Create an initial water balance and calculate water loss performance indicators
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| 名前 | EasyCalc |
|---|---|
| バージョン | 1.2.9 |
| アップデート | 2024年09月13日 |
| サイズ | 20 MB |
| カテゴリー | ツール |
| インストール | 500+ |
| 開発元 | Liemberger |
| Android OS | Android 10+ |
| Google Play ID | cc.easycalc.wb |
EasyCalc · スクリーンショット
EasyCalc · 説明
EasyCalc mobile helps water utilities and consultants to establish an initial water balance and calculate water loss performance indicators.
For many years, Non-Revenue Water (NRW) practitioners have been using the free water balance software WB-EasyCalc (can be downloaded from www.liemberger.cc) for their detailed water balance and performance indicator calculations. For such an analysis a lot of information and data is required, but often not readily available.
The app EasyCalc mobile intends to bridge the gap between “no idea about the NRW situation” and a detailed water audit using WB-EasyCalc. The app will be most useful for example in initial discussions with a water utility manager when only most basic data are readily available and the app’s default values can be used to fill the blanks. Rough estimates of potential 95% confidence intervals (+/- error margins) are integrated so that potential error range of the results can be easily understood.
For many years, Non-Revenue Water (NRW) practitioners have been using the free water balance software WB-EasyCalc (can be downloaded from www.liemberger.cc) for their detailed water balance and performance indicator calculations. For such an analysis a lot of information and data is required, but often not readily available.
The app EasyCalc mobile intends to bridge the gap between “no idea about the NRW situation” and a detailed water audit using WB-EasyCalc. The app will be most useful for example in initial discussions with a water utility manager when only most basic data are readily available and the app’s default values can be used to fill the blanks. Rough estimates of potential 95% confidence intervals (+/- error margins) are integrated so that potential error range of the results can be easily understood.
