Hydropower Development Potential Index

This global dataset continuously ranks from >0 (minimal) to 1 (highest) all suitable lands at a 1-km resolution adjacent to rivers for locating a utility-scaled hydropower facility via impoundment (i.e. hydropower dams), diversion, or instream facilities. These data are derived from the weighted summary of six criteria maps: 1) resource yield potential in annual megawatt hours calculated using global river flow and head values, 2) inverse population density, 3) distanced to the electrical grid, 4) distance to major roads, 5) distance to railways or ports, and 6) distance to urban areas. Included with these data are: a) the classified version of the continuous DPI, b) the corresponding classified uncertainty dataset, c) detailed sensitivity tables for all criteria used in the analysis, and d) full description of the constraints and criteria used in the analysis with the Analytic Hierarch Process (AHP) pairwise comparison matrix and resulting criteria weights derived from AHP.本全球数据集以1千米空间分辨率，对所有临河适宜用地开展连续适配度打分，分值区间为大于0（最低适配等级）至1（最高适配等级），适配场景为通过筑坝蓄水（即水电大坝）、引水或河道内设施建设公用事业级水电项目。该数据集基于六大准则图层的加权汇总生成，六大评价准则分别为：1) 依托全球河川径流量与水头值计算得到的年兆瓦时发电量潜力；2) 人口密度倒数；3) 距输电网的距离；4) 距主要公路的距离；5) 距铁路或港口的距离；6) 距城市建成区的距离。随数据集同步提供的内容包括：a) 连续DPI的分类版本；b) 对应的分类不确定性数据集；c) 本次分析所用全部准则的详细敏感性分析表；d) 本次分析所用约束条件与评价准则的完整说明，包含层次分析法（Analytic Hierarchy Process，AHP）的两两比较矩阵，以及通过AHP推导得到的准则权重值。