Asian Journal of Water, Environment and Pollution

Indonesian batik has been a cultural product for a hundred years. Its recognition as an intangible heritage has led its production to bring benefits in economic terms. However, there are environmental problems indicated by its production, and one of which is the water use. It is common to find information regarding the pollution caused by batik production. However, studies on water footprint of batik could bring insight that batik problem in relation to water doesn’t limit solely to pollution, but also to the huge volume of water consumed during batik production. In this understanding, the WF approach, both consumptive and degradative water use, is important. Although studies on batik WF have been conducted, it is still limited. This paper discusses the challenges faced in exploring batik WF based on field experience. An understanding of batik itself and batik SME characteristics are required because they are closely related to the WF of the process. Finally, this paper explains the conceptual and technical challenges that will be faced during the study of batik WF.

Widhi Handayani

Djoko Suwarno

Budi Widianarko

Asian Journal of Water Environment and Pollution

Challenges on Water Footprint (WF) Accounting of Batik Production: A Reflection from the Study on Batik SMEs in Jarum Village, Klaten Regency, Indonesia

蜡染生产水足迹核算的挑战：来自印尼克拉滕县贾鲁姆村蜡染中小企业研究的反思

The Ain Zada dam is experiencing a deficit in recent years due to scanty precipitation and reduced water flow, resulting in the dam’s water reserve dropping to 8.3%. Our study’s primary objective is to assess the quality of both untreated (raw) and treated water from the Ain Zada dam by conducting physico-chemical analyses on both samples. Based on the findings, the physico-chemical quality of the treated water is deemed satisfactory, as all samples adhere to Algerian standards. The treated water exhibits an organic matter concentration of 4.94 mg/l, which is the chief contributor to the unfavourable odour and taste of the dam water. To address this, enhancements will be made to the Ain Zada dam treatment station this year through the adoption of a novel ozone disinfection method (ozonation). The Water Quality Index (WQI) for treated water from the Ain Zada dam indicates a favourable suitability for drinking water production from February to May 2022. Two quality categories are discernible for each scenario based on the obtained WQI values: excellent and good for treated water, and excellent and poor for raw water. Water quality diminishes notably in April, where the treated water quality index rises (25 &lt; WQI . 50), while the raw water’s quality classifies as poor (WQI &gt; 50). The decline in water quality during this month can be attributed to stream variations, agricultural activities, and urban wastewater discharges. Consequently, it is imperative to prioritise the reduction of these pollution sources to safeguard water resources and enhance water quality within the watershed.

Salamani Amel

Ladjal Mohamed

Bahlouli Fayçal

Chourghal Nacira

Benaini Mohammed

Assessment of the Physico-Chemical Quality of Untreated and Treated Water Using Water Quality Index (WQI) in the Ain Zada Dam, East Algeria

评估阿尔及利亚东部Ain Zada大坝中未处理和处理水的物理化学质量使用水质指数（WQI）

The research paper investigates the intricate nexus between economic factors and sustainable consumption behaviour, providing a nuanced exploration of how such considerations shape an individual’s choice in the realm of environmental responsibility. Drawing on established theories of consumer behaviour and sustainability, this study employs a positivist approach encompassing quantitative surveys and analysis. It scrutinises the effects of prices, expectations and other broader economic conditions on the adoption of sustainable practices. The findings contribute significantly to the existing body of knowledge by providing a holistic understanding of the economic levers instrumental in driving towards sustainable consumption like taste and preferences and price or hindering the shift towards sustainable consumption like societal behaviour and availability of alternatives. This research aims to inform policymakers, businesses and consumers alike, facilitating the development of targeted interventions and initiatives that foster a harmonious convergence of economic and ecological goals.

Parul Oberoi

Jitender Bhandari

Evaluating the Role of Economic Factors in Sustainable Consumption Behaviour

评估经济因素在可持续消费行为中的作用

The power of the hydrological cycle is enormous, sometimes devastating, but when it is utilised wisely, its negative impacts on humankind can be mitigated. Catastrophic floods and droughts are boosted by the world climate change. Hence, water management programs came into effect. On the other hand, energy production plays a major role in the country’s economic development. So, studies have come up with many ideas to ameliorate disasters especially floods through building mini, small, and large hydro-power plants against the rivers. This study presents a feasibility analysis of flood management and energy production in the Madupetty River, Kerala, India. Even though there are other dams in the Madupetty River, Mudirappuzha basin, the old Headwork built for a hydroelectric project, needs capacity augmentation. This study looks at ways to optimise the Maduppetty River’s water distribution system by building a dam-toe powerhouse where flood water can be stored and utilised when needed. Detailed analysis and design of the hydro-power station is presented. Rainfall runoff equations are used to assess the inflow for power potential studies. During flooding, the projected dam can hold 20.42 MCM of water. From this study, the dam toe powerhouse and cascade powerhouses will create 7.12 Mu and 90 Mu.

V. Johnpaul

G. Venkatesan

V. Vinoth

Feasibility Assessment of Medium-Scale Hydro-Power Plant – Case Study in Kerala, India

中尺度水电站可行性评估——以印度喀拉拉邦为例

The rate of horizontal spread of phenanthrene applied in a plot of land of sandy loam texture is determined in a field experiment of four months duration under natural environment. Efforts were made to study the effect of different physico-chemical parameters of the soil sample on the horizontal spread of phenanthrene. The concentration of the hydrocarbon at different points of time was determined by high-performance liquid chromatographic analysis of soxhlet extract of soil samples drawn from different distances from the point of application of the hydrocarbon. Simultaneously, internal samples were also analysed in order to detect the efficiency of the process of extraction and the extent of degradation during the study period. The ambient temperature of the place of the experiment was in the range of 23.6 to 35.5°C, which is suitable for microbial activities. From the internal experiment, it was found that there was a 36% loss of phenanthrene which indicates degradation during these four months of the experiment. It has been found that most of the Phenanthrene molecules move a distance of 15 cm from the point of application in the first 60 days. As such the most probable rate of horizontal spread became 2.89 × 10-8 m s-1.

Niranjan Phukon

Ambarish Dev Goswami

Bidya Chakravorty

Prahash Chandra Sarma

Most Probable Rate of Horizontal Spread of Phenanthrene in a Sandy Loam Soil Under Natural Environment

天然环境下砂质壤土中菲水平扩散的最可能速率

V. Subramanian

Editorial

社论

The study aimed to examine the environmental implications of landscape sculptures in Enugu, with the objective of examining the historical record and awareness of the cultural connotation of Landscape sculptures to the city development. Based on a qualitative approach, this study examines six landscape sculptures situated in the central business district of the city. The study employs mainly the primary sources of data which include; site visits and interviews, focus group discussions, and secondary data such as Archives and internet search engines. Using a purposive and simple random sampling technique, a sample size of 60 community elders and youth were interviewed through focus group discussion (FGD), and oral interview with the aid of a questionnaire. Data were qualitative and quantitative analysed. Findings identified six major landscape sculptures without and with cultural connotations; the Otigba Statue, the White Lion statue, and the status of Park Lane hospital, while others; were sculptures of the three wise monkeys, coal miners, and Edward Anike statue. Findings discovered that more than 90% of the youth are not aware of the historic record and connotation of the landscape sculptures in the city. Keys findings show non-marketable values of environmental implication. The Chi-square result (X2 = P-Sig &gt; 0.05) shows that the environmental implications of the sculpture landscape have no statistical relationship to the economic value of city development, but the non-marketable values show a positive implication of environmental and social implications to city development. The study suggests public enlightenment to enhance landscape sculpture preservation. Further examination of landscape sculpture preservation techniques should be considered for sustainable city development.

None Chukwurah

Gladys Ogochukwu

Aguome Njideka Maryclara

Ifeanyichukwu Nwafor

Azani Nwabukwu Ubaka

Aso Nkiruka Evangeline

Evidence Chinedu Enoguanbhor

Dubem Ugwu

Environmental Implications of Sculpture Landscape in Ancient Cities with Reference to Enugu, Nigeria

尼日利亚埃努古古代城市雕塑景观的环境影响

Water quality assessment is essential for safeguarding public health and protecting water resources. This study focused on predicting water quality, specifically the presence of total coliforms, using various machine-learning techniques. The present study utilises a publicly available dataset encompassing the geographical area of India consisting of various physical water quality parameters. Various regression techniques were applied to the dataset after appropriate pre-processing including feature selection and normalisation. The findings demonstrate that gradient boosting regression outperforms other methods, achieving high accuracy with mean absolute error (MAE) of 0.0349, mean squared error (MSE) of 0.0038, and root mean squared error (RMSE) of 0.0620. Conductivity and temperature emerged as the most influential factors in total coliform prediction, as revealed by feature importance analysis. These results contribute to water quality understanding, aiding water resource management for public health protection. By accurately predicting total coliform presence, proactive measures can be taken timely to mitigate and minimise health risks associated with microbial contamination.

Ishleen Kaur

Archa Gulati

Puneet Singh Lamba

Achin Jain

Harsh Taneja

Jessica Singh Syal

Water Quality Assessment using Machine Learning: A Focus on Coliform Prediction in Water

基于机器学习的水质评估：重点关注水中大肠菌群预测

The study was conducted to evaluate the heavy metal contamination levels in the roadside soil of Aizawl, Mizoram (India). Twelve sites were sampled monthly from August 2020 to July 2021, and concentrations of copper (Cu), iron (Fe), manganese (Mn), nickel (Ni), lead (Pb), and zinc (Zn) were analyzed using atomic absorption spectrometer. The concentrations of heavy metals at the twelve studied sites varied widely from 0.43-1.06, 20.54-21.21, 2.69-3.41, 0.25-0.54, 0.31-0.49 and 1.35-1.77 for Cu, Fe, Mn, Ni, Pb, and Zn respectively. Pollution assessment tools such as the pollution load index, geo-accumulation index, and enrichment factor indicated moderate pollution levels. The study also observed fluctuations in the contamination levels due to the monsoon rainfall and the COVID-19 pandemic lockdown. Principal component analysis identified vehicular emissions, industrial activities, and atmospheric deposition as the potential sources of heavy metal contamination, with varying patterns observed at each site. While the observed heavy metal concentrations generally met permissible limits, the elevated levels suggested anthropogenic influences. It is crucial to continuously monitor and manage heavy metal contamination to mitigate potential health risks associated with heavy metal exposure.

Gospel Lallawmzuali

Angom Sarjubala Devi

None Thanhmingliana

Vanlal Hriatsaka

Anil Pratap Singh

C. Lalhriatpuia

Assessment of the Heavy Metal Contaminations of Roadside Soil in Aizawl, Mizoram (India): An In-Depth Analysis Utilising Advanced Scientific Methodologies

印度米佐拉姆邦艾扎尔路边土壤重金属污染评估：利用先进科学方法的深入分析

The study investigated the effect of two types of microorganisms: Pseudomonas aeruginosa and Klebsiella pneumoniae, which were diagnosed after being isolated from contaminated soils in Al-Dora refinery. The experiment continued for seven days where tests were implemented on the 1, 3, 5, and 17 days in addition to the control sample to study. The abilities of these bacteria in the treatment of oil compounds and the efficiency of these types of bacteria were studied in the removal and decomposition of these contaminants. P. aeruginosa bacteria were efficient in reducing the value of hydrocarbons in the medium with 65.48% and the lowest efficiency of K. pneumoniae was 52.41%. P. aeruginosa showed their ability to reduce electrical conductivity at 61.10%, reduce biomass at 72.81% and reduce salinity at 62.9%. While K. pneumoniae proved a decrease in the value of hydrocarbons at 52.41%, electrical conductivity at 35.5%, biomass at 60.02%, and salinity at 50.05%. The conclusion proved that P. aeruginosa bacteria are more efficient than K. pneumoniae bacteria in breaking and removing pollutants. This indicates the possibility of using microorganisms of various types to treat and remove much of the waste of laboratories and factories in the future.

Raad Abdul Hadi Nayyef

The Potential of Some Bacteria for Fuel Residue Removal From Dora Refinery Remnants

某些细菌在去除多拉炼油厂残留燃料方面的潜力

短名	AJW
Journal Impact	0.27
国际分区	ENVIRONMENTAL SCIENCES(Q4)

ISSN	0972-9860, 1875-8568
h-index	17

涉及主题	生物环境科学生态学工程类地质学化学地理有机化学物理计算机科学岩土工程环境化学环境工程材料科学废物管理经济医学古生物学量子力学历史
出版信息	出版商: IOS Press BV，出版周期: ，期刊类型: journal，开源期刊: 否
基本数据	创刊年份: 2011，原创研究文献占比: 96.47%，自引率:25.00%， Gold OA占比: 0.00%

Asian Journal of Water, Environment and Pollution

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