Draft CEC Cropland Index Model High Category for 2026-2027 IRP

For the 26-27 IRP, CEC updated the input datasets to the model to use the most recent available versions of the input data, leaving the transformation scale, weights and determination of the area of analysis identical to the previous version. The variables used in the CEC Cropland Index Model contain information on soil quality (CA Revised Storie Index, Electrical Conductivity, and Sodium Adsorption Ratio), farmland designations (Prime Farmland, Unique Farmland and Farmland of Statewide Importance), and current existence of crops (as indicated by the California Statewide Crop Mapping). The CEC Cropland Index Model does not include statewide information for grazing lands or rangelands, and it is only applied to solar technology. More information about this layer and its use in electric system planning is found in the CEC presentation from the August 19 webinar, as well as the 2023 Land Use Screens Staff Report in the CEC Energy Planning Library.针对2026-2027年综合资源规划（Integrated Resource Plan，IRP），加州能源委员会（California Energy Commission，CEC）更新了模型的输入数据集，采用当前可获取的最新版本输入数据，同时保持变换尺度、权重以及分析区域的判定规则与前一版本完全一致。CEC农田指数模型（CEC Cropland Index Model）所使用的变量涵盖土壤质量信息（加州修订斯托里指数（CA Revised Storie Index）、电导率（Electrical Conductivity）以及钠吸附比（Sodium Adsorption Ratio））、农田分类信息（优质农田（Prime Farmland）、特殊农田（Unique Farmland）以及全州重要农田（Farmland of Statewide Importance）），以及当前作物种植情况（基于加州全州作物制图（California Statewide Crop Mapping））。该模型未涵盖牧场或放牧地的全州级信息，且仅适用于太阳能发电技术场景。有关该数据图层及其在电力系统规划中的应用的更多详情，可参阅CEC于2023年8月19日网络研讨会的演示文稿，以及CEC能源规划库中的《2023年土地使用筛选员工报告》。