Uncertainty and Climate Variability in the Design and Operation of Water Resources Projects : Examples and Case Studies
There are two common problems in flood hydrology: 1) estimate the return period for a given flood; and 2) estimate the flood for a given return period. A commonly used procedure to solve these problems is to fit a probability density function such...
| Main Authors: | , |
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| Format: | Other Environmental Study |
| Language: | English en_US |
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World Bank, Washington, DC
2013
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| Online Access: | http://documents.worldbank.org/curated/en/2011/11/17837367/uncertainty-climate-variability-design-operation-water-resources-projects-examples-case-studies-vol-1-2-annexes http://hdl.handle.net/10986/15813 |
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okr-10986-15813 |
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| recordtype |
oai_dc |
| repository_type |
Digital Repository |
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Foreign Institution |
| institution |
Digital Repositories |
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World Bank Open Knowledge Repository |
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World Bank |
| language |
English en_US |
| topic |
AGRICULTURE ANNUAL PRECIPITATION ANNUAL RAINFALL ANNUAL VARIATIONS ANOXIC CONDITIONS ANTHROPOGENIC CLIMATE CHANGE ATMOSPHERE AVAILABILITY OF WATER AVERAGE RAINFALL BASINS CALCULATION CAPACITY BUILDING CASE STUDIES CATCHMENT AREA CLIMATE CLIMATE CHANGE CLIMATE CHANGE IMPACT CLIMATE CHANGE IMPACTS CLIMATE CHANGE SCENARIOS CLIMATE CONDITIONS CLIMATE FLUCTUATIONS CLIMATE IMPACT CLIMATE PROJECTIONS CLIMATE SIMULATIONS CLIMATE UNCERTAINTY CLIMATE VARIABILITY CLIMATIC CHANGE CLIMATIC CHARACTERISTICS CLIMATIC IMPACTS CLIMATIC VARIABILITY CLOUDS CO COLORS CONSTRUCTION COPE WITH CLIMATE CHANGE CROPS DAMS DECISION MAKERS DEFORESTATION DISCHARGE DOMINANT VEGETATION DRAINAGE DROUGHT DROUGHT CONDITIONS DRY PERIODS ECOSYSTEM ECOSYSTEM STRUCTURE ECOSYSTEMS EFFECT OF CLIMATE VARIABILITY EMISSION EMISSION SCENARIOS EMISSIONS EMISSIONS SCENARIOS ENVIRONMENTAL IMPACT ENVIRONMENTAL IMPACT ASSESSMENT EVAPORATION EVAPOTRANSPIRATION EXTREME VALUES FAT TAILS FINANCIAL CONTRIBUTION FLOOD CONTROL FLOOD FORECASTING FLOOD FREQUENCY FLOOD RISK FLOODS FUTURE CLIMATE CHANGE GCM GEOLOGICAL SURVEY GHG GREENHOUSE GREENHOUSE GASES GROUND SURFACE GROUNDWATER GROUNDWATER RECHARGE GROWING SEASON HIGHLANDS HUMAN INTERVENTION HUMID REGIONS HYDROLOGIC CHANGES HYDROLOGIC CONDITIONS HYDROLOGIC CYCLE HYDROLOGIC MODELS HYDROLOGIC PARAMETERS HYDROLOGIC RECORDS HYDROLOGIC REGIME HYDROLOGIC REGIMES HYDROLOGIC VARIABLES HYDROLOGICAL MODELS HYDROLOGISTS HYDROLOGY HYDROPOWER DEVELOPMENT IMPACT OF CLIMATE IMPACT OF CLIMATE CHANGE IMPACT OF CLIMATE VARIABILITY INCREASE IN TEMPERATURE INTERGOVERNMENTAL PANEL ON CLIMATE CHANGE IPCC LAND MANAGEMENT LAND USE LAND-SURFACE LONG-TERM CLIMATE VARIABILITY MAGNITUDE OF CLIMATE CHANGE MANAGEMENT OF WATER MEAN RAINFALL METEOROLOGICAL ORGANIZATION MITIGATION PALEOCLIMATOLOGY PEAK FLOWS PRECIPITATION PRECIPITATION ANOMALIES PROBABILITY DENSITY PROBABILITY DISTRIBUTION PROBABILITY DISTRIBUTIONS RAIN RAINFALL RAINFALL INTENSITY RAINFALL MEAN RAINFALL PATTERNS RAINFALL SCENARIOS RAINY DAYS RAINY SEASONS RANGES REGIONAL CLIMATE RESERVOIR RESERVOIRS RESTORATION RIVER RIVER BASIN RUNOFF SAMPLE SIZE SEASONAL PRECIPITATION SEASONAL RAINFALL SEDIMENT SERVICE PROVISION SPECIES SPECIES COMPOSITION STATISTICAL METHODS STOCHASTIC PROCESS STORM EVENTS STUDY AREA SUBLIMATION SURFACE BOUNDARY SURFACE RUNOFF SURFACE WATER TEMPERATURE TEMPERATURE VARIABILITY TEMPORAL RESOLUTION TROPICS UNCERTAINTIES USE OF WATER VEGETATION VEGETATION PATTERNS WATER MANAGEMENT WATER RESOURCES WATER SUPPLY WATER TABLE WATER USE WATERSHED WATERSHED MANAGEMENT WETLAND WETLAND SYSTEM WETLAND VEGETATION WETLAND WATER WETLANDS WMO |
| spellingShingle |
AGRICULTURE ANNUAL PRECIPITATION ANNUAL RAINFALL ANNUAL VARIATIONS ANOXIC CONDITIONS ANTHROPOGENIC CLIMATE CHANGE ATMOSPHERE AVAILABILITY OF WATER AVERAGE RAINFALL BASINS CALCULATION CAPACITY BUILDING CASE STUDIES CATCHMENT AREA CLIMATE CLIMATE CHANGE CLIMATE CHANGE IMPACT CLIMATE CHANGE IMPACTS CLIMATE CHANGE SCENARIOS CLIMATE CONDITIONS CLIMATE FLUCTUATIONS CLIMATE IMPACT CLIMATE PROJECTIONS CLIMATE SIMULATIONS CLIMATE UNCERTAINTY CLIMATE VARIABILITY CLIMATIC CHANGE CLIMATIC CHARACTERISTICS CLIMATIC IMPACTS CLIMATIC VARIABILITY CLOUDS CO COLORS CONSTRUCTION COPE WITH CLIMATE CHANGE CROPS DAMS DECISION MAKERS DEFORESTATION DISCHARGE DOMINANT VEGETATION DRAINAGE DROUGHT DROUGHT CONDITIONS DRY PERIODS ECOSYSTEM ECOSYSTEM STRUCTURE ECOSYSTEMS EFFECT OF CLIMATE VARIABILITY EMISSION EMISSION SCENARIOS EMISSIONS EMISSIONS SCENARIOS ENVIRONMENTAL IMPACT ENVIRONMENTAL IMPACT ASSESSMENT EVAPORATION EVAPOTRANSPIRATION EXTREME VALUES FAT TAILS FINANCIAL CONTRIBUTION FLOOD CONTROL FLOOD FORECASTING FLOOD FREQUENCY FLOOD RISK FLOODS FUTURE CLIMATE CHANGE GCM GEOLOGICAL SURVEY GHG GREENHOUSE GREENHOUSE GASES GROUND SURFACE GROUNDWATER GROUNDWATER RECHARGE GROWING SEASON HIGHLANDS HUMAN INTERVENTION HUMID REGIONS HYDROLOGIC CHANGES HYDROLOGIC CONDITIONS HYDROLOGIC CYCLE HYDROLOGIC MODELS HYDROLOGIC PARAMETERS HYDROLOGIC RECORDS HYDROLOGIC REGIME HYDROLOGIC REGIMES HYDROLOGIC VARIABLES HYDROLOGICAL MODELS HYDROLOGISTS HYDROLOGY HYDROPOWER DEVELOPMENT IMPACT OF CLIMATE IMPACT OF CLIMATE CHANGE IMPACT OF CLIMATE VARIABILITY INCREASE IN TEMPERATURE INTERGOVERNMENTAL PANEL ON CLIMATE CHANGE IPCC LAND MANAGEMENT LAND USE LAND-SURFACE LONG-TERM CLIMATE VARIABILITY MAGNITUDE OF CLIMATE CHANGE MANAGEMENT OF WATER MEAN RAINFALL METEOROLOGICAL ORGANIZATION MITIGATION PALEOCLIMATOLOGY PEAK FLOWS PRECIPITATION PRECIPITATION ANOMALIES PROBABILITY DENSITY PROBABILITY DISTRIBUTION PROBABILITY DISTRIBUTIONS RAIN RAINFALL RAINFALL INTENSITY RAINFALL MEAN RAINFALL PATTERNS RAINFALL SCENARIOS RAINY DAYS RAINY SEASONS RANGES REGIONAL CLIMATE RESERVOIR RESERVOIRS RESTORATION RIVER RIVER BASIN RUNOFF SAMPLE SIZE SEASONAL PRECIPITATION SEASONAL RAINFALL SEDIMENT SERVICE PROVISION SPECIES SPECIES COMPOSITION STATISTICAL METHODS STOCHASTIC PROCESS STORM EVENTS STUDY AREA SUBLIMATION SURFACE BOUNDARY SURFACE RUNOFF SURFACE WATER TEMPERATURE TEMPERATURE VARIABILITY TEMPORAL RESOLUTION TROPICS UNCERTAINTIES USE OF WATER VEGETATION VEGETATION PATTERNS WATER MANAGEMENT WATER RESOURCES WATER SUPPLY WATER TABLE WATER USE WATERSHED WATERSHED MANAGEMENT WETLAND WETLAND SYSTEM WETLAND VEGETATION WETLAND WATER WETLANDS WMO Rodríguez-Iturbe, Ignacio Valdés, Juan B. Uncertainty and Climate Variability in the Design and Operation of Water Resources Projects : Examples and Case Studies |
| description |
There are two common problems in flood
hydrology: 1) estimate the return period for a given flood;
and 2) estimate the flood for a given return period. A
commonly used procedure to solve these problems is to fit a
probability density function such as the Gumbel, Pearson
type three or the generalized extreme value distributions to
the historical data. The Pearson probability distribution
was named after the statistician Pearson, it is also called
the three-parameter gamma distribution. The Mann-Kendall
test is a non-parametric test for identifying trends in time
series data. The test compares the relative magnitudes of
sample data rather than the data values them. One benefit of
this test is that the data need not conform to any
particular distribution. The data values are evaluated as an
ordered time series. Each data value is compared to all
subsequent data values. There are basically two approaches
to downscale coupled climate model projections: statistical
and dynamic downscaling. |
| format |
Economic & Sector Work :: Other Environmental Study |
| author |
Rodríguez-Iturbe, Ignacio Valdés, Juan B. |
| author_facet |
Rodríguez-Iturbe, Ignacio Valdés, Juan B. |
| author_sort |
Rodríguez-Iturbe, Ignacio |
| title |
Uncertainty and Climate Variability in the Design and Operation of Water Resources Projects : Examples and Case Studies |
| title_short |
Uncertainty and Climate Variability in the Design and Operation of Water Resources Projects : Examples and Case Studies |
| title_full |
Uncertainty and Climate Variability in the Design and Operation of Water Resources Projects : Examples and Case Studies |
| title_fullStr |
Uncertainty and Climate Variability in the Design and Operation of Water Resources Projects : Examples and Case Studies |
| title_full_unstemmed |
Uncertainty and Climate Variability in the Design and Operation of Water Resources Projects : Examples and Case Studies |
| title_sort |
uncertainty and climate variability in the design and operation of water resources projects : examples and case studies |
| publisher |
World Bank, Washington, DC |
| publishDate |
2013 |
| url |
http://documents.worldbank.org/curated/en/2011/11/17837367/uncertainty-climate-variability-design-operation-water-resources-projects-examples-case-studies-vol-1-2-annexes http://hdl.handle.net/10986/15813 |
| _version_ |
1764431134292180992 |
| spelling |
okr-10986-158132021-04-23T14:03:22Z Uncertainty and Climate Variability in the Design and Operation of Water Resources Projects : Examples and Case Studies Rodríguez-Iturbe, Ignacio Valdés, Juan B. AGRICULTURE ANNUAL PRECIPITATION ANNUAL RAINFALL ANNUAL VARIATIONS ANOXIC CONDITIONS ANTHROPOGENIC CLIMATE CHANGE ATMOSPHERE AVAILABILITY OF WATER AVERAGE RAINFALL BASINS CALCULATION CAPACITY BUILDING CASE STUDIES CATCHMENT AREA CLIMATE CLIMATE CHANGE CLIMATE CHANGE IMPACT CLIMATE CHANGE IMPACTS CLIMATE CHANGE SCENARIOS CLIMATE CONDITIONS CLIMATE FLUCTUATIONS CLIMATE IMPACT CLIMATE PROJECTIONS CLIMATE SIMULATIONS CLIMATE UNCERTAINTY CLIMATE VARIABILITY CLIMATIC CHANGE CLIMATIC CHARACTERISTICS CLIMATIC IMPACTS CLIMATIC VARIABILITY CLOUDS CO COLORS CONSTRUCTION COPE WITH CLIMATE CHANGE CROPS DAMS DECISION MAKERS DEFORESTATION DISCHARGE DOMINANT VEGETATION DRAINAGE DROUGHT DROUGHT CONDITIONS DRY PERIODS ECOSYSTEM ECOSYSTEM STRUCTURE ECOSYSTEMS EFFECT OF CLIMATE VARIABILITY EMISSION EMISSION SCENARIOS EMISSIONS EMISSIONS SCENARIOS ENVIRONMENTAL IMPACT ENVIRONMENTAL IMPACT ASSESSMENT EVAPORATION EVAPOTRANSPIRATION EXTREME VALUES FAT TAILS FINANCIAL CONTRIBUTION FLOOD CONTROL FLOOD FORECASTING FLOOD FREQUENCY FLOOD RISK FLOODS FUTURE CLIMATE CHANGE GCM GEOLOGICAL SURVEY GHG GREENHOUSE GREENHOUSE GASES GROUND SURFACE GROUNDWATER GROUNDWATER RECHARGE GROWING SEASON HIGHLANDS HUMAN INTERVENTION HUMID REGIONS HYDROLOGIC CHANGES HYDROLOGIC CONDITIONS HYDROLOGIC CYCLE HYDROLOGIC MODELS HYDROLOGIC PARAMETERS HYDROLOGIC RECORDS HYDROLOGIC REGIME HYDROLOGIC REGIMES HYDROLOGIC VARIABLES HYDROLOGICAL MODELS HYDROLOGISTS HYDROLOGY HYDROPOWER DEVELOPMENT IMPACT OF CLIMATE IMPACT OF CLIMATE CHANGE IMPACT OF CLIMATE VARIABILITY INCREASE IN TEMPERATURE INTERGOVERNMENTAL PANEL ON CLIMATE CHANGE IPCC LAND MANAGEMENT LAND USE LAND-SURFACE LONG-TERM CLIMATE VARIABILITY MAGNITUDE OF CLIMATE CHANGE MANAGEMENT OF WATER MEAN RAINFALL METEOROLOGICAL ORGANIZATION MITIGATION PALEOCLIMATOLOGY PEAK FLOWS PRECIPITATION PRECIPITATION ANOMALIES PROBABILITY DENSITY PROBABILITY DISTRIBUTION PROBABILITY DISTRIBUTIONS RAIN RAINFALL RAINFALL INTENSITY RAINFALL MEAN RAINFALL PATTERNS RAINFALL SCENARIOS RAINY DAYS RAINY SEASONS RANGES REGIONAL CLIMATE RESERVOIR RESERVOIRS RESTORATION RIVER RIVER BASIN RUNOFF SAMPLE SIZE SEASONAL PRECIPITATION SEASONAL RAINFALL SEDIMENT SERVICE PROVISION SPECIES SPECIES COMPOSITION STATISTICAL METHODS STOCHASTIC PROCESS STORM EVENTS STUDY AREA SUBLIMATION SURFACE BOUNDARY SURFACE RUNOFF SURFACE WATER TEMPERATURE TEMPERATURE VARIABILITY TEMPORAL RESOLUTION TROPICS UNCERTAINTIES USE OF WATER VEGETATION VEGETATION PATTERNS WATER MANAGEMENT WATER RESOURCES WATER SUPPLY WATER TABLE WATER USE WATERSHED WATERSHED MANAGEMENT WETLAND WETLAND SYSTEM WETLAND VEGETATION WETLAND WATER WETLANDS WMO There are two common problems in flood hydrology: 1) estimate the return period for a given flood; and 2) estimate the flood for a given return period. A commonly used procedure to solve these problems is to fit a probability density function such as the Gumbel, Pearson type three or the generalized extreme value distributions to the historical data. The Pearson probability distribution was named after the statistician Pearson, it is also called the three-parameter gamma distribution. The Mann-Kendall test is a non-parametric test for identifying trends in time series data. The test compares the relative magnitudes of sample data rather than the data values them. One benefit of this test is that the data need not conform to any particular distribution. The data values are evaluated as an ordered time series. Each data value is compared to all subsequent data values. There are basically two approaches to downscale coupled climate model projections: statistical and dynamic downscaling. 2013-09-25T18:38:01Z 2013-09-25T18:38:01Z 2011-11 http://documents.worldbank.org/curated/en/2011/11/17837367/uncertainty-climate-variability-design-operation-water-resources-projects-examples-case-studies-vol-1-2-annexes http://hdl.handle.net/10986/15813 English en_US CC BY 3.0 IGO http://creativecommons.org/licenses/by/3.0/igo/ World Bank World Bank, Washington, DC Economic & Sector Work :: Other Environmental Study |