domB);\n    chartB.setOption(Object.assign({}, baseECharts, {\n      grid: { left: 20, right: 20, top: 10, bottom: 10, containLabel: true },\n      tooltip: Object.assign({}, baseECharts.tooltip, {\n        trigger: 'axis',\n        formatter: function(p) {\n          return \"\u003Cstrong>\" + p[0].name + \"\u003C\u002Fstrong>\u003Cbr\u002F>\" + p[0].value + \" מ\\\"מ\\\"ק\";\n        }\n      }),\n      xAxis: {\n        type: 'value',\n        axisLabel: { fontFamily: 'Rubik', color: '#6c757d', fontSize: 11 },\n        splitLine: { lineStyle: { color: '#f0f4fa' } }\n      },\n      yAxis: {\n        type: 'category',\n        data: names,\n        axisLabel: { fontFamily: 'Rubik', color: '#0c3058', fontSize: 12 }\n      },\n      series: [{\n        type: 'bar',\n        data: vals,\n        barMaxWidth: 24,\n        itemStyle: { color: '#0068f5', borderRadius: [0, 4, 4, 0] },\n        emphasis: { itemStyle: { color: '#0053c4' } },\n        label: {\n          show: true,\n          position: 'right',\n          fontFamily: 'Rubik',\n          fontSize: 11,\n          color: '#6c757d',\n          formatter: function(p){ return p.value.toLocaleString(); }\n        }\n      }]\n    }));\n    window.addEventListener('resize', function(){ chartB.resize(); });\n  })();\n\n  \u002F* ── 3. Data type donut ── *\u002F\n  (function () {\n    var domC = document.getElementById('chart-types');\n    var chartC = echarts.init(domC);\n    chartC.setOption(Object.assign({}, baseECharts, {\n      tooltip: Object.assign({}, baseECharts.tooltip, {\n        trigger: 'item',\n        formatter: function(p) {\n          return p.name + \"\u003Cbr\u002F>\" + p.value.toLocaleString() + \" רשומות (\" + p.percent + \"%)\";\n        }\n      }),\n      legend: {\n        orient: 'vertical',\n        right: '5%',\n        top: 'center',\n        textStyle: { fontFamily: 'Rubik', color: '#0c3058', fontSize: 13 }\n      },\n      series: [{\n        type: 'pie',\n        radius: ['38%', '65%'],\n        center: ['38%', '50%'],\n        avoidLabelOverlap: false,\n        label: { show: false },\n        emphasis: {\n          label: { show: true, fontSize: 14, fontFamily: 'Rubik', fontWeight: 'bold' }\n        },\n        data: [\n          { value: 8589, name: \"מחושב\",                   itemStyle: { color: '#0068f5' } },\n          { value: 4444, name: \"הערכה\",                   itemStyle: { color: '#6c9fd8' } },\n          { value: 42,   name: \"נלקח מרב-שנתון שנתון\",   itemStyle: { color: '#b7d2f7' } }\n        ]\n      }]\n    }));\n    window.addEventListener('resize', function(){ chartC.resize(); });\n  })();\n\n  \u002F* ── 4. Top 5 springs multi-line time series ── *\u002F\n  (function () {\n    var tsYears = [1960,1961,1962,1963,1964,1965,1966,1967,1968,1969,1970,1971,1972,1973,1974,1975,1976,1977,1978,1979,1980,1981,1982,1983,1984,1985,1986,1987,1988,1989,1990,1991,1992,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017,2018,2019,2020,2021,2022,2023];\n    var tsSeries = {\"בניאס\":[null,null,null,null,null,null,null,null,133.37,null,null,62.69,38.77,67.79,65.65,75.65,84.29,80.57,43.48,85.65,97.04,58.43,73.04,65.12,52.68,46.24,98.38,84.96,45.8,36.81,46.32,108.7,83.78,51.9,75.14,64.47,58.87,75.98,35.68,40.68,35.36,60.73,99.38,75.66,71.1,57.32,64.3,35.6,54.08,73.51,71.77,80.73,91.21,19.24,53.99,37.54,38.42,32.16,75.93,73.56,54.53,70.54,47.1,70.62],\"נעמן\":[2.32,9.14,5.95,11.23,18.26,8.04,13.88,11.06,43.28,30.42,23.03,20.38,3.65,5.6,5.32,2.04,3.72,4.41,0.52,6.36,11.32,3.57,9.23,6.52,3.67,0.9,6.74,22.18,14.5,4.28,3.72,53.2,46.85,21.95,24.87,20.19,13.76,17.13,5.85,5.03,0.33,4.43,22.5,39.02,28.8,14.9,5.26,0.0,0.0,0.1,0.0,3.0,13.0,7.0,5.3,0.0,0.0,2.0,14.0,25.77,23.48,18.21,11.19,22.46],\"נור\":[22.73,23.25,21.93,22.52,20.15,17.5,19.54,18.81,21.31,20.9,18.32,19.03,16.88,18.14,18.51,17.5,18.09,18.69,16.65,19.23,20.39,19.2,21.58,20.62,20.5,17.37,17.75,18.77,16.46,15.25,15.1,22.02,20.79,18.83,20.05,18.9,18.94,18.17,17.24,14.16,14.91,16.68,16.33,18.86,18.61,17.3,15.07,15.31,13.45,15.23,16.39,16.69,15.97,13.57,13.12,11.34,12.09,12.38,17.37,17.45,16.38,16.52,15.71,16.53],\"עמל\":[21.5,20.5,21.9,21.8,21.4,22.4,null,23.2,22.61,22.22,22.5,21.42,20.67,20.14,19.31,18.4,19.0,16.8,16.48,18.06,18.53,17.56,18.67,18.21,17.2,18.44,18.41,18.15,18.55,21.27,18.34,20.41,21.05,18.39,18.64,18.47,18.79,18.63,16.17,15.86,16.3,16.95,18.99,19.13,18.5,18.37,17.21,14.85,14.43,15.8,15.51,15.53,16.29,15.53,16.32,16.61,14.67,14.79,16.35,17.96,null,18.79,null,null],\"מגדל\":[19.0,19.19,19.17,18.74,18.95,19.22,null,19.9,19.56,18.49,17.86,18.04,17.87,18.64,17.4,17.4,17.37,16.2,16.55,17.32,17.41,17.04,18.28,17.18,16.46,17.02,16.46,18.02,16.77,16.97,17.61,21.49,18.86,17.87,17.89,18.22,18.6,17.85,17.66,17.53,17.86,17.24,17.59,17.78,17.62,17.92,19.11,18.58,16.87,18.64,16.75,17.54,17.59,15.44,14.98,16.36,16.65,16.15,18.33,18.87,null,null,null,null]};\n    var springNames = Object.keys(tsSeries);\n    var xLabels = tsYears.map(String);\n    var colors = ['#0068f5','#0b3668','#6c9fd8','#3d70b0','#b7d2f7'];\n    var seriesList = springNames.map(function(name, i) {\n      return {\n        name: name,\n        type: 'line',\n        data: tsSeries[name],\n        connectNulls: false,\n        smooth: false,\n        symbol: 'none',\n        lineStyle: { width: 2, color: colors[i] },\n        itemStyle: { color: colors[i] }\n      };\n    });\n    var domD = document.getElementById('chart-ts');\n    var chartD = echarts.init(domD);\n    chartD.setOption(Object.assign({}, baseECharts, {\n      tooltip: Object.assign({}, baseECharts.tooltip, {\n        trigger: 'axis',\n        formatter: function(params) {\n          var yr = tsYears[params[0].dataIndex];\n          var lines = \"\u003Cstrong>\" + yr + \"\u002F\" + (yr + 1) + \"\u003C\u002Fstrong>\u003Cbr\u002F>\";\n          params.forEach(function(p) {\n            if (p.value != null) {\n              lines += \"\u003Cspan style='display:inline-block;width:10px;height:10px;background:\" + p.color + \";border-radius:50%;margin-left:4px'>\u003C\u002Fspan>\" +\n                       p.seriesName + \": \" + p.value + \" מ\\\"מ\\\"ק\u003Cbr\u002F>\";\n            }\n          });\n          return lines;\n        }\n      }),\n      legend: {\n        data: springNames,\n        bottom: 0,\n        textStyle: { fontFamily: 'Rubik', color: '#0c3058', fontSize: 12 }\n      },\n      xAxis: {\n        type: 'category',\n        data: xLabels,\n        axisLabel: {\n          fontFamily: 'Rubik',\n          color: '#6c757d',\n          fontSize: 11,\n          interval: 4,\n          rotate: 30\n        },\n        axisLine: { lineStyle: { color: '#c3cfe7' } }\n      },\n      yAxis: {\n        type: 'value',\n        name: \"מ\\\"מ\\\"ק\",\n        nameTextStyle: { fontFamily: 'Rubik', color: '#6c757d', fontSize: 11 },\n        axisLabel: { fontFamily: 'Rubik', color: '#6c757d', fontSize: 11 },\n        splitLine: { lineStyle: { color: '#f0f4fa' } }\n      },\n      series: seriesList,\n      grid: { left: 48, right: 20, top: 40, bottom: 60, containLabel: true }\n    }));\n    window.addEventListener('resize', function(){ chartD.resize(); });\n  })();\n\n  \u002F* ── 5. GovExplorer ── *\u002F\n  GovExplorer.create({\n    container:   '#explorer',\n    searchInput: '#explorer-search',\n    resourceId:  '09e057c4-d7dc-485a-bfcf-aeed674f7a36',\n    fields:      [\"\\u05de\\u05e1\\u05e4\\u05e8 \\u05d6\\u05d9\\u05d4\\u05d5\\u05d9\", \"\\u05e9\\u05dd \\u05e2\\u05d1\\u05e8\\u05d9\\u05ea\", \"\\u05e9\\u05e0\\u05d4 \\u05d4\\u05d9\\u05d3\\u05e8\\u05d5\\u05dc\\u05d5\\u05d2\\u05d9\\u05ea\", \"\\u05e0\\u05e4\\u05d7 \\u05e9\\u05e0\\u05ea\\u05d9 (\\u05d0\\u05dc\\u05de''\\u05e7)\", \"\\u05e1\\u05d5\\u05d2 \\u05e0\\u05ea\\u05d5\\u05df\"],\n    headers:     [\"\\u05de\\u05e1\\u05e4\\u05e8 \\u05d6\\u05d9\\u05d4\\u05d5\\u05d9\", \"\\u05e9\\u05dd \\u05de\\u05e2\\u05d9\\u05d9\\u05df\", \"\\u05e9\\u05e0\\u05d4 \\u05d4\\u05d9\\u05d3\\u05e8\\u05d5\\u05dc\\u05d5\\u05d2\\u05d9\\u05ea\", \"\\u05e0\\u05e4\\u05d7 (\\u05d0\\u05dc\\u05de''\\u05e7)\", \"\\u05e1\\u05d5\\u05d2 \\u05e0\\u05ea\\u05d5\\u05df\"],\n    searchFields:[\"\\u05e9\\u05dd \\u05e2\\u05d1\\u05e8\\u05d9\\u05ea\", \"\\u05de\\u05e1\\u05e4\\u05e8 \\u05d6\\u05d9\\u05d4\\u05d5\\u05d9\"],\n    pageSize:    50,\n    sort:        '_id asc',\n    renderRow: function(r) {\n      var status = r[\"\\u05e1\\u05d5\\u05d2 \\u05e0\\u05ea\\u05d5\\u05df\"];\n      var badgeType = status === \"\\u05de\\u05d7\\u05d5\\u05e9\\u05d1\" ? 'ok' :\n                      status === \"\\u05d4\\u05e2\\u05e8\\u05db\\u05d4\"  ? 'warn' : 'mut';\n      return [\n        { text: String(r[\"\\u05de\\u05e1\\u05e4\\u05e8 \\u05d6\\u05d9\\u05d4\\u05d5\\u05d9\"] || ''), dir: 'ltr' },\n        { text: r[\"\\u05e9\\u05dd \\u05e2\\u05d1\\u05e8\\u05d9\\u05ea\"] || '' },\n        { text: r[\"\\u05e9\\u05e0\\u05d4 \\u05d4\\u05d9\\u05d3\\u05e8\\u05d5\\u05dc\\u05d5\\u05d2\\u05d9\\u05ea\"] || '', dir: 'ltr', align: 'center' },\n        { text: r[\"\\u05e0\\u05e4\\u05d7 \\u05e9\\u05e0\\u05ea\\u05d9 (\\u05d0\\u05dc\\u05de''\\u05e7)\"] != null\n                ? String(r[\"\\u05e0\\u05e4\\u05d7 \\u05e9\\u05e0\\u05ea\\u05d9 (\\u05d0\\u05dc\\u05de''\\u05e7)\"]) : '' },\n        { text: status || '', badge: badgeType }\n      ];\n    }\n  });\n\u003C\u002Fscript>\n",1778130669533]