As of today, countries are experiencing rapid urbanization, It is assumed that urbanization
will raise in the future and will become up to 6 billion population by 2045. This significant …

In order to obtain the real-time hydrological information, and conduct the analysis and early
warning on hydrological data, this paper studied the water level acquisition algorithm, used …

According to the urgent requirement of water quality monitoring, water bloom prediction and
emergency treatment decision-making, a multi-functional information system based on GIS …

The expansion of urban population makes urban development face huge challenges, and
the use of emerging technologies to solve urban problems has become the theme of modern …

A smart city constructed through the Internet of Things is a great and best medium
nowadays. In our study, we have designed an advanced and automated device that can …

The paper established the BP neural network to predict the annual water consumption. The
consumption of Tianjin urban annual water from 1991 to 2007 and its related factors …

Accepted: 10 December 2019 Whether the urban water circulation is healthy or not is an
issue that must be considered for achieving the sustainable development of urban society …

Smart Water uses sensor equipment to sense natural water and social water circulation
system, to achieve real-time monitoring and dynamic collection, scheduling and remote …

In order to improve the low prediction accuracy of the traditional lake bloom warning model
in complex environment, this paper proposes to use BP neural network in deep learning to …

Flood disasters are a problem that is difficult to detect because of the sudden arrival.
Flooding is caused by the high intensity of rainfall with a long duration until river water …