scholarly journals PROTECTION OF RIPARIAN FORESTS AND WATER QUALITY IN A BASIN IN THE ATLANTIC FOREST BIOME

FLORESTA ◽  
2021 ◽  
Vol 51 (2) ◽  
pp. 283
Author(s):  
Elenice Fritzsons ◽  
Luis Eduardo Mantovani
Keyword(s):  
Water Quality ◽  
Land Use ◽  
Atlantic Forest ◽  
Quality Parameters ◽  
Riparian Forests ◽  
Water Quality Parameters ◽  
Subtropical Climate ◽  
Land Uses ◽  
Forest Biome

AbstractThe water quality of a drainage basin depends on the vegetation and soil of the region, land use and riparian forests, which act as a filter to protect the watercourse. For three years, we monitored several water quality parameters (turbidity, color, pH, conductivity, dissolved solids, alkalinity, and nitrate and chloride concentrations) in six adjacent microbasins to assess how riparian forests and land use affect water quality. The location is part of the Atlantic forest biome, with high-altitude humid subtropical climate and mixed ombrophilous forests. We designed a land use charter of the basin and a conflict map for fluvial permanent preservation areas. Land use included mainly natural forests, forestry, buildings, agriculture, and pastures. The multiple correlation analyses included: the water quality parameters, conflicts with permanent preservation areas, and land uses in river basins. In 51% of the basin, land uses complied with fluvial PPA legislation, but in 49% we found conflicts with other land use typologies and a lack of riparian forests. The quality of the water changed throughout the seasons and when fluvial PPAs conflicted with agriculture, buildings, and pastures. The different land uses in the basins did not influence the parameters of water quality and the same occurred with precipitation on water quality.

scholarly journals Characteristics of Stormwater Quality in Singapore Catchments in 9 Different Types of Land Use

Water ◽  
2019 ◽  
Vol 11 (5) ◽  
pp. 1089 ◽  
Author(s):  
Haihong Song ◽  
Tingchao Qin ◽  
Jianbin Wang ◽  
Tony H. F. Wong
Keyword(s):  
Water Quality ◽  
Land Use ◽  
Suspended Solids ◽  
Quality Parameters ◽  
Statistical Analyses ◽  
The Other ◽  
Water Quality Parameters ◽  
Land Uses ◽  
Stormwater Quality ◽  
Global Data

Stormwater quality is well known for its highly stochastic nature and not necessarily well explained by mechanistic urban build up and wash off models. Therefore, local empirical data (based on land use) are an essential compliment to statistical analyses of global data. This paper reports on a large-scale monitoring of the 12 key water quality parameters of suspended solids, nutrients, and heavy metals for stormwater runoff in urban discharges from nine urban land uses with varying sizes in Singapore. It was found that, in general, the average of the event mean concentrations for total nitrogen, total phosphorus, total organic carbon, total suspended solids (TSS), and phosphate in parkland land use were higher than the other eight studied land uses. Based on Pearson’s correlation analysis, significant correlation between pairs of water quality parameters was observed. Particularly, there was significant correlation between TSS and most of the other tested water quality parameters in all land uses. A pollutant data set from this study will assist in developing appropriate stormwater quality models, guide the establishment of stormwater treatment objectives and preliminary designs for Singapore catchments, as well as provide an essential complement to statistical analyses of global data for stormwater characteristics.

scholarly journals Assessing the Impact of Land Use on Water Quality across Multiple Spatial Scales in U-tapao River Basin, Thailand

2015 ◽  
Vol 20 (2) ◽  
pp. 54-60 ◽  
Author(s):  
S. Gyawali ◽  
K. Techato ◽  
S. Monprapusson
Keyword(s):  
Water Quality ◽  
Land Use ◽  
River Basin ◽  
Spatial Scales ◽  
Buffer Zone ◽  
Quality Parameters ◽  
Water Quality Parameters ◽  
Geographical Information ◽  
Land Uses ◽  
The Impact

The study investigated the linkages between land uses and water quality in U-tapao river basin, Thailand, in order to examine the impact of land use changes on full -basin, sub-watershed and buffer zone scales (1000m, 500m and 200m) on river water quality through Geographical Information Systems (GIS) and statistical analyses. Correlation and regression analysis were applied for ten water quality parameters. In scale analysis, in the most cases, the sub-watershed scale showed the clear relationship between land use water quality rather than full-basin and buffer zone scales. This indicates that the level of relationship between land use and water quality depends upon scale therefore the relationship between water quality parameters and land uses should be studied in multiple scales and it helps to develop effective river basin management in future.Journal of Institute of Science and Technology, 2015, 20(2): 54-60

scholarly journals Impact of Changes in Land Use and Land Cover in the Contribution Basin of Doutor João Penido Water Supply Reservoir of Juiz de Fora, MG, Brazil

2021 ◽  
Vol 11 (1) ◽  
pp. 108
Author(s):  
Juliana Nazareth de Lana ◽  
Márcio de Oliveira ◽  
Vanessa Romario de Paula ◽  
Cézar Henrique Barra Rocha
Keyword(s):  
Water Quality ◽  
Land Use ◽  
Land Cover ◽  
Water Supply ◽  
Quality Parameters ◽  
E Coli ◽  
The City ◽  
Water Supply Reservoirs ◽  
Limnological Parameters

Changes in the land use and land cover in areas adjacent to water reservoirs directly affect the quality of this water. This research presents a study on the water quality in the basin of one of the most important public water supply reservoirs in the city of Juiz de Fora, Minas Gerais. The main objective of this study was to analyze the behavior of limnological parameters and the correlation with land use and land cover in the contribution basin of the Doutor João Penido reservoir (CBJPR). The methodology was based on the analysis of water quality parameters, related to water samples collected from 2012 to 2015. Six sampling points were chosen from different locations: spring, medium course, main tributaries of the reservoir and the reservoir catchment. The parameters analyzed were turbidity, total solids (TS), oxygen consumed (OC), dissolved oxygen (DO), electrical conductivity, total nitrogen (TN), total phosphorus (TP), E. Coli, temperature, pH and total dissolved solids (TDS). The Kendall’s tau test was used to analyze the correlations between the parameters of water quality, land use and land cover in the CBJPR. In general, measured parameters showed better results in spring and in reservoir catchment, showing a worse quality of the water along the tributaries and the dilution power of the reservoir. The correlations pointed to the need for protection and preservation of forests in strategic locations to ensure good water quality.

scholarly journals The effect of land-use change on river watershed quality (case study: Cimahi Watershed, West Java, Indonesia)

2021 ◽  
Vol 933 (1) ◽  
pp. 012010
Author(s):  
S A Nurhayati ◽  
M Marselina ◽  
A Sabar
Keyword(s):  
Water Quality ◽  
Land Use ◽  
Land Use Change ◽  
Pearson Correlation ◽  
Land Use Changes ◽  
Quality Parameters ◽  
Water Quality Parameters ◽  
Watershed Area ◽  
Watershed Land Use ◽  
Main River

Abstract Increasing population growth is one of the impacts of the growth of a city or district in an area. This also happened in the Cimahi watershed area. As the population grows, so does the need for land which increases the land-use change in the Cimahi watershed. Land-use changes will affect the surrounding environment and one of them is the river, especially river water quality. As a watershed area, there is one main river that is the source of life as well as the Cimahi watershed, whose main river is the Cimahi River. The purpose of this study was calculated the relationship between land-use change in the Cimahi watershed and the water quality parameters of the Cimahi River. The correlation between the two was calculated using Pearson correlation. Water quality parameters can be seen based on BOD and DO values. BOD and DO values are the opposite because good water quality has high DO values and low BOD values. The correlation between land-use change and BOD was 0.328 is in the area of settlements area. In contrast, to DO values, an increase in settlements/industrial zones will further reduce DO values so that both have a negative correlation, which is indicated by a value of -0,535. The correlation between settlements with pH and temperature values is 0.664 and 0.812. While the correlation between settlements with TSS and TDS values are 0.333 and 0.529, respectively. In this study, it can be seen that there is a relationship between the decline in water quality and changes in land use.

Mitigating environmental risks: Modeling the interaction of water quality parameters and land use cover

2020 ◽  
Vol 95 ◽  
pp. 103766 ◽  
Author(s):  
Mohsen Mirzaei ◽  
Ali Jafari ◽  
Mehdi Gholamalifard ◽  
Hossein Azadi ◽  
Sharif Joorabian Shooshtari ◽  
...  
Keyword(s):  
Water Quality ◽  
Land Use ◽  
Quality Parameters ◽  
Environmental Risks ◽  
Water Quality Parameters

scholarly journals Investigation of surface water quality of the Buriganga river in Bangladesh: Laboratory and spatial analysis approaches

2019 ◽  
Vol 28 (2) ◽  
pp. 147-158
Author(s):  
Mohammad Saiful Islam ◽  
Romana Afroz ◽  
Md Bodruddoza Mia
Keyword(s):  
Heavy Metals ◽  
Water Quality ◽  
Quality Standard ◽  
Quality Parameters ◽  
Average Concentration ◽  
Water Quality Parameters ◽  
Economic Implications ◽  
Permissible Limits ◽  
Buriganga River

This work has been conducted to evaluate the water quality of the Buriganga river. In situ water quality parameters and water samples were collected from 10 locations in January 2016 and analyzed later in laboratory for water quality parameters such as pH, Eh, EC, TDS, cations (Na+, K+, Ca2+, Mg2, As3+), anions (Cl-, HCO3-, NO2-, NO3-, SO42-, F-, Br-, PO43-), heavy metals (Cr2+, Pb2+, Zn2+, Cd+2, Fe2+, Mn2+) to see whether or not the level of these parameters are within the permissible limits. The average values of pH, Eh, EC and temperature were 7.31, –214.9 mV, 928.9 μs/cm and 21.4°C, respectively; the average concentration of Na+, K+, Ca2+, Mg2+, and As3+ were 109.62, 13.38, 46.78, 13.98 and 0.018 mg/l, respectively, while the concentrations of Cl-,HCO3-, PO43-, SO42-, NO3-, NO2-, F and Br -were 79, 331.06, 2.22, 84.32, 0.0254, 0.058, 0.224 and 0.073 mg/l, respectively; and the concentration of heavy metals Pb2+, Zn2+, Fe2+ and Mn2+were 0.28, 0.053, 0.17 and 0.23 mg/l, respectively. The study indicates that most of the parameters are within the permissible limits set by Bangladesh water quality standard. The concentrations of K+, Mn2+, and Pb2+ were beyond the permissible limits meaning that that the water of Buriganga is not safe for drinking. The people living beside Buriganga river should be more cautious about using the polluted/contaminated river water. The concerned authorities should take urgent necessary steps to improve the degraded water quality of the river considering the ecological, environmental and economic implications associated with it. Dhaka Univ. J. Biol. Sci. 28(2): 147-158, 2019 (July)

scholarly journals Effects of Opened and Closed Spillway Operations of a Large Tropical Hydroelectric Dam on the Water Quality of the Downstream River

2019 ◽  
Vol 2019 ◽  
pp. 1-11 ◽  
Author(s):  
Fiona-Annilow Wera ◽  
Teck-Yee Ling ◽  
Lee Nyanti ◽  
Siong-Fong Sim ◽  
Jongkar Grinang
Keyword(s):  
Water Quality ◽  
River Basin ◽  
Aquatic Organisms ◽  
Quality Parameters ◽  
Regulated River ◽  
Land Uses ◽  
Hydroelectric Dam ◽  
Water Ph ◽  
The Impact

Water quality downstream of a hydroelectric dam is potentially affected by dam operations and other land uses in the river basin. Previous short-distance studies below the large Bakun Dam indicated poorer water quality during closed spillway. However, the extent of the impact is still unknown. Such knowledge is essential for mitigating the impact of the dam. Thus, the objectives of this study were to determine the water quality up to a distance of 210 km under two spillway operations, namely, closed and opened spillways, and also to determine the changes in water quality from the predam condition. Physicochemical parameters were measured at 15 stations along the Rajang River. Results of this preliminary study indicated that there were significant differences in eight out of nine water quality parameters between opened and closed spillway operations with opened spillway showing better water quality. During closed spillway, as we approached the dam, there was an increasing acidity and a decreasing oxygen content. Furthermore, as the water flows downstream, the unhealthy DO level (<5 mg/L) extended up to 165 km and the linear model showed an increasing DO rate of 0.09 mg/L per km. With opened spillway, DO decreased exponentially from 9.74 mg/L towards the downstream direction to 7.67 mg/L. The increasing turbidity and TSS in the downstream direction indicate contributions from erosion due to other land uses. The river is polluted with organics as indicated by COD of Class IV or V with sources from the dam and the activities in the river basin. Compared to the predam condition, the regulated river is less turbid but warmer and higher in ammonia. Closed spillway led to lower DO and acidic water. However, opened spillway water pH and DO were similar to those in the predam condition. Thus, it is recommended that DO be consistently high enough for the health of sensitive aquatic organisms downstream.

scholarly journals Trend Of Water Quality Status In Kelantan River Downstream, Peninsular Malaysia

2020 ◽  
Vol 16 (3) ◽  
pp. 178
Author(s):  
Arniza Fitri ◽  
Khairul Nizam Abdul Maulud ◽  
Dian Pratiwi ◽  
Arlina Phelia ◽  
Farli Rossi ◽  
...  
Keyword(s):  
Water Quality ◽  
Land Use ◽  
Water Samples ◽  
Human Activities ◽  
Oxygen Demand ◽  
Quality Parameters ◽  
Peninsular Malaysia ◽  
Water Quality Status ◽  
Quality Status

The issues of freshwater pollutions and the high demand of clean freshwater for daily human activities have forced developing countries such as Malaysia to continuously monitor the quality of the freshwater. The present study objective is to present the trend of water quality status in the Kelantan River downstream, Peninsular Malaysia from 2005 to 2018. Water samples were collected during dry and monsoon seasons from a sampling station located at downstream of the Kelantan River. Water quality parameters such as temperature, pH and dissolved oxygen (DO) were measured in situ while other parameters were analysed in the laboratory based on retrieved water samples. Water quality status was determined based on National Water Quality Standard (NWQS) for River in Malaysia by calculating the water quality index (WQI) according to the concentration of six water quality parameters involving pH, dissolved oxygen (DO), biochemical oxygen demand (BOD), chemical oxygen demand (COD), suspended solids (TSS) and Ammonia Nitrogen (AN). The results showed that Kelantan River had good water quality during the dry season classified in Class II at 2005. The water quality was found to be slightly lower during the monsoon season in year 2006. In addition, increasing the number of construction, human activities in the land use areas, land use changes and the sewage water from domestic, industrial, wet market and food outlets in the Kelantan State have declined the water quality in Kelantan River from Class II (in 2005) to Class III (in 2010 and 2011) and to become Class IV in 2017 to 2018. The results of the present study are expected to give valuable information for the water managers in order to deal with better strategies in controlling the quality of freshwater at the Kelantan River and minimize the incidence of pollution-oriented problems, thus the water can be utilized for various water uses with appropriate quality.

scholarly journals Assessment of Water Quality Parameters of Meghna River Kishoreganj, Bangladesh

2020 ◽  
pp. 29-37
Author(s):  
Romana Rima ◽  
Abdullah Al Ryhan ◽  
Sony Ahmed ◽  
Rafiq Islam ◽  
Sharif Hossain Munshi ◽  
...  
Keyword(s):  
Water Quality ◽  
Winter Season ◽  
Surface Water Quality ◽  
Quality Parameters ◽  
Water Quality Parameters ◽  
Chemical Parameters ◽  
Potential Threat ◽  
Three Rivers ◽  
The Ganges

The Meghna River is one of the most important rivers in Bangladesh, one of the three rivers, the Ganges delta, and the largest delta in the world in the Bay of Bengal. The water quality of Meghna has become a matter of concern due to serious levels of pollution. The present study was conducted to assess the surface water quality of upstream of the Meghna River using physic-chemical parameters in summer and winter season at five different points. Water quality was evaluated by laboratory analysis considering a total of six water quality parameters, pH, DO, BOD, COD, salinity and TDS and water samples were collected from five stations. The study indicates that some parameters exceed the permissible limit for drinking purpose, it may cause potential threat to the human, but the water of this river is not immediate threat to human or ecosystem.

scholarly journals Implementation of Long-Short Term Memory Neural Network (LSTM) for Predicting The Water Quality Parameters in Sungai Selangor

2021 ◽  
Vol 6 (4) ◽  
pp. 40-49
Author(s):  
Nur Natasya Mohd Anuar ◽  
Nur Fatihah Fauzi ◽  
Huda Zuhrah Ab Halim ◽  
Nur Izzati Khairudin ◽  
Nurizatul Syarfinas Ahmad Bakhtiar ◽  
...  
Keyword(s):  
Water Quality ◽  
Short Term Memory ◽  
Oxygen Demand ◽  
Quality Parameters ◽  
Water Quality Parameters ◽  
Short Term ◽  
Term Memory ◽  
Quality Of Water ◽  
Long Short Term Memory

Predictions of future events must be factored into decision-making. Predictions of water quality are critical to assist authorities in making operational, management, and strategic decisions to keep the quality of water supply monitored under specific criteria. Taking advantage of the good performance of long short-term memory (LSTM) deep neural networks in time-series prediction, the purpose of this paper is to develop and train a Long-Short Term Memory (LSTM) Neural Network to predict water quality parameters in the Selangor River. The primary goal of this study is to predict five (5) water quality parameters in the Selangor River, namely Biochemical Oxygen Demand (BOD), Ammonia Nitrogen (NH3-N), Chemical Oxygen Demand (COD), pH, and Dissolved Oxygen (DO), using secondary data from different monitoring stations along the river basin. The accuracy of this method was then measured using RMSE as the forecast measure. The results show that by using the Power of Hydrogen (pH), the dataset yielded the lowest RMSE value, with a minimum of 0.2106 at station 004 and a maximum of 1.2587 at station 001. The results of the study indicate that the predicted values of the model and the actual values were in good agreement and revealed the future developing trend of water quality parameters, showing the feasibility and effectiveness of using LSTM deep neural networks to predict the quality of water parameters.

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