wb_waterdata

For the Semarang area generally two types of floods are typical and have to be taken into account accordingly: a. Tidal floods in coastal areas due to land subsidence
Rates ranging from 1 to 17 cm/year. These results are confirmed by the recent InSAR subsidence calculation based on Sentinel 1 Radar Data performed by JR within the frame of this project. b. Short-term local floods and river floods after heavy thunderstorms.
The present Geodatabase includes 12 stages of coastal water extent between 1995 and 2017 to demonstrate the increase of flooded areas.

Risk is defined as a combination of probability and consequences. A detailed and uniform land-use map is an important prerequisite to perform flood risk calculations, since it determines what is damaged in case of flooding.
Two different datasets regarding the urban landuse were made available:
• LULC product based on VHR data (WorldView-4 acquired on 29/11/2018) covering the core urban area (approx. 89,0 km²)
• LULC product based on HR data (Sentinel 2 acquired on 09/12/2018) covering the urban area (approx. 298,8 km²)
Both land-use classification results were...

For the urban and peri-urban area of St. Louis, three main flood scenarios have to be considered:
a. Fluvial floods (seasonal floods from the Senegal River) after heavy tropical rains in the upper part of the catchment area
b. Floods triggered by rainfall stagnation after heavy local cloudbursts
c. Floods caused by sea-level rise, tidal waves and coastal erosion
Scenario a.) and b.) may occur at...

For the urban and peri-urban area of St. Louis, three main flood scenarios have to be considered:
a. Fluvial floods (seasonal floods from the Senegal River) after heavy tropical rains in the upper part of the catchment area (mainly from August to November)
b. Floods triggered by rainfall stagnation after heavy local cloudbursts
c. Floods caused by sea-level rise, tidal waves and coastal erosion
Scenario a.) and b.) may occur at the same time.

The flood hazard map was generated based on the occurrence of flood events during the past 10 years.
The...

Risk is defined as a combination of probability and consequences. A detailed and uniform land-use map is an important prerequisite to perform flood risk calculations, since it determines what is damaged in case of flooding. The land-use map was provided by GAF AG and recoded to pre-defined categories to ensure consistent results.
The exposition is classified integrating economic costs, social damage, physical damage and flood duration. Four land use damage levels (A, B, C, D) are defined based on this estimation.
The Flood Risk matrix is generated based on these results code...

For the Denpasar area short-term flooding close to rivers and waterways in the rainy season (November – March) is typical.The present Geodatabase includes two shp-files for rough estimation of potential flooding zones: a. Denpasar_Flood_Hazard_Rivers Waterways are taken from OSM Layer and complemented by hydrologic modelling of potential catchment areas and flow routes based on SRTM and visual interpretation of VHR data. After classification in two classes based on Stream Order the lines were buffered with 50 m and 100 m respectively to roughly estimate potential flooding zones. b....

Risk is defined as a combination of probability and consequences. A detailed and uniform land-use map is an important prerequisite to perform flood risk calculations, since it determines what is damaged in case of flooding.
Two different datasets regarding the urban landuse were made available:
• LULC product based on VHR data (WorldView-4 acquired on 29/11/2018) covering the core urban area (approx. 89,0 km²)
• LULC product based on HR data (Sentinel 2 acquired on 09/12/2018) covering the urban area (approx. 298,8 km²)
Both land-use classification results were...

For the urban and peri-urban area of Dakar, two main flood scenarios have to be considered:
a. Fluvial floods
b. Floods triggered by rainfall stagnation after heavy local cloudbursts
Scenario a.) and b.) may occur at the same time.

The shapefile includes 6 extents of floods between 2009 and 2018 based on HR optical imagery and 7 extents of floods based on visual interpretation of VHR data as available in GoogleEarth.

For the urban and peri-urban area of Dakar, two main flood scenarios have to be considered:
a. Fluvial floods
b. Floods triggered by rainfall stagnation after heavy local cloudbursts
Scenario a.) and b.) may occur at the same time.

The flood hazard map was generated based on the occurrence of flood events during the past 10 years.
The flood hazard classification in three qualitative hazard levels was done by summing up the flood occurences and reclassifying according to the following list:

Number of events Flood Hazard Level
1...

The product over Abidjan (Ivory Coast) contains spatial explicit information about transport network and its typology as identified from Open Street Map and updated by interpretation of VHR satellite imagery. The level of detail for the classification scheme mainly relies on the input data sources.

Land Use / Land Cover (LULC) information product over Abidjan (Ivory Coast) contains spatial explicit information on different land use and land cover occurring in the Larger Urban Area and Core City Area of the City of Abidjan for past (2005) and current (2018) dates. The Larger Urban Area LU/LC nomenclature is at an aggregated Level 1 or 2. The input data for the Larger Urban Area was Ikonos (2005) and Sentinel-2 (2019). The Core City Area has detailed LU/LC nomenclature that is either at Level 3 or 4. The input data for the Core City Area was the Very High Resolution (VHR) data of...

The MICS Punjab, 2017-18 has as its primary objectives: - To provide high quality data for assessing the situation of children, adolescents, women and households in Punjab; - To furnish data needed for monitoring progress toward national goals, as a basis for future action; - To collect disaggregated data for the identification of disparities, to inform policies aimed at social inclusion of the most vulnerable; - To validate data from other sources and the results of focused interventions; - To generate data on national and global SDG indicators; - To generate internationally comparable...

The Country Opinion Survey in Moldova assists the World Bank Group (WBG) in gaining a better understanding of how stakeholders in Moldova perceive the WBG. It provides the WBG with systematic feedback from national and local governments, multilateral/bilateral agencies, media, academia, the private sector, and civil society in Moldova on: 1) Their views regarding the general environment in Moldova; 2) Their overall attitudes toward the WBG in Moldova; 3) Overall impressions of the WBG’s effectiveness and results, knowledge work and activities, and communication and information sharing in...

The World Bank's Enabling the Business of Agriculture project assesses laws and regulations in agriculture in 101 countries. The data set identifies actionable reforms to remove obstacles for farmers seeking to grow their business. The eight core indicators are: supplying seed, registering fertilizer, securing water, registering machinery, sustaining livestock, protecting plant health, trading food and accessing finance.

The survey was conducted in Turkey between September 2018 and May 2019 as joint project of the European Bank for Reconstruction and Development (EBRD), the European Investment Bank (EIB) and the World Bank Group (WBG). The objective of the Enterprise Survey is to gain an understanding of what firms experience in the private sector. As part of its strategic goal of building a climate for investment, job creation, and sustainable growth, the World Bank has promoted improving the business environment as a key strategy for development, which has led to a systematic effort in collecting...

The General Household Survey-Panel (GHS-Panel) is implemented in collaboration with the World Bank Living Standards Measurement Study (LSMS) team as part of the Integrated Surveys on Agriculture (ISA) program. The objectives of the GHS-Panel include the development of an innovative model for collecting agricultural data, interinstitutional collaboration, and comprehensive analysis of welfare indicators and socio-economic characteristics. The GHS-Panel is a nationally representative survey of approximately 5,000 households, which are also representative of the six geopolitical zones. The...

The survey was conducted in Montenegro between January and July 2019 as joint project of the European Bank for Reconstruction and Development (EBRD), the European Investment Bank (EIB) and the World Bank Group (WBG). Data from 332 establishments was analyzed. The objective of the Enterprise Survey is to gain an understanding of what firms experience in the private sector. As part of its strategic goal of building a climate for investment, job creation, and sustainable growth, the World Bank has promoted improving the business environment as a key strategy for development, which has led to...

The Country Opinion Survey in Thailand assists the World Bank Group (WBG) in gaining a better understanding of how stakeholders in Thailand perceive the WBG. It provides the WBG with systematic feedback from national and local governments, multilateral/bilateral agencies, media, academia, the private sector, and civil society in Thailand on 1) their views regarding the general environment in Thailand; 2) their overall attitudes toward the WBG in Thailand; 3) overall impressions of the WBG’s effectiveness and results, knowledge work and activities, and communication and information sharing...

The Country Opinion Survey in Sierra Leone assists the World Bank Group (WBG) in gaining a better understanding of how stakeholders in Sierra Leone perceive the WBG. It provides the WBG with systematic feedback from national and local governments, multilateral/bilateral agencies, media, academia, the private sector, and civil society in Sierra Leone on 1) their views regarding the general environment in Sierra Leone; 2) their overall attitudes toward the WBG in Sierra Leone; 3) overall impressions of the WBG’s effectiveness and results, knowledge work and activities, and communication and...

The Country Opinion Survey in Belarus assists the World Bank Group (WBG) in gaining a better understanding of how stakeholders in Belarus perceive the WBG. It provides the WBG with systematic feedback from national and local governments, multilateral/bilateral agencies, media, academia, the private sector, and civil society in Belarus on 1) their views regarding the general environment in Belarus; 2) their overall attitudes toward the WBG in Belarus; 3) overall impressions of the WBG’s effectiveness and results, knowledge work and activities, and communication and information sharing in...

The Village Law, enacted in 2014, mandated the transfer of funds to villages with the goals of reducing poverty and improving living standards in villages through village-led development and community empowerment. Village Law (VL) builds on Indonesia’s 17-year history of participatory and community-driven development (CDD) approaches such as under the Kecamatan Development Project (KDP) and Program Nasional Permberdayaan Masyarakat (PNPM). The changes consequent upon the closing down of PNPM and its replacement by Village Law transfers (Dana Desa and Alokasi Dana Desa) and implementation...

The input tsunami hazard data are based on the global hazard analysis of Davies et al. (2017), developed jointly by Geoscience Australia and NGI, formatted for use in ThinkHazard!. The data serves as data for Global Tsunami Model (GTM, http://globaltsunamimodel.org/). The global tsunami dataset contains maximum inundation heights, calculated at offshore hazard points and projected to shoreline by simple interpolation. Tsunami Maximum Inundation Height (MIH) is defined as the largest elevation the tsunami reaches above still water level,...

The geographical location of Afghanistan and years of environmental degradation in the
country make Afghanistan highly prone to intense and recurring natural hazards such as
flooding, earthquakes, snow avalanches, landslides, and droughts. These occur in addition to
man-made disasters resulting in the frequent loss of live, livelihoods, and property. The
creation, understanding and accessibility of hazard, exposure, vulnerability and risk
information is key for effective management of disaster risk. Assuring the resilience of new
reconstruction efforts...

This dataset has been clipped from the GAR15 storm surge model by GFDRR for inclusion into ThinkHazard! The tropical cyclonic strong wind and storm surge model use information from 2594 historical tropical cyclones, topography, terrain roughness, and bathymetry. The historical tropical cyclones used in GAR15 cyclone wind and storm surge model are from five different oceanic basins: Northeast Pacific, Northwest Pacific, South Pacific, North Indian, South Indian and North Atlantic and the tracks were obtained from the IBTrACS database (Knapp et al. 2010). This database represents the...

This dataset has been clipped from the GAR15 storm surge model by GFDRR for inclusion into ThinkHazard! The tropical cyclonic strong wind and storm surge model use information from 2594 historical tropical cyclones, topography, terrain roughness, and bathymetry. The historical tropical cyclones used in GAR15 cyclone wind and storm surge model are from five different oceanic basins: Northeast Pacific, Northwest Pacific, South Pacific, North Indian, South Indian and North Atlantic and the tracks were obtained from the IBTrACS database (Knapp et al. 2010). This database represents the...