# Solar farm site risk check, Arizona

**Use case:** 

Screen solar land in Buckeye, Arizona: solar yield, heat, drought, flood and ecology risk, with A-F grades and a red/yellow/green verdict.

## Input

```json
{
  "locations": [
    {
      "id": "buckeye-az",
      "name": "Solar land, Buckeye AZ",
      "latitude": 33.37,
      "longitude": -112.58
    }
  ],
  "useCase": "solar",
  "radiusMeters": 1500,
  "generateReports": true,
  "climateYears": 10,
  "floodHistoryYears": 20,
  "solarSystemKwp": 500,
  "performanceRatio": "0.78",
  "tiltGainFactor": "1.0",
  "electricityPriceUsdPerKwh": "0.12",
  "solarCapexUsdPerWp": "0.90",
  "opexPercentOfCapex": "1.5",
  "discountRatePercent": "7",
  "degradationPercentPerYear": "0.5",
  "lifetimeYears": 25,
  "gridEmissionFactorKgPerKwh": "0.40",
  "brandColor": "#0b5cab",
  "llmProvider": "auto",
  "maxConcurrency": 3,
  "maxSites": 500
}
```

## Output

```json
{
  "locationId": {
    "label": "Your site ID (used in report file names)",
    "format": "string"
  },
  "locationName": {
    "label": "Site name",
    "format": "string"
  },
  "formattedAddress": {
    "label": "Address from OpenStreetMap",
    "format": "string"
  },
  "verdict": {
    "label": "RED / YELLOW / GREEN deal verdict",
    "format": "string"
  },
  "compositeRiskScore": {
    "label": "Combined risk (0-100), weighted by use case",
    "format": "number"
  },
  "overallGrade": {
    "label": "Overall grade A-F",
    "format": "string"
  },
  "floodGrade": {
    "label": "Flood grade A-F",
    "format": "string"
  },
  "contaminationGrade": {
    "label": "Contamination grade",
    "format": "string"
  },
  "ecologicalGrade": {
    "label": "Ecological grade",
    "format": "string"
  },
  "climateGrade": {
    "label": "Climate grade",
    "format": "string"
  },
  "droughtGrade": {
    "label": "Drought grade",
    "format": "string"
  },
  "airQualityGrade": {
    "label": "Air quality grade",
    "format": "string"
  },
  "solarGrade": {
    "label": "Solar grade",
    "format": "string"
  },
  "dealBreakers": {
    "label": "Findings that make the verdict RED",
    "format": "array"
  },
  "reportUrl": {
    "label": "Link to the branded HTML/PDF-ready report",
    "format": "string"
  }
}
```

## How it works

### 1. Sign up on Apify or log in

The GeoRisk Site Screener: flood risk, contamination, EUDR Actor is ready to run with the inputs already set for "Solar farm site risk check, Arizona". [Sign up or log in](https://console.apify.com/create-task-from-example/NpBoBeU7kBVwgh8HD) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Solar farm site risk check, Arizona" task

The GeoRisk Site Screener: flood risk, contamination, EUDR Actor will start running based on the input automatically. You can also change all the input fields, like sites to screen, use case (sets the score weights), and more, to match your specific use case.

### 3. Receive the "Solar farm site risk check, Arizona" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as your site id (used in report file names), site name, address from openstreetmap, and more.

### 4. Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also [run the "Solar farm site risk check, Arizona" task via API](https://apify.com/translucent_wire/georisk-site-intelligence.md).

## About this Actor

This example demonstrates how to use [GeoRisk Site Screener: flood risk, contamination, EUDR](https://apify.com/translucent_wire/georisk-site-intelligence.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/translucent_wire/georisk-site-intelligence.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

This Task's input is already configured above. Use it as-is rather than inventing a new one.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/translucent_wire/georisk-site-intelligence.md

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).