Using a water quality index to assess the water quality of the upper and middle streams of the Luanhe River, northern China

Tian, Yulu; Jiang, Yuan; Liu, Qi; Dong, Manyu; Xu, Dingxue; Liu, Yang; Xu, Xia

doi:10.1016/j.scitotenv.2019.02.356

Cited by 151 publications

(81 citation statements)

References 36 publications

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“…Pencemaran air sungai masih menjadi masalah di negara maju dan berkembang yang diakibatkan oleh proses alami dan aktivitas antropogenik. Memburuknya kualitas air sungai telah mengancam pasokan air bersih dan kesehatan ekosistem perairan (Tian et al, 2019). Oleh karena itu, diperlukan pemahaman tentang penilaian dan pengelolaan sumberdaya air tawar.…”

Section: Pendahuluanunclassified

“…Beberapa tahun terakhir, metode WQI (Water Quality Index) banyak digunakan untuk menilai kualitas air dan hasilnya sangat berguna bagi masyarakat dan pembuat kebijakan (Tian et al, 2019). Metode WQI merupakan instrumen matematis sederhana yang mengintegrasikan beberapa parameter ke dalam satu angka, sehingga hasilnya dapat dipahami, memberikan gambaran yang komprehensif mengenai status kualitas air dan tidak banyak memakan biaya (Abbasi and Abbasi, 2012;Noori et al, 2019;Tian et al, 2019).…”

Section: Pendahuluanunclassified

“…Metode WQI telah banyak dikembangkan di berbagai negara untuk menilai air permukaan, seperti WQImin digunakan di danau Taihu (Wu et al, 2018), NSFWQI di sungai Luanhe (Tian et al, 2019), dan metode Weighted Arithmetic Index di sungai Kolong (Bora and Goswami, 2017). Kementerian Lingkungan Hidup di Indonesia telah mengadopsi dan menggunakan dua indeks kualitas air, yaitu Indeks Storet dan Indeks Pencemaran (IP).…”

Section: Pendahuluanunclassified

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Evaluation of Water Quality Using Pollution Index in Cimanuk Watershed, Indonesia

Nurrohman

Widyastuti

Suprayogi

2019

EJES

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Land use is one of the macro parameters that affects water quality in a watershed. The Cimanuk watershed which is dominated by agricultural land use and settlements has encountered a decline in water quality. There are eight parameters including pH, TDS, TSS, Nitrate, Phosphate, Sulphate, BOD, and COD analyzed to evaluate water quality utilizing the Pollution Index (IP) method. This research has provided a clear understanding of the status of water quality in the Cimanuk watershed based on six monitoring points carried out at the start of the 2018 rainy season. Overall, the IP values obtained ranged from 2.05 to 5.96 with the lightly polluted category at points A, B, C, D, and E, while for point F it was in the moderately polluted category. The key parameters that have the most influence on water quality pollution are Nitrate, Phosphate, Sulphate from fertilization activities in agricultural land, while runoff from settlements contribute to increasing parameters of BOD and COD. These results can be beneficial for sustainable management of water and land resources in the Cimanuk watershed.

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Section: Pendahuluanunclassified

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Evaluation of Water Quality Using Pollution Index in Cimanuk Watershed, Indonesia

Nurrohman

Widyastuti

Suprayogi

2019

EJES

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“…Rivers in the city, serving as reliable surface water sources, are important natural geographical elements and ecological corridors in urban landscape, beneficial to public health and ecological environment [1][2][3]. The degradation of river water quality of watershed has become a global environmental issue in recent years [4,5], which is proved to be attributed to many natural and anthropogenic factors in watershed landscapes [6][7][8].…”

Section: Introductionmentioning

confidence: 99%

Effects of Landscape Development Intensity on River Water Quality in Urbanized Areas

et al. 2019

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Urban development and human activities have greatly changed the appearance of urban landscapes, and also affect urban river water environments. Rapidly urbanized regions in China face particularly severe pressures and challenges in alleviating degradation of river water quality. Information is needed on which indexes of landscape development intensity in rapidly-urbanized areas are the key factors affecting the quality of river water environments, and how these factors affect water quality. In order to answer these questions, this research selected six indexes belonging to three dimensions for landscape development intensity evaluation. Based on five water quality parameters of 20 rivers and the land use data of 20 small watersheds of Liangjiang New Area, Chongqing, China in 2014, this research explored the correlation between the landscape development intensity indexes and river water quality through redundancy analysis. We found that the impervious surface rate and the land average fixed asset investment are the key indexes to affect river water quality. Regulating the corresponding indexes at the urban planning and design level, as well as the decision making level, can effectively achieve the goal of improving urban river water quality. The conclusions inspire strategies in planning and design, and are helpful for government decision making to effectively protect river water environment in rapidly urbanized areas in the developing countries.

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“…The different indices have been developed that depend on sub‐index values, weights of each parameter, and aggregation of sub‐indices . The determination of weights changes due to the water quality indices, the effects of each parameter on water quality appear to be varying since some of them have equal weights while others have non‐equal weights . To selection weighing of parameters and aggregation of sub‐indices, Delphi, and additive or multiplicative methods are commonly used .…”

Section: Introductionmentioning

confidence: 99%

Assessing Water Quality of Mamasın Dam, Turkey: Using Water Quality Index Method, Ecological and Health Risk Assessments

Baştürk

2019

CLEAN Soil Air Water

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The water quality of Mamasın Dam, the drinking water source for Aksaray in Turkey, is investigated for assessment of ecological and health risks according to data between December 2015 and November 2016. Water quality index, ecological risk, and health risk assessments are determined to depend on the intensity of occurrence of parameters and seasonal and spatial distributions at different depth ranges. As a result, some ions such as Al, As, B, Ba, Co, F, Mn, Ni, Pb, Se, and Zn were found to be exceeding the limit values of the national regulatory standards. Besides, Pb is listed in Priority Substances and Certain Other Pollutants according to Annex II. Because the WQI values of the water quality are low (below 60), the source is suitable for industrial and agricultural usage; however, it cannot be used for drinking water supply without treatment. The trace element levels, especially Ag, Ba, Cu, Cr, and Zn, are potential pollutants for organisms. The non‐carcinogenic health risks of As threaten both adults and children at “medium” and “high” levels through oral ingestion. The B, F, and Pb elements have Hazard Index values above 0.1 and may cause a “low” level risk chronic disease for children by oral ingestion.

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Using a water quality index to assess the water quality of the upper and middle streams of the Luanhe River, northern China

Cited by 151 publications

References 36 publications

Evaluation of Water Quality Using Pollution Index in Cimanuk Watershed, Indonesia

Evaluation of Water Quality Using Pollution Index in Cimanuk Watershed, Indonesia

Effects of Landscape Development Intensity on River Water Quality in Urbanized Areas

Assessing Water Quality of Mamasın Dam, Turkey: Using Water Quality Index Method, Ecological and Health Risk Assessments

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