scholarly journals Influence of Landscape Structures on Water Quality at Multiple Temporal and Spatial Scales: A Case Study of Wujiang River Watershed in Guizhou

Water ◽  
2019 ◽  
Vol 11 (1) ◽  
pp. 159 ◽  
Author(s):  
Guoyu Xu ◽  
Xiaodong Ren ◽  
Zhenhua Yang ◽  
Haifei Long ◽  
Jie Xiao

Water quality is highly influenced by the composition and configuration of landscape structure, and regulated by various spatiotemporal factors. Using the Wujiang river watershed as a case study, this research assesses the influence of landscape metrics—including composition and spatial configuration—on river water quality. An understanding of the relationship between landscape metrics and water quality can be used to improve water contamination predictability and provide restoration and management strategies. For this study, eight water quality variables were collected from 32 sampling sites from 2014 through 2017. Water quality variables included nutrient pollutant indicators ammoniacal nitrogen (NH3-N), nitrogen (NO3−), and total phosphate (TP), as well as oxygen-consuming organic matter indicators COD (chemical oxygen demand), biochemical oxygen demand (BOD5), dissolved oxygen (DO), and potassium permanganate index (CODMn). Partial least squares (PLS) regression was used to quantitatively analyze the influence of landscape metrics on water quality at five buffer zone scales (extending 3, 6, 9, 12, and 15 km from the sample site) in the Wujiang river watershed. Results revealed that water quality is affected by landscape composition, landscape configuration, and precipitation. During the dry season, landscape metrics at both landscape and class levels predicted organic matter at the five buffer zone scales. During the wet season, only class-level landscape metrics predicted water contaminants, including organic matter and nutrients, at the middle three of five buffer scales. We identified the following important indicators of water quality degradation: percent of landscape, edge density, and aggregation index for built-up land; aggregation index for water; CONTAGION; COHESION; and landscape shape index. These results suggest that pollution can be mitigated by reducing natural landscape composition fragmentation, increasing the connectedness of region rivers, and minimizing human disturbance of landscape structures in the watershed area.

2019 ◽  
Vol 9 (6) ◽  
pp. 1053
Author(s):  
Ziqi Bian ◽  
Lyuyi Liu ◽  
Shengyan Ding

The evidence for a correlation between landscape patterns and surface water quality is still weak. We chose the Yi River watershed in China as a study area. We selected and determined the chemical oxygen demand, ammonia nitrogen, total phosphorus, dissolved oxygen, and electric conductivity to represent the surface water quality. We analyzed the spatial distribution of the surface water quality. Buffer zones with five different radii were built around each sampling site to analyze landscape patterns on different scales. A correlation analysis was completed to examine the influencing rules and the response mechanisms between landscape patterns and surface water quality indicators. The results show that: (1) Different landscape composition types impact the surface water quality differently and increasing the area of forest land can effectively reduce non-point source pollution, (2) an increase in urban area may threaten the surface water quality, and (3) landscape compositional change has a greater influence on surface water quality compared to landscape configurational change. This study provides a scientific foundation for the spatial development of watersheds and outlines a strategy for improving the sustainability of surface water quality and the surrounding environment.


2020 ◽  
Vol 15 (1) ◽  
pp. 65-72 ◽  
Author(s):  
António Fernandes ◽  
Lisa Martins ◽  
Luís Fernandes ◽  
Rui Cortes ◽  
Fernando Pacheco

2009 ◽  
Vol 43 (6) ◽  
pp. 1755-1765 ◽  
Author(s):  
Baiyang Chen ◽  
Seong-Nam Nam ◽  
Paul K. Westerhoff ◽  
Stuart W. Krasner ◽  
Gary Amy

2017 ◽  
Vol 33 (10) ◽  
pp. 1539-1552 ◽  
Author(s):  
A. L. Collins ◽  
Y. Zhang ◽  
S. McMillan ◽  
E. R. Dixon ◽  
A. Stringfellow ◽  
...  

2020 ◽  
Vol 8 (4) ◽  
pp. 309-315
Author(s):  
Dilia Puspita Asih ◽  
Churun Ain ◽  
Niniek Widyorini

Sungai Banjir Kanal Barat dan Silandak merupakan sungai besar yang berada di Kota Semarang. Terdapat berbagai aktivitas di sepanjang aliran sungai tersebut, diantaranya aktivitas domestik dan industri dimana buangan limbah masuk ke dalam badan sungai sehingga menyebabkan penurunan kualitas perairan. Salah satu mikroorganisme yang terkandung dalam limbah domestik yang berperan sebagai indikator pencemaran yaitu bakteri coliform sehingga perlu dilakukan perhitungan total coliform guna mengetahui adanya pencemaran di Sungai Banjir Kanal Barat dan Silandak. Tujuan dari penelitian ini adalah untuk mengetahui kelimpahan total coliform, status mutu air berdasarkan PP Nomor 82 Tahun 2001 kelas II dan hubungan antara total coliform dengan bahan organik dan BOD (Biological Oxygen Demand) di Sungai Banjir Kanal Barat dan Silandak. Metode yang digunakan dalam penelitian ini yaitu metode survei. Pengambilan sampel terdiri dari 2 stasiun (A dan B) yang masing-masing terdapat 5 titik dan 2 kali pengulangan (P1 dan P2). Variabel utama yang dianalisis yaitu total coliform, bahan organik dan BOD, variabel pendukung yang diukur yaitu temperatur, salinitas, DO (Dissolved Oxygen ) dan pH. Berdasarkan hasil penelitian, jumlah total coliform pada stasiun A berkisar antara 240-16000 MPN/100 mldan 23-5400 MPN/100 ml pada stasiun B. Nilai total coliform pada titik A2 dan B2 pada P1 serta A5 P2telah melebihi bakumutu. Hubungan antara total coliform dengan bahan organik yaitu sangat lemah (nilaiPearson Correlation = 0,15). Hubungan antara total coliform denganBOD yaitu lemah (nilaiPearson Correlation= 0,378). Banjir Kanal Barat and Silandak Rivers are large rivers in Semarang. There are various activities along the river flow, including domestic activities and industries where waste effluents enter the river bodies causing a decrease in water quality. One of the microorganisms contained in domestic waste that as an indicator of pollution is coliform bacteria, so it is necessary to calculate the total coliform in order to find out the pollution in the Banjir Kanal Barat and Silandak Rivers. This study aims to determine abundance of total Coliform, water quality status based on PP No. 82 of 2001 class II and relationship between the total coliform with organic matter and BOD (Biological Oxygen Demand) in the Banjir Kanal Barat and Silandak Rivers. The method used in this study is survey method. Sampling consisted of 2 stations (A and B), each of which had 5  points and 2 repetitions (P1 and P2). The main variables analyzed were total coliform, organic matter and BOD, the supporting variable analiyzed were temperature, salinity, DO (Dissolved Oxygen ) and pH. Based on the results of the study, the total number of coliform at station A ranged from 240-16000 MPN/100 ml and 23-5400MPN/100 ml at station B. The total value of coliform at points A2 and B2 at P1 and A5 P2 has exceeded the standard. The relationship between total coliform and organic matter is very weak (Pearson Correlation value = 0.15). The relationship between total coliform and BOD is weak (Pearson Correlation value = 0.378). 


2012 ◽  
Vol 38 (1) ◽  
pp. 49-61 ◽  
Author(s):  
Jovana Brankov ◽  
Dragana Milijašević ◽  
Ana Milanović

The Assessment of the Surface Water Quality Using the Water Pollution Index: A Case Study of the Timok River (The Danube River Basin), Serbia The Timok River (202 km long, 4547 km2 basin area) is located in East Serbia. It is a right tributary of the Danube River and one of the most polluted watercourses in Serbia. On the basis of the data provided by the Republic Hydrometeorological Service of Serbia, the paper presents an analysis of water quality and pollution using the combined physico-chemical WPI index (Water Pollution Index) calculated for two periods - 1993-96 and 2006-2009 at four hydrological stations: Zaječar-Gamzigrad (Crni Timok River), Zaječar (Beli Timok River), Rgotina (Borska Reka River) and Čokonjar (Timok River). The following parameters were taken into consideration: dissolved O2, O2 saturation, pH, suspended sediments, Five Day Biochemical Oxygen Demand (BOD5), Chemical Oxygen Demand (CODMn), nitrites, nitrates, orthophosphates, ammonium, metals (Cu, Fe, Mn, Hg, Ni, Zn, Cd), sulphates and coliform germs. The average WPI values were calculated for the observed periods based on the comparison of the annual average values of the listed parameters and defined standard values for the I water quality class (according to the Regulation on the Hygienic Acceptability of Potable Water of the Republic of Serbia). The highest pollution degree was recorded in the Borska Reka River, where heavy metal levels (especially manganese and iron) were significantly increased. These metals are indicators of inorganic pollution (primarily caused by copper mining). Also, increased values of the organic pollution indicators (ammonium, coliform germs, Five-Day Biological Oxygen Demand - BOD5) in the Borska Reka and the Timok rivers are the result of uncontrolled domestic wastewater discharge.


2020 ◽  
Author(s):  
ANTÓNIO CARLOS PINHEIRO FERNANDES ◽  
LISA MARIA DE OLIVEIRA MARTINS ◽  
LUÍS FILIPE SANCHES FERNANDES ◽  
FERNANDO ANTÓNIO LEAL PACHECO

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