全球58,502个污水处理厂（WWTPs）及其特征数据集

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HydroWASTE v1.0

前言 – 床长人工智能教程
HydroWASTE是一个空间上明确的全球数据库，包括58,502个污水处理厂（WWTPs）及其特征。该数据库是通过将国家和地区的数据集与辅助信息结合起来，得出或完成缺失的特征，包括服务的人数、污水的流速和处理后的废水水平。带有水流估算的HydroSHEDS河网被用来对工厂的排污口位置进行地理参照，并在全球范围内评估废水的分布。所有的废水处理厂都通过其估计的排污口位置共同注册到HydroRIVERS数据库的全球河流网络中。你可以在这里找到数据集页面

HydroWASTE

关于HydroATLAS的更多信息，请参考Hydroatlas的hydrosheds页面，技术信息包含在论文中

ESSD - Distribution and characteristics of wastewater treatment plants within the global river network

免责声明：数据集的全部或部分描述是由作者或其作品提供的。

参考文献

The development of BasinATLAS and RiverATLAS is fully described in Linke et al. (2019) and should be cited as:

Ehalt Macedo, H., Lehner, B., Nicell, J., Grill, G., Li, J., Limtong, A., Shakya, R. (2022). Distribution and characteristics of wastewater treatment plants within the global river network. Earth System Science Data, 14(2): 559–577. https://doi.org/10.5194/essd-14-559-2022

代码：

// Visualization for HydroWASTE
var table = ee.FeatureCollection("projects/sat-io/open-datasets/HydroWaste/HydroWASTE_v10");
var typeColor = ee.Dictionary({
  'Primary': 'fc8d59',
  'Secondary': '542788',
  'Advanced': 'fdb863',
});
var type = ['Primary', 'Secondary', 'Advanced'];

function addStyle(pt) {
  var size = ee.Number(pt.get('WASTE_DIS')).sqrt().divide(100);
  var color = typeColor.get(pt.get('LEVEL'));
  return pt.set('styleProperty', ee.Dictionary({'pointSize': size, 'color': color}));
}

var pp = ee.FeatureCollection(table).map(addStyle);
Map.addLayer(pp.filter(ee.Filter.eq('LEVEL', 'Primary')).style({styleProperty: 'styleProperty'}), {}, 'Primary', true,0.65);
Map.addLayer(pp.filter(ee.Filter.eq('LEVEL', 'Secondary')).style({styleProperty: 'styleProperty'}), {}, 'Secondary', true,0.65);
Map.addLayer(pp.filter(ee.Filter.eq('LEVEL', 'Advanced')).style({styleProperty: 'styleProperty'}), {}, 'Advanced', true,0.65);

代码链接：https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:hydrology/HYDROWASTE

License¶

The data is licensed under a Creative Commons Attribution 4.0 International License (see section 4). By downloading and using the data the user agrees to the terms and conditions of this license.

Created by: Ehalt Macedo, H., Lehner, B., Nicell, J., Grill, G., Li, J., Limtong, A., Shakya, R.

Curated in GEE by: Samapriya Roy

Keywords: water,hydrology, rivers, discharge, depth, volume, area, hydrowaste, wastewater

Last updated: 2022-07-09

 前言 – 床长人工智能教程

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