Tackling rainwater shortages during dry seasons using a socio-technical operational strategy

2015 ◽  
Vol 15 (5) ◽  
pp. 974-980 ◽  
Author(s):  
Tulinave B. Mwamila ◽  
Mooyoung Y. Han ◽  
Tschung-il Kim ◽  
Preksedis M. Ndomba

The management of water resources during the dry season is a major challenge associated with rainwater harvesting (RWH) technology, but is necessary given the human suffering that follows from resulting conditions of water scarcity. In this study, the parameters for dry season assessment are defined in terms of ‘no water days’ (NWD) and rainwater usage ratio. A simple socio-technical operational strategy making use of a water level monitoring system is proposed for NWD reduction. This involves water level monitoring, whereby daily water demand varies with user cooperation, as based on the available water in a tank. The results of our study show that an NWD as low as 10 can be achieved as compared with the current value of 115 days, before considering investment on additional roof catchments and tank volume. These parameters are useful for analyzing any type of rooftop RWH system. Furthermore, this operational strategy can be made practical and simplified by incorporating an easily visible and understood guideline onto the RWH system. This strategy is replicable anywhere in the world, with consideration of site-specific conditions such as rainfall amounts, roof sizes, and population.

2012 ◽  
Vol 518-523 ◽  
pp. 2514-2517
Author(s):  
Ming De Xu ◽  
Jiang Zheng ◽  
Jian Jun Lu ◽  
Zi Juan Zhang

To reflect the problem of Black-odor of the urban river for the qualitative and quantitative,Used in Extenics matter-element analysis to establish Taiyuan urban river Black-odor extension model, refering to "Surface Water Environmental Quality Standard" (GB3838-2002) and other standards, drawing on the experience of a large number of parameters to determine the urban river five Black-odor Rank.Determined by the actual characteristics of the river Black-odor river monitoring indicators, though analytic hierarchy process (AHP) determine the level of the weight of each index coefficient, reflected the lower degree of influence on the upper index.Taiyuan urban rivers in the dry season, water level monitoring period and the wet period that the mian dry season and water level monitoring period with mild and moderate Black-odor,the wet period was mainly in black and stinky critical state. Taiyuan city has been black-odor rating and level of the river black-odor are basically consistent, indicating extenics matter element analysis in the urban river black-odor application is feasible.


2019 ◽  
Vol 6 (1) ◽  
pp. 62
Author(s):  
I Wayan Eka Prastia ◽  
I Wayan Arta Wijaya ◽  
I Wayan Sukerayasa

The fires of peatlands on oil palm plantations are very vulnerable to occur in the dry season. Fires will arise due to a decrease in the surface of the water resulting in the top layer of peatland becoming dry. Manually monitoring ground level is very difficult. The solution is to make a remote water level monitoring prototype in order to be able to regulate irrigation on peat land and make the system open and close the irrigation door during the dry season and when the rainy season arrives. The design of groundwater level monitoring uses a program installed on the Arduino Uno microcontroller.Water level data is sent by prototype via GSM SIM 800L network, 8 level conditions that have been determined from a depth of 15 cm multiples of five so on to 55 cm. HC-SR04 Ultrasonic Sensor is a detector for water level. Data can be accessed at any time via SMS by sending "Check" to the prototype. The results of the tests performed indicated that the tool can function in accordance with the design and send information as well as receive monitoring orders.


Author(s):  
Krum Videnov ◽  
Vanya Stoykova

Monitoring water levels of lakes, streams, rivers and other water basins is of essential importance and is a popular measurement for a number of different industries and organisations. Remote water level monitoring helps to provide an early warning feature by sending advance alerts when the water level is increased (reaches a certain threshold). The purpose of this report is to present an affordable solution for measuring water levels in water sources using IoT and LPWAN. The assembled system enables recording of water level fluctuations in real time and storing the collected data on a remote database through LoRaWAN for further processing and analysis.


Sensors ◽  
2021 ◽  
Vol 21 (6) ◽  
pp. 1936
Author(s):  
Tsun-Kuang Chi ◽  
Hsiao-Chi Chen ◽  
Shih-Lun Chen ◽  
Patricia Angela R. Abu

In this paper, a novel self-optimizing water level monitoring methodology is proposed for smart city applications. Considering system maintenance, the efficiency of power consumption and accuracy will be important for Internet of Things (IoT) devices and systems. A multi-step measurement mechanism and power self-charging process are proposed in this study for improving the efficiency of a device for water level monitoring applications. The proposed methodology improved accuracy by 0.16–0.39% by moving the sensor to estimate the distance relative to different locations. Additional power is generated by executing a multi-step measurement while the power self-optimizing process used dynamically adjusts the settings to balance the current of charging and discharging. The battery level can efficiently go over 50% in a stable charging simulation. These methodologies were successfully implemented using an embedded control device, an ultrasonic sensor module, a LORA transmission module, and a stepper motor. According to the experimental results, the proposed multi-step methodology has the benefits of high accuracy and efficient power consumption for water level monitoring applications.


2021 ◽  
Vol 1772 (1) ◽  
pp. 012001
Author(s):  
Hedy Aditya Baskhara ◽  
Saipul Anwar ◽  
Abdurahman

Proceedings ◽  
2019 ◽  
Vol 48 (1) ◽  
pp. 30
Author(s):  
Luis Hamilton Pospissil Garbossa ◽  
Argeu Vanz ◽  
Matias Guilherme Boll ◽  
Hamilton Justino Vieira

The increasing frequency of extreme storm events has implications for the operation of sewer systems, storm water, flood control monitoring and tide level variations. Accurate and continuous monitor water level monitoring is demanded in different environments. Piezoelectric sensors are widely used for water level monitoring and work submerged in waters subject to the presence of solid particles, biological fouling and saltwater oxidation. This work aimed to develop a simple, low-cost methodology to protect sensors over long-term deployment. The results show that simple actions, costing less than 2 EUR, can protect and extend the lifecycle of equipment worth over 2000 EUR, ensuring continuous monitoring and maintaining quality measurements.


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