Stream Gage Prioritization Analysis by HUC12 Watershed (View 1, Strm Gge Explr Tl)

This layer shows a multi-component analysis for California stream gage priorities at the Hydrologic Unit Code 12 (HUC12) watershed resolution. The Stream Gage Prioritization Analysis is part of the Senate Bill 19 Stream Gaging Plan, which seeks to prioritize areas for additional stream gaging efforts. The dataset includes the gaged proportion of each HUC12 based on a Gage Gap Analysis and information on prioritization results based on five management criteria. The management criteria include scores for ecosystem, water quality, water supply, flood, and reference gages. The priorities are the top scoring 200 watersheds for each management criteria area, for a total of 921 watersheds with overlap between the priorities. The 921 priorities are assigned a primary (highest scoring) benefit. Included is the presence of gages that could be reactivated or upgraded in the watershed. The presence of underrepresented communities, as defined in the Department of Water Resources DAC Mapping Tool, is also noted for each watershed. parameter Range Description huc12 4469 California huc12 watershed, of which there are 4469 total huc12_name Name of the huc12 watershed huc10 1039 California huc10 watershed, of which there are 1039 total huc10_name Name of the huc10 watershed first_in_huc10 0 or 1 first time this huc10 appears in a ranked list; for hucXX_multibenefit, the master rank is hucXX_rank_combined primary benefit top scoring management criteria, if in top 100 or 200; if "multibenefit topranks", it scores in top 100 in multiple categories; if "combined above median", it scores in the top 200 in no categories but the sum of the scores is in the top 200 prop_need_gage 0 - 1 Proportion of huc12 watershed that is ungaged, by stream segment length huc12_gg_combined 0 - 4 Sum ecosystem_gg, watersupply_gg, waterquality_gg, and flood_gg huc12_gg_combined_ref 0 - 5 Same as huc12_gg_combined plus reference_priority_score_01 ecosystem_gg 0 – 1 Final ecosystem score = ecosystem_raw x prop_need_gage ecosystem_rank 1-4096 Final ecosystem ranking based on ecosystem_gg, with 1 the highest. Equal scores receive equal highest rank. ecosystem_raw 0 - 1 Raw management priority score, without gage gap waterquality_gg 0 – 1 Final waterquality score = waterquality_raw x prop_need_gage waterquality_rank 1 - 1299 Final waterquality ranking based on waterquality_gg, with 1 the highest. Equal scores receive equal highest rank. waterquality_raw 0 - 1 Raw management priority score, without gage gap watersupply_gg 0 – 1 Final watersupply score = watersupply_raw x prop_need_gage watersupply_rank 1-3166 Final watersupply ranking based on watersupply_gg, with 1 the highest. Equal scores receive equal highest rank. watersupply_raw 0 - 1 Raw management priority score, without gage gap flood_gg 0 – 1 Final flood score = flood_raw x prop_need_gage flood_rank 1-4025 Final flood ranking based on flood_gg , with 1 the highest. Equal scores receive equal highest rank. flood_raw 0 - 1 Raw management priority score, without gage gap ref_priority_score_01 0 – 1 Final reference gage score = (1 – gagepair_score) * ref_impairment_score reference_rank 1 – 2231 (4469) Final reference ranking based on ref_priority_score_01, with 1 the highest. Equal scores receive equal highest rank. gagepair_score 0- 1 Final gage pairing score, which indicates how well each watershed matches to the best fit reference gage. 1 indicates a perfect match. site_id_upgrade Gage ID of top-scoring upgrade gage in this watershed site_name_upgrade Gage name of top-scoring upgrade gage in this watershed gage_upgrade_spatial_history_score 0 - 1 Final gage spatial marginal benefit score, where 1 is a high spatial marginal benefit and 0 is redundant with another gage. No history component for upgrade gages site_id_reactivate Gage ID of top-scoring inactive gage in this watershed site_name_reactivate Gage name of top-scoring inactive gage in this watershed gage_reactivate_spatial_history_score 0 - 1 Final combined gage spatial marginal benefit and gage history score, where 1 is a high spatial marginal benefit with a long and/or recent active gage history and 0 is redundant with another gage and/or indicates a very temporary gage. ecosystem priority 1, 0.5, 0 Score = 1 is rank 1-100; Score = 0.5 is rank 101-200 for ecosystem waterquality priority 1, 0.5, 0 Score = 1 is rank 1-100; Score = 0.5 is rank 101-200 for waterquality watersupply priority 1, 0.5, 0 Score = 1 is rank 1-100; Score = 0.5 is rank 101-200 for watersupply flood priority 1, 0.5, 0 Score = 1 is rank 1-100; Score = 0.5 is rank 101-200 for flood reference priority 1, 0.5, 0 Score = 1 is rank 1-100; Score = 0.5 is rank 101-200 for reference scoresum priority 1, 0.5, 0 Score = 1 is rank 1-100; Score = 0.5 is rank 101-200 for raw score summary num_of_ind_priority 0 - 5 Score = ecosystem priority + waterquality_priority + watersupply_priority + flood_priority + reference_priority dac_type indicates if there is a Disadvantaged Community (DAC) present in the watershed, with data equal to severe DAC (SDAC), DAC, not a DAC (community is present), no data (community is present), or no census data (area not analyzed for DAC)