dssat_run_example.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "fc0b6178-b4ff-4025-a16b-c5704c54cb13",
   "metadata": {},
   "outputs": [],
   "source": [
    "from dssat_run import run_district"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "aeed084d-6b0a-4213-acf4-e78f76ad210a",
   "metadata": {},
   "outputs": [],
   "source": [
    "yield_results = {}"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "106c9f5d-287e-4dbe-b4f1-94ceb4261b12",
   "metadata": {},
   "source": [
    "# Ideal case (No stress)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "103165a3-faed-4b7c-b543-493ef726837d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 108 ms, sys: 31.9 ms, total: 140 ms\n",
      "Wall time: 2.21 s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "# Turn off Water and Nitrogen Switches\n",
    "sim_controls = {\n",
    "    \"WATER\": \"N\", \"NITRO\": \"N\"\n",
    "}\n",
    "df, overview = run_district(\"Chivi\", 2020, sim_controls=sim_controls)\n",
    "yield_results[\"No stress\"] = df"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "46a6d075-a6c7-4271-b5ec-717724d7d80a",
   "metadata": {},
   "source": [
    "# Only water Stress (no nitrogen stress)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "a11c2ff7-5252-46fe-986b-7edc08673410",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 109 ms, sys: 16.7 ms, total: 125 ms\n",
      "Wall time: 3.03 s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "sim_controls = {\n",
    "    \"WATER\": \"Y\", \"NITRO\": \"N\"\n",
    "}\n",
    "df, overview = run_district(\"Chivi\", 2020, sim_controls=sim_controls)\n",
    "yield_results[\"Only water stress\"] = df"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "964bcbd2-b392-4e00-8485-b3bed9b5449c",
   "metadata": {},
   "source": [
    "# Rainfed"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "id": "aaa94dca-086d-4b25-a36a-866066489516",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 109 ms, sys: 16.7 ms, total: 126 ms\n",
      "Wall time: 3.28 s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "sim_controls = {\n",
    "    \"WATER\": \"Y\", \"NITRO\": \"Y\"\n",
    "}\n",
    "df, overview = run_district(\"Chivi\", 2020, sim_controls=sim_controls)\n",
    "yield_results[\"Rainfed\"] = df"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2f667e92-9ee7-4b6d-965e-37c1a70675d8",
   "metadata": {},
   "source": [
    "# Automatic irrigation"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "afe7ce58-8cb1-4e83-a633-014eaad52f85",
   "metadata": {},
   "source": [
    "## refill from 25%"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "2a2abea7-3560-4272-b2d2-50e354f2bef6",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 97.1 ms, sys: 36.7 ms, total: 134 ms\n",
      "Wall time: 3.35 s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "sim_controls = {\n",
    "    \"WATER\": \"Y\", \"NITRO\": \"Y\",\n",
    "    \"IRRIG\": \"A\", \"IMDEP\": 30, \"ITHRL\": 25, \"ITHRU\": 100\n",
    "}\n",
    "df, overview = run_district(\"Chivi\", 2020, sim_controls=sim_controls)\n",
    "yield_results[\"Irrigation (25%)\"] = df"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9e4f3932-6a9b-4a8d-9674-89ac65653fc2",
   "metadata": {},
   "source": [
    "## Refill from 50%"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "5d7428de-b13c-4233-90d8-f6cfbc1afbf0",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 113 ms, sys: 19.3 ms, total: 132 ms\n",
      "Wall time: 3.33 s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "sim_controls = {\n",
    "    \"WATER\": \"Y\", \"NITRO\": \"Y\",\n",
    "    \"IRRIG\": \"A\", \"IMDEP\": 30, \"ITHRL\": 50, \"ITHRU\": 100\n",
    "}\n",
    "df, overview = run_district(\"Chivi\", 2020, sim_controls=sim_controls)\n",
    "yield_results[\"Irrigation (50%)\"] = df"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "75929782-90ea-4792-8c89-29906a6984d5",
   "metadata": {},
   "source": [
    "## Refill from 75%"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "b2646449-ba72-424d-89ae-5f0dceb57117",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 110 ms, sys: 24.4 ms, total: 134 ms\n",
      "Wall time: 3.29 s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "sim_controls = {\n",
    "    \"WATER\": \"Y\", \"NITRO\": \"Y\",\n",
    "    \"IRRIG\": \"A\", \"IMDEP\": 30, \"ITHRL\": 75, \"ITHRU\": 100\n",
    "}\n",
    "df, overview = run_district(\"Chivi\", 2020, sim_controls=sim_controls)\n",
    "yield_results[\"Irrigation (75%)\"] = df"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "94f31ed8-38fe-4593-b12a-ea135eb9f51f",
   "metadata": {},
   "source": [
    "# Apply Nitrogen (No irrigation)\n",
    "\n",
    "Under Zimbabwean conditions Maize generally requires 70 kg/ha [(FAO)](https://www.fao.org/4/a0395e/a0395e0a.htm)\n",
    "## 25% recommended"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "a6865569-4f5e-4e57-aef6-eb667ac4cd48",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 95.5 ms, sys: 28.3 ms, total: 124 ms\n",
      "Wall time: 3.37 s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "n_rate_base = 70\n",
    "sim_controls = {\n",
    "    \"WATER\": \"Y\", \"NITRO\": \"Y\",\n",
    "}\n",
    "df, overview = run_district(\"Chivi\", 2020, n_rate_base*.25, sim_controls=sim_controls)\n",
    "yield_results[\"Fertilizer (25%)\"] = df"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "77bcf675-d4dc-48ea-bcfe-fb060c225367",
   "metadata": {},
   "source": [
    "## 50% recommended"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "id": "90894890-e4c8-4fa8-8074-462343e6f74d",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 93.8 ms, sys: 35.6 ms, total: 129 ms\n",
      "Wall time: 3.35 s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "sim_controls = {\n",
    "    \"WATER\": \"Y\", \"NITRO\": \"Y\",\n",
    "}\n",
    "df, overview = run_district(\"Chivi\", 2020, n_rate_base*.50, sim_controls=sim_controls)\n",
    "yield_results[\"Fertilizer (50%)\"] = df"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e884f57d-0782-4271-8080-85a9e11fcf94",
   "metadata": {},
   "source": [
    "## 100% recommended"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "f65e96d7-6303-49fe-9743-b2dbb3adef8f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CPU times: user 77.6 ms, sys: 32.6 ms, total: 110 ms\n",
      "Wall time: 3.37 s\n"
     ]
    }
   ],
   "source": [
    "%%time\n",
    "sim_controls = {\n",
    "    \"WATER\": \"Y\", \"NITRO\": \"Y\",\n",
    "}\n",
    "df, overview = run_district(\"Chivi\", 2020, n_rate_base*1., sim_controls=sim_controls)\n",
    "yield_results[\"Fertilizer (100%)\"] = df"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c5afdccb-b175-42db-8767-95b4278b698e",
   "metadata": {},
   "source": [
    "# Plot results"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "id": "24ebd732-5113-4924-9eb1-66a33e03244c",
   "metadata": {},
   "outputs": [],
   "source": [
    "from matplotlib import pyplot as plt\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "id": "89e00d24-8bfb-43b4-88cd-98beae3c91dc",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "''"
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 500x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, ax = plt.subplots(1, 1, figsize=(5, 6))\n",
    "for n, (case, df) in enumerate(yield_results.items()):\n",
    "    ax.boxplot(\n",
    "        x=df.HARWT.astype(int),\n",
    "        vert=False, positions=[n], widths=.5\n",
    "    )\n",
    "ax.set_yticklabels(yield_results.keys())\n",
    "ax.set_xticks(np.arange(0, 4001, 1000), minor=False)\n",
    "ax.grid(linestyle='-', which=\"major\", axis=\"x\")\n",
    "ax.set_xticks(np.arange(0, 4001, 200), minor=True)\n",
    "ax.grid(linestyle=':', which=\"minor\", axis=\"x\")\n",
    "ax.set_xlabel(\"Maize yield (kg/ha)\")\n",
    "ax.set_title(\"2020/2021 maize yield for different\\nscenarios in the Chivi district\")\n",
    ";"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "80571f55-4107-4af0-b0c5-344adb16980c",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}