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Water Poverty Index (WPI) is an effective tool to assess water stress by linking physical approximations of water availability with socioeconomic drivers of poverty at household and community levels. It also helps in determining the priority needs for interventions and makes the better use of water resources without compromising the environmental integrity at the policy level. This study presents a comparative analysis of WPI to assess the water stress in two local units i.e., Mahakali Municipality-4 (Upstream) and Bhimdatt Municipality-13 (Downstream) of the Darchula and Kanchanpur districts, respectively along the Mahakali River Basin (MRB), Sudurpaschim Province, Nepal. Five components, i.e., resource availability, use of resources, capacity to utilize water sources, accessibility to water sources, and environment were applied to appraisal the water poverty. Under these components, 28 indicators were selected to visualize the water poverty condition. The information for acquiring these indicators was collected by making the field visit, semi-structured questionnaire survey, and secondary information from relevant sources. The results showed that the downstream segment has a higher WPI value (65.43) in comparison to the upstream segment (52.60) of the MRB, indicating relatively water-advantaged and stressed situations in down- and up-streams, respectively. Interestingly, despite having higher resource availability, the upstream region exhibited more stressed situations reflecting spatial heterogeneity in terms of capacity, environmental conditions, and infrastructure development to use the available water resources. Thus, in order to reduce the water stress conditions, priorities for intervention must be given to the water use capacity, especially in the upstream segment of the MRB. This study could be useful for academia and policymakers for the sustainable use of water resources in the MRB, Susurpaschim Province, Nepal.

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Considering the serious threat of landslides to life, property, and the environment, this study aimed at exploring past landslides (2005-2020) to evaluate landslide susceptibility. The study is carried out in the Rangun Khola watershed, in western Nepal covering an area of 488 km2. The landslide inventory map was prepared, recognizing 494 landslides, among them 70% were used for susceptibility mapping, and the rest 30% for validation purposes. The size of the landslide was found in the range of 103.53 m2 to 149120.1 m2, with an average of 4677.35 m2. Frequency ratio (FR) and logistic regression (LR) models were implemented for landslide susceptibility assessment based on the various intrinsic factors. The validity of the models was assessed by using receiver operating characteristic (ROC) curves. The success rate was 87.6% for the LR model with a prediction rate of 87.3% indicating a good degree of fit. Similarly, with a success rate of 76.4% and a prediction rate of 75.1%, the result obtained from the FR model was a fairly good performance. Thus, both exhibited reasonably good accuracy in predicting the susceptibility of the landslide and are considered to be in land management and hazard mitigation, and policy formulating purposes.