Sustainable Water Systems

Scholz, Miklas

doi:10.3390/w5010239

Cited by 8 publications

(4 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Sustainable water systems often comprise complex combinations of traditional and new system components that mimic natural processes. These green systems aim to protect public health and safety, and restore natural and human landscapes (Scholz., 2013;Gogate and Rawal., 2013). Without such sustainable water systems, a habitat or an environment is more prone to disasters such as flood and landslide.…”

Section: Sustainable Developmentmentioning

confidence: 99%

Reducing Runoff Volume by Increasing Rainfall Infiltration in the Inflitration Wells in Bandung Basin

Sugandi¹

2018

Preprint

View full text Add to dashboard Cite

show abstract

Section: Sustainable Developmentmentioning

confidence: 99%

Reducing Runoff Volume by Increasing Rainfall Infiltration in the Inflitration Wells in Bandung Basin

Sugandi¹

2018

Preprint

View full text Add to dashboard Cite

show abstract

“…Sustainable water systems often comprise complex combinations of traditional and new system components that mimic natural processes. [17][18][19] Urban run-off pollution is caused when the run-off while travelling across the urban environment, acquires contaminants that affect water quality. 20 The impact of land uses can cause significant changes in the hydrological regime of a river basin.…”

Section: Introductionmentioning

confidence: 99%

Decreasing the surface run-off through the rainfall absorption in Bandung Basin

Sugandi¹,

Pascawijaya²

2019

IJH

View full text Add to dashboard Cite

Expansion of built-up area was increasing the surface run-off. This research conducted in Bandung basin and aims to analyzing land use change, volume of rainfall that was not absorbed by built-up area and the attempts to decrease surface run-off volume in the built-up area. Method that used is spatial analysis. The formula calculates the volume of rain: Ih=LxK, and to measures the volume of rainfall: V=RxA. The built-up area changes from 458,507,000m 2 to 535,155,000m 2 . The results depict built-up area change from 458,507,000m 2 to 535,155,000m 2 . The built-up area expansion affected the increase in surface run-off from the average volume of 34,250,473m 3 to 39,079,976m 3 . The way to decrease the volume of flooding which continously increased is by absorbing the volume of rainfall in each built-up area of every 100m 2 . The highest rainfall volume in December has been up to 1,100m3 in order that each built-up area of 100m 2 have to absorb rainfall of 1,100m 3 in the infiltration wells. Because the built-up area is different, it is calculated from the thickness of the rainfall multiplied by large, then the volume of rainfall must be absorbed. By storing and absorbing the rainfall in each built-up area, the surface run-off could be avoided in the area of Bandung basin.

show abstract

“…Under the dual effects of climate change and human activities, many water bodies are polluted to varying degrees, further exacerbating water conflicts [1,2]. Ecosystem studies such as water enhancement, water quality risk assessment, and early warnings have drawn much attention across the world [3].…”

Section: Introductionmentioning

confidence: 99%

A Structurally Simplified Hybrid Model of Genetic Algorithm and Support Vector Machine for Prediction of Chlorophyll a in Reservoirs

Wang

Zhao³

et al. 2015

Water

View full text Add to dashboard Cite

With decreasing water availability as a result of climate change and human activities, analysis of the influential factors and variation trends of chlorophyll a has become important to prevent reservoir eutrophication and ensure water supply safety. In this paper, a structurally simplified hybrid model of the genetic algorithm (GA) and the support vector machine (SVM) was developed for the prediction of monthly concentration of chlorophyll a in the Miyun Reservoir of northern China over the period from 2000 to 2010. Based on the influence factor analysis, the four most relevant influence factors of chlorophyll a (i.e., total phosphorus, total nitrogen, permanganate index, and reservoir storage) were extracted using the method of feature selection with the GA, which simplified the model structure, making it more practical and efficient for environmental management. The results showed that the developed simplified GA-SVM model could solve nonlinear problems of complex system, and was suitable for the simulation and prediction of chlorophyll a with better performance in accuracy and efficiency in the Miyun Reservoir. OPEN ACCESSWater 2015, 7 1611

show abstract

Sustainable Water Systems

Cited by 8 publications

References 11 publications

Reducing Runoff Volume by Increasing Rainfall Infiltration in the Inflitration Wells in Bandung Basin

Reducing Runoff Volume by Increasing Rainfall Infiltration in the Inflitration Wells in Bandung Basin

Decreasing the surface run-off through the rainfall absorption in Bandung Basin

A Structurally Simplified Hybrid Model of Genetic Algorithm and Support Vector Machine for Prediction of Chlorophyll a in Reservoirs

Contact Info

Product

Resources

About