Watershed Prioritization in Lower Shivaliks Region of India Using Integrated Principal Component and Hierarchical Cluster Analysis Techniques: A Case of Upper Ghaggar Watershed

Chauhan, Nitin; Paliwal, Rakesh; Kumar, Vipin; Kumar, Sanjit; Kumar, Ritesh

doi:10.1007/s12524-022-01519-6

Cited by 7 publications

(9 citation statements)

References 35 publications

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“…Hierarchical cluster analysis (HCA) was performed to group the monitoring points, using Euclidean distance as a measure of similarity in relation to key parameters. Ward's method was used to measure the distance between the clusters in the agglomerative hierarchy [31,32]. All parameters were standardized to eliminate the interference of measurement.…”

Section: Factors Analysis Methodsmentioning

confidence: 99%

Analysis of Water Quality and Habitat Suitability for Benthic Macro-Invertebrates in the Majiagou Urban River, China

Zhang

Liu

et al. 2023

Water

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The macro-invertebrate is an important part of the aquatic food web of urban rivers, and it is of great significance in understanding its ecological suitability for the stability of river ecosystems. Previous studies, such as those that have conducted suitability index and canonical correspondence analyses (CCAs), have widely used a macro-invertebrate suitability analysis; however, these studies can only confirm a few coupling relationships between the environment and macro-invertebrates. In our study, one-way ANOVA, HCA, PCA and GAM models were used to explain the differences in the spatial and temporal distribution of environmental factors, as well as to reduce data redundancy. A response curve of the critical environmental factors and macro-invertebrates was constructed, and the nonlinear relationship between these factors and benthic animals was quantified to analyze the ecological threshold of the macro-invertebrates. The study area was the Majiagou River, Harbin, China. The results show that COD had significant seasonal differences due to complex hydrological conditions, and most of the water quality factors had spatial differences. The GAM model explained 60% of the Margalef diversity index (MDI) variance. The relationship between chlorophyll-a and MDI was unimodal, and MDI and NH4+-N essentially showed a negative correlation; when the total nitrogen (TN) value reached 5.8 mg/L, MDI reached its peak. When MDI was higher than the mean value, the chlorophyll-a range was 18.1 μg/L~83 μg/L. The NH4+-N was less than 1.8 mg/L, and TN was 1.8~6.8 mg/L. This study provides a reference for the comprehensive management of urban river ecosystems.

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Section: Factors Analysis Methodsmentioning

confidence: 99%

Analysis of Water Quality and Habitat Suitability for Benthic Macro-Invertebrates in the Majiagou Urban River, China

Zhang

Liu

et al. 2023

Water

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“…2021;Ghasemlounia and Utlu 2021). Typically, flood susceptible areas are analysed using hydrologic and hydraulic modelling approaches with field-based measurements or remote sensing data is used to feed the database into the analysis model (Maan et al 2020;Bharath et al 2021;Chauhan et al 2022). However, statistical analysis principles were developed based on spatial models to conduct flood susceptibility studies to determine its behaviour (Nguyen et al 2020;Suharyanto 2021;Khiavi et al 2022).…”

Section: Introductionmentioning

confidence: 99%

Flood Susceptibility Mapping Using Logistic Regression Analysis In Lam Khan Chu Watershed, Chaiyaphum Province, Thailand

Waiyasusri¹,

Wetchayont

Tananonchai

et al. 2023

GES

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Due to Tropical Storm Dianmu’s influence in the Lam Khan Chu watershed (LKCW) area, central Thailand saw its worst flood in 50 years from September 23 to September 28, 2021. The flooding lasted for 1-2 months. The objective of this research is to study flood susceptibility using logistic regression analysis in LCKW area. According to the study 11 floods occurred repeatedly between 2005 and 2021, in the southern of Bamnetnarong district and continued northeast to Chaturat district and Bueng Lahan swamp. These areas are the main waterways of the LKCW area, the Lam Khan Chu stream and the Huai Khlong Phai Ngam, for which the dominant flow patterns are braided streams. The main factors influencing flooding are geology, stream frequency, topographic wetness index, drainage density, soil, stream power index, land-use, elevation, mean annual precipitation, aspect, distance to road, distance to village, and distance to stream. The results of the logistic regression analysis shed light on these factors. All such variables were demonstrated by the β value coefficient. The area’s susceptibility to flooding was projected on a map, and it was discovered to have extremely high and high levels of susceptibility, encompassing regions up to 148.308 km2 (8.566%) and 247.421 km2 (14.291%), respectively, in the vicinity of the two main river sides of the watershed. As a result of this research the flood susceptibility map will be used as a guideline for future flood planning and monitoring.

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“…It is a global phenomenon that affects both developed and developing countries and poses significant challenges for wildlife conservation and human development (Dickman et al, 2011) [4] . HWC can occur due to various reasons, such as habitat loss and fragmentation, resource competition and availability, human behavior and attitudes, and wildlife behavior and ecology (Chauhan et al, 2019) [2] . It can have various impacts, such as crop and livestock losses, human injuries and deaths, property damage, wildlife injuries and deaths, population decline or extinction, habitat degradation or loss, negative emotions, mental health problems, social problems, reduced well-being, and quality of life (Mishra et al, 2003;Kumaraguru et al, 2018; Padmakumar & Shanthakumar, 2023) [10,9,13] .…”

Section: Introductionmentioning

confidence: 99%

The impact of human-wildlife conflict on biodiversity conservation in India

Padmakumar¹,

Shanthakumar²

2023

J. Entomol. Zool. Stud.

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Human-wildlife conflict (HWC) is one of the greatest threats to wildlife species and their habitats in India, as well as a major challenge for the well-being and livelihoods of rural communities. India has the world's largest human population and the largest wild populations of tigers, Asian elephants, one-horned rhinos, Asiatic lions, and other globally threatened species, which often share space and resources with humans. HWC can result in crop and livestock losses, human injuries and deaths, property damage, and negative attitudes towards wildlife conservation. This paper aims to review the causes, impacts, and mitigation measures of HWC in India, drawing from various sources of literature and data. The paper also discusses the social, economic, and ecological dimensions of HWC, and the challenges and opportunities for achieving a socially just form of conservation that balances human needs and wildlife protection.

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Watershed Prioritization in Lower Shivaliks Region of India Using Integrated Principal Component and Hierarchical Cluster Analysis Techniques: A Case of Upper Ghaggar Watershed

Cited by 7 publications

References 35 publications

Analysis of Water Quality and Habitat Suitability for Benthic Macro-Invertebrates in the Majiagou Urban River, China

Analysis of Water Quality and Habitat Suitability for Benthic Macro-Invertebrates in the Majiagou Urban River, China

Flood Susceptibility Mapping Using Logistic Regression Analysis In Lam Khan Chu Watershed, Chaiyaphum Province, Thailand

The impact of human-wildlife conflict on biodiversity conservation in India

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